Renewable Energy Sector Research Articles

Design, analysis, and implementation of a phase‐shift controlled cascaded H‐bridge and anti‐interleaved zeta converter‐based E‐bike battery charging circuitry

AbstractThe rapid extinction of the fossil fuels across the globe has led to the technological advancements in the field of renewable energy sector and the electric vehicular technology. In order to match the paradigm shift in the energy sector and the technology, the battery charging circuitry of electric vehicle (EV) led to the revolutionary changes in the field of power electronics. Accordingly, various conventional topologies of DC‐DC converters were evolved. But there are a few drawbacks such as bulkiness, nonmultiple ports, and less control over the output current ripple. This work proposes a DC‐DC converter which is a hybrid combination of the full‐bridge converter and the zeta converter. The current and the voltage reversals at the high‐frequency transformer (HFT) terminals are made steady by anti‐interleaving the zeta converters on the secondary side. The control pulses of the full‐bridge converter are phase‐shifted to have the tight grip over the output. The modes of operation of the proposed DC‐DC converter has have presented. The calculation of the energy, current, and the voltage for the active and the passive components of the proposed converter has been provided. The proposed system is simulated, and the plots of the voltages and currents of different components of the converter are presented. The converter prototype has been developed to charge a 36 V lithium‐ion battery, and the effect of the phase shift on input current can be seen from the exhaustive results. The comparison of the calculated and simulated currents and voltages has been graphically illustrated. The proposed converter provides a novel converter topology which includes better output control with phase shift and reduced size of memory elements due to high‐frequency switching.

Predicting suitable habitats for foraging and migration in Eastern Indian Ocean pygmy blue whales from satellite tracking data

BackgroundAccurate predictions of animal occurrence in time and space are crucial for informing and implementing science-based management strategies for threatened species.MethodsWe compiled known, available satellite tracking data for pygmy blue whales in the Eastern Indian Ocean (n = 38), applied movement models to define low (foraging and reproduction) and high (migratory) move persistence underlying location estimates and matched these with environmental data. We then used machine learning models to identify the relationship between whale occurrence and environment, and predict foraging and migration habitat suitability in Australia and Southeast Asia.ResultsOur model predictions were validated by producing spatially varying accuracy metrics. We identified the shelf off the Bonney Coast, Great Australian Bight, and southern Western Australia as well as the slope off the Western Australian coast as suitable habitat for migration, with predicted foraging/reproduction suitable habitat in Southeast Asia region occurring on slope and in deep ocean waters. Suitable foraging habitat occurred primarily on slope and shelf break throughout most of Australia, with use of the continental shelf also occurring, predominanly in South West and Southern Australia. Depth of the water column (bathymetry) was consistently a top predictor of suitable habitat for most regions, however, dynamic environmental variables (sea surface temperature, surface height anomaly) influenced the probability of whale occurrence.ConclusionsOur results indicate suitable habitat is related to dynamic, localised oceanic processes that may occur at fine temporal scales or seasonally. An increase in the sample size of tagged whales is required to move towards developing more dynamic distribution models at seasonal and monthly temporal scales. Our validation metrics also indicated areas where further data collection is needed to improve model accuracy. This is of particular importance for pygmy blue whale management, since threats (e.g., shipping, underwater noise and artificial structures) from the offshore energy and shipping industries will persist or may increase with the onset of an offshore renewable energy sector in Australia.

Dimensionality reduction analysis of the renewable energy sector in Azerbaijan: nonparametric analyses of large datasets

Although the number of econometric analyses related to the renewable energy sector in Azerbaijan is increasing, studies on nonparametric dimensionality reduction are rather sparse. Principal component analysis (PCA) and multiple correspondence analysis (MCA) were chosen to fill this apparent research gap. As a result, a large dataset including the renewable energy sector and selected key macroeconomic indicators was evaluated. The PCA procedure yielded four distinct principle components reflecting the main macroeconomic variables, renewable energy production, industry-energy relations and natural resource revenues. The PCA method offers the possibility to examine the precise correlations and the underlying patterns between the displayed clusters of variables. Meanwhile, the MCA-based cross-country assessment of Azerbaijan’s wind, solar and hydropower has struck somewhat pessimistic notes, as the country lags behind neighbouring and other post-Soviet countries (e.g. Estonia, Iran, Latvia, Russia) in developing its green energy sector. These findings are of great interest to policymakers, businesses and academics who wish to gain deep insight into the Azerbaijani economy in terms of renewable energy production. The practical value of the present work also lies in the fact that it analyses a multidimensional and relatively longitudinal dataset (1990–2022), which is an example of a methodological application of two nonparametric approaches.

