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

Number of Access:751（2025-11-25 07:41 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/98592

Link to primary information

File	Format	Terms of use	Size	Views	Date.Available	Description	information
EnergyBuild_324_114909	pdf	None	1.79 MB	401	2024.12.13

Creative Commons : Attribution

Item Information

Output File Export EndNote Basic Export Mendeley

Title	Building stock energy modeling to assess annual progress in stock energy efficiency and carbon emission reduction of commercial buildings
Creator	NRID 1000040448098 1000040448098 ORCID 0000-0001-6794-5939 0000-0001-6794-5939 researchmap permalink read0140668 read0140668 Scopus Author ID 8638124400 8638124400 CreatorName Yamaguchi, Yohei
	CreatorName Zhang, Xukang
	CreatorName Nishijima, Takumi
	CreatorName 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 CreatorName Uchida, Hideaki
	NRID 1000020226278 1000020226278 ORCID 0000-0002-4487-0089 0000-0002-4487-0089 researchmap permalink read0014119 read0014119 Scopus Author ID 15081121700 15081121700 CreatorName Shimoda, Yoshiyuki
Subject	Building stock energy modeling
	Carbon dioxide emission reduction
	Climate change mitigation
	Commercial building
	Energy conservation measure
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.
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.
Publisher	Elsevier Ltd
Source Title	Energy and Buildings
Volume (Issue)	324
Page	114909
Date of Issued	2024-12-01
Language	English
Handle URL	https://hdl.handle.net/11094/98592
PISSN	03787788
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1016/j.enbuild.2024.114909
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
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	English
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	English
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

Link to primary information

Item Information

Show details