Green Energy Innovation Research Articles

Green energy and rooftop innovation: Unlocking the carbon reduction potential of photovoltaic-green roofs

As urbanization progresses rapidly, cities encounter significant environmental and energy challenges. Photovoltaic-Green Roof (PV-GR) technology offers an innovative strategy with the potential to alleviate urban carbon emissions and resource scarcity issues. However, the carbon reduction potential of PV-GR technology remains unclear. Hence, this study aims to comprehensively assess the carbon reduction potential of PV-GR. This is achieved by integrating Geographic Information Systems (GIS), lifecycle assessment, the Denitrification-Decomposition Model (DNDC), and solar simulation. Using Fuzhou City as a case study, the research indicates: (1) Fuzhou has approximately 72.9 km2 of rooftops suitable for PV-GR development, with an annual biomass production from herbaceous plants estimated at around 2.958 × 107 kg. The annual electricity production under the baseline scenario reaches 9,678 GWh, satisfying about 17 % of Fuzhou’s annual electricity demand. Moreover, in an optimistic scenario, electricity generation rises to 10,176 GWh, and even in a pessimistic scenario, it could achieve 9,471 GWh. (2) In the baseline scenario, Fuzhou’s PV-GR annual carbon reduction is estimated at 6.678 × 106 t CO2, potentially offsetting about 11.14 % of the city’s annual carbon emissions. In an optimistic scenario, this reduction increases to 7.022 × 106 t CO2, and even in a pessimistic scenario, the reduction remains significant at 6.535 × 106 t CO2. (3) Over a 30-year lifecycle, the carbon emissions from PV-GR are projected to total 3.092 × 107 t CO2, accounting for 51.34 % of Fuzhou’s annual emissions. In an ideal baseline scenario, the net carbon reduction over the lifecycle of PV-GR could total 1.703×108 t CO2, effectively offsetting 282.76 % of Fuzhou’s annual carbon emissions. Additionally, scenario simulations suggest that by 2030, potential electricity generation from PV-GR could increase to between 10,463 GWh and 10,901 GWh, due to changes in power structure and urban expansion. Overall, this study demonstrates that PV-GR holds considerable potential for carbon reduction.

A step towards sustainable environment in OECD countries: Do natural resource depletion, resource tax, institutional quality, and green innovation matter?

AbstractProtecting and improving environmental quality is essential for sustainable development. This study considers natural resource depletion, resource tax, institutional quality, and green innovation, which are likely to impact environmental quality. These issues are addressed by Sustainable Development Goals (SDGs) 7, 12, and 18. The study aims to uncover the influence of the variables we have considered on environmental quality in a sample of 18 Organisation for Economic Co‐operation and Development (OECD) countries from 1994 to 2020. Before panel data analysis, we conducted preliminary tests to determine the most suitable techniques. The econometric procedure comprises four stages: unit root analysis, cointegration analysis, estimation of long‐run coefficients using two different methods, and panel causality analysis. The empirical findings suggest that resource tax and green energy innovation positively impact environmental quality for the panel in the long run. Results based on the country show that institutional quality has a negative impact on environmental quality in Portugal but a positive impact in Luxembourg. Although resource taxes positively impact environmental quality in Portugal, they harm Luxembourg. Lastly, natural resource depletion negatively impacts environmental quality in Luxembourg. There are no statistically significant results for other countries. The study concludes with policy recommendations.

