Optimization of Campus Distributed Energy System Based on Multi-Criteria Decision-Making: A Case Study of Kitakyushu Science and Research Park
多基準意思決定に基づくキャンパス分散型エネルギーシステムの最適化：北九州学術研究都市の事例研究 (AI 翻訳)
Yi Yu, Weijun Gao
🤖 gxceed AI 要約
日本語
本研究は、北九州学術研究都市の20年間の運用データに基づき、分散型エネルギーシステムの炭素排出原単位が108%増加したことを診断。AHP-TOPSIS法を用いて、PV、蓄電池、スマートマイクログリッドなどの技術を評価し、PV+蓄電池+スマートマイクログリッドの3技術統合が最適であることを示した。短期的なPV+蓄電池導入から長期的な水素・バイオエネルギー導入までの段階的ロードマップを提案している。
English
This study diagnoses a 108% increase in carbon emission intensity at Kitakyushu Science and Research Park using 20 years of operational data. Applying AHP-TOPSIS, it evaluates technologies including PV, storage, and smart microgrids, finding that a three-technology integration of PV + Storage + Smart Microgrid is most effective. A phased roadmap from short-term PV+storage to long-term bioenergy and hydrogen is proposed.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のキャンパス脱炭素化の実証事例として、SSBJや有報での気候関連開示における具体的な削減計画策定に活用可能。AHP-TOPSISの枠組みは再現性が高く、他大学や事業所への展開が期待される。
In the global GX context
This case study provides a transparent MCDM framework for campus decarbonization, relevant to global climate disclosure (e.g., TCFD, ISSB) where entities must demonstrate credible transition plans. The phased roadmap offers a replicable model for other campuses and districts.
👥 読者別の含意
🔬研究者:Provides a validated AHP-TOPSIS framework with synergy evaluation for campus energy system optimization.
🏢実務担当者:Offers a practical phased roadmap for campus decarbonization, including technology combinations and policy compatibility.
🏛政策担当者:Demonstrates the importance of system-level coordination and long-term planning for district-scale energy transitions.
📄 Abstract（原文）
Universities are key actors in the global pathway to carbon neutrality due to their diverse energy demands and innovation capacity. Based on the author’s previous study using twenty years of operational data (2002–2021), the distributed energy system (DES) at Kitakyushu Science and Research Park (KSRP), Japan, was found to exhibit a significant increase in carbon emission intensity from 0.12 to 0.25 tCO₂/GJ (+108%), primarily driven by equipment degradation and declining renewable penetration. Building on this diagnosis, this study aims to identify optimal improvement pathways by applying a hybrid multi-criteria decision-making (MCDM) framework combining Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Four criteria—emission reduction, economic efficiency, technological maturity, and policy compatibility— are used to evaluate multiple technologies and their combinations. The results show that photovoltaic (PV) systems rank highest among single technologies, while PV +storage achieves the best performance among two-technology systems, and a three-technology integration of PV + Storage + Smart Microgrid demonstrates the highest overall effectiveness, highlighting the importance of system-level coordination. Based on these findings, a phased roadmap is proposed, including short-term deployment of PV + Storage, medium-term integration of GSHP and microgrids, and long-term adoption of bioenergy and hydrogen. This study provides a transparent and reproducible AHP–TOPSIS framework with synergy evaluation and offers practical guidance for campus decarbonization.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.21625/resourceedings.v6i1.1273first seen 2026-05-05 19:11:51
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