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Woody biomass energy makes up a large share of renewable energy consumption in the EU, and the largest share in countries like Denmark. However, little is known about how the public perceive it. This paper presents the results of a questionnaire-based survey of the public in Denmark focusing on attitudes toward woody biomass for energy. The main findings are that, while more people favor than oppose it, a large proportion are undecided about the use of woody biomass. The survey also revealed a lack of knowledge about this energy source. A Best-Worst Scaling methodology revealed that Danes prioritize environmental sustainability concerns – namely biodiversity loss, the hindering of the development of other renewable energy sources and the climate change mitigation potential of woody biomass – over societal and/or economic ones when it comes to the promotion of woody biomass. Finally, it was found that concern about climate change, belief in the mitigation potential of woody biomass, and being younger explained the formation of positive attitudes toward woody biomass. Policy makers aiming to take public concerns into account in discussions about Denmark's energy future should focus more on minimizing the negative environmental impacts associated with woody biomass rather than on its economic benefits. [Display omitted] [ABSTRACT FROM AUTHOR]

In order to implement bioeconomy strategy and seek climate change mitigation, the enhancement of bioenergy production and consumption is required. Looking at a bottom-up approach in which a society can choose its renewable energy supplier, it is important to analyze what mechanisms contribute to the willingness to use bioenergy. In this paper, the Lithuania case, when the citizenry got a chance to choose an independent energy supplier, was considered. Applying the structural equation modelling the impact of financial, social and informational mechanisms, knowledge about bioeconomy and about the benefit on the environment and the willingness to use bioenergy was evaluated. The results showed that the financial mechanism and knowledge about bioenergy and the benefit on the environment influenced the willingness to use bioenergy the most. Information mechanism also influenced this intention. Meanwhile, social mechanism had no effect both on knowledge level and intention to use bioenergy. Therefore, this study could contribute to the formation of bioeconomy policy and the enhancement of bioenergy usage in the household sector. [ABSTRACT FROM AUTHOR]

Power pooling has emerged as a regional strategy for accelerating generation capacity expansion in West Africa with the aim of leveraging vast domestic energy resources and promoting investment in regional power infrastructure. As part of their climate action pledges, most West African countries have committed to increasing the shares of variable renewable energy (VRE), particularly solar photovoltaic and wind power, in their generation mix. It, however, appears that approaches to utility-scale capacity expansion planning tend to overlook the inherent temporal intermittency and spatial variability of VRE-based generation. Moreover, despite influencing the techno-economic rationale for grid expansion and off-grid electrification, as well as the trade-offs between high renewable supply areas and grid expansion, the spatial distribution of demand has been overlooked in planning approaches, leading to conservative and weak prospects for the contribution of utility-scale VRE. Such inconsistencies with the region-wide potentials and policy ambitions highlight that it is paramount for West Africa to design its power pooling such that spatial and temporal fluctuations of VRE supply are duly considered in capacity expansion planning while taking advantage of complementarities between VRE supply and national electricity demand profiles. To address this, the present paper applies a long-term generation capacity expansion model, OptGen, soft-linked to a least-cost operation module, the SDDP tool, which is enhanced by geospatial electrification analysis using the OpeN Source Spatial Electrification Tool (OnSSET), to a subset of four member countries of the West African Power Pool – Burkina Faso, Côte d'Ivoire, Ghana, and Mali – for the 2023–2040 time horizon. The results highlight that current frameworks lead to missed opportunities for bridging the supply-demand gap in all countries, not only in terms of VRE generation capacity, but also of cross-border power trade. • Long-term capacity expansion planning and dispatch models are soft-linked. • The spatial and hourly distributions of demand and renewables supply are considered. • The 10% limit on renewables share used in the regional master plan is not optimal. • The current system operation is not conducive to optimal cross-border trade. • The relaxed transmission scenario yields higher dispatch factors for renewables. [ABSTRACT FROM AUTHOR]

Illinois passed the Energy Transition Act (i.e., the Climate and Equitable Jobs Act or CEJA) in 2021, which established clean energy mandates with an emphasis on social equity. We examine CEJA and related policies to understand the politics of Illinois' energy transition. While CEJA has been praised as an approach to a just transition, critics argue that it exacerbated Illinois' rural-urban dichotomy by distributing benefits to urban areas defined as 'environmental justice communities' and tangible costs, in the form of clean energy infrastructure, to rural communities. We demonstrate that, leading up to and in response, 1) local governments deployed measures to oppose renewable energy development and 2) the state, in turn, scaled authority for energy governance upward to inhibit opposition. By framing reduced participation as necessary for just climate action, Illinois undermined procedural forms of justice viewed as critical to a just transition and reinforced energy as a partisan political issue. This case illustrates how a narrow definition of justice can contribute to distributive conflict in the energy transition and identifies a need for more inclusive strategies to manage such conflict. • Environmental (EJ) not energy justice metrics guide Illinois' energy transition. • Approach unevenly distributes benefits and burdens across an urban-rural gradient. • Illinois limits local authority over energy development to inhibit rural opposition. • Procedural injustice fosters climate action but threatens a just transition. • Policymakers must inclusively manage distributive conflict in the energy transition. [ABSTRACT FROM AUTHOR]

Reliable, up-to-date biomass data are needed for climate change mitigation and resource efficiency. Therefore, a calculation and reporting tool with thematic maps and data was developed. A free web-tool, Biomass Atlas, collects the spatial distribution of biomasses in Finland. Over 300 data layers present land use, cultivation, residual biomasses from forest, crop production, animal husbandry, municipalities, and industry at 1 km2 spatial resolution. The service enables calculations of biomass amount in a defined geographical area of interest and examining the opportunities and restrictions to utilise biomasses. The service was evaluated with six test-users in laboratory tests and 20 voluntary pilot test-users. Biomass Atlas shows the regional potential of biomaterials, fertilizer products, and renewable energy, as well as potential targets for utilized, recyclable biomass. Other possible uses include monitoring plant cover on fields and assessing land use diversity. Application enables users with no experience in GIS or biomass assessments to analyse biomass resources, produce maps and data summaries for decision making. [Display omitted] • Biomass Atlas is a spatially explicit web application to assess the biomass data. • Amounts and location of produced and recyclable biomass in Finland. • Forests, agricultural areas, crops and sidestreams on thematic maps. • Biomass modelling and calculation tools are given at 1 km2 spatial resolution. • Data for decision making on biomass utilisation for biomaterials, nutrients, and energy. [ABSTRACT FROM AUTHOR]

Planning power system (PS) towards renewable energy is crucial for reducing carbon dioxide (CO 2) emission as well as mitigating climate change. However, the inherent uncertainty and hierarchical structure of PS pose intractable challenges to the planning process. This study develops a multi-GCM-based interval bi-level programming (MIBP) method that can balance two-level decision-making conflict between CO 2 -emisison reduction and system cost minimization. MIBP can also deal with uncertainties expressed as interval values in objective functions and constraints. Then, a MIBP-PS model is formulated to plan PS for China (2021–2050), where the upper-level objective is to minimize CO 2 emission and the lower-level objective is to minimize the system cost. The major findings are: (i) the CO 2 emission for PS would reach peak value before 2030 and then reduce by [10.2, 20.4]% in 2050, which is mainly owing to the curtailment of fossil fuel; (ii) compared with the conventional model, CO 2 emission from MIBP-PS model could decrease by [3.1, 4.8]%, which shows the superiority of the developed model; (iii) the fossil-fuel power would be gradually replaced by renewable energy, and the proportion of coal-fired power would decrease by 38.8% by 2050, especially small coal-fired facilities (i.e., below 0.3 GW) should be gradually phased down. [Display omitted] [ABSTRACT FROM AUTHOR]

Approximately 172 million rural households in China in 2022, will still rely on traditional biofuels instead of electricity. This study explores the feasibility of achieving rural electrification in China utilization various Energy origins and assesses its potential impact on climate change mitigation. To do so, we employ the Regional Energy Model (REM) to formulate hypotheses for rural power distribution. Covering the era from 2020 until 2050. We evaluate consequences in terms of greenhouse gas discharges, principal energy consumption, associated expenses by comparing these possibilities with a Business- as -Usual (BU) scenario. Our findings reveal that diesel-based arrangements tend to produce 'the maximum Carbon Dioxide (CO2) emissions, trailed by network-based solutions. Electrification focused on renewable energy-driven applications has the potential to reduce total CO2 emissions by up to 97 % and primary energy consumption by 43 % in 2050 compared to the BU scenario. We also find that electrification through decentralized diesel systems tends to be the priciest choice. Rural electrification utilizing renewable energy emerges as a cost-effective choice when the majority of end-use applications rely on renewable energy sources. However, it becomes less economical than network expansions when electric end-user appliances are predominant. In summary, this study investigates the viability of renewable energy for rural power distribution and its role in climate change abatement in rural China, offering policy suggestions. • Analyzes six energy-based scenarios for China's rural electrification until 2050. • Evaluates GHG emissions, energy use, and costs impacts with regional energy model. • Provides policy insights and uncertainties for China's sustainability goals. • An oil price and distance-based analysis also is done with extra 6 scenarios. [ABSTRACT FROM AUTHOR]

