A multi-period MILP model for the investment and design planning of a national-level complex renewable energy supply system

A multi-period MILP model for the investment and design planning of a national-level complex renewable energy supply system
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DOI:
10.1016/j.renene.2019.04.017
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发表时间:
2019-10
期刊:
影响因子:
8.7
通讯作者:
S. Han;Jiyong Kim
S. Han;Jiyong Kim
中科院分区:
工程技术1区
文献类型:
--
作者:
S. Han;Jiyong Kim

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本研究提出了一个全面的方法来规划和分析战略投资的综合可再生能源为基础的能源供应系统的设计。最初,以可再生能源为基础的能源供应体系上层结构产生,其中包括1)不同的能源(风能,太阳能和生物质),2)各种能源设施(用于生产,储存和运输),3)三种最终能源需求(电力,氢气和液体燃料)。网络优化模型,然后使用混合整数线性规划开发。优化模型被用来确定投资时机和分配给基本的能源供应系统,其中包括类型和数量的利用可再生能源,除了安装的时间,数量和位置和安装的能源设施。通过对未来韩国的案例研究,验证了所提出的方法的能力。因此,我们确定了一个复杂的可再生能源供应系统,这是由区域资源潜力和所涉及的技术的成本效益的最佳配置和投资时机。案例研究的结果可以作为一个指导方针,以支持能源行业的利益相关者和政府决策者在可持续能源系统的战略规划的决策。
This study presents a comprehensive approach to plan and analyze strategic investment for the design of an integrated renewable energy source-based energy supply system. Initially, the renewable energy source-based energy supply system superstructure was generated, which included 1) different energy sources (wind, solar, and biomass), 2) various energy facilities (for production, storage, and transportation), and 3) three types of final energy demand (electricity, hydrogen, and liquid fuel). A network optimization model was then developed using a mixed integer linear programming. The optimization model was used to determine the investment timing and allocation to the underlying energy supply system, which includes the type and quantity of utilized renewable sources, in addition to the timing of installation, number and location and of energy facilities installed. The capability of the proposed approach is validated through a case study of future Korea. As a result, we identified the optimal configuration and the investment timing of a complex renewable energy supply system, which was determined by regional resource potentials and cost-effectiveness of the involved technologies. The case study results can be used as a guideline to support decision-making of energy industry stakeholders and government policymakers in the strategic planning of a sustainable energy system.