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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1374524

Research on the Cost Allocation Method of Deep Sea Wind Power Considering Carbon Trading and Green Certificate Trading Provisionally Accepted

 Guiyuan Xue1* Wenjuan Niu1 Chen Chen1 Yin Wu1 Xiaojun Zhu1
  • 1Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co., LTD., China

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Climate change imposes tighter limits on carbon emissions, which requiring the development of more green electricity. Deep sea wind power has the advantages of high wind energy density, high power generation utilization hours, no land occupation, and near to power load centers for easy on-site consumption which lead to a broad market prospect. In the foreseeable future, deep-sea wind power will usher in large-scale construction and development. The initial investment and construction cost of deep sea wind power is high, subsidies are gradually decreasing, and there is a lack of full life cycle economic analysis combined with various market policies, resulting in a lack of guidance for its investment and construction. In order to promote the development of deep-sea wind power, relevant cost recovery mechanisms must be found. This paper proposes a system cost allocation method based on the comparative difference method and load similarity with consideration of the transformation and operation costs of thermal power, demand side response and energy storage, a cost allocation method based on carbon trading and green certificate trading income is proposed, and a time sequence optimization operation simulation model is established to maximize deep sea wind power income. A case study is proposed on a 300MW deep sea wind farm, the results show that the cost allocation method and cost allocation model proposed in this paper have a significant effect on wind power cost recovery, the effectiveness of the proposed method and model is verified.

Keywords: deep sea wind power, Carbon trading, Green certificate trading, Life cycle economy, Cost Allocation

Received: 22 Jan 2024; Accepted: 29 Apr 2024.

Copyright: © 2024 Xue, Niu, Chen, Wu and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Guiyuan Xue, Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co., LTD., Nanjing, China