Design Optimization of Low Carbon Energy Network Using Multi-stage Decomposition Based on Variables and Constraints

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K04968
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 31020:Earth resource engineering, Energy sciences-related
• Research Institution: Osaka Metropolitan University (2022-2023); Osaka Prefecture University (2021)
• Principal Investigator: WAKUI TETSUYA 大阪公立大学, 大学院工学研究科, 教授 (40339750)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: エネルギーシステム / 最適化 / 分解法 / 再生可能エネルギー / 蓄エネルギー / エネルギー融通

Outline of Final Research Achievements

Optimal design problems of low-carbon energy networks, in which the electric power and heat are mainly generated from renewable energy resources and shared among multiple demands, result in mixed-integer linear programming problems. As the problem scale, represented by the number of equipment candidates and sampling times in the planning horizon, increases, it becomes difficult to find a rational feasible solution in a practical computation time and memory usage. The present study developed a near-optimal solution method for optimal design problems of low-carbon energy networks using multi-stage decomposition based on decision variables and constraints. The developed method was applied to an optimal design of a low-carbon energy network, and a design strategy from the perspective of economic benefits and energy supply autonomy.

Free Research Field

エネルギーシステム工学

Academic Significance and Societal Importance of the Research Achievements

低炭素エネルギーネットワークの最適設計問題は混合整数線形問題として表すことができるが，システム構成機器の候補数や運転性能を評価する計画区間のサンプリング時間数が増えると大規模な問題となり，高性能な商用最適化ソルバーを用いても合理的な設計解を探索することができない．本研究では，最適化問題における決定変数と制約条件の関係を利用して，複数の小規模な最適化問題に分解し，相互に問題を解くことで最適解に近い設計解を高速で探索することができる．また，この解法を用いた設計分析を行うことで低炭素エネルギーネットワークの設計指針を提示することが可能となり，脱炭素社会構築に大きく貢献できる．