Predicting annual heating energy use using BIM: A simplified method for early design phase

Marie-France Stendal; Marie-Claude Dubois

doi:10.1201/9781003354222-40

Predicting annual heating energy use using BIM: A simplified method for early design phase

Marie-France Stendal, Marie-Claude Dubois

Division of Energy and Building Design

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

Building information modeling (BIM) and building energy modeling (BEM) are two key tools to make the transition to net-zero energy buildings (NZEB). However, a recent literature review indicated that the conversion from BIM to BEM is currently dysfunctional, due to limitations regarding competencies, processes, and technology. In this article, a case study is presented to show how the information in the BIM model can be used to calculate the annual heating energy use (kWh/m², year) using the simple degree-day method and extracting building envelope surfaces, heated floor area, and heated volume in the BIM model. The proposed method is for very early design phase (EDP) when architects are starting to determine the general building shape, window sizes, etc. This case study is a residential building called Eskilshem, located in Södermanland, Sweden (latitude 59.4^◦ N, longitude 16.5^◦ E) designed by White arkitekter in 2020. This article presents the workflow and equations embedded in BIM to obtain annual heat energy demand at EDP.

Original language	English
Title of host publication	eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022
Editors	Eilif Hjelseth, Sujesh F. Sujan, Raimar J. Scherer
Publisher	CRC Press/Balkema
Pages	311-318
Number of pages	8
ISBN (Print)	9781032406732
DOIs	https://doi.org/10.1201/9781003354222-40
Publication status	Published - 2023
Event	14th European Conference on Product and Process Modelling, ECPPM 2022 - Trondheim, Norway Duration: 2022 Sept 14 → 2022 Sept 16

Conference

Conference	14th European Conference on Product and Process Modelling, ECPPM 2022
Country/Territory	Norway
City	Trondheim
Period	2022/09/14 → 2022/09/16

Subject classification (UKÄ)

Building Technologies

Access to Document

10.1201/9781003354222-40

Cite this

Stendal, M.-F., & Dubois, M.-C. (2023). Predicting annual heating energy use using BIM: A simplified method for early design phase. In E. Hjelseth, S. F. Sujan, & R. J. Scherer (Eds.), eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022 (pp. 311-318). CRC Press/Balkema. https://doi.org/10.1201/9781003354222-40

Stendal, Marie-France ; Dubois, Marie-Claude. / Predicting annual heating energy use using BIM : A simplified method for early design phase. eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022. editor / Eilif Hjelseth ; Sujesh F. Sujan ; Raimar J. Scherer. CRC Press/Balkema, 2023. pp. 311-318

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title = "Predicting annual heating energy use using BIM: A simplified method for early design phase",

abstract = "Building information modeling (BIM) and building energy modeling (BEM) are two key tools to make the transition to net-zero energy buildings (NZEB). However, a recent literature review indicated that the conversion from BIM to BEM is currently dysfunctional, due to limitations regarding competencies, processes, and technology. In this article, a case study is presented to show how the information in the BIM model can be used to calculate the annual heating energy use (kWh/m2, year) using the simple degree-day method and extracting building envelope surfaces, heated floor area, and heated volume in the BIM model. The proposed method is for very early design phase (EDP) when architects are starting to determine the general building shape, window sizes, etc. This case study is a residential building called Eskilshem, located in S{\"o}dermanland, Sweden (latitude 59.4◦ N, longitude 16.5◦ E) designed by White arkitekter in 2020. This article presents the workflow and equations embedded in BIM to obtain annual heat energy demand at EDP.",

author = "Marie-France Stendal and Marie-Claude Dubois",

year = "2023",

doi = "10.1201/9781003354222-40",

language = "English",

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pages = "311--318",

editor = "Eilif Hjelseth and Sujan, {Sujesh F.} and Scherer, {Raimar J.}",

booktitle = "eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022",

publisher = "CRC Press/Balkema",

note = "14th European Conference on Product and Process Modelling, ECPPM 2022 ; Conference date: 14-09-2022 Through 16-09-2022",

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Stendal, M-F & Dubois, M-C 2023, Predicting annual heating energy use using BIM: A simplified method for early design phase. in E Hjelseth, SF Sujan & RJ Scherer (eds), eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022. CRC Press/Balkema, pp. 311-318, 14th European Conference on Product and Process Modelling, ECPPM 2022, Trondheim, Norway, 2022/09/14. https://doi.org/10.1201/9781003354222-40

Predicting annual heating energy use using BIM: A simplified method for early design phase. / Stendal, Marie-France; Dubois, Marie-Claude.
eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022. ed. / Eilif Hjelseth; Sujesh F. Sujan; Raimar J. Scherer. CRC Press/Balkema, 2023. p. 311-318.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Predicting annual heating energy use using BIM

T2 - 14th European Conference on Product and Process Modelling, ECPPM 2022

AU - Stendal, Marie-France

AU - Dubois, Marie-Claude

PY - 2023

Y1 - 2023

N2 - Building information modeling (BIM) and building energy modeling (BEM) are two key tools to make the transition to net-zero energy buildings (NZEB). However, a recent literature review indicated that the conversion from BIM to BEM is currently dysfunctional, due to limitations regarding competencies, processes, and technology. In this article, a case study is presented to show how the information in the BIM model can be used to calculate the annual heating energy use (kWh/m2, year) using the simple degree-day method and extracting building envelope surfaces, heated floor area, and heated volume in the BIM model. The proposed method is for very early design phase (EDP) when architects are starting to determine the general building shape, window sizes, etc. This case study is a residential building called Eskilshem, located in Södermanland, Sweden (latitude 59.4◦ N, longitude 16.5◦ E) designed by White arkitekter in 2020. This article presents the workflow and equations embedded in BIM to obtain annual heat energy demand at EDP.

AB - Building information modeling (BIM) and building energy modeling (BEM) are two key tools to make the transition to net-zero energy buildings (NZEB). However, a recent literature review indicated that the conversion from BIM to BEM is currently dysfunctional, due to limitations regarding competencies, processes, and technology. In this article, a case study is presented to show how the information in the BIM model can be used to calculate the annual heating energy use (kWh/m2, year) using the simple degree-day method and extracting building envelope surfaces, heated floor area, and heated volume in the BIM model. The proposed method is for very early design phase (EDP) when architects are starting to determine the general building shape, window sizes, etc. This case study is a residential building called Eskilshem, located in Södermanland, Sweden (latitude 59.4◦ N, longitude 16.5◦ E) designed by White arkitekter in 2020. This article presents the workflow and equations embedded in BIM to obtain annual heat energy demand at EDP.

U2 - 10.1201/9781003354222-40

DO - 10.1201/9781003354222-40

M3 - Paper in conference proceeding

AN - SCOPUS:85160435408

SN - 9781032406732

SP - 311

EP - 318

BT - eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022

A2 - Hjelseth, Eilif

A2 - Sujan, Sujesh F.

A2 - Scherer, Raimar J.

PB - CRC Press/Balkema

Y2 - 14 September 2022 through 16 September 2022

ER -

Stendal MF, Dubois MC. Predicting annual heating energy use using BIM: A simplified method for early design phase. In Hjelseth E, Sujan SF, Scherer RJ, editors, eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 14th European Conference on Product and Process Modelling, ECPPM 2022. CRC Press/Balkema. 2023. p. 311-318 doi: 10.1201/9781003354222-40

Predicting annual heating energy use using BIM: A simplified method for early design phase

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