ネットゼロ大学キャンパスへの道筋:システム設計とシミュレーション
Pathways towards net-zero university campuses: a systemic design and simulation (原題)
(著者不明)
🤖 gxceed AI 要約
日本語
大学キャンパスの脱炭素化を、エネルギー代替、インフラ効率、組織能力、炭素フィードバックの4要素を統合したシステムダイナミクスモデルで分析。中国の平均的キャンパスを対象に2025-2035年のシナリオを比較し、エネルギー構造調整が最大の削減効果を持つ一方、組織能力や目標厳格化は技術的展開と結びつかない限り効果が限定的であることを示した。統合的介入が単独対策より低排出を達成する。
English
This study proposes a four-in-one framework integrating energy substitution, infrastructure efficiency, organizational capacity, and carbon-feedback regulation to analyze campus decarbonization. Using a system dynamics model for a Chinese university campus, simulations from 2025 to 2035 show that energy-structure adjustment yields the largest emission reductions, while organizational changes alone have limited direct effects unless translated into technical deployment. A coordinated intervention package outperforms standalone measures, offering a quantitative tool for designing synergistic net-zero strategies.
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
日本の大学や研究機関がネットゼロ目標を掲げる中、エネルギー転換と組織能力の連携を定量化する手法は、キャンパスや事業所の脱炭素計画に示唆を与える。SSBJ開示や統合報告書での戦略策定にも応用可能。
In the global GX context
This research contributes to global campus decarbonization scholarship by providing a systems-level framework that links technical and organizational levers. It offers a replicable simulation approach for universities worldwide, complementing TCFD/ISSB-aligned transition planning with quantitative scenario analysis.
👥 読者別の含意
🔬研究者:システムダイナミクスを用いたキャンパス脱炭素の統合モデル手法を参照できる。
🏢実務担当者:大学や大規模施設の脱炭素ロードマップ策定に、技術と組織の連携を考慮したシナリオ分析を活用できる。
🏛政策担当者:教育機関のネットゼロ政策立案において、単独対策より統合的アプローチの有効性を示す根拠となる。
📄 Abstract(原文)
University campuses serve as critical testbeds for net-zero transitions, but campus decarbonization measures are often designed and assessed in isolation, with limited attention to the dynamic interactions among energy, buildings, human activities and emissions. This study aims to propose a four-in-one analytical framework that differentiates the functional roles of energy substitution, infrastructure efficiency, organizational capacity and carbon-feedback regulation in campus operational decarbonization. To explore these dynamics, an integrated system dynamics model is developed for a stylized, average-scale Chinese university campus. Scenario simulations from 2025 to 2035 compare a baseline pathway, four single-lever interventions and a coordinated intervention package. The results indicate four model-based patterns: intervention effects remain relatively close during the initial period and diverge gradually as changes accumulate; energy-structure adjustment produces the largest simulated reduction among the individual interventions, while building-efficiency improvement generates more gradual effects; changes in organizational awareness or target stringency generate limited direct effects under the current model specification unless they are translated into technical deployment and implementation capacity; and a coordinated transformation pathway shows lower simulated emissions than standalone measures by linking technical interventions with organizational capacity and feedback mechanisms. This work provides both a holistic analytical framework and a quantitative simulation tool to support universities in designing synergistic, evidence-based strategies for achieving robust and sustainable net-zero futures.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1108/ijshe-01-2026-0146first seen 2026-09-09 05:23:56 · last seen 2026-09-22 04:56:43
- scopus https://api.elsevier.com/content/abstract/scopus_id/105050563528first seen 2026-09-22 05:26:06
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