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      Sustainable development pathways for energies in Yangtze River Delta urban agglomeration

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          Abstract

          The sustainable development of urban agglomerations plays a pivotal role in national and global efforts to reduce emissions. By focusing on the efficient exchange and optimization of energy consumption across various sectors, the sustainable development of energy systems within urban agglomerations can be achieved. However, the overall impact of the cross-sector energy optimization and complementarity has not been quantitatively analyzed. Here, we focused on the Yangtze River Delta (YRD) urban agglomeration in China and proposed an optimization framework for energy, environment, and economy. The framework considered four sectors: transportation sector, power sector, industry sector, and building sector, in order to determine the most sustainable development pathway for the urban agglomeration. The optimization model considers total costs and greenhouse gas emissions reduction as the objectives and utilizes technologies as constraints to optimize the pathway. We found that this optimization strategy resulted in a 53.1 billion tons increase in CO 2 emissions reduction in the region. The results of emission reduction varied across sectors, ranging from 4.5 to 22.2 billion tons CO 2 equivalent, and across cities, ranging from 7.1 to 4688.1 Mt. The results suggest that the core cities in the urban agglomeration can take on a leadership role. By promoting cross-sector collaboration and implementing energy recycling, the energy efficiency of surrounding cities can be greatly improved, leading to the sustainable development of the urban agglomeration.

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          Most cited references49

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          Urban agglomeration: An evolving concept of an emerging phenomenon

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            The influence of financial incentives and other socio-economic factors on electric vehicle adoption

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              Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050

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                Author and article information

                Contributors
                xieda@sjtu.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                24 October 2023
                24 October 2023
                2023
                : 13
                : 18135
                Affiliations
                [1 ]Department of Electrical Engineering, Shanghai Jiao Tong University, ( https://ror.org/0220qvk04) Shanghai, 200240 China
                [2 ]Department of Electronic and Electrical Engineering, University of Bath, ( https://ror.org/002h8g185) Bath, BA27AY UK
                [3 ]GRID grid.9227.e, ISNI 0000000119573309, Institute of Automation, , Chinese Academy of Sciences, ; Beijing, 100190 China
                Article
                44727
                10.1038/s41598-023-44727-x
                10598035
                37875510
                3471dde5-8bdd-4ef7-9823-710deebcf647
                © Springer Nature Limited 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 July 2023
                : 11 October 2023
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                © Springer Nature Limited 2023

                Uncategorized
                environmental social sciences,energy science and technology
                Uncategorized
                environmental social sciences, energy science and technology

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