Efficiency of Renewable Energy Sources in Reducing Carbon Footprint in Developing Countries

Purpose: The aim of the study was to examine efficiency of renewable energy sources in reducing carbon footprint in developing countries Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study demonstrated the effectiveness of various renewable energy technologies, such as solar photovoltaic systems, wind power, biogas technology, and hydropower, in mitigating carbon emissions and promoting sustainable development. These technologies offer reliable, environmentally friendly alternatives to fossil fuels, contributing to enhanced energy access, reduced reliance on traditional biomass fuels, and positive socio-economic impacts. However, realizing the full potential of renewable energy requires addressing barriers such as upfront costs, financing constraints, and technical capacity limitations. Policy interventions play a crucial role in scaling up renewable energy deployment through targeted incentives, regulatory frameworks, and capacity-building initiatives. Unique Contribution to Theory, Practice and Policy: Technology Adoption Theory, Environmental Policy Theory & Energy Transition Theory may be used to anchor future studies on efficiency of renewable energy sources in reducing carbon footprint in developing countries. Implement practical measures to facilitate technology transfer and capacity building in renewable energy sectors. This involves partnerships between developed and developing countries to share knowledge, expertise, and resources for deploying and maintaining renewable energy infrastructure. Establish supportive regulatory frameworks that streamline permitting processes, ensure grid integration, and provide market access for renewable energy producers. Clear and consistent regulations create an enabling environment for renewable energy investments and facilitate the transition to low-carbon energy systems.

Fintech: A Conduit for sustainability and renewable energy? Evidence from R2 connectedness analysis

This study explores the evolving relationship between financial technologies (Fintech), sustainability initiatives, and the renewable energy sector. We utilize a novel R2 decomposed connectedness methodology, a significant leap from traditional analyses that mainly focus on the immediate effects, thereby missing out on the nuanced, delayed interactions that develop over time. This approach enables us to encompass both contemporaneous and lagged spillover effects, making it especially apt to examine this intricate system's dynamic interconnections. Covering the period from November 30, 2016, to November 14, 2023—marked by rapid technological advancements and an increasing global focus on sustainability—we uncover the Renewable Energy Efficiency Index's critical influence in driving fluctuations within this network. This finding is crucial amidst the current global shift towards sustainable energy practices and the vital role of technology in this transition. We note significant changes in how Fintech, sustainability, and renewable energy sectors interact over time, often in response to major global events. This observation indicates a particular vulnerability to external disturbances while presenting opportunities for strategic adaptability and creativity when confronted with these obstacles. Our research provides critical insights for readers interested in these interactions' economic and policy ramifications. For instance, the central importance of the Renewable Energy Efficiency Index emerges as a practical indicator for stakeholders aiming to steer their strategies towards more sustainable outcomes. Additionally, the variations in sector connectivity underscore the necessity for adaptable strategies amidst global uncertainties and pave the way for future investigations into the causes behind these shifts. By offering concrete recommendations, this study equips policymakers, investors, and industry leaders with the knowledge to harness the synergies between Fintech, sustainability, and renewable energy.

