Article
Green & Sustainable Science & Technology
Mitchell Scovell, Rod McCrea, Andrea Walton, Lavinia Poruschi
Summary: This research examines the influence of support for energy transition narratives and other social licence factors on local acceptance of large-scale solar farms. The findings suggest that general support for renewables has a significant impact on local acceptance, while beliefs about the energy transition have a relatively weaker effect. The alignment with broader energy transition narratives plays an important role in explaining local support for solar farms.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kartik Naik, Chris Vermillion
Summary: This paper presents a co-design framework for optimizing the design, site, and controller of a kite-based marine hydrokinetic energy-harvesting system. The framework utilizes nesting and layering techniques to solve the optimization problem effectively. The resulting co-design tool significantly improves system performance compared to sequential optimization approaches.
Article
Construction & Building Technology
Huifang Li, Yujing Han, Tao Wang, Zhihua Wang, Yanan Li, Huanfeng Shen
Summary: This study, using data from multiple sensors, examines the evolution of urban polycentricity and changes in the urban thermal environment in Wuhan, China from 2000 to 2020. The results show a significant increase in the number and size of urban morphological centers and changes in the urban thermal environment.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Green & Sustainable Science & Technology
Sofie ten Bosch, Elena Ravera, Lyesse Laloui
Summary: Energy piles are an innovative technology that can provide sustainable geothermal heating or cooling energy for thermal conditioning purposes. This study evaluates the feasibility of energy piles in hot-dominated climates and highlights their effectiveness in reducing carbon emissions in building energy supply.
Article
Green & Sustainable Science & Technology
Ehsan Shalfoh, Mardiana Idayu Ahmad, Fozy Binhweel, Marwan Abdulhakim Shaah, Wardah Senusi, Md Sohrab Hossain, Sami Alsaadi
Summary: This research focuses on the extraction of fish waste oil from discarded fish waste using supercritical carbon dioxide (scCO2) for biodiesel production. The findings reveal that fish waste can serve as a viable feedstock for biofuel production.
Article
Green & Sustainable Science & Technology
Matias Alday, George Lavidas
Summary: This study characterizes the tidal stream resource along the coast of The Netherlands and identifies areas with high tidal current intensities, which could be potential sources of renewable energy for the country.
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Article
Green & Sustainable Science & Technology
Rafael C. F. Mendes, Benoit Chapui, Taygoara F. Oliveira, Ricardo Noguera, Antonio C. P. Brasil Junior
Summary: This study investigates the wake flow characteristics of horizontal-axis turbines and the interactions between multiple turbines using experimental and computational methods. The results show that a triangular arrangement of three turbines can convert more power than separate turbines. A new method to improve turbulence intensity calculations is proposed.
Article
Green & Sustainable Science & Technology
Xiu-Yan Gao, Jie-Mei Liu, Yuan Yuan, He-Ping Tan
Summary: This study used the Informer model to predict GHI, considering AOD, meteorological parameters, and historical GHI data as input variables. The results showed that the models considering AOD had lower prediction errors, and the difference was more significant when the predicted day had a larger AOD. By adding Planck's average AOD as a feature input, the accuracy of the model was improved regardless of the AOD size on the prediction day.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Dongdong Li, Lin Wang, Qingpo Yang, Yutao Guo, Wei Zhang, Chao Shen, Jihong Pu
Summary: In this study, a novel reversible liquid-filled energy-saving window that effectively regulates indoor solar radiation heat gain is proposed. Experimental results show that this window can effectively reduce indoor temperature during both summer and winter seasons, while having minimal impact on indoor illuminance.
