{"title":"Electrical Power Interconnection-Based Urban Energy Systems: A Study of the Clean, Economic and Synergistic Operation","authors":"Xianan Jiao, Jiekang Wu, Yunshou Mao, Mengxuan Yan, Qingtao Rui, Zhikai Pang","doi":"10.1002/ese3.2020","DOIUrl":null,"url":null,"abstract":"<p>As urban areas expand, energy demands are escalating, necessitating the development of urban energy systems (UES) to achieve energy conservation and emission reduction goals. Although small-scale regional integrated energy supply technologies have reached a level of maturity, urban-scale integrated energy supply solutions are still in development. In response, this study introduces an architecture for the UES and an economic and low-carbon operation strategy. The approach begins by constructing a highly reliable and robust integrated energy system (IES) within each independent region to accommodate a variety of energy needs, followed by the establishment of an operational architecture for large-scale urban energy systems. The study then examines the energy flow and the mathematical model of multiple energies within urban energy systems, simplifying the complex model for practical application. Subsequently, a multiobjective optimization model is developed to facilitate the large-scale consumption of clean energy, with considerations for economic and low-carbon operations, and is formatted into a linear programming model. The model's accuracy is empirically tested through numerical simulation in a city divided into three regions. The simulation results demonstrate substantial improvements in clean energy consumption, a reduction in carbon emissions, and a decrease in operational costs. Specifically, the proposed strategy can boost the clean energy consumption rate to 96.41%, cut operational costs by up to 50.13%, and lower carbon dioxide emissions by up to 57.59% compared to traditional technologies. These findings robustly validate the methodology's effectiveness, paving the way for more sustainable urban energy management practices.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 2","pages":"657-672"},"PeriodicalIF":3.5000,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.2020","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Science & Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ese3.2020","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
As urban areas expand, energy demands are escalating, necessitating the development of urban energy systems (UES) to achieve energy conservation and emission reduction goals. Although small-scale regional integrated energy supply technologies have reached a level of maturity, urban-scale integrated energy supply solutions are still in development. In response, this study introduces an architecture for the UES and an economic and low-carbon operation strategy. The approach begins by constructing a highly reliable and robust integrated energy system (IES) within each independent region to accommodate a variety of energy needs, followed by the establishment of an operational architecture for large-scale urban energy systems. The study then examines the energy flow and the mathematical model of multiple energies within urban energy systems, simplifying the complex model for practical application. Subsequently, a multiobjective optimization model is developed to facilitate the large-scale consumption of clean energy, with considerations for economic and low-carbon operations, and is formatted into a linear programming model. The model's accuracy is empirically tested through numerical simulation in a city divided into three regions. The simulation results demonstrate substantial improvements in clean energy consumption, a reduction in carbon emissions, and a decrease in operational costs. Specifically, the proposed strategy can boost the clean energy consumption rate to 96.41%, cut operational costs by up to 50.13%, and lower carbon dioxide emissions by up to 57.59% compared to traditional technologies. These findings robustly validate the methodology's effectiveness, paving the way for more sustainable urban energy management practices.
期刊介绍:
Energy Science & Engineering is a peer reviewed, open access journal dedicated to fundamental and applied research on energy and supply and use. Published as a co-operative venture of Wiley and SCI (Society of Chemical Industry), the journal offers authors a fast route to publication and the ability to share their research with the widest possible audience of scientists, professionals and other interested people across the globe. Securing an affordable and low carbon energy supply is a critical challenge of the 21st century and the solutions will require collaboration between scientists and engineers worldwide. This new journal aims to facilitate collaboration and spark innovation in energy research and development. Due to the importance of this topic to society and economic development the journal will give priority to quality research papers that are accessible to a broad readership and discuss sustainable, state-of-the art approaches to shaping the future of energy. This multidisciplinary journal will appeal to all researchers and professionals working in any area of energy in academia, industry or government, including scientists, engineers, consultants, policy-makers, government officials, economists and corporate organisations.