Electrical Power Interconnection‐Based Urban Energy Systems: A Study of the Clean, Economic and Synergistic Operation
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...
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Veröffentlicht in: | Energy science & engineering 2025-01 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 2050-0505 2050-0505 |
DOI: | 10.1002/ese3.2020 |