In the pursuit of sustainable development, accurate renewable energy demand forecasting holds great significance for climate change mitigation and promoting sustainability. However, renewable energy forecasting has been consistently challenged by seasonality and nonlinearity. Identifying the periodic and nonlinear characteristics concealed within renewable energy sources accurately is still an unexplored problem. Consequently, an innovative nonlinear discrete seasonal grey model is proposed for renewable energy forecasting, which incorporates seasonal dummy variables and a power exponent term for handling the seasonality and nonlinear patterns in time series. Furthermore, an intelligent algorithm matching framework is proposed to augment the flexibility of the newly developed model. For practical purposes, the new methodology is contrasted against a range of benchmarks encompassing statistical, machine-learning, and traditional grey models in forecasting the quarterly total renewable energy consumption in the United States. The proposed model exhibits over 27% improvement rates over its counterparts, achieving the most superior predictive accuracies of 1.45%, 39.27, and 0.79 in MAPEP , RMSEP , and MASEP metrics, respectively. Furthermore, the probability density and sample size analyses are conducted to validate the robustness of the new model, confirming its adaptability and stability towards algorithm randomness and historical information volume. Consequently, the novel model is employed to forecast the short-to-long-terms renewable energy consumption in the U.S., showcasing an upward trend and seasonal fluctuations of the consumption for the forthcoming 24 quarters from 2023Q4 to 2029Q3. These insights can offer valuable implications to the stakeholders such as energy suppliers, utility managers, and policy advocates, highlighting actionable strategies for optimizing renewable energy consumption forecasting and aiding sustainable development initiatives. • An innovative nonlinear discrete seasonal grey model is proposed for renewable energy forecasting. • The optimum algorithm matching the novel model is determined from five alternatives. • The Monte Carlo Simulation and parameter sensitivity analysis advance the robustness. • PSO with the optimal parameter group has been selected for searching coefficients. • The new model possesses higher accuracy and robustness than various competitors. [ABSTRACT FROM AUTHOR]

Energy transitions in Indigenous, Northern and remote communities in Canada promise benefits that go beyond reliable, clean and affordable energy services. The Federal and Provincial governments have committed funding to get remote communities off diesel, acknowledging energy transitions' global and local benefits. Besides climate change mitigation, other benefits, including job creation, income generation, community ownership and local economic growth, are fundamental components of the value proposition of renewable energy projects. However, despite the promises, little evidence of the impacts of renewable energy on communities' local conditions exists. This article looks at the relationship between renewable energy projects and community well-being in Canada. We construct a panel of Indigenous communities and well-being levels using Census data and information about renewable energy projects for the period 1981–2016. The findings suggest that renewable energy is associated with higher levels of well-being. Concretely, having access to renewable energy increases overall well-being by 1 to 5 points on the 0–100 well-being scale, depending on the component of the well-being index considered in the analysis. • Renewable energy and community wellbeing is an essential relationship for successful energy transitions. • The size of the renewable energy projects is strongly associated with higher community wellbeing. • Communities that hold majority ownership of renewable energy projects exhibit higher wellbeing levels. • Solar and wind energy projects are associated with higher wellbeing levels, whereas hydropower is associated with lower ones. [ABSTRACT FROM AUTHOR]

The application of green energy technologies to supply berthed ships in ports with the necessary power instead of using their diesel generators is considered an initiative towards sustainability and climate change mitigation. Therefore, the current paper investigates the implementation of solar panels, offshore wind turbines, and hydrogen fuel cell systems as green technologies to supply the berthed ships with power in three Egyptian ports. The power requirements are determined by analyzing the annual ship traffic data and estimating the energy demand for each ship type. As a relevant result, the annual energy demand for ships berthed in Alexandria, Damietta, and Safaga ports is about 44.2 × 103 MWh, 22 × 103 MWh, and 5.6 × 103 MWh, respectively. The analysis results reveal a potential annual carbon dioxide reduction of 31.7 k-tons, 15.7 k-tons, and 4.2 k-tons in Alexandria, Damietta, and Safaga ports, respectively. From an economic perspective, the levelized cost of energy (LCOE) of solar panels is estimated to be 80.7–90.1 $/MWh, while hydrogen fuel cells have a cost of 166.8–172 $/MWh. On the other hand, LCOE in the case of wind turbines is estimated to be 140.8 $/MWh for Alexandria ports, 178.3 $/MWh for Damietta port, and 103.9 $/MWh for Safaga port. [ABSTRACT FROM AUTHOR]

Integrated energy systems for multi-purpose applications are garnering increased interest in the international nuclear energy community, energy system designers and planners and decision makers in the context of deep decarbonization and net zero targets. They are expected to reduce costs and increase flexibility in operation of nuclear reactors when coupled with intermittent renewable energy sources, while also producing various commodities such as hydrogen or potable water. Adaptive solutions must be considered for each geographical area and based on the involved components of the energy system, available infrastructure, and policy in place. This paper provides an in-depth look at the strengths, weaknesses, opportunities, and threats of such systems, while addressing different aspects related to the creation of the business case for such systems including decentralization and digitalization of future energy systems. The regulatory aspects are the ones that impose challenges on the emerging hybrid energy systems and this paper highlights some of the considerations that are needed for the couplings involved, in terms of licensing procedures and safety analysis. The potential contribution of such integrated energy systems towards achieving the United Nations Sustainable Development Goals (UN SDGs) are also discussed. Concerning the stakeholders, special attention should be paid to building social acceptance and trust as this lays the foundation for successful implementation of such projects. By focusing on areas such as research and development, integration of technologies, policy support, market development, grid integration, energy storage, efficiency improvement, system modelling and simulations, significant advances in integrated/hybrid energy systems deployment can be achieved. • Role of integrated energy systems in deep decarbonization for climate change mitigation. • Strengths, weaknesses, opportunities, and threats of multigeneration energy systems. • Decarbonization, decentralization and digitalization based business models. • Integrated systems can help achieving sustainable development goals (SDG7,11,13). • Hybrid energy systems can address the challenges of intermittency and grid stability. [ABSTRACT FROM AUTHOR]

[Display omitted] • It analyzes the feasibility of achieving net zero emission in the Chinese power sector by 2050 and the required policy measures. • It is essential to foster the concurrent development of renewable energy, energy storage, and demand response technologies. • The carbon pricing mechanism with exponential growth is more suitable. • Referring to the European offshore wind power investment model is beneficial for the development of offshore wind power in China. The low-carbon transition in China's power sector plays a crucial role in the mitigation of climate change worldwide, and increasing renewable energy penetration rate is widely recognized as the key approach to decarbonize this sector. This paper proposes a renewable energy penetration model to examine the feasibility for net zero emission by 2050 in China's power sector taking into account of economic and social development. It also evaluates the impacts of carbon pricing and financial incentives on renewable energy penetration and carbon emissions. The results indicate that along with economic development, China's electricity demand will continue to grow, but at a gradually slowing rate. It is possible for the power sector to achieve net zero emission by 2050 while meeting this growing electricity demand, with a renewable energy penetration rate of 75%. To ensure the achievement of the goal, we recommend setting the carbon price with the current market price as the baseline and increasing it annually by a relative increment index of 10%. Furthermore, given the high initial cost and late start of offshore wind power, we suggest incorporating associated grid connection cost into the transmission and distribution price to ensure the comprehensive and healthy development of renewable energy. [ABSTRACT FROM AUTHOR]