Quantum fuzzy decision-making for analyzing the service progress life cycle of renewable energy innovation investments

Innovative and effective solutions can be produced by using advanced technologies to increase renewable energy innovation investments. However, many actions taken to increase these investments may cause the costs of enterprises to reach an unmanageable level. As a result, a priority analysis is needed to identify the most critical issues, but in literature, there are limited studies in the literature regarding this issue. Accordingly, the purpose of this study is to evaluate the service progress life cycle of renewable energy innovation investments. A novel model is presented in this process while integrating different approaches. First, the service progress life cycle of renewable innovation investments is weighted. In this scope, two-generation technology S-curve and facial action coding system-based Quantum Spherical fuzzy M-SWARA are considered. Secondly, the renewable innovation investment alternatives are ranked. In this framework, the integer patterns and facial action coding system-based Quantum Spherical fuzzy TOPSIS are taken into consideration. Additionally, these investment alternatives are also ranked by using VIKOR technique to test the validity of the proposed model results. Moreover, a sensitivity analysis is conducted by considering 8 different cases so that coherency of the results can be tested. The main contribution of this manuscript is the consideration of the FACS system to increase both the originality and effectiveness of the proposed model and the development of new technique named M-SWARA. Additionally, conducting a priority evaluation helps to identify the efficient investment strategies to increase renewable energy innovation. It is defined that the same findings can be achieved by both TOPSIS and VIKOR techniques. Furthermore, sensitivity analysis also indicates the same rankings as well. It is understood that the proposed model provides coherent and reliable findings. The findings denote that maturity is the most critical stage of the service progress life cycle of the renewable energy investments. Moreover, advanced technologies are found as the best alternative of the renewable innovation investments for the service progress life cycle. Hence, it is recommended that R&D activities should be prioritized for the provision of advanced technologies in the renewable energy sector. For this purpose, research centers, universities, private sector companies and government institutions can work for the development of innovative and advanced technologies.

Enhancing Power Output of Ducted Wind Turbines through Flow Control

This study focuses on the performance enhancement of a ducted small-scale National Renewable Energy Laboratory (NREL) Phase VI wind turbine, utilizing a Wind Lens diffuser. The investigation is conducted at the critical cut-in wind speed of 5 m/s. The research evaluates the integration of passive flow control devices, including Vortex Generators, Microtab, and Slot, strategically positioned across the Wind Lens to augment the mass flow through the rotor. The results indicate significant amplifications in the turbine output of up to 127%, attributable to airflow manipulation across the diffuser, resulting in increased torque and power output. The study highlights the effectiveness of employed flow control devices in managing turbulence and/or flow separation, thereby enhancing aerodynamics, particularly under low wind conditions. A comprehensive analysis of various parameters such as pressure and flow fields, turbulence, and other relevant metrics is conducted to ascertain their collective influence on rotor aerodynamics. The results demonstrate the potential of these passive flow control devices in advancing small-scale wind turbine technology, especially in regions with low wind potential. Moreover, the design simplicity and cost-effectiveness of these passive flow control devices suggest wider applicability in the renewable energy sector, contributing to the reduction of carbon-intensive energy reliance.

Assessing risks for the use of drones for wind turbine inspections

This paper presents a comprehensive risk assessment framework for integrating drones into wind turbine inspections, addressing technical, operational, human factors, environmental, and regulatory risks. Utilizing a multidimensional approach based on Failure Modes Effects and Criticality Analysis (FMECA), the study evaluates potential risks in drone-assisted wind turbine inspections, considering various factors like communication reliability, sensor functionality, battery performance, and environmental impacts. The research emphasizes the importance of systematic risk identification, evaluation, and prioritization in enhancing the safety and reliability of drone operations in the renewable energy sector. The framework’s practical application is demonstrated through a case study involving real-world offshore wind farms, engaging industry experts and employing structured data collection methods. The study identifies, assesses, and offers mitigation strategies for critical risks, underlining the significant potential of drones in optimizing maintenance processes and advancing sustainable energy production. Future research directions include refining risk assessment methodologies, advancing drone technology, and fostering international collaboration for broader adoption of drone-based inspections in renewable energy.

