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:662（2025-08-14 04:33 Counts）

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

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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
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