Energy & Environment最新文献

{"title":"Global impact of geopolitical oil price uncertainty and associated commodity prices on clean energy stocks","authors":"Oktay Ozkan, Asima Saleem, Nasir Khan, A. Alola","doi":"10.1177/0958305x231225303","DOIUrl":"https://doi.org/10.1177/0958305x231225303","url":null,"abstract":"Theoretically, geopolitical risk and policy uncertainties can directly affect energy markets. Since fluctuations in it lead to cost the of clean energy sources as they compete with traditional energy. Regarding this, our study aims to scrutinize the impact of geopolitical oil price uncertainty on clean energy stocks by controlling the influences of economic policy uncertainty, gold, natural gas, and coal prices. For that purpose, the study utilized monthly data from July 2007 to September 2020 and employed a machine learning method, namely kernel-based regularized least squares approach. Empirical analysis reveals that geopolitical oil price uncertainty and coal prices have a nonlinear positive effect on clean energy stock prices. It is also found that the impact of global economic policy uncertainty, gold, and natural gas prices on clean energy stock prices is nonlinear and negative. The implication signifies that clean energy stock prices are hampered by economic policy uncertainty, and gold, and natural gas prices, thus hindering the development of clean energy sources. Similarly, for the robustness of the study, the quantile regression approach and findings reveal similar outcomes to that of the KRLS model. Based on these findings, policy implications that potentially aid renewable energy investments are put forward. The study also guides investors, financial advisors, and portfolio managers for better decision-making in consideration of uncertainties and associated fluctuations in energy markets and commodity prices.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139889386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wind speed and wind power forecasting models","authors":"M. Lydia, G. Edwin Prem Kumar, R. Akash","doi":"10.1177/0958305x241228515","DOIUrl":"https://doi.org/10.1177/0958305x241228515","url":null,"abstract":"Sustainable energy resources have proved to be the best alternative in the wake of environmental degradation, depletion of ozone layer and ever-increasing demand for energy. Though wind energy is a promising resource, the non-linear nature and non-stationary characteristics of wind have remained a formidable challenge. Variability in wind power has posed numerous challenges in managing the power systems, especially in grid evacuation, penetration and integration. Forecasting wind is one of the powerful solutions to solve this problem. As the penetration of renewable energy sources is poised to increase in future, an accurate prediction can go a long way in helping the electricity grid to perform well. This article presents a review of existing research and recent trends in the forecasting of wind power and speed with a critical analysis of the contribution of every researcher. A review of forecasting technologies, data, time horizons, various forecasting approaches and error metrics has been presented in detail. The plethora of research issues that continue to challenge power system operators, wind farm owners and other stakeholders has been highlighted. The development of models for wind power or wind speed forecasting with excellent reliability and outstanding accuracy is the need of the hour.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"223 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140475884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing the arch-fired low-NOx performance with a throat overfire air for lowering NOx and hopper overheating","authors":"Shuting Cheng, Min Kuang, Jiaqi Chen, Shengchen Qi","doi":"10.1177/0958305x241228516","DOIUrl":"https://doi.org/10.1177/0958305x241228516","url":null,"abstract":"Upon the background of China's dual-carbon energy and environment strategies and the requirements of green and sustainable development in the new era, how to gradually reduce coal consumption while at the same time enhance the efficient and clean use of coal and reduce pollutant emissions is attracting more and more attention. For a 600-MWe arch-fired furnace facing persistent challenges of high NO x output and an overheating risk in hopper as firing anthracite, a cascade-arched low-NO x and high-efficiency configuration (CLHC) was taken as an alternative to the existing multiple-injection and multiple-staging combustion technique (i.e., the MIMSCT, denoted as the reference furnace or technique in this study). In particular, along the furnace height the CLHC's overfire air (OFA) position in the burnout zone has an important influence on the low-NO x performance due to the shrunk furnace-arch space and a short upper furnace. Aiming at evaluating the OFA-location effect and confirming the CLHC in resolving the above problems, industrial-scale