Multiphysics modeling and optimization of an innovative shape memory alloy-polymer active composite

Shape memory alloys (SMAs) are a unique class of smart materials capable of recovering significant deformations through temperature variations, making them attractive for adaptive structures and morphing applications. However, integrating SMAs into polymer composites poses significant challenges, such as interfacial delamination and matrix overheating during thermal activation, in addition predicting the stress acting on the SMA during the actuation is pivotal. Addressing these issues is crucial for realizing the full potential of SMA-based active composites in aerospace, automotive, and renewable energy sectors. This study presents a novel multi-material design strategy for SMA-polymer active composites, featuring a rigid PC/ABS layer for mechanical integrity, a soft high-temperature silicone coating for encapsulating SMA wires, and aluminum terminals for wire crimping. A comprehensive multiphysics FEM model was developed to accurately capture the coupled thermo-mechanical response. Extensive experimental characterization and validation were conducted, followed by systematic parametric studies to investigate the effects of critical design parameters on key performance metrics. The developed prototype exhibited remarkable shape morphing capabilities, with a maximum tip deflection of 68 mm (deflection-to-length ratio of 0.4). Excellent agreement between experiments and simulations was achieved, with a maximum error of 1.7 % in tip deflection, validating the accuracy of the multiphysics model. Parametric analyses quantified the trade-offs between geometric parameters, revealing their influence on activation temperature, deflection, SMA wire stress, and fatigue life. Optimal configurations enabling low activation temperatures (<150 °C), low stress levels (<400 MPa), and high predicted fatigue life (>50,000 cycles) were identified. The multi-material design approach effectively addressed common issues in SMA-polymer composites, enabling reliable actuation cycles without damage accumulation. The validated multiphysics model and parametric insights provide a comprehensive framework for optimizing the design and performance of SMA-polymer active composites, paving the way for their widespread adoption in shape morphing applications. Potential implications include the development of adaptive aerodynamic surfaces, deployable structures, and energy-efficient systems across various industries.

A review of asset management using artificial intelligence‐based machine learning models: Applications for the electric power and energy system

AbstractPower system protection and asset management present persistent technical challenges, particularly in the context of the smart grid and renewable energy sectors. This paper aims to address these challenges by providing a comprehensive assessment of machine learning applications for effective asset management in power systems. The study focuses on the increasing demand for energy production while maintaining environmental sustainability and efficiency. By harnessing the power of modern technologies such as artificial intelligence (AI), machine learning (ML), and deep learning (DL), this research explores how ML techniques can be leveraged as powerful tools for the power industry. By showcasing practical applications and success stories, this paper demonstrates the growing acceptance of machine learning as a significant technology for current and future business needs in the power sector. Additionally, the study examines the barriers and difficulties of large‐scale ML deployment in practical settings while exploring potential opportunities for these tactics. Through this overview, insights into the transformative potential of ML in shaping the future of power system asset management are provided.

Guarantees of electricity origin as a financial mechanism to increase investment attractiveness in the energy sector

In modern environment, ensuring the development of the renewable energy sector is significant for achieving the country’s sustainable development goals. The introduction of a mechanism for guaranteeing the origin of electricity is one of the most effective ways to develop renewable energy, and therefore its study is relevant. The purpose of this study was to analyse the approaches to the functioning of the market of guarantees of electricity origin in the EU countries and compare them with the situation in Ukraine. The principal methods of the study were forecasting (prospects for the implementation of energy origin guarantees in Ukraine) and comparison (approaches to the formation of the mechanism of energy origin guarantees in Ukraine and the EU). The study noted the overall role of renewable energy for the development of any country and Ukraine specifically. All the main positive components that arise in countries in the development of this area were described in detail. The instrument of guarantees of energy origin stays effective for achieving the goals of renewable energy development in Ukraine. Considering the specific features of the rules for selling renewable energy guarantees, the study concluded that they are useful both for stimulating the development of the sector and for disseminating information about the need to improve the state of the renewable energy sector in Ukraine and globally. The study assessed what steps has Ukraine taken to adopt and implement this mechanism. Information on EU countries was also examined. The gradual increase in demand for such instruments every year since 2019 indicates not only the popularity of this practice, but also its need among all market players. It was shown that, after the start of Russia’s full-scale invasion of Ukraine, the foreign trade balance turned negative, i.e., the volume of electricity purchases exceeded the volume of sales. The findings of this study can be used to formulate a long-term strategy for the development of a mechanism for guaranteeing the origin of electricity in Ukraine by public authorities