Preface

With the continuous growth of energy demand and the increasing awareness of environmental protection in countries around the world, it is urgent and imperative to establish a green energy innovation research and development, as well as promotion and application system, and electricity will play a huge role in the development of green energy. Focusing on the latest research development and progress in energy and power, 2024 3rd International Conference on Green Energy and Power Systems (ICGEPS 2024) was held via hybrid form in Harbin, China from January 19th to 21st, 2024. ICGEPS 2024 was created to build a high-quality academic forum to exchange and share successful experiences of innovation in the fields of green energy and power systems, and establish an effective cooperation platform for researchers and scholars from universities, research institutes and enterprises all over the world. Focusing on such topics as Clean Energy Technology, Energy Storage Technology, Renewable Energy Development Technology, Power System Reliability and Security, Inverter and Converter Technology, Intelligent Systems and Methods, etc., this Conference invited scientists, engineers, practitioners and students worldwide to exchange their current technical application experience and research results, so as to promote the development of relevant fields and industries. The Conference took place for three days, among which day two could be deemed the most critical. First is keynote speech part performed by renown experts and next oral presentation mainly by young scholars. Poster presentation was also held for researchers to present their research achievements. Discussion and Question and Answer happened throughout the meeting. In the Conference, several professors acting as keynote speakers shared their research experiences and insights with us. The speakers include Prof. Dr. Mingfei Ban (Northeast Forestry University, China), Prof. Dr. Mohd Shakir Md Saat (Universiti Teknikal Malaysia Melaka, Malaysia), Prof. Dr. Zhongkai Yi (Harbin Institute of Technology, China), and Prof. Dr. M. Prabhakar (Vellore Institute of Technology, Chennai, India). They analyzed the technical principles, operational characteristics, optimization methods, as well as challenges and solutions in practical applications of green energy and power systems from different perspectives. These studies not only bear theoretical depth, but also closely integrate with practical applications, which is of great significance for promoting the development of green energy and power systems. We would like to thank all the authors for their hard work and wonderful contributions, and all the experts and scholars for their attention and support to this Conference. We believe that with our joint efforts, research and application in the fields of green energy and power systems will achieve more remarkable results and make greater contributions to the cause of sustainable development of mankind. Finally, we look forward to meeting again in the next International Conference on Green Energy and Power Systems to discuss the future development path of green energy and power systems. The Committee of ICGEPS 2024 List of Committee Member is available in this pdf.

Green energy innovation initiatives for environmental sustainability: current state and future research directions.

Worldwide, all countries have been facing the crisis of climate change problem. They have been addressing this issue by focusing on implementing green energy innovation initiatives and promoting a sustainable future through environmental sustainability. In this research study, we focus on examining the role of green finance through green energy innovations, which are taking place in several sectors across different regions to promote environmental sustainability. The study has analysed 152 articles on this research domain through a systematic literature review to understand the present state of existing knowledge. The current study examines the Scopus-indexed research articles from the time period 2002 to 2023. Six emerging themes have been examined to understand their development and the potential impact of green initiatives for environmental sustainability. Various institutional theories have been explored to understand their association with the investigated research area. The paper has discussed multiple challenges that need to be addressed for the speedy implementation of green innovations. Finally, future research questions have been proposed based on the findings from the extant literature and the existing research gaps.

Breaking barriers to climate finance: Asymmetric nexus between green investment and energy innovation in Europe

Growing concerns regarding climate change and the necessity to shift towards a low-carbon economy have resulted in a significant rise in the worth of green finance for developing energy technology. This growing emphasis on green finance underscores the urgency for a nuanced exploration of the asymmetric nexus between green investment and energy innovation in Europe. The present article investigates the asymmetric relationship between green investment and energy innovation in the top ten European nations with the highest green investment (France, Netherlands, Germany, Italy, Spain, Denmark, Austria, Finland, the UK, and Sweden). Formerly, panel data methodologies were employed to observe the link between green investment and energy innovation despite the absence of an exclusive connection in certain economies. On the other hand, this study uses ‘Quantile-on-Quantile’ approach for econometric estimation using the annual data from 2007 to 2022. This unique methodology enables a detailed and specific analysis of time-series interdependence in every economy, providing valuable perceptions of the nuanced relationship between these variables. Investment in renewable energy is employed as a proxy for green investment, while energy-related patents represent energy innovation. The study employs a quantile cointegration test to assess the variables long-run relationship. The results indicate a positive correlation between green investment and energy innovation in many countries at certain data points. Additionally, the analysis demonstrates that the extent of asymmetry between these variables varies across countries, stressing policymakers' need to closely monitor fluctuations in green investment and energy innovation.

Can clean energy and technology address environmental sustainability in G7 under the pre-set of human development?

