Development of Optimization Algorithms for Innovative Design Methods of Building Equipment

2020 Fiscal Year Final Research Report

• Project/Area Number: 19K23555
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Multi-year Fund
• Review Section: 0304:Architecture, building engineering, and related fields
• Research Institution: Tokyo University of Science
• Principal Investigator: Ikeda Shintaro 東京理科大学, 工学部建築学科, 助教 (00843525)
• Project Period (FY): 2019-08-30 – 2021-03-31
• Keywords: 最適化 / メタヒューリスティクス / 建築設備設計 / 建築設備運用 / 数理最適化

Outline of Final Research Achievements

The purpose of this study is to automate the design work of building facilities by optimization using mathematical algorithms. In building equipment design, which is carried out by trial and error by designers, when considering various energy systems, the system configuration to be considered has to be limited due to the time required for work. However, when considering various energy systems, the number of system configurations to be considered must be limited due to the time required for the work. Therefore, if it is possible to automatically calculate various system combinations that meet the design conditions and present several highly evaluated combinations from among them, it will not only assist the design work but also contribute to energy conservation and CO2 reduction. The results of this research have realized significant cost savings, energy savings, and CO2 reduction compared to conventional empirical design.

Free Research Field

建築設備

Academic Significance and Societal Importance of the Research Achievements

本研究では、従来とは全く異なるアプローチの数理アルゴリズムを開発した。まず、建築設備の実機特性は非線形性を持ち、設備運転が数時間後に影響を与えるという時間的な依存性も有する。しかし従来は、大規模な最適化を実施するために線形化処理を行っていた。その上で、混合整数線形計画法と呼ばれる手法を用いて演算を行う研究が主流であった。しかし、本研究では、実現象を定式化するために非線形性を維持したまま最適化する手法として、複数のアルゴリズムを組合わせた手法を開発した。これにより、非線形性、時間依存性を考慮しつつ、大域的最適化を行うことができた。