Article
Green & Sustainable Science & Technology
Aamina Teladia, Henny van der Windt
Summary: The European Union recognizes the importance of community energy initiatives and has introduced legislation to promote consumer participation and renewable energy communities. The case study of the Netherlands, transitioning away from natural gas, provides valuable insights into local ownership and participation in community energy initiatives. This study utilizes the Socio-Ecological Systems Framework and participatory literature to analyze citizen engagement, finding that an inclusive participatory environment, information sharing, and energy cooperatives are key factors for successful engagement.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Mingze Zhang, Weidong Li, Samson Shenglong Yu, Haixia Wang, Yu Ba
Summary: Grid scale battery integration plays a crucial role in integrating renewable energy and forming smart grids. This study proposes a day-ahead optimization dispatch strategy that coordinates generation units and a large-scale battery energy storage station to participate in multi-type frequency control ancillary services, aiming to minimize operation costs and address wind power uncertainty.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Construction & Building Technology
Jianhua Guo, Zhiheng Liu, Xiao Xiang Zhu
Summary: This study creates a high-resolution urban tree canopy cover dataset using deep learning based on remote sensing images, revealing the heterogeneity of tree canopy cover in Brazilian cities. The results show regional variations in tree canopy cover and a difference between old and new urban areas, with most urban populations exposed to low tree canopy coverage. Climate factors play a major role in determining the tree canopy cover patterns. Therefore, the study suggests the Brazilian government should focus on greening renovation in old urban areas and formulate effective tree irrigation policies for cities with limited rainfall.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Review
Green & Sustainable Science & Technology
Shuva Paul, Abodh Poudyal, Shiva Poudel, Anamika Dubey, Zhaoyu Wang
Summary: This paper explores the current landscape of resilience evaluation and metrics within the power distribution system domain, identifying key attributes and addressing challenges in the formulation and calculation of these metrics. It also discusses the interdependencies between power distribution systems and other critical infrastructures, as well as strategies to enhance system resilience. The paper provides support for power distribution system operators and planners in developing effective mitigation strategies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
N. Van Uffelen, B. Taebi, Udo Pesch
Summary: Energy justice is often approached through the four tenets of procedural, distributive, restorative and recognition justice, but further normative substantiations are needed. The scholarly literature largely ignores normative uncertainties in energy justice, leading to different normative conclusions. A revisited energy justice framework is proposed to articulate the normative uncertainties in principles and tenets, ultimately improving the quality and legitimacy of normative conclusions and policy recommendations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Xiang-Wei Lin, Yu-Bai Li, Wei-Tao Wu, Zhi-Fu Zhou, Bin Chen
Summary: This article investigates the issues of battery thermal management system in electric vehicles, analyzing the working principles, temperature effects, and modeling methods, and discussing common cooling methods. However, with the increasing demand for high energy density and fast charging, traditional methods are insufficient, and thus two-phase heat transfer strategies are needed. Finally, the article reviews the latest research progress based on different strategies and discusses the heat transfer mechanism, pros and cons, and future prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Construction & Building Technology
Jue Liu, Xinyi She, Junqi Wang
Summary: This paper proposes a two-level optimization framework for the layout and form design of building clusters. The effectiveness of the framework is demonstrated through a case design project. The results show that the layout of a building cluster has significant impacts on the outdoor thermal environment during different seasons.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Green & Sustainable Science & Technology
Adeel Feroz Mirza, Zhaokun Shu, Muhammad Usman, Majad Mansoor, Qiang Ling
Summary: This paper proposes a novel deep learning model, QT-MARF, based on the Quantile-Transformed Multi-Attention Residual Framework, for accurate forecasting of wind and photovoltaic power. The model utilizes PV and wind data from Natal, Santa Vitoria, and the Chinese State Grid, and demonstrates promising results in terms of accuracy and efficiency, outperforming traditional models.
Article
Green & Sustainable Science & Technology
Siqi Zhang, Jirui Gong, Cunde Xiao, Xiaofan Yang, Xiaobing Li, Zihe Zhang, Liangyuan Song, Weiyuan Zhang, Xuede Dong, Yuxia Hu
Summary: The agrophotovoltaic system can solve conflicts among resource utilization, ecological protection, and agricultural production while achieving low-carbon economic development. By comparing different ecosystems, we found that the agrophotovoltaic system can improve the land use efficiency, net income, and quality of crops. Bupleurum chinense and Medicago sativa can adapt to the decreased light by regulating their morphology and photosynthetic parameters.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Xin He, Ning Wang, Qiaoqiao Zhou, Jun Huang, Seeram Ramakrishna, Fanghua Li
Summary: The excessive use of fossil energy globally has led to an increase in greenhouse gas emissions. Sustainable aviation fuels (SAFs) are proposed as a promising solution to mitigate these emissions in the aviation sector. However, the high costs of current SAFs remain a challenge, and machine learning-based technologies are important for developing intelligent aviation fuel systems in the future. This research aims to systematically summarize the latest findings on machine learning technology in smart biofuel energy systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