Climate change presents challenges for both industrialized and developing nations, primarily due to insufficient pollution control. Increased fossil fuel usage escalates pollution levels, emphasizing the need to integrate more renewable energy into the energy mix, particularly to reduce carbon emissions. Consequently, public investment in renewable energy becomes pivotal to enhance the necessary technology for green energy production. Human development and technological progress play a crucial role in advancing green energy and ensuring environmental sustainability. This study addresses whether clean energy and technology can foster ecological sustainability in the G7 while considering human development. Findings emphasize the significance of public investments in renewable energy projects, technical innovation, and human development. Such investments are essential for augmenting renewable energy shares and lowering carbon emissions in the long run. The study proposes relevant policies to help G7 nations achieve United Nations Sustainable Development Goals related to green energy transition (SDG-7), environmental sustainability (SDG-13), and innovation (SDG-9). In essence, prioritizing renewable energy investment and innovation is imperative for sustainable development.

Nexus of green energy innovation, governance quality, and CO2 emissions in natural resource sector: The role of sustainable human development

Majority of the literature suggest that the determination of natural resources as either a curse or a blessing cannot be solely based on their impact on economic and social development. This study investigates the relationship between sustainable human development, governance quality, green energy innovation, and CO2 emissions in oil and gas sector of China. The data from 2002 to 2022 was taken for the analysis. This study employed the novel dynamic autoregressive distributed lag (D-ARDL) method to examine long-term and short-term relationships. Our results of short-term analysis demonstrated that all the variables – institutional governance, sustainable human development renewable energy innovation, government stability and renewable energy consumption–have an influential role in reduce carbon emissions. The results of long run analysis reiterate findings of short run, highlighting the inverse relationship of the variables with carbon emissions. The t-statistic shows of such relationships are statistically significant in the long run. The findings of the study offer valuable insights and empirical evidence to reduce emissions using governance quality, sustainable human development, green energy innovation and renewable energy consumption in oil and gas sector of China. Our findings demonstrate that implementation of these strategies require long-term commitment and concerted efforts.

Intra-industry or spatial spillovers: Empirical study on the impact of digital finance on green energy innovation

As global climate change intensifies, programs to promote green energy innovation are becoming increasingly urgent for humanity. However, academic debate on whether to prioritize industrial or regional policies continues, detracting the focus from programmes to promote green energy innovation. Using data from 3456 listed companies in China in 2020, this study aims to test intra-industry and spatial spillovers to provide empirical evidence to resolve the academic debate and investigate the impact of urban digital finance on corporate green energy innovation to assess the effectiveness of urban policies. Results show that firms' green energy innovations have significant intra-industry spillovers, but no significant spatial spillovers. Moreover, urban digital finance contributes significantly to green energy innovation. The impact of urban digital finance on green energy innovation varies by a firm's nature, internal controls, and external audits. Therefore, this study proposes a multilevel ecosystem for green energy innovation that theoretically supports a comprehensive and systematic understanding of corporate green energy innovation and guidelines for the precise implementation of policy portfolios.

Heterogeneous impact of green energy innovation on energy transition in the G7 nations: an aggregated and disintegrated analysis through advanced quantile approach

ABSTRACT The G7 nations is a major global consumers of natural resources and energy. These nations are confronted with substantial obstacles in their pursuit of sustainable growth through energy transition, while upholding their status as global economic leaders. As a result, this current study conducted an aggregated and disintegrating analysis on the heterogeneous role of green energy innovation on energy transition in G7 nations. Green energy innovation was disintegrated into hydro, solar and wind energy. Moreover, the heterogeneous effects of green innovation in solar, hydro and wind on energy transition was investigated, an analysis that has not been previously examined. For the econometric estimation, we adopted the Quantile-on-Quantile Regression (QQR) and the quantile causality method. The results of the QQR indicates that the positive role of green energy innovation on energy transition in all of the G7 nations. However, this positive role is more dominant in five G7 nations, namely Italy, Germany, Japan, the UK and the USA. Additionally, the result also highlights that the connection between green energy innovation and energy transition is differs across the various quantiles for different nations. Moreover, the quantile causality analysis indicates that green energy innovation has the potential to predict future values in energy transition within the G7 nations. The study emphasizes various policy considerations for promoting energy transition through green energy innovation in G7 nation, which help realizing sustainable development.

