Application potential of rooftop photovoltaics (PV) in elevated metro station for a low-carbon future: Characteristic analysis and strategies for supply-demand mismatch

IF 9 1区 工程技术 Q1 ENERGY & FUELS Renewable Energy Pub Date : 2024-11-23 DOI:10.1016/j.renene.2024.121983
Haobo Yang , Bowen Guan , Ji Zhang , Tao Zhang , Xiaohua Liu , Xinke Wang
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Abstract

Integrating photovoltaic (PV) system offers a promising solution to mitigate energy demand within the metro system, promoting cleaner electricity and contributing to a low-carbon future. However, due to discrepancies between PV power generation and energy demand profiles, on-site PV utilization remains suboptimal. Currently, there is a research gap concerning mismatch deconstruction based on formative principles. Addressing this gap, the study proposes a novel mismatch deconstruction approach that deconstructs mismatches along three dimensions: quantity, stagger, and shape. The findings reveal that, in the baseline scenario, quantity mismatch dominates, accounting for 62.6 %, and stagger mismatch and shape mismatch contribute 34.3 % and 3.1 %, respectively. Furthermore, the mapping relationship between mismatch deconstruction and mitigation strategies is explored and solutions for scenarios where different deconstruction results are the main contradictions is provided. Results shows that quantity mismatch represents PV capacity requirements, while stagger mismatch and shape mismatch signify energy storage capacity needs. When the quantity mismatch ratio is below 0.5, the investment preference is completely biased towards energy storage. Leveraging the deconstruction, an investment optimization method is introduced to maximize renewable energy supply and maximize economic benefits. It is hoped that the study provides valuable insights into a sustainable and low-carbon future for transport industry.
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高架地铁站屋顶光伏(PV)在低碳未来中的应用潜力:特性分析与供需错配策略
整合光伏(PV)系统为缓解地铁系统内的能源需求提供了一个前景广阔的解决方案,可促进更清洁的电力供应,为低碳未来做出贡献。然而,由于光伏发电与能源需求之间存在差异,现场光伏利用率仍未达到最佳状态。目前,基于形成原理的错配解构研究尚属空白。针对这一空白,研究提出了一种新的错配解构方法,从数量、错开和形状三个维度解构错配。研究结果表明,在基准情景中,数量错配占主导地位,占 62.6%,错开错配和形状错配分别占 34.3% 和 3.1%。此外,还探讨了错配解构与缓解策略之间的映射关系,并针对以不同解构结果为主要矛盾的方案提供了解决方案。结果表明,数量错配代表光伏发电容量需求,而错开错配和形状错配则代表储能容量需求。当数量错配比低于 0.5 时,投资偏好完全偏向于储能。通过解构,引入了一种投资优化方法,以实现可再生能源供应的最大化和经济效益的最大化。希望本研究能为交通运输业实现可持续的低碳未来提供有价值的见解。
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来源期刊
Renewable Energy
Renewable Energy 工程技术-能源与燃料
CiteScore
18.40
自引率
9.20%
发文量
1955
审稿时长
6.6 months
期刊介绍: Renewable Energy journal is dedicated to advancing knowledge and disseminating insights on various topics and technologies within renewable energy systems and components. Our mission is to support researchers, engineers, economists, manufacturers, NGOs, associations, and societies in staying updated on new developments in their respective fields and applying alternative energy solutions to current practices. As an international, multidisciplinary journal in renewable energy engineering and research, we strive to be a premier peer-reviewed platform and a trusted source of original research and reviews in the field of renewable energy. Join us in our endeavor to drive innovation and progress in sustainable energy solutions.
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