The global call to address climate change and advance sustainable development has created rapid growth in research, investment, and policymaking regarding the renewable energy transition of Indigenous communities. From a rightsholder perspective, Indigenous Peoples' vision of sustainability, autonomy, and sovereignty should guide research on their energy needs. In this paper, we present a multi-method, inductive examination to identify gaps between Indigenous communities' expressed needs and rights, and the questions researchers and policymakers investigate in energy transition research conducted in the context of Indigenous communities located in Canada. We combine a systematic review of the extant literature, a scoping review of the grey literature on off-grid communities by Indigenous and non-Indigenous governments and non-governmental policy bodies, qualitative primary data collected via fieldwork, and an in-depth study of an Indigenous-led renewable energy transition study conducted by Haíɫzaqv Nation's Climate Action Team. We holistically examine these different perspectives and identify emergent themes to recommend ways to bridge the gaps between off-grid renewable energy research and stated Indigenous community priorities. Specifically, we recommend designing equitable research practices, understanding community worldviews, developing holistic research goals, respecting Indigenous data sovereignty, and sharing or co-developing knowledge with communities to align with community priorities closely. • There is a research-practice gap in Indigenous communities' energy transitions. • We used a multi-method inquiry integrating Indigenous and Western approaches. • Renewable energy literature diverges from the Indigenous community vision and goals. • Indigenous research methods can reduce the research-practice gap in high-tech fields. • Community-based approaches can use traditional laws to yield actionable outcomes. [ABSTRACT FROM AUTHOR]

In a comprehensive analysis of the global transition towards renewable energy, the study revealed significant disparities in adoption rates and technological advancements across nations, while also underscoring the potential for an extensive shift in energy paradigms. Utilizing data from the renewable energy map scenario, findings indicate that renewable energy sources could command up to two-thirds of the global primary energy supply by 2050, a stark contrast to the modest 24% contribution predicted by the reference scenario. European Union countries, particularly Denmark and Germany, emerge as frontrunners in this transition, with impressive wind energy integrations and overall renewable mixes. In Asia, rapid strides are evident with countries such as China and India demonstrating an annual growth rate surpassing 30% in solar and wind sectors. The Americas, represented robustly by the United States, Canada, and Brazil, highlight a diverse renewable integration, each varying in their contributions. Meanwhile, Middle Eastern countries, are progressively diversifying their energy portfolios, and while Africa displays potential, the transition is constrained by infrastructural challenges. The study underscores the tangible global momentum towards renewable energy but emphasizes the continued disparities influenced by a myriad of geopolitical, technological, and economic determinants. The outcomes of this research not only elucidate the current state and trajectory of renewable energy adoption but also underscore the critical importance of tailored policies, investments, and collaborations to accelerate this global shift. [ABSTRACT FROM AUTHOR]

Direct air capture (DAC) technology plays a crucial role in mitigating the effects of global warming by capturing carbon dioxide (CO 2) directly from the atmosphere. A significant technical challenge for DAC is its high thermal energy consumption, which results in an unacceptable overall cost (600 $ t CO 2 – 1). The combination of a high-temperature heat pump (HTHP) and DAC system offers a substantial reduction in thermal energy consumption, decreased reliance on renewable energy sources, and enhanced DAC system flexibility. This study presents three distinct thermal integration strategies that combine an HTHP with solid adsorbent-based DAC and verifies their effectiveness in reducing energy consumption and CO 2 emissions compared to a traditional DAC system. Among them, the deeply integrated DAC-HTHP system (I-DAC) exploits low-grade adsorption heat and waste heat, providing direct heating and cooling energy to the DAC system via refrigerant condensation and evaporation processes. Simulation results indicate that the I-DAC system achieves an extremely low operating energy consumption of 2.77 GJ t CO 2 – 1 , representing a 69.5% reduction than traditional DAC under the same conditions. Consequently, the I-DAC offers a cost-effective (32.0–46.2 $ t CO 2 – 1) negative emission solution. We also demonstrate that the I-DAC is promising for wide application in cities to recycle waste heat and remove CO 2 from the air. The comprehensive implementation of the I-DAC in 105 cities could yield a net annual productivity of 980 MtCO 2. • Proposed a deeply thermal integrated DAC system (I-DAC) with waste heat recovery heat pump. • I-DAC achieved a 69.5% reduction in specific energy consumption compared to base-DAC. • I-DAC offers a cost-effective and scalable negative emission solution for climate change mitigation. • Successful implementation of I-DAC in 105 cities could yield a net annual capture capacity of 980 MtCO 2 by 2050. • Highlights the potential of I-DAC to recycle waste heat and remove CO 2 from the air, with policy implications [ABSTRACT FROM AUTHOR]

The present article sets out to examine the connection between energy transition and factors associated with renewable energy sources, buildings and other sectors, placing emphasis on France. The methodology includes: Collection of scholarly writings, classification, identification of research questions, bibliographic analysis, identification of important findings, discussion. The results of a study (EDF, Le nucléaire en chiffres) demonstrated that, in 2019, around 80% of the electricity production from nuclear energy (in France) was provided by 4 regions: Auvergne-Rhône-Alpes , Grand Est , Centre-Val de Loire , Normandie. France has a high dependence on nuclear power generation and, for this reason, renewable-energy penetration is an imperative part of the French energy transition. Numerous studies show that energy transition requires actions based on burgeoning and avant-garde technologies, and effective policies. Moreover, energy transition poses challenges: decisions on nuclear power plants, sustainable development of small-island economies, etc. A discussion on the energy transition in Corsica (France) is also provided. Regarding the French overseas territories Corse (Corsica), Guadeloupe , Martinique , Guyane , Mayotte , Réunion , the findings of a study (Rakotoson and Praene, 2017) demonstrate that thanks to renewable energy sources/network interconnection, Corsica and French Guiana have lower emissions in comparison to the other territories: 0.505 and 0.373 kg CO 2.eq /kWh e , respectively. • The role of renewable energy sources in energy transition has been analysed. • Factors related to buildings, industry, etc. have been discussed (emphasis: France). • France, 2019.→ ≈ 80 % of the nuclear electricity generation was provided by 4 regions • There are challenges such as energy storage and decisions on nuclear plants. • Corsica and French Guiana: emissions 0.505 and 0.373 kg CO 2.eq /kWh e , respectively. [ABSTRACT FROM AUTHOR]

Renewable energy appears to be the most optimal alternative to fossil fuel and the widely accepted pathway towards the mitigation of climate change. However, the costs of adopting renewable energy are high, and it appears the wealth of nations, the stages of economic development and growth and institutional willingness and quality are important in winning this global challenge. However, there is limited information on the interplay of all the factors that are perceived as critical in moving the world towards the use of renewable energy sources to meet most of the domestic and industrial energy needs. This study investigates the inter-temporal causal relationship between institutions, renewable energy, carbon emissions and economic growth for 45 sub-Saharan Africa countries using annual data for the period 1960–2017. We used the generalised method of moment panel vector autoregression (GMM-PVAR) technique to explore the linkages. From a general perspective, the results reveal that no causal relationship exists between institutions and economic growth, but a bidirectional causality exists between economic growth and renewable energy. Our results indicate that economic growth causes carbon emissions, and institutions are more likely to respond to carbon emissions and renewable energy but prompts no causality exists between carbon emissions and renewable energy. Interestingly, these results differ between countries with different institutional origin. The policy implications are discussed. [ABSTRACT FROM AUTHOR]

Ambitious climate change mitigation scenarios require large-scale deployment of bioenergy and solar photovoltaics. Utilizing recently abandoned cropland for renewable energy production is a promising option for energy supply while reducing competition for land and food security. However, the magnitude of abandoned cropland and its potential for renewable energy production is still unclear. Here, we mapped recently abandoned croplands at a global level and assessed the site-specific primary energy potentials for bioenergy and solar photovoltaics considering local climatic conditions, energy yields, and socio-economic feasibility constraints to identify optimal land use for renewable energy production. Of the 83 Mha of the identified abandoned cropland between 1992 and 2015, 68% of the area presented higher development potentials for the establishment of solar photovoltaic compared to dedicated bioenergy crops. In total, 125 EJ/year of primary energy can be produced with this optimal land management, of which 114 EJ/year is from solar photovoltaic and 11 EJ/year is from bioenergy. This figure corresponds to 33–50% of the projected median renewable energy demand in 2050 across the 1.5 °C stabilization scenarios. Mapping the suitability of renewable energy sources across different local, environmental, and socio-economic constraints will help identify the best implementation options for future energy systems transformation. • Recently abandoned cropland is a promising option for renewable energy production. • More than 80 million hectares of abandoned cropland is identified globally. • An optimal combination can produce 125 EJ per year on the abandoned cropland areas. [ABSTRACT FROM AUTHOR]

