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Techno-economic comparison of low-carbon heating solutions and building retrofit using CATHeaPS-FatCat: a case study for two urban neighbourhoods in Glasgow

低炭素暖房ソリューションと建物改修の技術経済比較：CATHeaPS-FatCatを用いたグラスゴー市内の2つの都市近隣地域のケーススタディ (AI 翻訳)

Nicola Tait, Orestis Angelidis, Daniel Friedrich, Gioia Falcone

Energy and Buildings📚 査読済 / ジャーナル2026-07-01#エネルギー転換Origin: Global経営インパクト: コスト削減対象セクター: real_estate
DOI: 10.1016/j.enbuild.2026.117970
原典: https://doi.org/10.1016/j.enbuild.2026.117970

🤖 gxceed AI 要約

日本語

本研究は、空気熱源ヒートポンプ、ガスボイラー、地域暖房などの低炭素暖房ソリューションと建物改修を比較するツールCATHeaPS-FatCatを開発した。グラスゴーの2地区への適用結果から、最適な戦略は地域特性に依存し、改修は必ずしも費用対効果が高くないことが示された。オープンデータ（EPC、UPRN）を活用した再現可能なフレームワークを提供している。

English

This study develops CATHeaPS-FatCat, a tool comparing low-carbon heating solutions (heat pumps, gas boilers, district heating) and building retrofit. Applied to two Glasgow neighborhoods, it shows optimal strategy depends on local characteristics and retrofit is not always cost-effective. It provides a replicable framework using open data (EPC, UPRN) for early-stage heat decarbonization planning.

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

本論文は英国グラスゴーの事例だが、オープンデータを活用した建物熱脱炭素計画の枠組みは、日本でも自治体やコミュニティが類似の検討を行う際に参考になる。特に、地域特性に応じた最適解の選択や改修の費用対効果評価は、日本の住宅・建築物の脱炭素政策（ZEH・ZEB等）の実装において重要な示唆を与える。

In the global GX context

This paper provides a practical framework for using open-access building data (EPC, UPRN) to compare heat decarbonization options at neighborhood scale. It highlights the importance of local context and cost-effectiveness of retrofit, relevant to global efforts in building decarbonization planning. The methodology is transferable to other countries, supporting net-zero targets.

👥 読者別の含意

🔬研究者:The study presents a replicable methodology for heat decarbonization planning that can be adapted and enhanced for other regions.

🏢実務担当者:Local authorities and community planners can use the CATHeaPS-FatCat tool or similar approaches to evaluate heating and retrofit strategies for their areas using open data.

🏛政策担当者:The findings underscore that uniform policies may be suboptimal; localized planning and cost-benefit analysis are crucial for effective heat decarbonization.

📄 Abstract（原文）

Heating buildings accounts for half of Scotland's energy consumption and over 20% of the country's greenhouse gas emissions. A transformation in the way buildings are heated is required to reach net zero targets. Literature reveals an absence of techno-economic-environmental models that can compare alternative heat decarbonisation solutions for a given area without extensive user input. This study investigates how open-access Energy Performance Certificate (EPC) and Unique Property Reference Number (UPRN) datasets can be used to support early-stage heat and retrofit planning though a user-friendly tool suitable for communities, local authorities, and government. The existing Centralised Analysis Tool for Heat Pump Systems (CATHeaPS-Kitten) is enhanced, integrating EPC and UPRN data, non-linear network routing, and modelling of pre- and post-retrofit scenarios, giving rise to CATHeaPS-FatCat. This third iteration of the model provides more accurate estimates of network costs and pipework requirements than conventional density-based averages as well as expanding heating-and-retrofit-system modelling capabilities. CATHeaPS-FatCat is applied to two contrasting case study areas in the city of Glasgow, UK to demonstrate its use and provide a replicable framework for similar studies elsewhere. Findings show that the most appropriate low-carbon heating and retrofit strategy depends on local area characteristics. While retrofit reduces overall energy demand and carbon emissions, it is not always cost-effective. Assessing retrofit impacts before selecting a heating solution helps avoid oversizing and unnecessary capital expenditure. Overall, the study provides stakeholders with a transparent, practical framework for using open access data in early-stage heat decarbonisation planning in line with UK policy objectives.

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