Search

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]

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]

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]

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]

With the progressive implementation of Low-Carbon Policies based on Life Cycle Assessment (LCA) methodologies to assess climate change mitigation, biofuels' potential environmental advantages could finally be translated into economic revenues, especially for residue-based production chains. This implies, however, tackling environmental hotspots along the Life Cycle, such as the use of enzymes, an important input in cellulosic ethanol production. While relevant, however, aspects of enzyme manufacturing, crucial to the LCA results, are often oversimplified in databases or even undisclosed, which might render the accounting for this flow unreliable. A potential solution for this is to model enzyme production, disclosing aspects such as carbon source uptakes, energy consumption and purification steps, all of which may carry significant environmental burdens, especially for fossil-reliant procedures. Integrating these steps into the biorefinery process design as an on-site operation, however, would allow access to renewable energy and carbon sources for enzyme production, potentially reducing their burden in the final biofuel LCA profile, when compared with off-site supply. This work, then, aims to evaluate the effect of inserting on-site enzyme production within a stand-alone second-generation (2G) biorefinery, using sugarcane straw as feedstock, to produce ethanol and electricity, as opposed to off-site enzyme supply from manufacturers. The results show that adopting on-site production can reduce the overall environmental impact profile for cellulosic ethanol, in comparison to off-site supply, even though off-site data present significant variability among databases and literature. This trend persisted for varied enzyme dosages in the saccharification process and for different inventories to model off-site supply. The reference inventories for off-site supply lack transparency and details, while also displaying large discrepancies between impact indicators, indicating the need to pursue more consistent, reliable, and complete inventories for its modelling in LCA. Compared to first-generation (1G) sugarcane ethanol, 2G-ethanol (with on-site enzyme production) demonstrated a reduction in the Global Warming Potential category of around 80%. However, relevant trade-offs for 2G ethanol (with off-site enzyme supply) were observed – regarding ecotoxicity, mineral scarcity, eutrophication and even the potential GHG reduction – when different enzyme inventories are used. [Display omitted] • On-site enzyme production leads to lower environmental impact. • Enzyme dosage and off-site inventory choice do not alter this previous conclusion. • With on-site production, enzymes cease to be the major hotspot within the life cycle. • On-site production leads to a 53% GHG emissions reduction, compared to off-site. • There are trade-offs among impact categories for cellulosic ethanol production. [ABSTRACT FROM AUTHOR]

The progress made in the penetration of renewable energy (RE) sources in most parts of the world is not fast enough for achieving the international climate mitigation targets. Furthermore, there is a lack of energy planning strategies, methods and tools for assessing the implementation of RE technologies which considers the social support. In this work, we present a replicable multi-criteria spatial approach based on geographical information system to estimate the potential of solar photovoltaic (PV), wind and biomass energy technologies that could be implemented in the short-term in a given territory. This potential includes environmental, technical (with economic attributes) and geographical (with social-acceptability attributes) constraints, together with existing local power plants considerations for calculating the electricity generation by technology, and then estimating its jobs creation and greenhouse gas emissions reduction. The approach was applied to the province of Jaén (Southern Spain), which has a pronounced unbalance between its inner electricity production and consumption and apparently is a territory with great technical potential for the aforementioned technologies. Results show that this province has a short-term implementable potential that would annually produce 8.9 TWh from solar PV, 911 GWh from wind energy and 683 GWh from biomass plants; which is 3.8 times greater than the current electricity consumption and would require 1.5% of the total surface of Jaén. This potential can create about 92,800 direct jobs and avoid the emissions of 3.78–8.61 MtCO 2 to the atmosphere. The proposed approach can be useful for energy planning processes and for allowing decision-making to accelerate the implementation of RE power plants in order to achieve the climate mitigation goals. • A multi-criteria GIS-based approach with local consideration is proposed. • A renewable energy potential with economic and socio-acceptability attributes was estimated. • 6.6 GW of photovoltaic (PV), 0.6 GW of wind and 88 MW of biomass energy can be installed in the near-term in Jaén. • PV and wind energy installed capacity would occupy 1.5% of the total surface of Jaén. • About 92,800 direct jobs can be created and 3.78–8.61 MtCO 2 emissions avoided. [ABSTRACT FROM AUTHOR]