Achieving net zero emissions is a crucial challenge in the global climate change policy. It requires a substantial reduction in unabated fossil fuel use, the deployment of renewable energy sources, and the development of carbon capture, utilisation and storage technologies. The aim of this study was to investigate and compare two CO 2 capture retrofits for natural gas combined cycle (NGCC). First one, amine absorption, is already mature and characterised as commercial technology, whereas second one, calcium looping is a promising method but still under pilot studies. Energy required for capture process yields net efficiency penalty, which in conducted research totalled 8.4% points for amine unit and 7.4–15.5% points in calcium-looping units. The economic evaluation was performed to analyse the impact of both concepts on their profitability. Moreover, the climate change mitigation potential was assessed and indicated that carbon capture can lower the emissivity of a conventional power plant by 82–87% or even contribute to achieving negative emissions when biofuels are used. Carbon dioxide capture is one of the key elements of ongoing energy transition and its integration with NGCC power units could be determined as essential for maintaining energy security with net zero emissions. • The work provides the comparison between amine scrubbing and calcium-looping CO 2 capture for Natural Gas Combined Cycle. • CCS retrofit causes a net efficiency penalty between 7.4 and 15.5%p for analysed configurations. • Calcium-looping retrofit placed after the gas turbine yield lower SPECCA and higher unit power due to new steam cycle. • Using biogas as a feedstock to calciner of calcium-looping unit leads to negative CO 2 emissions. • Amine scrubbing retrofit has much lower CAPEX and OPEX than CaL units, yet they reach higher ΔNPV within 25 years. [ABSTRACT FROM AUTHOR]

During the last decades, several studies have shown that heat pumps are a promising solution to reach the European Union targets on climate change mitigation, since they satisfy the energy needs for heating, cooling and hot water production employing a single device and using a significant share of renewable energy. However, the full exploitation of the energy-saving potential of heat pumps is a difficult task for designers to achieve, as several factors, such as the variability of outdoor climatic conditions, the control logic of the system and the system configuration, influence the energy performance. High Coefficient of Performance (COP) and low environmental impact make Ground Source Heat Pump (GSHP) systems one of the most suitable technologies for the heating and cooling services, to promote the decarbonization of the building sector, especially in urban areas. The objective of this study is to assess a range of strategies for heat pump systems to achieve optimal performance that can be fully utilized. To do this, the authors analyse the performance of a 'positive' office building, located in Swansea University Bay, which is already featured with renewable energy technologies for electricity and heat generation: an integrated photovoltaic roof to generate electricity and a wall-photovoltaic thermal system. The current configuration ('baseline scenario') of the building-plant system was modelled in TRNSYS 17 environment and the influence of different parameters on the energy performances was studied. To complement the already high use of renewables the authors propose an alternative scenario for the Active Office Building integrating the use of geothermal heat pumps with the existing systems. By comparing the two scenarios on an energy and environmental point of view, it was possible to assess an 11% decrease in primary energy consumption, leading to a corresponding 11% reduction in greenhouse gas (GHG) emissions. [Display omitted] • GSHP are a promising solution to achieve EU energy goals, since they supply heating and cooling with a high share of RES. • The work proposed suggests optimization measures for buildings to increase efficiency. • A Positive Office Building, equipped with renewable technologies has been modelled with TRNSYS 17. • A technoeconomic and environmental analysis has been performed to assess the benefits of the adoption of a GSHP. • The proposed scenario has shown an energy saving of 11% and a reduction of GHG emissions with respect to the baseline one. [ABSTRACT FROM AUTHOR]

As a secondary energy source, hydrogen produced by water electrolysis is a promising way to sustainably use electricity generated from primary renewable resources. Thereby, hydrogen is not only a highly relevant feedstock for producing chemical products, such as fertilizers and platform chemicals, but also a valuable energy carrier that can be readily transported and stored. This study explores how transporting renewable hydrogen via pipeline from regions with high renewable energy potential to large consumer centers can help overcome current challenges in ensuring a climate-friendly renewable energy supply. To this end, this work assesses the environmental impacts of cross-border hydrogen supply chains relative to the attained operating hours of local hydrogen production and the required hydrogen transport distance via pipeline. Environmental hotspots along the hydrogen supply chain and the main parameters affecting the overall environmental impact were identified. Remarkably, an environmental trade-off emerges: the most suitable local conditions for producing renewable hydrogen need to be balanced against the distance of hydrogen transport to consumers. Nonetheless, the relevance of the transport distance decreases with an increasing share of renewable energies in the electricity mix for operating the compressor stations of the pipeline network. Considering the ongoing transition towards renewable power generation technologies, our results indicate that long-distance hydrogen transport via pipeline is environmentally justified provided that the share of renewable energies used to operate the compressor stations increases. • Renewable hydrogen supply chains are associated with environmental impacts. • Critical parameters focus on hotspots along the hydrogen supply chain. • Regions with high renewable energy potential are ideal for hydrogen production. • Benefits increase as the difference in renewable energy potential increases. • Distance becomes less relevant as energy transition progresses. [ABSTRACT FROM AUTHOR]

Environmental deterioration brought on by the top ten greenhouse gas emitters is a critical worldwide issue with far-reaching ramifications for global economic sustainability. The main purpose of this research is to explore the link between economic growth, energy consumption, trade openness, and environmental factors with a focus on achieving carbon neutrality without compromising economic growth in the top ten emitting countries by employing a dynamic STIRPAT modeling technique. The data used in this research was taken from various sources, such as the International Energy Agency and the World Bank. The research found a robust association between energy consumption and economic growth, with a correlation coefficient of 0.87. The results revealed that carbon emissions (CO 2) are positively related to per capita gross domestic product (PGDP), cubic GDP (G D P 3 ), international tourism arrivals (Tour) and energy consumption (EC), while negatively related to trade openness (TO) and squared GDP (G D P 2 ) in the top ten emitting countries, confirming the N shaped Kuznets curve hypothesis. Trade liberalization also impacted emissions with a coefficient of 0.65 (p < 0.01). The findings suggest that in order to simultaneously achieve carbon neutrality and continue economic development, it is imperative for the major polluting countries to embrace renewable energy sources and enact environmentally beneficial trade and economic measures. [Display omitted] • The study highlights collaboration for carbon neutrality and economic growth. • Results suggest a balance between carbon neutrality & economic vitality. • Renewable energy can drive economic growth while reducing emissions. • Results are policy relevant in achieving carbon neutrality. • The study validates the N shape Kuznets curve hypothesis. [ABSTRACT FROM AUTHOR]

[Display omitted] • First-time framing of renewable energy priority zones. • Definition of optimal combinations of advanced meteorological-technical criteria. • Application of wavelet analysis and coherence in a multi-criteria site assessment. • Wind energy priority zones found in 2–12% of Germany based on restriction scenario. • Solar energy priority zones found in 5–22% of Germany based on restriction scenario. The intensification of climate change impacts requires a fast and efficient transition of energy systems and deployment of renewable energies worldwide. An adequate site assessment strategy forms the basis for expanding installed capacities and energy yield. This study applies a set of meaningful criteria to determine site suitability for Germany's onshore wind and utility-scale solar photovoltaics facilities. An aggregated priority index involving meteorological-technical, economic, and environmental criteria is developed and used in a new concept for identifying renewable energy priority zones, where installations of wind and solar energy facilities should be prioritized. As a novelty, this resource-centered approach does not only analyze the mean energy potential as a meteorological criterion but also accounts for other characteristics such as variability, complementarity, and predictability. The results indicate that reducing legal restrictions substantially facilitates wind and solar energy capacity expansion in prioritized zones. With weak restrictions, up to 22% and 12% of Germany represent priority zones for an efficient and sustainable use of solar and wind energy. However, due to the intermittent nature of wind and solar resources, mismatches between generation potential and electricity demand would persist even with substantial capacity expansion. Future energy systems must advance the expansion of renewable energy capacities just as the flexibilization of demand or an increase of storage capacities to guarantee future energy security and mitigate climate change. The newly developed renewable energy priority zones are a starting point and can be transferred to other study areas by specifically adapting criteria and their weighting. [ABSTRACT FROM AUTHOR]

Renewable energies as an additional source have become vital in modern societies. The search for alternative energy sources has led the scientific community to the oceans, demanding a shift in energetic policies, which must be redefined to favor the development of renewable energy technologies at sea. The goal is to generate electric energy while producing less pollutants or even while using the outputs of human anthropic activities as input for the generation of energy, food, products and for the mitigation of climate change impacts. The present study focus on the Ocean Thermal Energy Conversion (OTEC) technology, which presents the greatest potential for energy exploitation from the oceans and which generates a range of by-products. The South Atlantic Ocean presents the potential to support OTEC plants, with emphasis on the region called Brazilian Ocean Thermal Energy Park, with a total coverage area of 1,893,000.00 k m 2 and an operating potential of up to 376 OTEC plants. Results of this work indicate that the park operation in maximum capacity can generate energy at a nominal power of 41.36 G W , and remove 60.16 G W or 60.16 G J / s of ocean heat and 8.13 k g / s or 256.37 T g / y e a r of atmospheric C O 2. • Definition of a Brazilian viable oceanic region for an OTEC plant operation: the Ocean Thermal Energy Park (OTEP). • The OTEP is able to operate up to 376 plants, with a damping area of 5,026 Km2/plant for the thermodynamic effects. • The location with the best MW/km ratio is in the power range between 120 and 125 MW. • The OTEP in its maximum capacity is capable of generating 41.36 GW of energy and withdraw 60.16 GW of heat from the ocean.. • The proposed OTEP can withdraw 256.37 Tg/year of atmospheric CO2 from the ocean. [ABSTRACT FROM AUTHOR]

