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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]

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]

With the growing literature related to climate change mitigation measures and policy interventions, a systematic review of the application of computable general equilibrium (CGE) model is inevitable. Therefore, this article aims to characterise the relevant studies, define a comparative framework to identify the current state-of-the-art and the gaps in applied general equilibrium models. Firstly, the systematic review found a total of 301 research articles from Scopus and Web of Science databases and finally analysed 154 articles based on inclusion and exclusion criteria from 67 refereed journals. The review analysis found that application of CGE model is very vital in addressing climate change mitigation issues at the national, regional and global levels. However, China attracted the most substantial research interests followed by the USA, India and Australia, among others, which are in line with their share of greenhouse gas emissions in the world. Most of the research themes focus on the carbon tax, emission reduction target, emission trading, renewable energy, energy efficiency, and carbon capture and storage as primary drivers of low carbon economy. Nevertheless, there is a trend of employing more static CGE model compared to the dynamic CGE, although application of the latter has a limitation of providing right inputs to the macroeconomic policy. Finally, research directions and gaps envision other complementary models such as dynamic stochastic general equilibrium (DSGE) and agent-based model (ABM) for proper policy interventions. [ABSTRACT FROM AUTHOR]

The threat of climate change and other risks for ecosystems and human health require a transition of the energy system from fossil fuels towards renewable energies and higher efficiency. The European geographical periphery, and specifically Southern Europe, has considerable potential for renewable energies. At the same time it is also stricken by high levels of public debt and unemployment, and struggles with austerity policies as consequences of the Eurozone crisis. Modeling studies find a broad optimum when searching for a cost-optimal deployment of renewable energy installations. This allows for the consideration of additional policy objectives. Simultaneously, economists argue for an increase in public expenditure to compensate for the slump in private investments and to provide economic stimulus. This paper combines these two perspectives. We assess the potential for renewable energies in the European periphery, and highlight relevant costs and barriers for a large-scale transition to a renewable energy system. We find that a European energy transition with a high-level of renewable energy installations in the periphery could act as an economic stimulus, decrease trade deficits, and possibly have positive employment effects. Our analysis also suggests that country-specific conditions and policy frameworks require member state policies to play a leading role in fostering an energy transition. This notwithstanding, a stronger European-wide coordination of regulatory frameworks and supportive funding schemes would leverage country-specific action. Renewed solidarity could be the most valuable outcome of a commonly designed and implemented European energy transition. [ABSTRACT FROM AUTHOR]

Renewable energy plays a crucial role in both climate change mitigation and adaptation in highly climate-vulnerable nations such as Nepal. This paper reviews various types of renewable energy technologies and their status, potential for adoption, relationship to climate change, and mitigative and adaptive roles in Nepal. Nepal has installed micro-hydro projects, solar power, improved cooking stoves, biogas technology, improved water mills, and wind energy to mitigate and adapt to climate change. There is a growing potential for renewable energy development in Nepal, such as hydropower, solar, wind energy, biogas, and improved cooking stoves. Roughly 70% of Nepal's energy consumption is generated from traditional energy sources while renewable energy accounts for approximately three percent. The gradual increase in the use of renewable energy has reduced greenhouse gas emissions and enhanced carbon sequestration. By adopting renewable energy technologies, Nepal has reduced emissions by 221,129 tCO 2 e from 2017 to 2018. Nepal's second Nationally Determined Contribution targets a 15% increase in national energy use from renewables with a reduction of 23% of CO 2 emissions by 2030 using biogas and improved cooking systems. Furthermore, a significant increase in the adoption of renewable energy has become a pivotal strategy in adaptation to climate change in social, health, and economic sectors resulting in time savings, alternative income sources, improved health and educational status, local job opportunities, and the promotion of social capital. The benefits of adapting to climate change and mitigating CO 2 emissions via renewable energy are significant at the local, national, and international levels. This study recommends that the government of Nepal focus work on energy policy reviews to address local energy demand and climate change issues by utilizing renewable energy resources at the local level, which has global implications. • Suitable, potential renewable energy technologies in Nepal. • The relationship between energy and climate change. • Relevant data on energy and climate change in tables and figures. • Social, economic, and environmental benefits of renewable energy. • Climate change adaptation and mitigation via renewable energy. [ABSTRACT FROM AUTHOR]