In the context of climate change mitigation and sustainable energy infrastructure development, this paper focuses on the successful implementation of microgrids supplied by renewable energies in very diverse environments. Taking into account the challenges of reaching economies of scale, this paper is targeted at identifying success factors for microgrid implementation. The success factors are derived from case study analyses of microgrids implemented in the Global South and in communities of Germany. The goal of the research is to develop a mutual understanding of common values and so support future developments. The analysis covers the categories of ownership and participation; technology and system design; and policy and financing. The results show that microgrids in the Global South and renewable-energy-based communities in Germany share a number of success factors. The results demonstrate that a high share of ownership by users and the flexibility to expand the microgrid with user needs are particularly promising features. To verify the application of the identified success factors, the latter are applied to analyze the microgrid concept of “swarm electrification”. The analysis concludes that the concept of swarm electrification is consistent with the success factors, making it a high-potential approach for renewable-energy-based electrification. [ABSTRACT FROM AUTHOR]

Urban areas play a key role in climate change mitigation. We investigate here energy systems design to increase the use of renewable electricity (RE) such as photovoltaics and wind power in cities. We analyzed the hourly temporal and spatiotemporal energy demand and supply patterns in Delhi, Shanghai and Helsinki to understand how energy systems respond to high RE shares, and to determine realizable levels of RE power. The results indicate that if limiting the RE output to the instantaneous power demand, a 20% yearly share of electricity could be reached. Increasing the RE beyond this limit without a smart design adds only limited benefit. Adding short-term electrical storage could increase the RE share of power in Shanghai to 50–70%, in Delhi to 40–60%, and in Helsinki to 25–35%. An electricity-to-thermal conversion strategy in which surplus RE power is utilized for heating, enables to increase the wind power use in Helsinki up to 64% of the yearly electricity demand, but in addition, to cover 30% of the yearly heat demand. Such a scheme would add ca 10% to the overall wind power investment. A high RE share affects the existing power mix and the plant capacity factors, which need to be re-optimized. In the above cases, RE replaces fossil fuel and coal power plants and therefore the CO 2 emission reductions from smart design are proportional to the RE shares shown. Smart energy system design could help mainstreaming renewable electricity as part of the cities' carbon reduction strategies. [ABSTRACT FROM AUTHOR]

Transforming and expanding the electricity sector are key for climate change mitigation and alleviation of energy poverty. Future energy systems based on renewable energy sources may reduce greenhouse gas (GHG) emissions but could require more materials during construction. We assess this trade-off by quantifying the requirements of the main bulk materials used in electricity infrastructures for 281 global electricity sector pathways until 2050. We identify main determinants for material requirements and gauge the relevance of socio-economic framework conditions and climate change mitigation regimes. Five selected, highly diverse scenarios are analysed in detail by quantifying their respective annual material stocks and flows, and cumulative GHG emissions to 2050. We find robust evidence that scenarios in line with the 1.5 °C target are associated with significantly higher material requirements than scenarios exceeding a global temperature rise of 2 °C. Material stocks in 2050 differ by up to 30% for copper, 100% for concrete, 150% for iron/steel and 260% for aluminium (3rd quartiles of Monte Carlo simulations), even when the particularly material-intensive "Below 1.5 °C″ scenarios are excluded. Although power plants account for the largest part of the material requirements, grid expansion and reinforcement, necessary to accommodate large shares of volatile power generation and provide universal access to electricity, also cause substantial material demand. In the absence of future GHG mitigation in the processing industries, GHG emissions related to bulk materials (primarily iron/steel and aluminium) could amount to one tenth of the remaining carbon budget for a 50% chance of limiting global warming to 1.5 °C. However, if preference is given to material-efficient technologies, low-carbon processes are applied in the industries and increased material recycling is achieved, GHG emissions related to bulk materials in decarbonisation pathways will not significantly exceed those in largely fossil fuel-based scenarios. • Global electricity sector pathways to 2050 require large amounts of bulk materials. • High-renewable scenarios that meet climate targets are most material-intensive. • Future iron/steel and aluminium requirements imply large greenhouse gas emissions. • Without mitigation, cumulative GHG emissions could be 10% of the 1.5° carbon budget. • Mitigation options include material efficiency, technology development & circularity. [ABSTRACT FROM AUTHOR]