ECONOMIC AND SOCIAL BENEFITS OF ROBOTICS IN SOLAR AND BIOMASS ENERGY: A REVIEW WITH IMPLICATIONS FOR BIHAR

Robotics integration in the renewable energy sectors of solar and biomass energy can change energy production, improve efficiency, and introduce sustainability practices. This review paper will address some of the economic and social benefits of robotics in such energy domains, specifically for the state of Bihar in India, where substantial challenges in the production of energy are present. To initiate, the paper will discuss the situation of solar and biomass energy in Bihar: where this state is still poor concerning the provision of electricity, which indicates the amount of dependency that the state has with the conventional energy, and thus how urgent the need is for alternative sustainable sources. We then analyze the appraisal of how robotics can maximize energy production through automation, precision agriculture, and predictive maintenance-cutting operational costs and therefore maximizing energy output. The paper discusses various robotic applications such as automated solar panel cleaning systems and biomass processing robots, about which emphasis was placed for improving productivity and operational efficiency. We also take into account the socio-economic impacts of introducing robotics into these energy sectors. Improved access to energy, through more efficient modes of production, holds the promise of lifting local economic performance and providing employment opportunities and reducing energy poverty. However, the paper also addresses some of the possible challenges, such as some displacement of jobs and hence the need for upgradation in skills in response to new technologies. To put this into perspective, the literature synthesis and case studies are reviewed below to give an overview of successful implementations of robotics in renewable energy globally. We further discuss policy recommendations and strategies that must be integrated into Bihar's energy framework to support sustainable development goals and address regional energy demands. Hence, in conclusion, the strategic deployment of robotics in solar and biomass energy does not merely serve to provide significant economic advantage but also contributes to social development of Bihar to ensure a viable and sustainable future of the energy world.

Renewable energy expansion: Legal strategies for overcoming regulatory barriers and promoting innovation

The expansion of renewable energy sources is pivotal in mitigating climate change and transitioning towards a sustainable energy future. However, the realization of this transition faces numerous regulatory barriers that impede the deployment and integration of renewable energy technologies. This abstract explores the legal strategies essential for overcoming these barriers and promoting innovation in renewable energy expansion. Regulatory hurdles often stem from outdated policies, complex permitting processes, and conflicting regulations at various governmental levels. Moreover, legal uncertainties surrounding property rights, land use, and interconnection standards pose significant challenges to renewable energy developers and investors. To address these barriers, legal frameworks must evolve to accommodate the unique characteristics and requirements of renewable energy projects. Effective legal strategies encompass a range of interventions, including streamlining permitting procedures, harmonizing regulations across jurisdictions, and providing clarity on legal and contractual frameworks. Furthermore, innovative policy mechanisms such as feed-in tariffs, renewable portfolio standards, and tax incentives can incentivize renewable energy deployment while ensuring regulatory compliance. Promoting innovation in renewable energy expansion requires a proactive approach to legal and regulatory reform. This involves fostering collaboration between policymakers, industry stakeholders, and legal experts to identify regulatory bottlenecks and develop tailored solutions. Additionally, flexible regulatory frameworks that allow for experimentation and adaptation to technological advancements are essential for driving innovation in the renewable energy sector. Case studies from various jurisdictions illustrate successful legal strategies employed to overcome regulatory barriers and promote innovation in renewable energy expansion. These examples highlight the importance of proactive policy interventions, stakeholder engagement, and adaptive governance structures in facilitating the transition to a renewable energy economy. In conclusion, overcoming regulatory barriers and promoting innovation in renewable energy expansion requires a multifaceted approach that combines legal, policy, and technological solutions. By adopting proactive legal strategies, policymakers can create an enabling environment that fosters renewable energy deployment, accelerates innovation, and advances the transition towards a sustainable energy future.

