Assessing strategies to decarbonise embodied carbon impacts of residential buildings in Indian cities: case of Ahmedabad
インドの都市における住宅建物の体化炭素影響を脱炭素化する戦略の評価:アーメダバードの事例 (AI 翻訳)
Chaitali Trivedi, M. Pathak, S. Dhar
🤖 gxceed AI 要約
日本語
本研究は、インドのアーメダバード市を対象に、2050年までに建設される住宅建築物のセメントと鉄鋼からの体化炭素排出削減戦略をIPCC AR6フレームワークとAIM/End-useモデルを用いて評価した。エネルギー効率・クリーン技術シナリオでセメント46%、鉄鋼60.2%の削減が可能だが、深い脱炭素化にはCCSやグリーン水素、都市・建築規制の強化が必要と結論づけた。
English
This study evaluates decarbonization strategies for embodied carbon from cement and steel in residential buildings in Ahmedabad, India, using the IPCC AR6 framework and AIM/End-use model. Results show that energy efficiency and clean technologies can achieve 46% and 60.2% CO2 reductions for cement and steel respectively, but deep decarbonization requires higher material efficiency, CCS, green hydrogen, and stricter regulations.
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
インドの事例ではあるが、セメント・鉄鋼の脱炭素化戦略(CCS、グリーン水素、材料効率)は日本の建設・素材産業のGXにも示唆を与える。SSBJやTCFD開示において、体化炭素の削減は今後重要度が増す。
In the global GX context
While focused on India, this paper's scenario analysis of embodied carbon reduction for cement and steel is globally relevant for building sector decarbonization. It aligns with ISSB/TCFD disclosure needs for Scope 3 emissions and offers strategies (material efficiency, CCS, green hydrogen) applicable to international climate commitments.
👥 読者別の含意
🔬研究者:Scenario modeling approach using AIM/End-use model and IPCC AR6 framework can be replicated for other cities or countries.
🏢実務担当者:Identifies concrete decarbonization levers for cement and steel in construction, including efficiency, CCS, and green hydrogen.
🏛政策担当者:Highlights the need for sufficiency-oriented policies, stricter building codes, and early investment in CCS/green hydrogen to meet 2050 targets.
📄 Abstract(原文)
By 2050, India’s residential housing demand is likely to reach 576 million units. The constructed floor area (CFA) and per capita floor space consumption needed to service this demand will result in increasing demand for building materials and CO2 emissions. While some progress has been made on reducing CO2 emissions from the operation stage, technological advancements and implementation to reduce buildings' "embodied" carbon emissions are still lacking momentum. This study evaluates mitigation potential and decarbonisation strategies through scenario assessment for cement and steel from residential buildings. The City of Ahmedabad is taken as a case study to assess strategies for decarbonising embodied-carbon impacts of future residential buildings to be built by 2050. Based on the Intergovernmental panel on climate change sixth assessment report (IPCC AR6) framework, four decarbonisation strategies to quantify CO₂ emissions from cement and steel have been adopted for the study. Asia-Pacific Integrated Model (AIM)/ End-use model, has been used for the study to understand and forecast the potential GHG emission reduction. Results from the study show that the Energy Efficiency and Clean Technology (EECTS) can achieve 46% CO2 emission reductions from the cement sector compared to the Reference scenario, while Circular Economy and Sufficiency Scenario (CESS) can deliver 34% can be achieved. For steel, 60.2% emission reduction from the EECTS and 48.8% from the CESS scenario can be achieved. The study concludes that attaining deep decarbonisation is feasible, but it would still necessitate higher and earlier levels of material efficiency, a scaling up of carbon capture storage (CCS) capacity, and the adoption of green hydrogen, ambitious grid decarbonisation and major advances in urban and building regulations. Furthermore, as technology alone be sufficient to decarbonize the residential building industry, the concept of sufficiency should be advanced and put into practice through knowledge and policies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://iopscience.iop.org/article/10.1088/2634-4505/ae87c7/pdffirst seen 2026-07-13 07:19:03
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。