Innovating for a greener future: The role of green bonds in advancing energy innovation

The rise of climate change concerns and the need to transition to a low-carbon economy has led to a surge in the issuance of green bonds and the development of energy innovation. This study explores the asymmetric green bonds-energy innovation nexus in the top ten nations that issue green bonds. Previously, panel data methods were used to obtain consistent outcomes regarding these variables despite the fact that several economies could not illustrate such a relation individually. However, this research adopts the “Quantile-on-Quantile” approach that can examine time-series dependence in every economy by offering detailed and country-specific characteristics. The outcomes revealed a positive linkage between green bonds and energy innovation in most nations at particular quantiles. Furthermore, the analysis indicates that the rank of asymmetries between the variables changes from economy to economy, punctuating the significance of policymakers monitoring modifications in green finance and energy innovation.

Green Energy and Technological Innovation Towards A Low-Carbon Economy in Bangladesh

This study aims to investigate the influences of green energy, technological innovation, economic growth, urbanization, and labor force, on the low-carbon economy in Bangladesh. Bangladesh was chosen for this study as the country in the sixth most vulnerable nation, and the results of climate change on the country's ecology and economy have been devastating. By using yearly data extending from 1990 to 2020, this research employed the autoregressive distributed lag (ARDL) technique to explore the connections between explained and explanatory factors across both the short and long term. The ARDL bounds test decisions pointed to a long-term connection between the variables. The empirical results revealed that a 1% increase in economic growth, urbanization, and labor force would lead to 1.09%, 1.14%, and 0.19% increase in carbon economy in the long run while 1.67%, 1.50%, and 0.29% increase in the short run, respectively. However, the findings indicated that a 1% boost in green energy utilization and technology innovation would result in a 0.21% and 0.18% decline in the carbon economy in the long run whereas 0.15% and 0.10% drop in the short run, respectively. The outcomes of the investigation demonstrated that economic growth, urbanization, and labor force all impact adversely accomplish the low-carbon economy, making green energy utilization and technological innovation the best crucial approaches to maintain environmental sustainability. The study's findings specify a policy structure for developing a thorough tactic to stimulate environmental sustainability in Bangladesh, with a focus on ecological innovation, green energy utilization, and controlled urbanization. This article put forward policy implications aimed at a low-carbon economy, promoting green energy use, financing technological advancement, sustainable urbanization, and educating the labor force, to achieve environmental sustainability and emission reduction in Bangladesh.

Exploring the roles of natural resources on sustainability blueprint in G7 countries amidst green energy, technological innovation, and carbon‐tax intervention

AbstractToday's global economy faces the most devastating challenges of global warming occasioned by overdependence on natural resources. Besides, the dilemma of choosing between economic benefits and environmental costs emanating from natural resources heightens the empirical relevance of green energy in recent times. To solve this developmental puzzle, the current study presents extends the knowledge frontier by evaluating the impacts of natural resource dependence, green energy (captured by biofuels and renewable energy), carbon tax, and technological innovation on environmental sustainability in G7 economies. The empirical model endogenizes environmental policy stringency and financial development from 1996 to 2019. The empirical verification anchors on second‐generation estimators entailing Cross‐Sectional Autoregressive Distributed Lag (CS‐ARDL), Common Correlated Effects Mean Group (CCEMG), augmented mean group (AMG), and novel Method of Moment Quantile Regression (MMQR). The fallouts from the analyses uncover that natural resource dependence militates against the attainment of the sustainability blueprint by escalating the surge in CO2 emissions in G7 countries. Similarly, the feedbacks from financial development support the surge in emissions. On the flip side, green energy, technological innovation, carbon tax, and environmental policy appear as effective tools for mitigating the surge. The Fully Modified Ordinary Least Square (FMOLS) estimator for the country‐specific analysis corroborates the panel findings. Additionally, two channels of causalities, including unidirectional and bidirectional nexuses, are apparent from the estimated model. Policy measures are suggested based on empirical findings.