experiments and modeling were performed in the reference furnace and thereafter, the low-NO x characteristics with the CLHC was simulated considering three different OFA locations of the upper-furnace OFA, throat OFA, and arch OFA. In the OFA-location elevated order, the blending position of OFA and the main upward gas first lowered and then elevated, while the OFA penetration, overall combustion performance, and major low-NO x accomplishment indexes related to NO x yield and burnout loss initially improved but then deteriorated. As a result, the medium throat OFA presented the optimal low-NO x merit among the three setups, with the unburnt combustible of 5.3% in fly ash alongside NO x yield of 660 mg/m3 (O2 = 6%), respectively. By comparison to the reference technique, the CLHC gained a 30% NO x reduction ratio without affecting burnout and greatly relieved the hopper overheating issue via reducing sharply its temperatures by 400 K, thereby confirming the CLHC's viability. This study provided guidance on the safe furnace operations and reduction of pollutant emissions, benefiting the efficient and environmentally friendly usage of low-quality coals in industrial-scale furnaces.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140477377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time, frequency, and quantile-based role of R&D investments in energy on sectoral degradation in the United States","authors":"M. Kartal","doi":"10.1177/0958305x241228508","DOIUrl":"https://doi.org/10.1177/0958305x241228508","url":null,"abstract":"An important part of environmental pollution has resulted in energy consumption, the level of environmental pollution varies across sectors, and energy R&D investments have been strategic tools in this respect. Considering this fact, the research studies the role of R&D investments in energy on CO2 emissions by focusing on the USA case as pioneering R&D investing country in energy technologies. In this context, the study makes a disaggregated level analysis and performs various nonlinear methods to data between 1975/Q1 and 2020/Q4. The nonlinear empirical results demonstrate that (i) R&D investments have a strong dependency on sectoral CO2 emissions across times and frequencies; (ii) at higher quantiles, R&D investments in nuclear energy have a generally declining impact on power and building sector CO2 emissions, whereas R&D investments in renewable energy stimulate sectoral CO2 emissions; (iii) R&D investments are causally effective on sectoral CO2 emissions across various quantiles; (iv) R&D investments in total curb generally sectoral CO2 emissions. The research demonstrates that R&D investments in energy on sectoral CO2 emissions have a varying heterogonous impact based on time, frequency, quantile, and R&D types. Thus, USA policymakers should include time, frequency, quantile, R&D types, and sector-based differentiating impacts to curb sectoral CO2 emissions in re-formulating energy environmental policy framework as a critical issue for ensuring sustainable development. Accordingly, various policies (e.g. relying on nuclear R&D investments, re-balance distribution of the R&D investments among the alternatives, consideration of sectoral differences) are discussed.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"132 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140485026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Role of eco-innovation and financial globalization on ecological quality in China: A wavelet analysis","authors":"Huiwen Zhang, Khatib Ahmad Khan, B. S. Eweade, T. Adebayo","doi":"10.1177/0958305x241228518","DOIUrl":"https://doi.org/10.1177/0958305x241228518","url":null,"abstract":"Today, pressing environmental concerns such as addressing climate change and countering global warming have taken center stage among policymakers and diverse organizations. The 2016 Paris Agreement underscores the urgency of decarbonization and the criticality of reducing CO2 emissions for fostering sustainable development. Given that environmental policies can yield diverse impacts across short-, medium-, and long-term periods, it becomes pivotal for policymakers to grasp the underlying causes of ecological footprint by scrutinizing their effects across these different timeframes and periods. Consequently, our investigation delved into the correlation and lead/lag interrelationship between ecological footprint, financial globalization, urbanization, eco-innovation, and economic growth in China spanning from 1985q1 to 2022q4. Leveraging on series of wavelet tools, our study aimed at formulating precise policies. The economic perspective derived from the wavelet analysis indicated a negative correlation between urbanization and eco-innovation with the ecological footprint, whereas economic growth and financial globalization exhibited a positive correlation with the ecological footprint. Consequently, we advocate for the implementation of appropriate policy measures to ensure that the Chinese economy charts a course toward sustainability.