Building stock energy modeling to assess annual progress in stock energy efficiency and carbon emission reduction of commercial buildings

Yamaguchi, Yohei; Zhang, Xukang; Nishijima, Takumi; Hayashi, Yu; Uchida, Hideaki; Shimoda, Yoshiyuki

doi:https://doi.org/10.1016/j.enbuild.2024.114909

Building stock energy modeling to assess annual progress in stock energy efficiency and carbon emission reduction of commercial buildings

Yamaguchi, Yohei; Zhang, Xukang; Nishijima, Takumi et al.

Energy and Buildings, 2024, 324, 114909

アクセス数:672件（2025-08-28 11:21 集計）

固定URL: https://hdl.handle.net/11094/98592

閲覧可能ファイル

ファイル	フォーマット	利用条件	サイズ	閲覧回数	利用開始日	説明	information
EnergyBuild_324_114909	pdf	なし	1.79 MB	370	2024.12.13

Creative Commons : 表示

論文情報

ファイル出力 EndNote Basic出力 Mendeley出力

タイトル	Building stock energy modeling to assess annual progress in stock energy efficiency and carbon emission reduction of commercial buildings
著者	NRID 1000040448098 1000040448098 ORCID 0000-0001-6794-5939 0000-0001-6794-5939 researchmap permalink read0140668 read0140668 Scopus Author ID 8638124400 8638124400 著者名 Yamaguchi, Yohei
	著者名 Zhang, Xukang
	著者名 Nishijima, Takumi
	著者名 Hayashi, Yu
	NRID 1000090837387 1000090837387 researchmap permalink hideaki_uchida hideaki_uchida Scopus Author ID 57195614241 57195614241 ORCID 0009-0004-1515-9062 0009-0004-1515-9062 著者名 Uchida, Hideaki
	NRID 1000020226278 1000020226278 ORCID 0000-0002-4487-0089 0000-0002-4487-0089 researchmap permalink read0014119 read0014119 Scopus Author ID 15081121700 15081121700 著者名 Shimoda, Yoshiyuki
キーワード等	Building stock energy modeling
	Carbon dioxide emission reduction
	Climate change mitigation
	Commercial building
	Energy conservation measure
内容	Yamaguchi Y., Zhang X., Nishijima T., et al. Building stock energy modeling to assess annual progress in stock energy efficiency and carbon emission reduction of commercial buildings. Energy and Buildings 324, 114909 (2024); https://doi.org/10.1016/j.enbuild.2024.114909.
抄録	Short-term progress assessments of carbon dioxide emission reductions are essential for nations to meet their medium/long-term targets. Bottom-up building stock energy modeling (BSEM) methods can contribute to this issue but have not been applied because of the need to represent short-term building stock dynamics in building systems and energy conservation measures (ECMs). To fill this gap, this study developed a BSEM framework that integrates top-down building stock decomposition, including building systems and ECMs, and bottom-up physics-based energy demand quantification using reference building models representing building stock segments. The framework was verified through a case study of a Japanese commercial building stock. The results indicate that the developed model effectively captures the short-term dynamics and contributions of the technologies. Although there are significant errors in estimating some building subsectors and end uses, the model predicts the changes in the aggregated energy consumption with acceptable accuracy. The Japanese 2030 emission reduction target cannot be achieved with the current technology deployment trends; however, the shortfall can be addressed by applying additional measures. Owing to its applicability to diverse building stocks, the framework promotes the use of BSEM for policy assessment and evidence-based policymaking for climate change mitigation.
出版者	Elsevier Ltd
収録物名	Energy and Buildings
巻(号)	324
ページ	114909
刊行年月	2024-12-01
言語	英語
ハンドルURL	https://hdl.handle.net/11094/98592
PISSN	03787788
関連情報 (isIdenticalTo)	DOI (出版社版) https://doi.org/10.1016/j.enbuild.2024.114909
アクセス権	open access
権利情報	This article is licensed under a Creative Commons Attribution 4.0 International License.
出版タイプ	Version of Record
カテゴリ	学術雑誌論文 Journal Article

資源タイプ	学術雑誌論文
ローカル資源タイプ	学術雑誌論文
DCTERMS.bibliographicCitation	Energy and Buildings. 2024, 324, p. 114909
DC.title	Building stock energy modeling to assess annual progress in stock energy efficiency and carbon emission reduction of commercial buildings
DC.creator	Yamaguchi, Yohei
	Zhang, Xukang
	Nishijima, Takumi
	Hayashi, Yu
	Uchida, Hideaki
	Shimoda, Yoshiyuki
DC.publisher	Elsevier Ltd
DC.language' scheme='DCTERMS.RFC1766	英語
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-12-01
DC.identifier	https://doi.org/10.1016/j.enbuild.2024.114909
DC.subject	Building stock energy modeling
	Carbon dioxide emission reduction
	Climate change mitigation
	Commercial building
	Energy conservation measure
DC.description	Yamaguchi Y., Zhang X., Nishijima T., et al. Building stock energy modeling to assess annual progress in stock energy efficiency and carbon emission reduction of commercial buildings. Energy and Buildings 324, 114909 (2024); https://doi.org/10.1016/j.enbuild.2024.114909.
DCTERMS.abstract	Short-term progress assessments of carbon dioxide emission reductions are essential for nations to meet their medium/long-term targets. Bottom-up building stock energy modeling (BSEM) methods can contribute to this issue but have not been applied because of the need to represent short-term building stock dynamics in building systems and energy conservation measures (ECMs). To fill this gap, this study developed a BSEM framework that integrates top-down building stock decomposition, including building systems and ECMs, and bottom-up physics-based energy demand quantification using reference building models representing building stock segments. The framework was verified through a case study of a Japanese commercial building stock. The results indicate that the developed model effectively captures the short-term dynamics and contributions of the technologies. Although there are significant errors in estimating some building subsectors and end uses, the model predicts the changes in the aggregated energy consumption with acceptable accuracy. The Japanese 2030 emission reduction target cannot be achieved with the current technology deployment trends; however, the shortfall can be addressed by applying additional measures. Owing to its applicability to diverse building stocks, the framework promotes the use of BSEM for policy assessment and evidence-based policymaking for climate change mitigation.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	98592
citation_title	Building stock energy modeling to assess annual progress in stock energy efficiency and carbon emission reduction of commercial buildings
citation_author	Yamaguchi, Yohei
	Zhang, Xukang
	Nishijima, Takumi
	Hayashi, Yu
	Uchida, Hideaki
	Shimoda, Yoshiyuki
citation_publisher	Elsevier Ltd
citation_language	英語
citation_date	2024-12-01
citation_journal_title	Energy and Buildings
citation_volume	324
citation_firstpage	114909
citation_doi	https://doi.org/10.1016/j.enbuild.2024.114909
citation_public_url	https://hdl.handle.net/11094/98592

Building stock energy modeling to assess annual progress in stock energy efficiency and carbon emission reduction of commercial buildings

閲覧可能ファイル

論文情報

論文詳細を表示