Do coal efficiency, climate policy uncertainty and green energy consumption promote environmental sustainability in the United States? An application of novel wavelet tools

In 2020, the United States produced 4.7 billion metric tons of CO2, making it the world's second-largest polluter. To achieve the SDGs, the United States has committed to reducing net CO2 emissions by 50–52% from 2005 levels by 2030. Therefore, this study examines the co-movement between CO2 and coal efficiency, climate policy uncertainty, green energy, and green innovation using data from 1990 to 2020. To support policymakers in developing sustainable energy policies at various times, we used wavelet cohesion, wavelet correlation, wavelet coherence, and the novel causality in continuous wavelet transform to investigate these connections. The wavelet coherence and wavelet cohesion results revealed that coal efficiency contributes to reducing CO2 emissions at different frequencies and times, while climate policy uncertainty reduces CO2 emissions in the long term. Moreover, green energy consumption and green innovation improve ecological quality by reducing CO2 in the short and medium term. Furthermore, wavelet causality analysis revealed that all indicators could predict CO2 emissions at different frequencies and time periods. Based on the overall findings of this research, we recommend that policymakers in the United States support green energy and energy efficiency initiatives as the most effective ways to reduce CO2 and address other critical climate issues.

Evaluating barriers and strategies to green energy innovations for sustainable development: developing resilient energy systems

Achieving sustainable development and reducing climate change require a shift to green energy sources. Yet, switching to green energy sources necessitates substantial research and development, as well as regulatory and policy adjustments. Additionally, a number of obstacles are impeding the development of green energy innovation. This study identified several key barriers and sub-barriers that obstruct the development of green energy innovation. Thus, this study identified multiple strategies to overcome those barriers. Therefore, this study uses the fuzzy Analytical Hierarchy Process (AHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods to assess and rank the barriers and strategies to building resilient energy systems in China. First, the fuzzy AHP method identifies the four barriers and sixteen sub-barriers, while the fuzzy TOPSIS method classifies six strategies for the green energy innovation system in China. According to AHP results, funding and policy constraints are the most crucial barriers to green energy innovation. The fuzzy TOPSIS findings show that providing incentives for green energy investment and strengthening policy implementation and enforcement are the most significant strategies for overcoming the barriers to green energy projects.

Preface

Green energy refers to energy that can be directly used in production and life. It includes nuclear energy and renewable energy. With the continuous growth of energy demand and the increasing awareness of environmental protection in the countries around the world, it is urgent and imperative to establish a green energy innovation research and development, promotion and application system, and electricity will play a huge role in the development of green energy.2023 2nd International Conference on Green Energy and Power Systems (ICGEPS 2023) was held virtually under such a background in Changsha, China on January 6th to 8th, 2023. The aim of the symposium was to provide an opportunity for international experts, academics, researchers, practitioners and students working in the areas of green energy and power system to exchange information on the R&D and commercialization of green energy and power system. New developments, concepts, future research trends and potential commercialization areas were also discussed.The topics covered in the proceedings of ICGEPS 2023 are as follows: Power Systems and Its Automation, Measurement Technology and Instrumentation, Sensors and Micro Machines, Clean Energy Technology, Sustainable Coal Utilization and Clean Coal Technology, etc. Approximately 100 experts and scholars from almost 10 countries participated in the conference. The conference featured keynote speeches, oral presentations, and poster presentations.During the keynote speech part, three well-known professors delivered expertise lectures by imparting the latest findings from their respective research domains. Among them, Prof. Chong Kok Keong from Universiti Tunku Abdul Rahman, Malaysia addressed a keynote speech on Performance Analyses of Photovoltaic Module under Different Spectral Irradiances by Considering both Photonic and Electrical Characteristics. The solar spectral irradiance varies significantly for different locations and time due to latitude, humidity, cosine effect of incident sunlight, etc. To predict the actual performance of photovoltaic module under local climate conditions, he and his team proposed a methodology to compute the power-conversion efficiency of organic photovoltaic cells based upon indoor measurement with a solar simulator, the measured local solar spectrum, and making use of both optical and electrical factors. It was a wonderful opportunity for all the participants to interact with the experts and specialists to get their advice or suggestions.We would like to express our gratitude to all the participants for their presentations and discussions, which made the conference very successful indeed. We are also grateful to the Conference Chair, the Program Committee Chair, the Publication Chair, the Organizing Committee, and the Technical Program Committees for their fruitful work. We would like to express our thanks to all the authors for their time and genuine efforts, and to the reviewers for their fruitful comments during the preparation of this volume.The Committee of ICGEPS 2023List of Committee Member is available in this pdf.