Currently, it is believed that the share of renewable energy in the overall balance of electricity production should increase in view of the climate change mitigation needs. Analysis of the current capacity of renewable energy shows that the hydropower constitutes the largest part. In this article, the authors undertook the assessment of the impact of hydropower plants on the hydromorphological conditions of the rivers on which they are located. Research sections located upstream and downstream of the facilities and on reference sections were investigated and compared for selected rivers in Poland (Oder, Bystrzyca, Ślęza Rivers) and Belgium (Meuse River). Impacts of the hydropower plants were studied based on 42 indicators, including physical conditions, coastal habitats, morphology, and hydrological regime. It was also determined which hydromorphological indicators influenced the hydromorphological conditions. Results show that in the sections upstream of the hydropower plants, the average hydromorphological state is moderate, whereas it is poor downstream of the plants and very good in the reference stations. From the 42 analyzed indicators, 26 show a deterioration in the hydromorphological state, and 14 show an improvement. The hydromorphological conditions are mostly influenced by anthropogenic pressures, the presence of transverse and longitudinal obstacles in the riverbed, river regulation, and changes in the hydrological regime and flow conditions. The presented methods used in individual EU countries (HIR, HEM, QBR, and MC) complement each other well and their results show a high convergence of the findings for the general hydromorphological state, with an average level of agreement of 82.14%. • Hydromorphological studies within hydropower plants in Poland and Belgium were shown. • Impacts of the hydropower plants were studied based on 42 indicators under 4 methods. • Hydropower plants have an ambiguous effect on the hydromorphology of rivers. • The most pronounced influence concerned the impacts on the hydrological regime. • There was a deterioration in 62.9% of the indicators, and an improvement – in 33.3%. [ABSTRACT FROM AUTHOR]

Identifying what developing countries need to address climate change is of great significance for promoting North-South and South-South climate cooperation and implementing the Paris Agreement. In this study, based on questionnaires surveys of 143 representative government officials, experts, scholars, and industry engineers from developing countries who have been engaged in climate change, the current situation and priority requirements of developing countries in terms of policies and actions, technology, financing, capacity building, and international cooperation for addressing climate change were systematically analyzed. We found that 1. Most developing countries have already taken national general actions and sectoral and industry-level actions focus on renewable or clean energy, waste management and recycling, sustainable urban transport and forestry carbon sequestration. 2. The demands for climate change mitigation are mainly concentrated in technology and capital, and the priority areas are energy and electricity and waste management; for climate change adaptation, the demands differ significantly among regions. 3. Developing countries show high preferences for emission reduction and energy-saving technology, solar energy, wind energy and bio-energy, whereas a low preference for supercritical and ultra supercritical power units, nuclear energy and tidal energy. 4. Agroforestry, energy conservation and efficiency, renewable energy and water resources are priority areas for climate change financing. 5. Building institutional capacity, improving technology R&D networks and institutions, formulation and implementation ability of planning schemes, and data statistics and verification are priority areas needed for capacity building. To better address climate change, developing countries need to establish and improve information exchange channels or platforms and strengthen South-South climate cooperation while optimizing the allocation of climate change resources according to the priority needs. • Developing countries' needs to address climate change are systematically analyzed. • Priority areas in terms of technology, capital, capacity building are identified. • Demands for climate change mitigation are concentrated in technology and capital. • Priority technology needs are energy-saving, solar, wind and biomass energy technology. • Need to strengthen South-South climate cooperation according to the priority needs. [ABSTRACT FROM AUTHOR]

This study proposes a clean, reliable and affordable hybrid energy conversion technology that is based on sunlight and wind, with a hydro based energy storage system. The proposed system comprises Photovoltaic arrays, wind turbine (WT) and Pumped Hydro Energy Storage (PHES). The study was focused on satisfying energy demand of a typical coastline community, Patani (Lat. 5.23° N and Long. 6.17° E) – a Local Government Area (LGA). Genetic algorithm was adopted to optimise the PHES of the proposed hybrid plant to minimise the difference between energy demand and energy generated. Economic models were developed to ascertain the economic feasibility of the hybrid plant. High fidelity software (HOMER®, MATLAB® and MS Excel® spreadsheet) were utilised for the analysis and optimisation. The peak rated power of PV and WT required to satisfy the energy demand of the LGA are 217 kW p and 226050 kW, respectively. The minimum storage capacity of the PHES was estimated at about 3,930,615 kWh, with the upper reservoir volume of 43170.06 m3. The value of 0.27 $/kWh was obtained for the Levelised Cost of Energy (LCOE); while the loss of load probability of the proposed energy system was estimated at 0.1086. The proposed energy system supports the Sustainable Development Goal 7 – affordable and clean energy, with climate change mitigation potential. • Optimal PV-Wind-Pumped hydro energy system. • Stochastic (heuristic) optimisation procedure. • Mini-grid hybrid energy system for a coastal community. • Affordable and clean energy system. [ABSTRACT FROM AUTHOR]