A dramatic expansion of the worldwide wind power capacity is underway which is critical to an effective mitigation of climate change. However, wind tower infrastructure is susceptible to extreme weather conditions such as tropical cyclones and thunderstorms. Under the context of global climate changes and intense weather events, it is imperative to assess the impacts of extreme conditions on the susceptibility of the global wind power with important implications on energy security and power system resilience. In this paper, we discuss the necessity and rationality of wind power deployment considering extreme weather perspectives on enhancing the global sustainability, security, economics, and resilience. We assess the vulnerability of wind power to extreme weather events under climate change and present the correlation of wind power proliferation, extreme weather events, and climate change issues. Our results indicate that, if extreme wind speed increases by 20% considering a 50-year return wind speed and load safety factor is changed from 1.35 to 1.7, the initial capital cost of wind unit installation by the end of this century could increase by about 12% because of the higher strength in tropical cyclones. In this period, upward lightning strike will be intensified due to the use of taller wind turbines and higher angular speed of blades. Also, additional storm surges and sea ices will potentially cause higher risks to inland and offshore wind tower structures and foundations because of the continuously rising sea levels. It is confirmed in our discussion that the proliferation of wind power generation would be beneficial despite its vulnerabilities by curbing the use of fossil-based power generation units, mitigating severe carbon emission, and reducing climatic changes and extreme weather events, which could also cause significant structural damages to wind turbines installations globally. The article concludes that it is vital in the scientific community to further analyze the relationship among global wind energy integration, extreme weather events, and climate changes, and for politicians to formulate a comprehensive energy policy strategy, as engineers continue to investigate the means of deploying additional inland and offshore wind farms and consider other types of renewable energy resources with a direct link with weather conditions, for a sustainable, economic, secure, and resilient energy production. [ABSTRACT FROM AUTHOR]

The energy transition is at the core of sustainable development as it helps to combat global warming and climate change. Similarly, carbon markets also support the climate change mitigation. Therefore, by realizing the potential role of clean energy and carbon markets in ensuring environmental sustainability, this study analyzes the spillovers and connectedness between the environment (global carbon) and renewable energy sources (wind, solar, geothermal, biofuel, and fuel cell). The empirical analysis is conducted by applying the novel "TVP-VAR" connectedness framework of Balcilar et al. (2021) on the daily data over the period from August 1, 2014, to February 4, 2022. The findings show that solar and biofuel appear as the highest net shock transmitter among alternative renewable sources while global carbon is shown as the net receiver of shocks. The largest transmission of shocks to global carbon is observed from wind followed by solar. Although these findings support the connectedness between renewable energy and the environment, however this connectedness is influenced by economic crises such as the oil crisis and pandemic crisis. During COVID-19, the fuel cell was the highest transmitter of shocks. The results are important for policy formulation, investment, and portfolio management as they provide insights into the interconnectedness and help in boosting climate actions. [ABSTRACT FROM AUTHOR]

• Four scenarios investigated for CO 2 removal services and e-fuels/chemicals exports. • First study to explore the impact of such services on an exporting sunbelt country. • Offering such services and exports lowers several domestic cost metrics. • Concentrated solar thermal and solar PV equally optimal for CO 2 removal. • Regional distribution of installed capacities relies on renewables' full load hours. Transitioning to 100% renewable energy to mitigate climate change requires solutions for hard-to-abate energy sectors. It must also be complemented with negative emissions technologies to ensure climate security. Previous studies have investigated the feasibility of e-fuels and e-chemicals production for export and some carbon dioxide removal technologies in several regions. This study investigates, for the first time, the techno-economic impacts of offering such services on an exporting country's energy system as it transitions to 100% renewable energy by 2050. Egypt is used as a representative case study for sunbelt countries with adequate land area. Four scenarios with different system configurations have been investigated using the LUT Energy System Transition Model and compared to a reference 100% domestic renewable energy system. The results show that Egypt can technically provide 5% of the required global carbon dioxide removal capacity starting from 2035, and 10% of Europe's demand for e-fuels and e-chemicals starting from 2025 within land use constraints. The provision of both services enhances the domestic energy system performance by reducing the levelised costs of important feedstocks, carbon dioxide and hydrogen, as well as other domestic cost metrics and system losses. These findings are extendable and relevant to similar sunbelt countries. They are also relevant to European countries looking to fulfil their climate targets while diversify their energy imports sources. Overall, this study is an important step in 100% renewable energy transition research and international climate change mitigation efforts. [ABSTRACT FROM AUTHOR]

India has a significant importance in achieving the global Paris agreement's long-term goal as it is the world's third-largest consumer of energy. This paper aims to improve the understanding of the opportunities and constraints of decarbonizing India's electricity sector and adds to the growing body of literature by modelling the electricity sector in India with a dynamic optimization approach that assesses options for effective greenhouse reductions through carbon pricing. Attaining significant variable renewable energy penetration in India by 2050 is consistent with the lowest cost power generation options identified through our simulations, where solar and wind can provide 66 % of the electricity needs by 2050, even without a carbon price. With a carbon price of US$50/tCO2e, the simulations project that wind and power generation share in the electricity mix will rise to 81 %, leading to significant emission reductions. In this scenario, power sector emissions will be 164 million tCO2e by 2050, which is only about 14 % of the emissions levels in 2019. The analysis also indicates that fossil fuels remain part of India's electricity mix in 2050, but their role and operation would dramatically change. When a carbon price of US$50/tCO2e is introduced, coal capacity remains valuable to fill demand when solar and wind are not available. This would require modifications in operation schedules and repurposing coal power plants for frequent ramping up and down. [ABSTRACT FROM AUTHOR]

• A framework is proposed to find the optimal PV-BESS (Battery Energy Storage System) to operate a SAG mill. • Robust results are obtained with stochastic modeling considering solar variability. • The rock hardness variability has an impact on the sizing of the PV and BESS system. Grinding is one of the most energy-demanding processes of copper mines. Declining ore grades and harder rocks will further intensify this demand. Periods of stressed copper prices, high energy costs and climate change mitigation targets additionally motivate the search for alternative energy sources in mining. In Chile, many copper operations are located in the Atacama Desert, hence solar energy systems are an attractive solution. However, the mineral hardness is variable and uncertain in time and space, which adds challenges to planning energy systems with high solar shares. More specifically, here a stochastic optimization model is developed. It sizes the solar photovoltaic (PV), battery energy storage system (BESS) and the contracted power, based on the solar radiation, mineral hardness, and costs. Using Markov Chains, different years of solar radiation are generated from historical records. These solar scenarios are used to test the impact of individual years with long periods of cloudy/rainy days on the sizing of the system, in contrast to planning with an average year or planning with many-year time horizons in a stochastic approach. The novelties lie in the developed model, and in understanding the impact of the uncertainty and variability of rock hardness and solar irradiation on the optimal sizing of the PV-BESS system and the power capacity contract. Furthermore, the impact of a larger variability of ore hardness is evaluated in one scenario. PV-BESS can cost-effectively provide energy to the grinding mill. Different planning approaches lead to significant differences in the recommended power supply. In contrast to planning with the average solar year, using a conservative solar year (many cloudy days) yields significantly smaller sizes of PV and BESS (20% and 55%) and a higher reliance on the grid (larger contracts and imports); and the stochastic approach follows a similar line (10% and 25% smaller). Despite its increased grid dependency, the one-year stochastic approach provides more robust solutions regarding costs and sizes (avoiding penalties). The variability of the rock hardness also impacts the size of all components of the PV-BESS system, especially the battery energy capacity. Its relevance for battery sizing motivates to perform further studies with a focus on the uncertainty and variability of the ore. [ABSTRACT FROM AUTHOR]