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"73 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140482482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effective regeneration of deactivated Raney-Ni catalyst during multiphase hydrogenation of vegetable oil","authors":"Muhammad Ali, I. Shafiq, Murid Hussain, P. Akhter, Farrukh Jamil, Young-Kwon Park","doi":"10.1177/0958305x231225109","DOIUrl":"https://doi.org/10.1177/0958305x231225109","url":null,"abstract":"Raney nickel is extensively used as a catalyst in the hydrogenation of vegetable oils. However, it deactivates over time and is known as a spent nickel catalyst, which is potentially hazardous to the environment. By contrasting different approaches, a straightforward and original strategy for regenerating spent nickel catalyst was developed by comparing various methods. The fresh, spent nickel catalyst, and treated catalyst samples were characterized using X-ray diffraction, Fourier transform infrared, atomic absorption spectroscopy, scanning electron microscopy, energy dispersive X-ray spectroscopy, and color scheme analyses. The results showed that the catalyst deactivation was primarily due to oil deposition over the active sites, agglomeration of catalyst, and entrainment of nickel during hydrogenation. Using n-hexane as the solvent with a spent nickel catalyst-to-solvent ratio of 1:12 (g/mL), a 65 °C temperature, and a two-hour extraction time, ultrasonication-assisted solvent extraction of spent nickel catalyst proved to be the most effective and efficient process for regeneration.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"32 50","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139442735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The N-shaped environmental Kuznets curve for biodiversity loss: A count data analysis","authors":"Thian-Hee Yiew, Lin-Sea Lau, Ai-Lian Tan, Yan-Ling Tan","doi":"10.1177/0958305x231225295","DOIUrl":"https://doi.org/10.1177/0958305x231225295","url":null,"abstract":"While South and Southeast Asian countries have experienced resilient economic growth over the years, the region has also been a global hotspot for biodiversity loss. Thus, this study examines the income-biodiversity loss nexus within the framework of the N-shaped environmental Kuznets curve (EKC) for South and Southeast Asian countries by employing annual sample data over the period of 2013–2019. The N-shaped nexus between income and biodiversity loss is analyzed using the negative binomial regressions to deal with count outcomes and to overcome the over-dispersion issues. The estimation results consistently depict that the N-shaped EKC hypothesis holds true for South and Southeast Asia in both the aggregated model and disaggregated models (eight taxonomic groups). It is discovered that the threatened species rises when income reaches between $11,607 and $16,329 and declines when income goes to $38,880 and $52,303 over the sample period. Agricultural land and threatened species are positively related. Further, the control of corruption can lessen the decline in biodiversity. Our study reveals some important policies to achieve sustainable development without affecting the health of ecosystems in South and Southeast Asia.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"45 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139442342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-sectional dependence in financial openness and its influence on renewable energy consumption in Asia","authors":"Lei Wang, Muhammad Hafeez, Sana Ullah, Izzet Ulvi Yonter","doi":"10.1177/0958305x231219786","DOIUrl":"https://doi.org/10.1177/0958305x231219786","url":null,"abstract":"Renewable energy is known for its lower environmental impact compared to conventional fossil fuels. The integration of financial openness plays a pivotal role in driving renewable energy consumption. The existing literature has predominantly overlooked the nonlinear impact of financial openness on renewable energy consumption. This study examines the nonlinear impact of financial openness on renewable energy consumption across different regions in Asia, such as Central Asia, East Asia, South Asia, Southeast Asia, and West Asia, by employing linear and nonlinear cross-sectionally augmented autoregressive distributed lag techniques. The findings of the linear analysis confirm that financial openness favorably impacted renewable energy consumption in the long run in all regions. On the other side, the nonlinear analysis highlights that an increase in financial openness promotes renewable energy consumption in all regions except West Asia. In contrast, the fall in financial openness hurt renewable energy consumption in Asia, Central Asia, and West Asia. Greenhouse gas emissions and GDP promote renewable energy consumption in almost all regions in both linear and nonlinear analysis, and ICT and trade help the consumption of renewable energy to rise in some regions. Policymakers in Asia and its subregions should focus on increasing the collaboration between the financial sectors of the Asian economies and increasing the flow of funds to renewable energy sources in Asia.