Prospects and Challenges of Renewable Energy in Ethiopia With Special Focus on Trends and Practices

This study aimed to explore the prospects and challenges of Renewable Energy in Ethiopia with a special focus on trends and practices. The study was conducted using a qualitative approach to understand the underlying problems of the topic holistically. The targets of the study included the Ministry of Water and Energy, the Ethiopian Energy Authority, the Ethiopia Water Technology Institute, and Ethiopian Solar Development Associations, which are responsible for leading the Renewable Energy sector of the country. A purposive sampling technique was used to collect data from sample respondents with rich experiences and exposure to Ethiopia's renewable energy sector's practices and trends through an in-depth interview, Focus Group Discussions (FGD), and document analysis of Renewable energy policy and strategy and Energy policy documents. The data were analyzed using thematic approaches. The findings revealed that Renewable Energy in Ethiopia has suffered from a lack of infrastructure and investment in renewable energy projects, technical and financial constraints in developing renewable energy technologies, regulatory and policy barriers, limited access to financing, and Intermittent nature of some renewable energy sources and challenges for grid integration and stability. Lack of strong and committed leadership is also a core problem in supporting the sector. Based on these findings, the researcher suggested that the leadership on renewable energy in Ethiopia needs to be characterized by a commitment to policy and regulatory framework implementations that support the sector's sustainable development. By formulating clear and supportive policies, the government seeks to create an enabling environment for renewable energy deployment, attract investment, and ensure the long-term viability of renewable energy projects. Overall, in alignment with the government's commitment to advance renewable energy concerning the country's broader development objectives and underscoring the transformative potential of clean energy in driving Ethiopia's sustainable growth and prosperity; the country’s leadership perspective on renewable energy needs to reflect a comprehensive and multifaceted approach that encompasses energy access, environmental sustainability, economic development, technological innovation, regional cooperation, affordability, and policy support.

The European Renewable Energy Sector in Calm and Turmoil Periods: The Key Role of Sovereign Risk

The European Renewable Energy Sector in Calm and Turmoil Periods: The Key Role of Sovereign Risk

Analytic Hierarchy Process Assessment Framework for Blockchain in Renewable Energy

The urgency to reach net-zero emissions until 2050 has created a vast interest in innovative technologies for renewable energy sector. At the same time the need for trusty and unfailing solutions will rise considering the increasing amount of decentralized and decarbonized energy systems. It has previously been described in the literature that the aforementioned characteristics could be combined by blockchain technology. Therefore, this study focuses on the practical side – the opinion of industry experts about the use of blockchain technology in renewable energy. By using analytic hierarchy process analysis, the goal of this study is to develop a methodology for the selection of the most appropriate blockchain applications in renewable energy and to identify and evaluate the possible types of use taking into account socio-economic, political and legal, technological and environmental factors. The results of this study highlights the important influence of political, legal and technological factors like involvement of government institutions and possible attacks to the system, but considers the economic factors as the least significant for the introduction and use of blockchain technology in the renewable energy sector. The most promising use cases for blockchain would be associated with reliable and immutable certificates of origin for renewable energy and use in smart grid (including smart metering), smart homes and relevant Internet of Things applications. The use of crypto-assets and initial coin offerings for renewable energy development should be viewed with precaution and willingness to inform and educate considering social factors like public opinion and societies’ knowledge on crypto-assets.

End-Of-Life Management of Photovoltaic Panels: A Model for Forecasting and Economic Evaluation

The global surge in photovoltaic (PV) panel deployment since the 2000s has contributed to advancing the renewable energy sector. However, this proliferation raises concerns about the increasing number of PV modules that will end their operational life in the coming years, necessitating effective planning for their decommissioning and recovery. This paper addresses this imminent challenge by presenting a predictive model to estimate the volume of decommissioned modules from existing installations. To take into account the variability associated with the operational life duration of PV panels, three distinct scenarios were considered: early loss, regular loss (both modelled through the Weibull function) and fixed loss. Furthermore, the article introduces a methodology for the economic valorisation of materials recovered from decommissioned PV modules, according to the different technologies employed. This approach encourages sustainable practices by assigning an economic value to recovered materials, promoting a circular economy in the renewable energy sector. The economic valuation methodology adds practicality to dismantling, emphasising responsible waste management's potential economic benefits. In order to illustrate the applicability of the model, the study focuses on the Italian case, providing a detailed regional breakdown. The regional analysis not only improves the accuracy of the predictive model but also offers insights into localised PV module disposal patterns. By adapting the model to the individual Italian regions, the article serves as a concrete and valuable resource during the programming and planning phases, facilitating the implementation of a strategy to efficiently recover PV modules and consequently minimising the environmental impact associated with decommissioning activities.

