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Making assumptions and boundary choices visible in energy transition planning: Critical systems heuristics for reflexive interdisciplinary decision structuring

エネルギートランジション計画における前提と境界選択の可視化:批判的システムヒューリスティクスによる学際的意思決定構造化 (AI 翻訳)

Alireza Maheri

Energy Research & Social Science📚 査読済 / ジャーナル2026-04-24#エネルギー転換Origin: Global
DOI: 10.1016/j.erss.2026.104722
原典: https://doi.org/10.1016/j.erss.2026.104722

🤖 gxceed AI 要約

日本語

本論文は、エネルギー転換計画における前提や境界を批判的に検討する枠組みとして、批判的システムヒューリスティクス(CSH)を提案する。北海の石油ガスプラットフォームのグリーン水素転換と、農村地域のハイブリッド再生可能エネルギー地域熱供給システムの2事例に適用し、CSHが技術主導の枠組みを超えて、参加型ガバナンスや知識統合を通じた正当性強化に寄与することを示した。

English

This paper proposes Critical Systems Heuristics (CSH) as a framework to critically examine assumptions and boundaries in energy transition planning. Applied to two cases: repurposing a North Sea oil/gas platform for green hydrogen, and a hybrid renewable district heating system for a rural community. CSH reveals narrow technocratic framings, makes marginalized perspectives visible, and strengthens legitimacy through participatory governance and broader knowledge integration.

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GX文脈では、SSBJや有報での非財務情報開示が進む中、エネルギー転換計画の前提条件や境界設定の透明性が重要になる。本論文のCSHアプローチは、日本の電力システム改革や地域エネルギー計画の策定において、関係者間の合意形成や正当性評価に活用できる可能性がある。

In the global GX context

In the global GX context, as ISSB and CSRD push for more rigorous transition planning disclosures, this paper provides a systematic method to interrogate assumptions and boundaries in decarbonization projects. It addresses a gap in current frameworks by emphasizing legitimacy and inclusivity, which is relevant for energy transition planning under TCFD-aligned disclosures and transition finance.

👥 読者別の含意

🔬研究者:Researchers in energy planning and sustainability transitions will find CSH a valuable addition to methodology for reflexively examining project framings and decision premises.

🏢実務担当者:Corporate sustainability teams involved in transition planning can use the twelve CSH questions to critically assess project assumptions and stakeholder inclusion in decarbonisation initiatives.

🏛政策担当者:Policymakers developing national or regional energy transition plans could adopt the CSH framework to ensure that planning processes consider diverse perspectives and avoid technocratic lock-in.

📄 Abstract(原文)

Energy transition requires frameworks that not only optimise technical and economic performance but also critically interrogate assumptions, boundaries, and legitimacy at the outset of project planning. The application of Critical Systems Heuristics (CSH) to energy transition planning is presented, demonstrating its value as both a diagnostic and developmental framework, and highlighting the role of upstream transition planning and problem framing alongside existing transition practice. The twelve CSH boundary questions are reformulated for the energy transition domain and applied to surface implicit framings and decision premises in two contrasting projects originally delivered outside a CSH framework: (i) the decarbonisation and repurposing of a North Sea oil and gas platform for green hydrogen production, and (ii) the design of a hybrid renewable district heating system for a rural community. By reframing these projects through the lens of CSH, divergences between current (“Is”), and explicitly justified and inclusively grounded (“Ought-to-Be”) framings are revealed, and the influence of such reframing on the definition of beneficiaries, purposes, success measures, and decision-making structures is examined. The analysis shows that CSH exposes narrow technocratic framings, makes visible marginalised perspectives, and strengthens legitimacy through participatory governance and broader knowledge integration. The enabling role and limitations of the system design optimisation and decision-support software tool used in these projects are also examined, highlighting how digital platforms can support or constrain the realisation of CSH-informed planning.

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