Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2024 , Vol. 58 >Issue 5: 600 - 609

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.437

New Type Power System and the Integrated Energy

Dynamic Optimization of Carbon Reduction Pathways in Coastal Metropolises Considering Hidden Influence of Decarbonization on Energy Demand

  • XIAO Yinjing ,
  • ZHANG Di ,
  • WEI Juan ,
  • GE Rui ,
  • CHEN Dawei ,
  • YANG Guixing ,
  • YE Zhiliang
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  • 1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
    3. National Electric Power Dispatching and Control Center, Beijing 100031, China
    4. State Grid Xinjiang Electric Power Co.,Ltd., Urumqi 830000, China

Received date: 2022-11-01

  Revised date: 2023-01-03

  Accepted date: 2023-01-04

  Online published: 2023-03-15

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Abstract

Setting a reasonable carbon reduction plan in coastal metropolises is the key part to reach the global carbon target. Carbon reduction will change urban climate and influence energy demand, both of which affect the optimization results of carbon reduction pathways. Current generation expansion optimization models consider direct abatement contribution and solve most problems of planning for long-term carbon emission reduction in energy systems. However, the construction of new type power systems also indirectly impacts carbon emissions by changing microclimate factors such as heat island intensity. By combining generation expansion with carbon emission prediction model, the proposed approach in this paper considers the hidden mechanism of carbon and heat emission change on air-conditioning loads and dynamically optimizes the carbon reduction pathways in coastal metropolises. Taking Pudong Area in Shanghai as an example, the estimated cost of carbon reduction is reduced by the proposed approach. Some suggestions for the carbon reduction in coastal metropolises are made according to the simulation results.

Key words： dynamic optimization; carbon emission reduction; power system planning; microclimate; load forecasting

Cite this article

XIAO Yinjing , ZHANG Di , WEI Juan , GE Rui , CHEN Dawei , YANG Guixing , YE Zhiliang . Dynamic Optimization of Carbon Reduction Pathways in Coastal Metropolises Considering Hidden Influence of Decarbonization on Energy Demand[J]. Journal of Shanghai Jiaotong University, 2024 , 58(5) : 600 -609 . DOI: 10.16183/j.cnki.jsjtu.2022.437

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