Abstract 1.1 billion of the world's population still does not have access to electricity in the 21st century. Most of that population resides in the rural communities in developing countries in South Asia, Latin America and Sub-Saharan Africa. Access to electricity can eliminate existing problems related to health, education, social life, economy and the environment, and can increase the income of underserved communities. Most of the yet to be energized regions are in remote, isolated areas, that cannot be serviced through the central grid. While decentralized diesel generators can potentially be installed in these areas, they have a poor effect on climate change mitigation. Clean renewable energy alternatives for off-grid systems are being deployed to reduce the non-electrification rate in the world, and The United Nation Foundation's 2030 Agenda has the objective of universal access to electricity by 2030. While there has been some progress towards that goal, the challenges are countless. If no changes in models, policies and practices are made, the universal access objective will not be achieved, especially in Sub-Saharan Africa that has a level of electrification projection of 30% by 2030. To determine the necessary changes, this paper reviews the rural electrification initiatives in eight developing countries, from Asia to Sub-Saharan Africa to Latin America, and aims to provide an assessment of their success and to discuss the lessons that can be learned and applied on future initiatives. Highlights • Different approaches to first-access systems have been studied. • The role of policy-making and its impact on project success is highlighted with real examples. • Experiences of different countries and different regions have been compared. • Lessons learned from these experiences are shared and keys parameters for more effective project development have been shared. • The research direction of this field and possible future work are documented. [ABSTRACT FROM AUTHOR]

Graphical abstract Highlights • Comparing alternative fuels with potential for low-carbon intensities. • Technical process design and economic assessment of hydrogen and CO 2 -based fuels. • Environmental life-cycle assessment considering the full carbon cycle. • Identification of methodological challenges in carbon accounting of CO 2 -fuels. Abstract The deployment of low-emission alternative fuels is crucial to decarbonise the transport sector. A number of alternatives like hydrogen or dimethyl ether/methanol synthesised using CO 2 as feedstock for fuel production (hereafter refer to "CO 2 -based fuels") have been proposed to combat climate change. However, the decarbonisation potential of CO 2 -based fuels is under debate because CO 2 is re-emitted to the atmosphere when the fuel is combusted; and the majority of hydrogen still relies on fossil resources, which makes its prospects of being a low-carbon fuel dependent on its manufacturing process. First, this paper investigates the relative economic and environmental performance of hydrogen (produced from conventional steam methane reforming and produced via electrolysis using renewable energy), and CO 2 -based fuels (dimethyl ether and methanol), considering the full carbon cycle. The results reveal that hydrogen produced from steam methane reforming is the most economical option and that hydrogen produced via electrolysis using renewables has the best environmental profile. Whereas the idea of CO 2 -based fuels has recently gained much interest, it has for the foreseeable future rather limited practical relevance since there is no favourable combination of cost and environmental performance. This will only change in the long run and requires that CO 2 is of non-fossil origin, i.e. from biomass combustion or captured from air. Second, this paper address unresolved methodological issues in the assessment of CO 2 -based fuels, such as the possible allocation of emissions to the different sectors involved. The outcomes indicate that implementing different allocation approaches substantially influences the carbon footprint of CO 2 -based fuels. To avoid allocation issues, expanding the boundaries including the entire system and is therefore recommended. [ABSTRACT FROM AUTHOR]

Abstract Green gas is a promising renewable energy carrier compatible with existing gas networks, whose environmental impact and capacity to decarbonise the energy sector is evaluated by life cycle assessment (LCA). This articles reviews 42 LCAs applied to biomethane, produced by anaerobic digestion, and bio-SNG, produced by gasification and methanation, discussing the main methodological choices and their effects on the results, and highlighting the limits of the use of LCA as a stand-alone approach in real-case applications. While uncertainty analysis was performed in 34 of the reviewed studies, only 3 studies integrated the LCA with process modelling or geospatial modelling. The lack of data for pre-commercial or newly-commercialised technologies has necessitated to the introduction of thermodynamic models giving mass and energy flows, especially in the case of bio-SNG. Limits due to geospatial case-specific constraints have been overcome by two studies introducing geographical information systems (GIS) based models to evaluate the impact of green gas production system on a regional level. Facility siting and sizing has been also found to be fundamentally important in evaluating the trade-off between profitability and environmental impact. Finally, this work highlights the need for a hybrid LCA, in which LCA is integrated with thermodynamic models of the process, GIS-based infrastructure design, and uncertainty quantification, in order to inform stakeholders of the economic, environmental and energy potential of green gas production systems. Graphical abstract fx1 Highlights • 42 LCAs of bio-SNG and biomethane production have been reviewed. • Thermodynamic models overcome the lack of data for emerging technology. • GIS-based models are used to design the supply chain in a limited number of reviewed LCAs. • A hybrid-LCA has been proposed for the evaluation of sustainability of green gas production. [ABSTRACT FROM AUTHOR]

Abstract The Paris Agreement brings countries together in a combined effort to combat climate change and its effects. A key target is the reduction of energy related greenhouse gas emissions. Providing biogas from biomass is one option to provide renewable and less carbon intensive fuels. When upgraded to biomethane it may be a substitute for natural gas and thus may have many application pathways. Recognising this potential many European countries installed governmental support programmes to stimulate market growth over the last decade. However, most of the installed schemes in Europe are time-limited. Besides being time-limited most of the schemes include a degression of compensation over time, resulting in many having limited success over longer time frames. This study questions the feasibility of near-term business cases for biomethane plants and analyses options for making them less dependent on governmental support programmes. Currently a market potential is seen in the utilization of process carbon dioxide in carbon capture and utilization or carbon capture and storage pathways, because it is a widely available side product from biogas upgrading. Therefore, we examined three business cases for its utilization in across sectors. To answer the research question we use a previously developed biomethane market simulation model and added an extension for new business cases. Results indicate that there are specific business options in the field of 2160 m³ h−1 to 20,840 m³ h−1 that are economical feasible under certain circumstances. Highlights • Use of CO2 in the chemical industry was not economically feasible even under optimistic conditions. • Utilization of carbon dioxide from biogas upgrading offers new business options. • Production of bio-LNG is a promising business option. [ABSTRACT FROM AUTHOR]

Abstract This paper aims to use a comprehensive modeling framework to investigate the intention of Iranian livestock producers to deploy renewable energies on their farms to mitigate climate change. A survey was conducted in southern Iran using a random sample of farmers (n = 140). Structural equation modeling showed that attitude, moral norm, subjective norm, and perceived behavioral control are significant predictors of farmers' intention to use renewable energies. Attitude was determined by positive affect and perceived benefits, and moral norm was determined by perceived benefits, perceived cost, and outcome efficacy. The findings not only have public policy implications for promoting the use of renewable energies by farmers in Iran, but also contribute to the literature on environmental psychology, renewable energy, and pro-environmental behavior in a non-Western country. Highlights • The study applied a social–psychological framework to investigate farmers' intention to use RE. • Structural Equation Modeling showed that moral norm was the strongest predictor of intention. • Perceived benefits were an important predictor of attitude and moral norm. • The path from perceived risk to both attitude and moral norm was not significant. [ABSTRACT FROM AUTHOR]

Global firms are increasingly adopting greenhouse gas mitigation targets in response to climate change. These targets serve as a spur for carbon mitigation initiatives, provide guidelines to select appropriate mitigation actions, and set the standards to measure the progress of the mitigation efforts. Despite their important functionalities, firm-level mitigation targets have rarely been studied. In this paper we aim to provide a comparative view on mitigation targets set by global firms across different countries and industrial sectors. The analysis focuses on four dimensions, i.e., adoption, metric, scope, and stringency. We find Japan far leads the other major countries in terms of target adoption, but the targets of Japanese firms are generally less stringent. Canadian firms are laggards in both target adoption and target stringency. The mitigation targets are also considerably uncommon among Australian firms. Firms in developing countries fall behind in target stringency and display a significantly greater divergence than developed countries in sectoral adoption rate. The European Union firms are most likely to cover the emissions in their supply chains in targets. Target stringency has substantially tightened from 2005 to 2012. For all the countries in this study, around 95% of the firm-level targets are more stringent than the Intended Nationally Determined Contributions submitted to the Paris Agreement. Setting mitigation target has a significant positive impact on both the likelihood of investing in renewable energy and the amount of investment in renewable energy. However, there is no evidence that more stringent targets lead to higher investment. These findings point to the most pressing issues with regard to corporate mitigation target-setting that policymakers and corporate management should address. [ABSTRACT FROM AUTHOR]

