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Results for: renewable energy

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2026 foroughian2026optimal DATABASE
Optimal operation of multi-carrier energy systems integrated with renewable energy sources and hydrogen storage systems.

Foroughian, Saina; Bijan, Zohreh Aghaie Joki; Karimi, Hamid; Hasanzadeh, Saeed

Scientific reports

Multi-energy systems are one of the main solutions to facilitate the integration of renewable energy resources in the smart energy system. To this end, this paper presents a comprehensive structure for the energy system that integrates the electrical, hydrogen, and water sections for sustainable management of modern energy systems. The presented model offers cooperative scheduling for neighbor multi-energy systems that provides the opportunity of local energy trading among them. Also, it focuses on the water system and seeks to supply potable water for the energy systems by a water well, desalination unit, and water storage tank. Besides, compressed air energy storage is developed to utilize the surplus generation of renewable energy to provide an efficient operation for the system. To control the uncertain nature of renewable generation, the energy systems can take part in the electrical and thermal demand-side programs to manage their consumption in response to the signal prices. The proposed model is tested on a standard case study, and the numerical results show that the cooperation among energy systems reduces their operating cost and unserved energy by $ 23.91 and 64.317 kWh compared to autonomous operation.
2026 akusta2026can DATABASE
Can Renewable Energy Mitigate Inflationary Pressures from Energy Imports? Evidence from Turkiye

Emre Akusta

arXiv Preprint

This study analyses the potential of renewable energy to reduce inflationary pressures arising from energy imports in Turkiye. Annual data for the period 1980-2022 are used in the analysis. In this study, unit root properties are examined using the Zivot-Andrews and Lee-Strazicich tests, both of which explicitly account for structural breaks. Cointegration is investigated via the Johansen and Hatemi-J cointegration tests. Long-run coefficients are subsequently estimated using the DOLS and FMOLS estimators. The robustness of the empirical findings is further assessed using the ARDL approach. In addition, an interaction term is constructed to measure the impact of renewable energy in alleviating inflationary pressures arising from energy imports. The results show that energy imports and exchange rate have an increasing impact on inflation, while renewable energy and the interaction term have a decreasing impact. DOLS, FMOLS, and ARDL results support each other. Moreover, in both models, the impact of renewable energy in mitigating inflationary pressures stemming from energy imports is stronger than the direct disinflationary impact of renewable energy.
2025 national renewable energy laboratory (nrel)2025renewable DATABASE
Renewable Energy Technical Potential and Supply Curves for the Contiguous United States: 2024 Edition

National Renewable Energy Laboratory (NREL), Golden, CO (United States); Lopez, Anthony; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office; Zuckerman, Gabriel; Pinchuk, Pavlo; Gleason, Michael; Rivers, Marie; Roberts, Owen; Williams, Travis; Heimiller, Donna; Thomson, Sophie-Min; Mai, Trieu; Cole, Wesley

Renewable Energy

2024 m.saleh2024the DATABASE
The challenges of sustainable energy transition: A focus on renewable energy

Hosam M.Saleh; Amal I.Hassan

Applied Chemistry for Engineering

Energy is both a fundamental necessity and a driving force behind human activities. Throughout history, energy consumption has steadily risen, evolving from basic needs like food and fire for early humans to complex industrial and technological requirements today. Transitioning to a sustainable energy system requires a policy framework that empowers developing nations to promote green industries, diversify their sectors, and accelerate growth while addressing climate change and related challenges. In response to the urgent need for a global transition towards sustainable energy sources, this research explores the pivotal roles of technology, research, and policy in advancing renewable energy solutions. Motivated by the growing environmental challenges associated with conventional energy sources, the primary goal of this study is to shed light on the multifaceted strategies that facilitate the widespread adoption of renewable energy and contribute to mitigating climate change. Through an extensive analysis of renewable energy technologies, research contributions, and policy frameworks, this research uncovers critical insights. Our findings reveal how technological innovations have revolutionized renewable energy sources, making them more efficient, affordable, and scalable. Furthermore, research efforts have identified new opportunities and addressed technical challenges, while also assessing the environmental and societal impacts of renewable energy adoption. Crucially, this study underscores the indispensable role of policy in driving renewable energy transitions. Governments worldwide play a pivotal role in incentivizing renewable energy development through financial incentives, regulatory mandates, and research and development support. Moreover, these policies aim to promote energy efficiency, conservation, and equitable access to sustainable solutions. The results of this research emphasize that the transition to renewable energy is not only a viable solution to climate change but also an opportunity to create green jobs, enhance energy security, and reduce greenhouse gas emissions. The potential for a sustainable future powered by renewable energy is within reach, and this study serves as a guidepost for realizing this transformative vision.
2024 usdoe office of energy efficiency and renewable energy (eere)2024mcgrath DATABASE
McGrath, Alaska Community Energy Plan [Slides]

USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office; Cooke, Aaron; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; National Laboratory of the Rockies (NLR), Golden, CO (United States); Martinez Biro, David; Levey, Milena; Corrigan, Anne

Renewable Energy

2024 zhao2024how DATABASE
How does artificial intelligence promote renewable energy development? The role of climate finance

Congyu Zhao; Kangyin Dong; Kung-Jeng Wang; Rabindra Nepal

Energy Economics

Scholars, stakeholders, and the government have given significant attention to the development of renewable energy in recent times. However, previous research has failed to acknowledge the potential impact of artificial intelligence on advancing renewable energy development. Drawing insights from a global dataset encompassing 63 countries over the period 2000 – 2019, this paper provides significant observations regarding the influence of artificial intelligence on the progress of renewable energy, by using the Instrumental Variable Generalized Method of Moments model. We also explore their asymmetric nexus, and the potential mediation effect. Moreover, this study explores the moderating role of climate finance and highlights the following interesting findings. First, artificial intelligence contributes significantly to the enhanced development of renewable energy, and this primary finding holds after two robustness tests of changing independent and dependent variables. Second, artificial intelligence has an asymmetric effect on renewable energy development, and their nexus is closer in countries with lower levels of renewable energy development. Thid, artificial intelligence works on renewable energy development through technology effect and innovation effect. Fourth, climate finance also presents direct benefits to renewable energy development; simultaneously, climate finance plays an effective moderating role in the relationship between artificial intelligence and renewable energy development. These findings inspire us to propose policy implications to promote the enhanced development of renewable energy.
2023 chen2023assessing DATABASE
Assessing the environmental impacts of renewable energy sources: A case study on air pollution and carbon emissions in China.

X. Chen; Kienpin Tee; Marwa Elnahass; R. Ahmed

Journal of environmental management

This study investigates the impact of renewable and non-renewable energy sources on carbon emissions in the context of China's 14th Five-Year Plan (2021-2025). The plan emphasises a "Dual-control" strategy of simultaneously setting energy consumption limits and reducing energy intensity for GDP (gross domestic product) in order to meet the targets of the five-year plan. Using a comprehensive dataset of Chinese energy and macroeconomic information spanning from 1990 to 2022, we conduct a Granger causality analysis to explore the relationship between energy sources and the level of air pollution. Our findings reveal a unidirectional link, wherein renewable energy contributes to a reduction in air pollution, while non-renewable energy sources lead to an increase. Despite the government's investment in renewable energy, our results show that China's economy remains heavily reliant on traditional energy sources (e.g., fossil fuels). This research is the first systematic examination of the interplay between energy usage and carbon emissions in the Chinese context. Our findings provide valuable insights for policy and market strategies aimed at promoting carbon neutrality and driving technological advancements in both government and industries.
2023 ovaitt2023technoeconomic DATABASE
Techno-economic analysis of renewable energy generation at the South Pole

Susan Babinec; Ian Baring-Gould; Amy N. Bender; Nate Blair; Xiangkun Li; Ralph T. Muehleisen; Dan Olis; Silvana Ovaitt

arXiv Preprint

Transitioning from fossil-fuel power generation to renewable energy generation and energy storage in remote locations has the potential to reduce both carbon emissions and cost. This study presents a techno-economic analysis for implementation of a hybrid renewable energy system at the South Pole in Antarctica, which currently hosts several high-energy physics experiments with nontrivial power needs. A tailored model of resource availability and economics for solar photovoltaics, wind turbine generators, lithium-ion energy storage, and long-duration energy storage at this site is explored in different combinations with and without existing diesel energy generation. The Renewable Energy Integration and Optimization (REopt) platform is used to determine the optimal system component sizing and the associated system economics and environmental benefit. We find that the least-cost system includes all three energy generation sources and lithium-ion energy storage. For an example steady-state load of 170 kW, this hybrid system includes 180 kW-DC of photovoltaic panels, 570 kW of wind turbines, and a 3.4 MWh lithium-ion battery energy storage system. This system reduces diesel consumption by 95% compared to an all-diesel configuration, resulting in approximately 1200 metric tons of carbon footprint avoided annually. Over the course of a 15-year analysis period the reduced diesel usage leads to a net savings of 57 million United States dollars, with a time to payback of approximately two years. All the scenarios modeled show that the transition to renewables is highly cost effective under the unique economics and constraints of this extremely remote site.
2009 usdoe office of energy efficiency and renewable energy (eere)2009an DATABASE
An Integrated Risk Framework for Gigawatt-scale Deployments of Renewable Energy: The U.S. Wind Energy Case

USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; Ram, Bonnie; US Department of Energy (USDOE), Washington, DC (United States). Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Renewable Energy