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"23 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139158803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects","authors":"Qiang Wang, Tingting Sun, Rongrong Li","doi":"10.1177/0958305x231220520","DOIUrl":"https://doi.org/10.1177/0958305x231220520","url":null,"abstract":"This paper investigates the intricate relationship between artificial intelligence (AI) and green innovation within the context of sustainable development goals. As societies strive to achieve sustainability, understanding the dynamics between technological advancements and environmental progress becomes paramount. Drawing from panel data encompassing 51 countries between 2000 and 2019, this study employs fixed-effects models, mediated effects models, and spatial Durbin models to meticulously examine the influence of AI on green innovation. The empirical findings reveal a robust and significantly positive correlation between AI and green innovation, highlighting the critical role of AI in fostering environmental innovation. Heterogeneity analysis across developed and developing economies delineates variations in the impact of AI on green innovation, shedding light on the influence of economic development levels and financial structures. Developed nations showcase a more pronounced AI-green innovation relationship compared to their developing counterparts, highlighting the complexities of technology adoption within distinct economic landscapes. Moreover, this study delves into the transmission mechanisms underlying the AI-green innovation nexus, revealing the mediating roles of industrial structure and human capital. Industrial upgrading and the enhancement of human capital emerge as crucial pathways through which AI indirectly stimulates green innovation. Spatial analyses reveals the spatial relevance of green innovation globally, emphasizing AI's substantial impact not only within domestic spheres but also across neighboring regions. There are significant direct, indirect, and total effects of AI on green innovation, highlighting its spillover characteristics and the catalytic role it plays in driving collaborative AI development on a global scale. This research contributes nuanced insights into the interplay between AI and green innovation, providing a foundation for policymakers, businesses, and researchers to comprehend the multifaceted dimensions of technological interventions in fostering sustainable innovation. The findings emphasize the imperative of collaborative efforts in utilizing AI's potential to propel green innovation, thereby advancing global sustainability agendas.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"17 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139158705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do tourism and CO2 emission predict technological innovation in developing countries: Examining Porter and innovative Claudia curve hypothesis","authors":"Tafazal Kumail, Wajahat Ali, Farah Sadiq, M. Baqar","doi":"10.1177/0958305x231222164","DOIUrl":"https://doi.org/10.1177/0958305x231222164","url":null,"abstract":"The accelerating concentration of CO2 emissions is attributed to human activities worldwide, leading to increased greenhouse gas emissions. There is an outcry for innovations to combat the environmental threat to even the existence of the human race. From this perspective, the current study aims to analyze the significance of technological innovation, tourism development, economic growth, and human development from the environmental perspective under the idea of carbon neutrality from 1996 to 2019. The study utilized dynamic ordinary least squares (DOLS) to estimate the relationship between the study variables and the panel vector error correction model to showcase the variables’ short and long-run connections. Results reveal that CO2 emissions positively affect technological innovations, which is evidence of the Porter hypothesis. The study showed that the gross domestic product, tourism, and human development index are good innovation indicators and supported the growth-led innovation hypothesis. This study supports the innovative Claudia curve theory between technology and CO2 emissions. Moreover, the study also investigated the Environmental Kuznets Curve (EKC) hypothesis during the study period. The causality analysis also supports the long-run results of DOLS. Based on the results, the study has implications for future researchers, policymakers, and regulatory bodies in developing countries to achieve carbon neutrality and Agenda 2030.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139159632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}