The role of low-carbon energy and trade on the environment has drawn several studies that have looked at issues from different perspectives, thus yielding differing conclusions. Considering the current emphasis on the COP25 conference and the commitment to cut down carbon emissions level, this study also draws strength from the United Nations Sustainable development Goals (UNSDGs) that comprises of positive strides for access to clean and responsible energy consumption (SDGs 7, 12) and climate change mitigation issues (SDG-13). To this end, this study is a timely outlook that underpins the case of the European Union (EU) countries as well as the root cause of anthropogenic activities on clean trajectory of global environment. Hence, we investigate the connection between alternative and sustainable energy source, trade, income and emissions in 27 selected European Union economies by utilizing data covering the period 1990–2017 on an annual frequency. We used second-generation panel model estimators to analyze the relationship between the variables in the long-run. Specifically, the long run results from the MG (Mean Group), AMG (Augmented Mean Group), and CCEMG (Common Correlated Effects Mean Group) estimators reveal that sustainable and alternative energy sources have a negative significant impact on pollutant emissions while trade and income have a positive impact on carbon emissions except that the impact of trade is insignificant. Although the positive impact of openness in trade on carbon emission is insignificant, the positive impact suggests that the free-trade policy that is currently in place in the EU should further incorporate sustainable development goals (SDGs) to avoid the outsourcing of carbon emissions among the member countries. Causality tests reveal a feedback hypothesis between renewable energy, income, trade, and carbon emanations. The investigation proposes expanded utilization of sustainable power source to mitigate carbon emissions in the European Union. • Outlook of EU-27 alternative energy and regional trade. • The panel techniques of common correlated effect is employed. • Alternative energy utilization in the regional bloc aids. • Regional trade policy in the EU could posit environmental hardship. • Real income growth in the region hampers environmental sustainability. [ABSTRACT FROM AUTHOR]

This paper investigates the energy system of the Basilicata region (southern Italy) to highlight, through a scenario analysis, its possible future development in compliance with the European Commission's long-term vision. The IEA-ETSAP methodology was utilized to model and analyse the Basilicata energy system in a business- as -usual scenario, based on the assumptions of the 2010 Regional Energy and Environmental Policy Plan, and in two low-carbon scenarios, decarbonisation and high energy efficiency, which, in line with the long-term European strategy, foresee an 85% carbon dioxide emission reduction and a 20% energy efficiency increase in 2050. The results highlight that electricity production from renewable energy sources (in particular wind energy), strongly supported by the regional policy, goes beyond the Basilicata Regional Energy-Environmental Plan forecast, with a further increase in the decarbonisation scenarios. In addition, solar thermal and highly efficient technologies are adopted in commercial and residential end-use sectors. An additional 9% reduction in energy consumption is achieved in the high energy efficiency scenario by passive houses. The proposed approach shows the usefulness of a modelling framework typically used for national and supranational analyses to support regional authorities in their decision-making process to obtain results in line with the European and national strategies. Application to the Basilicata region shows the usefulness of a consolidated framework for policy assessment at a local scale to assess regional contribution to the achievement of national climate mitigation targets that tend towards climate neutrality. • The role of regional authorities is essential to reach national decarbonisation goals. • TIMES can be advantageously used for regional energy system modelling and analysis. • Scenario analysis can be a powerful tool for policy evaluation. • A cap on carbon dioxide emissions leads to a 28% increase of electricity production. • Passive houses in Residential allow a further 5% reduction of energy consumption. [ABSTRACT FROM AUTHOR]

In the quest towards a cleaner environment via the mitigation of climate change and its impact, this study examined the validity of the environmental Kuznets curve (EKC) hypothesis, energy efficiency and energy consumption indicators in Kenya. The study employed an autoregressive distributed lag technique, statistically inspired modification of partial least squares regression and Utest method to analyze four models with data spanning 1971 to 2013. Both the autoregressive distributed lag model and the Utest estimation confirmed an inverted u-shaped curve, thus, validating the environmental Kuznets curve hypothesis in Kenya. The study revealed that an increase in energy consumption exacerbates carbon dioxide emissions in the long-run. The statistically inspired modification of partial least squares regression revealed that electricity from renewable energy sources plays a critical role in carbon dioxide emission reduction. An increase in GDP per capita and household consumption expenditure increases energy consumption. Energy imports had no long-run effect due to the recent oil discovery, coal, prospects of nuclear energy and the potential for more renewable energy sources in Kenya. The study highlights that using sustainable technologies like, inter alia, carbon capture and storage in the exploitation of oil and coal are essential to reducing pollution. Rural-urban migration increases the burden on electric power consumption, thus, reducing energy efficiency if conservation options are not enforced. As a policy implication, engaging the public on energy conservation and management options will help curb energy challenges like load shedding — which appears troubling in Africa. • The study examines the validity of the EKC hypothesis in Kenya. • ARDL, SIMPLS regression and Utest methods are used in the study. • ARDL model and the Utest estimation confirms an inverted u-shaped curve in Kenya. • Energy consumption exacerbate CO 2 emissions by 3.6% in the long-run. • Renewable energy consumption negates CO 2 emissions. [ABSTRACT FROM AUTHOR]