Assessing the Feasibility of Climate Policies of Japan, Latvia and Lithuania to Reach the Targets of the Paris Agreement

The study compares the most recent developments in energy policies of Japan, Lithuania and Latvia as a way to mitigate climate change. Latvia, Lithuania and Japan have all pledged to reach net zero by 2050 but face significant challenges, namely the dependence on energy imports in the form of fossil fuels, as they keep dominating the final energy supply. All three countries have a goal to sharply reduce this dependence, with Lithuania and Latvia even striving to become net energy exporters by focusing almost entirely on renewable energy. Japan, on the other hand, also aim to boost a renewable energy share, yet focuses more on the diversification of imported energy sources. The study attempts to discuss the differing approaches in climate change mitigation in Japan as compared to Latvia and Lithuania. The ambition of each country is estimated by Intended Nationally Determined Contributions (INDCs), the roadmap to reduce the emissions in different sectors as enshrined in the climate strategy of each country, and the penetration of the renewable energy sector, estimating the scope of the ambition and implementation gaps compared to the goals set by the Paris Agreement. The study also estimates the impact of external impacts, namely the COVID-19 pandemic and the Russian invasion of Ukraine in shaping climate change policies. Therefore, this study offers a comprehensive outlook on what needs to be achieved so that all three countries could be role models to follow in the climate policy. All three countries could collaborate on solar power, off-shore wind power, and hydrogen technologies. There have already been joint projects between Japan and the EU on advanced biofuels and the new generation of concentrator photovoltaics. However, there are significant differences regarding the role of ammonia and hydrogen production in the Climate change policy strategies of the three countries. Some contributing sectors are left behind and the current climate change strategies, even if properly implemented, may not be 2°C-compatible, let alone 1.5°C-compatible. The policies look even direr for a fair share target, and the implementation gap generally remains wide for the 2024-2030 period.

EXAMINING THE DETERMINANTS OF RENEWABLE ENERGY PRODUCTION IN ASEAN COUNTRIES

This study investigates the determinants of renewable energy production in ASEAN countries, focusing on the factors influencing the transition to sustainable energy sources in the region. By utilizing the panel data from 2000 to 2020 with Pooled OLS, Random Effect model and Fixed Effect model, the research explores the explainatories of renewable energy production in ASEAN. The findings reveal that renewable energy consumption, economic growth and FDI have a positive and significant relationship with renewable energy production, while trade openness and urbanization have significant association with REP. It suggests the importance of suitable policy design to support renewable energy production in ASEAN, emphasizing the role of government-backed energy policies. Overall, this research contributes valuable insights for policymakers and stakeholders in the renewable energy sector, offering guidance for promoting sustainable energy practices and addressing climate change challenges in ASEAN countries.

Assessing the impact of fiscal decentralization, green finance and green technology innovation on renewable energy use in European Union countries: What is the moderating role of political risk?

Renewable energy use plays a substantial role in sustaining environmental quality. Therefore, there is a need to make substantial efforts to advance the renewable energy sector and to provide affordable, clean, and reliable energy to attain sustainable goals. With this notion, the present study aims to assess the definitive roles of green technology innovation (GTI), green finance, fiscal decentralization, political risk, and environmental regulations in fostering renewable energy use while controlling for the effects of industrial structure and economic growth for ten selected European Union (EU) nations spanning from 2000 to 2020. The study's findings reveal that while GTI, green finance, and fiscal decentralization foster renewable energy use, political risk impedes renewable energy use in EU nations. Notably, this study advises EU nations to persuade the integration of local and federal governments for the devolution of fiscal powers and ensure a stable political environment to promote green innovation and investments in the renewable energy sector to realize sustainable goals.