The installation of tilting-angle solar panels above agricultural plots provides renewable energy and means of action to dampen some of the effects and hazards of climate change. When the panels are properly operated, their drop shadow reduces water consumption by the plants, as a consequence of alternating shade and sun bands with a short-term impact on the stomatal conductance and a global decrease of gas exchanges. This urged the development of a new model for crop growth and water budget, adapted here from existing literature to handle such transient conditions, characterized by short-term (infra-day) fluctuations. The main difficulty was to combine short-term fluctuations in the climatic forcings (radiation interception and rain redistribution by the panels) and long-term agronomic evaluation, hence the coexistence of several calculation time steps in model structure. All field experiments were conducted on purpose in the agrivoltaic plot of Lavalette (Montpellier, France). Specific adaptations consisted in describing the stomatal behavior of the plants for fluctuating solar radiations and varied water status, aiming at improving both the piloting of the solar panels and water management, i.e. the choice of irrigation amounts. Model simulations have been able to reproduce the expected benefits from agrivoltaic installations, for example showing that it is possible to improve land use efficiency and water productivity at once, by reducing irrigation amounts by 20%, when tolerating a decrease of 10% in yield or, alternatively, a slight extension of the cropping cycle. Agrivoltaism appears a solution for the future when facing climate change and the food and energy challenges, typically in the rural areas and the developing countries and especially if the procedure presented here proves relevant for other crops and contexts. [ABSTRACT FROM AUTHOR]

The deployment of renewable technologies as part of climate mitigation strategies have provoked a range of responses from various actors, bringing public acceptance to the forefront of energy debates. A key example is the reaction of communities when renewable projects are proposed in their local areas. This paper analyses the effect that community acceptance has had on planning applications for onshore wind and solar farms in Great Britain between 1990 and 2017. It does this by compiling a set of indicators for community acceptance and testing their association with planning outcomes using binomial logistic regression. It identifies 12 variables with statistically significant effects: 4 for onshore wind, 4 for solar farms, and 4 spanning both. For both technologies, the visibility of a project, its installed capacity, the social deprivation of the area, and the year of the application are significant. The paper draws conclusions from these results for community acceptance and energy justice, and discusses the implications for energy decision-making. [ABSTRACT FROM AUTHOR]

Climate change and increased electrification of space and water heating in buildings can significantly affect future electricity demand and hourly demand profiles, which has implications for electric grid greenhouse gas emissions and capacity requirements. We use EnergyPlus to quantify building energy demand under historical and under several climate change projections of 32 kinds of building prototypes in 16 different climate zones of California and imposed these impacts on a year 2050 electric grid configuration by simulation in the Holistic Grid Resource Integration and Deployment (HIGRID) model. We find that climate change only prompted modest increases in grid resource capacity and negligible difference in greenhouse gas emissions since the additional electric load generally occurred during times with available renewable generation. Heating electrification, however, prompted a 30–40% reduction in greenhouse gas emissions but required significant grid resource capacity increases, due to the higher magnitude of load increases and lack of readily available renewable generation during the times when electrified heating loads occurred. Overall, this study translates climate change and electrification impacts to system-wide endpoint impacts on future electric grid configurations and highlights the complexities associated with translating building-level impacts to electric system-wide impacts. [ABSTRACT FROM AUTHOR]

Transitioning electricity generation sectors to renewable energy is a necessary element of climate change mitigation but a challenging one with years of technical and social lock-in creating considerable inertia and a pace of change insufficient to meet the task. Transition management has emerged as a promising approach to proactively manage and accelerate transitions in sectors like energy and water and has the potential to do so in manner that would help secure energy justice. However, the approach has been criticised for ignoring the political dynamics of transitions, risking procedural and recognition injustice for traditional energy production regions while increasing opposition to a transition. This paper uses a qualitative case study approach to understand how a transition to renewable energy generation could be achieved in a way that secures energy justice for traditional energy production regions like those of Gladstone in the Australian state of Queensland. The paper augments the transition management approach with the “just transitions” concept, which has emerged from labour movements as a means to mitigate negative impacts on workers and communities in traditional energy production regions, to create a “Just Transition Management” framework that is applied as a diagnostic tool to the case study. While results suggest a transition is imminent within Queensland, a lack of: consistent, supportive federal policy; long-term visions, and a clear process leaves it at risk of being captured by the powerful incumbent resources sector utilising an “environment vs. jobs” narrative. Yet, the results also suggest that adopting a just transition management approach has the potential to successfully resist the influence of the resources sector, by providing cheap, secure renewable energy and supporting affected workers into roles in the renewable energy sector using a reflexive, representative network governance approach. Data analysis reveals how the application of just transition principles has already engaged communities and unions that were previously sceptical of renewable energy. Overall, this study suggests that the just transition management framework assists in identifying the political barriers to transitions and energy justice more broadly, while also providing a management approach which creates powerful niche actor-networks to counter the narratives and influence of the incumbent resource sector. Thus it could support successful transitions that achieve the distributional, recognition and procedural justice needed for energy justice globally. [ABSTRACT FROM AUTHOR]

To mitigate climate change, many studies have been conducted to identify the determinants of CO 2 emissions. However, a consensus has not been reached yet on the issue because past work has often not considered the unobserved individual heterogeneity across countries. Therefore, this study revisits the environment-energy-growth nexus by employing a panel quantile regression to incorporate the effects of renewable energy consumption and technological innovation within the research background of global 30 countries over the period 1980–2014. The advantage of this method is considering the distributional heterogeneity to provide a detailed description of linkage between the CO 2 emissions and driving factors at different emissions levels. The results show that the effects of determinants on CO 2 emissions are heterogeneous. For high-emissions countries, the function of renewable energy consumption is limited in reducing CO 2 emissions due to the smaller proportion of renewable energy use. Moreover, technological innovation greatly affects countries with relatively higher CO 2 emissions. Therefore, one option is to financially support and apply technological innovations to generate renewable energy at lower costs as well as increase energy efficiency. Moreover, transforming the economic growth mode is helpful to transfer from non-renewable to renewable sources of energy to meet energy demand. [ABSTRACT FROM AUTHOR]

Renewable energy is an efficient tool to support China's endeavors to keep energy independence and mitigate climate change. This paper applies a Divisia index approach to investigate the factors governing renewable energy development in China, including the supply mix, energy security, carbon emission, and to forecast these requirements for the year 2020 and 2030. Grey relational model is employed to verify the relationships between renewable energy and its drivers. The results of the forecasts reveal the challenges of long-term deployment for renewable energy technologies. Other results show that during the research period, energy security makes a major contribution to renewable energy development. Energy security and substitution rate have relatively closer relationships with new and total renewable energy consumption respectively than that of other factors. Scenario analyses suggest that strong and continuing renewable energy policies will be helpful to achieve sustainable energy development in China and a strong synergy between renewable energy and energy security would emerge in the future. [ABSTRACT FROM AUTHOR]

Synthetic fuels are increasingly discussed when considering solutions to climate change mitigation. However, it is rather unclear what synthetic fuels are and their scope in replacing regular fossil fuels. Here, we propose a definition for synthetic fuels and discuss their classification based on production methods. These technologies are considered based on their scalability and extent of sustainability, along with the advantages they provide for overcoming renewable energy challenges. [Display omitted] • Synthetic fuels offer novel solutions to energy and environmental challenges. • Synthetic fuels can be grouped based on their synthesis strategies. • Intermediate molecules can play an important role in achieving new syntheses. [ABSTRACT FROM AUTHOR]

Anthropogenic activities and advancements in industries boost global energy demand and increase fossil fuel consumption, causing several global environmental problems, such as climate change. As a climate change mitigation strategy, the use of renewable energy technologies has gained unprecedented interest. In particular, the thermochemical processing of lignocellulosic biomass integrated with other renewable energy technologies has emerged rapidly. It is critical to select appropriate integrated renewable energy system configurations for sustainable and feasible power generation towards higher environmental benefits. Understanding the possible configurations of thermochemical lignocellulosic biomass processing technologies (gasification, pyrolysis, hydrothermal gasification, or hydrothermal carbonization) integrated with renewable energy technologies (solar thermal, fuel cell, fusion power, or energy storage) is crucial for the further development and propagation of the integrated renewable energy system. Hence, we provide a systematic review of the thermochemical conversion of lignocellulosic biomass integrated with the other renewable energy technologies. Finally, the challenges associated with the implementation of these systems and suggestions for future research on the systems are discussed. • Renewable energy technology is integrated with thermochemical biomass conversion process. • The integrated bioenergy systems help overcome limitations of single-source energy systems. • Challenges and prospects for the integrated systems are highlighted. [ABSTRACT FROM AUTHOR]