The effects of financial institutions on the green energy transition: A cross-sectional panel study

A growing body of literature has focused on exploring the potential determinants of the green energy transition. This study focuses on financial institutions’ roles and efforts. This study is probably the first study to be conducted on a sample of 214 countries/regions worldwide between 1960 and 2017. We use four proxies to measure the performance of the four aspects of financial institutions: financial depth, access, efficiency, and stability. Apart from the global sample, we conduct panel data analysis on a subsample of countries/regions at different income levels. A panel-corrected standard error technique was adopted to obtain robust standard errors. Empirical evidence supports a strong causal relationship between financial institutions and green energy for the global sample. Depth and access to the development of financial institutions have a substantial impact on the green energy transition. However, there are considerable differences in the estimates for the different subsamples. The positive effect of high-income countries/regions is significantly higher than the global average. This demonstrates that high-income countries/regions with well-developed financial systems can provide a particular mix of financial instruments for green energy investment and innovation. However, the stability of financial institutions seems to hinder the further development of green energy deployment. Moreover, in low-and lower-middle-income countries/regions, the development of financial institutions hinders green energy transition, and inadequate financing conditions remain a major challenge. Finally, the policy implications of these findings are provided.

A step towards sustainable development: role of green energy and environmental innovation

A step towards sustainable development: role of green energy and environmental innovation

Powering the next wave of green energy innovation

Powering the next wave of green energy innovation

Determinants of load capacity factor in an emerging economy: The role of green energy consumption and technological innovation

Brazil’s ability to provide safe and dependable resources that can assist the nation achieve its goal of becoming carbon neutral by 2060 will have a significant impact on the nation’s sustainable development. Therefore, this study performs ARDL and frequency domain causality tests to evaluate the effect of disintegrated energy, technological innovation and economic growth on load capacity factor in South Africa between 1990 and 2018. The ARDL bounds test affirms a long-run interrelationship between the selected indicators in South Africa. The long-run elasticities show that economic expansion and nonrenewable energy deteriorate ecological quality, while green energy and technological innovation significantly boost ecological quality. The results of the frequency causality show that in the long-term, renewable energy, economic growth, technological innovation and nonrenewable energy Granger cause load capacity factor suggesting that the regressors can forecast the environmental quality in South Africa. Overall, these results demonstrate the significance of renewable energy in the fight against ecological deterioration. According to the aforementioned findings, South Africa’s environmental damage may be greatly reduced by renewable energy.

The role of green finance and energy innovation in neutralizing environmental pollution: Empirical evidence from the MINT economies.

Pursuing ecological sustainability while mitigating the effects of environmental pollution has become a global pursuit. Moreover, the issue of how emerging economies like Mexico, Indonesia, Turkey, and Nigeria (MINT) economies can significantly reduce environmental pollution (EVP) remains elusive. This study sought to investigate the interplay between economic growth, green finance, renewable energy use, natural resource rent, energy innovation, urbanization and environmental pollution by analyzing panel data from 1990 to 2020. This research employed the novel econometrics approach CS-ARDL to examine the short and long-term relationships among the series. The research outcome disclosed that economic growth, natural resource rent and urbanization increase environmental pollution. In contrast, the empirical findings of this study revealed that environmental pollution could be neutralized through effective mechanisms such as green finance, renewable energy consumption, and the promotion of energy innovation. This research provides a fresh insight from the MINT economies and contributes to the existing literature by examining factors contributing to environmental pollution. This research also provides a benchmark for policy-makers and governments to invest in environmentally-friendly technologies to exploit the natural resources in these countries to mitigate the effect of environmental pollution.