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An optimisation method for planning and operating nearshore island power and natural gas energy systems

Author

Listed:
  • Shi, Jiatong
  • Guo, Yangying
  • Wang, Sen
  • Yu, Xinyi
  • Jiang, Qianyu
  • Xu, Weidong
  • Yan, Yamin
  • Chen, Yujie
  • Zhang, Hongyu
  • Wang, Bohong

Abstract

As the development and use of offshore islands increase, so do the diversity of their energy needs, the cost of utilising the mainland for resource replenishment, and the instability of island energy systems. To address this challenge, this paper introduces an innovative system integrating fossil and renewable energy tailored for these islands, considering seasonal variations and external energy fluctuations. Leveraging a P-graph, an optimisation framework is designed to assess different optimised solutions. A comprehensive analysis is also performed to compare the solutions, while sensitivity assessments evaluate factors including electricity and gas price fluctuations, renewable energy availability, and natural gas demand. Additionally, the carbon emissions resulting from different power generation scenarios are visually represented and thoroughly analysed. The results support two key findings: 1) the cost of combined energy supply is lowest when wind energy accounts for 59 % of the total energy, mainland grid connection accounts for 3 %, fossil fuel energy accounts for 28 %, and natural gas accounts for 10 % of the energy mix; and 2) the price of electricity and natural gas supplied to the islands and the variability in the energy sources of wind and natural gas can significantly affect the cost of the energy system.

Suggested Citation

  • Shi, Jiatong & Guo, Yangying & Wang, Sen & Yu, Xinyi & Jiang, Qianyu & Xu, Weidong & Yan, Yamin & Chen, Yujie & Zhang, Hongyu & Wang, Bohong, 2024. "An optimisation method for planning and operating nearshore island power and natural gas energy systems," Energy, Elsevier, vol. 308(C).
  • Handle: RePEc:eee:energy:v:308:y:2024:i:c:s0360544224025714
    DOI: 10.1016/j.energy.2024.132797
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