[Display omitted] • We propose criteria for siting Solar-Wind Hybrid Renewable Energy Systems. • Integration of fuzzy logic and the Best-Worst Method in GIS is consistent and efficient. • Chittagong is the most suitable area for Solar-Wind Hybrid Renewable Energy Systems. • Current land-use policy is a barrier to meeting renewable energy and climate targets. • GIS-based techniques can facilitate integrated geospatial decision-making. Solar-Wind Hybrid Renewable Energy Systems (SWHRESs) provide more reliable and efficient power than single systems and are, therefore, regarded as a promising tool for achieving SDG 7. However, the performance of SWHRESs in large-scale implementations is highly subject to the site selection method, which is subsequently crucial to achieving the goals of the transition from fossil fuels and climate change mitigation. To address this issue, this paper, based on a case study in Bangladesh, proposes a GIS-based BWM-Fuzzy Logic Method to select optimal sites for SWHRESs. The results show that SWHRESs are preferable to wind and solar systems alone. Totals of 11% and 25% of the area were suitable and moderately suitable, respectively, for SWHRESs, and the most suitable area for installation was Chittagong. The most influential criteria are solar irradiation, elevation, distance to rivers and waterbodies. The results of three sets of sensitivity analysis have demonstrated the robustness of the proposed method, and the comparative study has further shown that the proposed method performs better than methods proposed in previous studies. Hence, this study has provided a powerful tool for supporting decision-making regarding SWHRESs, thus offering a useful tool for achieving SDG 7. [ABSTRACT FROM AUTHOR]

To effectively mitigate climate change, variable renewable electricity (VRE) is expected to substitute a great share of current fossil-fired electricity generation. However, VRE investments can be obstructed by many barriers, endangering the amount of investments needed in order to be consistent with the Paris 2 °C target. To help policy-makers better understand and assess these barriers, an integrated framework was developed. It establishes a clear connection between barriers identified in literature and the investment decision-making process, based on the project life of VRE assets. Barriers in this framework are defined as factors hindering the realization of a positive final investment decision (FID), which can lead to investment withdrawal. Based on this research, we argue that addressing so-called “symptomatic” barriers alone is hardly effective when the “fundamental” barriers remain untouched. It also demonstrates that monetary and fiscal policies can have side-effects on VRE investments. We suggest that a comprehensive policy framework to support VRE should not be solely limited to the narrow context of climate and energy policy, and the electricity market. It should be incorporated in a broader context including monetary and fiscal policies. When re-designing these macroeconomic policies, their potential negative impacts on VRE investments should be considered. [ABSTRACT FROM AUTHOR]

Previous studies have noted the importance of electricity storage and hydrogen technologies for enabling large-scale variable renewable energy (VRE) deployment in long-term climate change mitigation scenarios. However, global studies, which typically use integrated assessment models, assume a fixed cost trajectory for storage and hydrogen technologies; thereby ignoring the sensitivity of VRE deployment and/or mitigation costs to uncertainties in future storage and hydrogen technology costs. Yet there is vast uncertainty in the future costs of these technologies, as reflected in the range of projected costs in the literature. This study uses the integrated assessment model, MESSAGE, to explore the implications of future storage and hydrogen technology costs for low-carbon energy transitions across the reported range of projected technology costs. Techno-economic representations of electricity storage and hydrogen technologies, including utility-scale batteries, pumped hydro storage (PHS), compressed air energy storage (CAES), and hydrogen electrolysis, are introduced to MESSAGE and scenarios are used to assess the sensitivity of long-term VRE deployment and mitigation costs across the range of projected technology costs. The results demonstrate that large-scale deployment of electricity storage technologies only occurs when techno-economic assumptions are optimistic. Although pessimistic storage and hydrogen costs reduce the deployment of these technologies, large VRE shares are supported in carbon-constrained futures by the deployment of other low-carbon flexible technologies, such as hydrogen combustion turbines and concentrating solar power with thermal storage. However, the cost of the required energy transition is larger. In the absence of carbon policy, pessimistic hydrogen and storage costs significantly decrease VRE deployment while increasing coal-based electricity generation. Thus, R&D investments that lower the costs of storage and hydrogen technologies are important for reducing emissions in the absence of climate policy and for reducing mitigation costs in the presence of climate policy. [ABSTRACT FROM AUTHOR]

In addition to carbon capture and storage, efforts are also being focussed on using captured CO 2 , both directly as a working fluid and in chemical conversion processes, as a key strategy for mitigating climate change and achieving resource efficiency. These processes require large amounts of energy, which should come from sustainable and, ideally, renewable sources. A strong value chain is required to support the production of valuable products from CO 2 . A value chain is a network of technologies and infrastructures (such as conversion, transportation, storage) along with its associated activities (such as sourcing raw materials, processing, logistics, inventory management, waste management) required to convert low-value resources to high-value products and energy services, and deliver them to customers. A CO 2 value chain involves production of CO 2 (involving capture and purification), technologies that convert CO 2 and other materials into valuable products, sourcing of low-carbon energy to drive all of the transformation processes required to convert CO 2 to products (including production of hydrogen, syngas, methane etc.), transport of energy and materials to where they are needed, managing inventory levels of resources, and delivering the products to customers, all in order to create value (economic, environmental, social etc.). Technologies underpinning future CO 2 value chains were examined. CO 2 conversion technologies, such as urea production, Sabatier synthesis, Fischer-Tropsch synthesis, hydrogenation to methanol, dry reforming, hydrogenation to formic acid and electrochemical reduction, were assessed and compared based on key performance indicators such as: CAPEX, OPEX, electricity consumption, TRL, product price, net CO 2 consumption etc. Technologies for transport and storage of key resources are also discussed. This work lays the foundation for a comprehensive whole-system value chain analysis, modelling and optimisation. [ABSTRACT FROM AUTHOR]

The European Union launched a set of policies as part of its 2020 climate and energy package aimed at meeting its 20/20/20 headline targets for smart, sustainable and inclusive growth. This paper evaluates how successful new-to-the-market climate change mitigation technologies (CCMT) are in helping EU member states (MS) reach these goals and, furthermore, whether there are differences between sectors subject to EU-wide polices. To do so, we relate CCMT patent counts to two specific headline targets: (1) achieving 20% of gross final energy consumption from renewables, and (2) achieving a 20% increase in energy efficiency. Our results provide the first ex-post evaluation of the effectiveness of these technologies for combating climate change. Moreover, our sectoral impact assessment points to significant differences in the way in which these technologies contribute to policy goals across the sectors. [ABSTRACT FROM AUTHOR]

Renewable energy is an important piece of the puzzle in meeting growing energy demands and mitigating climate change, but the potentially adverse effects of such technologies are often overlooked. Given that climate and ecology are inextricably linked, assessing the effects of energy technologies requires one to consider their full suite of global environmental concerns. We review here the ecological impacts of three major types of renewable energy – hydro, solar, and wind energy – and highlight some strategies for mitigating their negative effects. All three types can have significant environmental consequences in certain contexts. Wind power has the fewest and most easily mitigated impacts; solar energy is comparably benign if designed and managed carefully. Hydropower clearly has the greatest risks, particularly in certain ecological and geographical settings. More research is needed to assess the environmental impacts of these ‘green’ energy technologies, given that all are rapidly expanding globally. [ABSTRACT FROM AUTHOR]

Water is a prime element both for sustaining life on Earth and for complex human activity. In 2015 in Romania the average electricity production was of 7343 MW h and the average consumption was of 6590 MW h. The average hydropower generated was of 1894 MW h, which is equal to 26% of the total production. In this paper, we aim at reviewing the hydropower system in Romania from its beginnings, in 1884, to its present development. The first hydropower plant in Romania was in Sinaia and had an installed capacity of 4×250 kW. Now, Romania has more than 200 HPPs, with a total installed capacity of 6.443 MW. In Romania, hydropower is the first main source of energy among RES, followed by wind energy. Between 1950 and 1990 were built 115 hydropower stations. This period is characterized by the construction of most of the hydroelectric power plants in Romania, including the largest. The development of the hydro potential has begun in Bistrița basin. After 1990, in the transition period, after the fall of communism, the number of installed hydropower plants decreased, by 2010 totaling an installed capacity of only 838 MW, which means less than 14% of what was done before 1990. About 54% of Romania's hydropower potential is now arranged, and there are plans to reach 63.5% by 2025. The largest artificial lake of Romania is Lake Iron Gates I (Porțile de Fier I), constructed between 1964 and 1972 behind a 60 m’ dam. Iron Gate I rank position 52 out of 66, in the list of largest hydroelectric power stations in the world. Iron Gates I system is one of the largest hydro constructions in Europe and the largest on the Danube. [ABSTRACT FROM AUTHOR]