During a period of transition towards decarbonised energy networks, maintaining a reliable and secure energy supply whilst increasing efficiency and reducing cost will be key aims for all energy supply chain (ESC) networks. Renewable energy sources, such as biomass, will play an important role in future ESCs as climate change mitigation becomes an increasingly important priority. This paper seeks to address these requirements by presenting an optimisation model for the design and planning of biomass integration into the ESC networks. A supply chain model was derived and the governing equations were solved using the General Algebraic Modelling System software (GAMS) to achieve an optimal solution. The results of the study indicate that a reduction in the emissions cost of up to 4.32% is achievable on integration of 5–8% of biomass into the ESC network. However, a 4.57% increase in the total cost of the ESC network was recorded at the biomass fraction in the mixed fuel of 7.9%, with the fixed assets cost having the largest impact on the total cost of the ESC network. It has been shown that the cost increment in the assets and operational costs of a biomass and coal co-fired combined heat and power plant can be offset by the cost reductions obtained from reduced carbon dioxide emissions. Economic arguments for dual-fuel plants, therefore, require the introduction of effective carbon pricing legislation. It is concluded that such policy implementations can be effective at mitigating the effects of climate change and would assist in achieving a global carbon neutral economy. • Renewable energy sources are key to decarbonization of energy supply chain (ESC). • Optimisation model for ESC design and planning with biomass integration is derived. • State-task network approach was employed in GAMS to represent the ESC network. • ESC network with a 7.9% of biomass showed a 4.32% reduction in the emission cost. • Integration of biomass resulted in a 4.57% rise in the total ESC network cost. [ABSTRACT FROM AUTHOR]

Renewable energy systems are now accepted to be mandatory for climate change mitigation. These systems require a higher material supply than conventional ones. Particularly, they require more copper. The production of this metal, however, is intensive in energy consumption and emissions. Therefore, renewable energy systems must be used to improve the environmental performance of copper production. We cover the current state of research and develop recommendations for the design of renewable energy systems for copper production. To complement our analysis, we also consider studies from other industries and regional energy systems. We provide six recommendations for future modeling: (a) current energy demand models for copper production are overly simplistic and need to be enhanced for planning with high levels of renewable technologies; (b) multi-vector systems (electricity, heat, and fuels) need to be explicitly modeled to capture the readily available flexibility of the system; (c) copper production is done in arid regions, where water supply is energy-intensive, then, water management should be integrated in the overall design of the energy system; (d) there is operational flexibility in existing copper plants, which needs to be better understood and assessed; (e) the design of future copper mines should adapt to the dynamics of available renewable energy sources; and (f) life cycle impacts of the components of the system need to be explicitly minimized in the optimization models. Researchers and decision-makers from the copper and energy sector will benefit from this comprehensive review and these recommendations. We hope it will accelerate the deployment of renewables, particularly in the copper industry. • Copper is required to build energy systems of the future. • Smart integration of renewables can lower the cost of cleaner copper production. • We provide six recommendations to model these systems. • Further efforts are required in the modeling of energy demand and flexibility. • Following these recommendations will enable cleaner and cheaper designs. [ABSTRACT FROM AUTHOR]

In the energy and climate policy commitments of the European Union, the following targets have been foreseen up to 2030: reducing the greenhouse gas emissions of 40%, improving the energy conversion efficiency of 27%, and producing 27% of the energy from renewable energy sources. Nowadays, thanks to the development of reliable and efficient technologies, several possibilities exist to replace fossil fuels with renewable energy sources, such as wind power, solar, hydropower, geothermal, and biomass. In the Alpine region, biomass can play a key role for achieving the objectives foreseen by the EU policy strategy. In the last few years, due to the high available potentials of residues from forestry operations and sawmill processing, the Alpine region witnessed the development of centralized biomass district heating plants. The aim of the present study is to assess the environmental impacts of 18 biomass-based plants located in the Alpine region using a Life Cycle Assessment approach and to analyse the current market destination of the wood residues. The data were collected through face-to-face interviews with the stakeholders of the forest-wood supply chain (managers of biomass-based plant, sawmills, forest owners and enterprises). From the environmental point of view, the results of the Life Cycle Assessment (global climate change impact: 5–90 gCO 2 MJ−1) show that the "critical points" in the forest-wood supply chain are: the transport phase (1–54 gCO 2 MJ−1) and the wood processing phase (6–36 gCO 2 MJ−1). The results provided by Life Cycle Assessment can be used to increase the scientific knowledge of the environmental impacts related to the biomass conversion technology and to underline the weak points of the forest-wood supply chain. Furthermore, these results can support the decision makers in defining climate change mitigation strategies at regional and local level. • LCA is a key tool to highlight the environmental critical points of the bioenergy system. • Feedstock origin and biomass-based plants size affects the environmental impacts. • Short wood supply chain has a key role to reduce environmental impacts. [ABSTRACT FROM AUTHOR]