Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118109
DC FieldValueLanguage
dc.contributorDepartment of Building Environment and Energy Engineering-
dc.contributorResearch Institute for Smart Energy-
dc.contributorMainland Development Office-
dc.creatorPeng, W-
dc.creatorChen, Y-
dc.creatorWang, S-
dc.date.accessioned2026-03-17T03:19:01Z-
dc.date.available2026-03-17T03:19:01Z-
dc.identifier.issn0306-2619-
dc.identifier.urihttp://hdl.handle.net/10397/118109-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectDecarbonizationen_US
dc.subjectPower sectoren_US
dc.subjectRegional cooperationen_US
dc.subjectScenario analysisen_US
dc.subjectSpatiotemporal modelingen_US
dc.titleSynergistic decarbonization strategies for high-density cities and their neighboring areas : a case for Hong Kong and Guangdong's power systemen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume396-
dc.identifier.doi10.1016/j.apenergy.2025.126173-
dcterms.abstractTo achieve carbon neutrality, high-density cities with limited natural resources are shifting from a fossil fuel-dominated generation structure to a more sustainable alternative. Regional cooperation emerges as a cost-effective solution for synergistic decarbonization, enabling mutual benefits between megacities and their hinterlands. This research investigates the potential benefits and challenges of such cooperation through a case analysis of Hong Kong and Guangdong's power systems. A novel power system evaluation framework based on real-world data at high spatiotemporal resolution is developed to analyze the supply-demand dynamics and explore suitable decarbonization scenarios for 2035. In this framework, the load demand of Hong Kong is initially introduced by simulating the electricity consumption patterns of typical buildings. Detailed modeling of 30 existing wind and solar power plants is conducted and optimal cross-border configurations are identified through supply-demand dynamics and economic performance. Scenario analysis demonstrates that enhanced regional cooperation can effectively reduce total system costs by 6.12 % to 9.73 % (approximately 2.37 to 8.56 billion USD) and annual carbon emissions by 43.66 % to 59.10 % (roughly 7479.89 to 10,125.39 ktCO₂), compared to reference trajectories. Challenges to deepening regional collaboration, including substantial upfront costs, technological uncertainties, and collaborative inefficiencies, are also discussed, offering actionable insights for policymakers and stakeholders to advance cross-border decarbonization partnerships.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationApplied energy, 15 Oct. 2025, v. 396, 126173-
dcterms.isPartOfApplied energy-
dcterms.issued2025-10-15-
dc.identifier.scopus2-s2.0-105007428776-
dc.identifier.eissn1872-9118-
dc.identifier.artn126173-
dc.description.validate202603 bcjz-
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001242/2025-11en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work is financially supported by the Natural Science Foundation of Ningbo of China (No. 2023J027), Shenzhen Science and Technology Innovation Commission ( KCXST20221021111203007), China Meteorological Administration under Grant QBZ202316 , as well as by the High Performance Computing Centers at Eastern Institute of Technology, Ningbo, and Ningbo Institute of Digital Twin.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-10-15en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-10-15
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