Overcoming the current shortcomings of tools to estimate building energy retrofitting performance

Julia Kantorovitch; Lotta Kannari; Kalevi Piira; Jouko Piippo; Henna Hukari

doi:10.1016/B978-0-443-23974-8.00008-8

Overcoming the current shortcomings of tools to estimate building energy retrofitting performance

Julia Kantorovitch
, Lotta Kannari
, Kalevi Piira
, Jouko Piippo
, Henna Hukari

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

Abstract

Identifying the best energy retrofitting option can be a challenging task for the building owner. While a lot of detailed simulation tools exist that can provide accurate calculations about the building energy consumption for the retrofitting comparison, the usability and complexity of these tools limit the usage for proficient building modelers, and the active working time required reduces even from them the possible number of retrofitting options that can be calculated. By simplifying the manual work and providing automated model calibration and generation processes, the results can be offered to a wider audience or even scanned through the most effective cases from a large building stock. We describe here BEYOND—an advanced retrofitting decision support tool that utilizes simple and automated workflow, keeping the results still accurate and transparent by utilizing building performance-measured data.

Original language	English
Title of host publication	Cost-Effective Energy-Efficient Methods for Refurbishment and Retrofitting of Buildings
Subtitle of host publication	Materials, Technologies, Optimization, and Case Studies
Publisher	Woodhead Publishing
Chapter	9
Pages	217-234
Number of pages	18
ISBN (Electronic)	9780443239748
ISBN (Print)	9780443239755
DOIs	https://doi.org/10.1016/B978-0-443-23974-8.00008-8
Publication status	Published - 31 Jan 2025
MoE publication type	A3 Part of a book or another research book

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Automated model calibration
Energy consumption prediction
Energy efficient buildings
Retrofitting design

Access to Document

10.1016/B978-0-443-23974-8.00008-8

Cite this

Kantorovitch, J., Kannari, L., Piira, K., Piippo, J., & Hukari, H. (2025). Overcoming the current shortcomings of tools to estimate building energy retrofitting performance. In Cost-Effective Energy-Efficient Methods for Refurbishment and Retrofitting of Buildings: Materials, Technologies, Optimization, and Case Studies (pp. 217-234). Woodhead Publishing. https://doi.org/10.1016/B978-0-443-23974-8.00008-8

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Kantorovitch, J, Kannari, L, Piira, K, Piippo, J & Hukari, H 2025, Overcoming the current shortcomings of tools to estimate building energy retrofitting performance. in Cost-Effective Energy-Efficient Methods for Refurbishment and Retrofitting of Buildings: Materials, Technologies, Optimization, and Case Studies. Woodhead Publishing, pp. 217-234. https://doi.org/10.1016/B978-0-443-23974-8.00008-8

Overcoming the current shortcomings of tools to estimate building energy retrofitting performance. / Kantorovitch, Julia; Kannari, Lotta; Piira, Kalevi et al.
Cost-Effective Energy-Efficient Methods for Refurbishment and Retrofitting of Buildings: Materials, Technologies, Optimization, and Case Studies. Woodhead Publishing, 2025. p. 217-234.

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

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AU - Kannari, Lotta

AU - Piira, Kalevi

AU - Piippo, Jouko

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PY - 2025/1/31

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N2 - Identifying the best energy retrofitting option can be a challenging task for the building owner. While a lot of detailed simulation tools exist that can provide accurate calculations about the building energy consumption for the retrofitting comparison, the usability and complexity of these tools limit the usage for proficient building modelers, and the active working time required reduces even from them the possible number of retrofitting options that can be calculated. By simplifying the manual work and providing automated model calibration and generation processes, the results can be offered to a wider audience or even scanned through the most effective cases from a large building stock. We describe here BEYOND—an advanced retrofitting decision support tool that utilizes simple and automated workflow, keeping the results still accurate and transparent by utilizing building performance-measured data.

AB - Identifying the best energy retrofitting option can be a challenging task for the building owner. While a lot of detailed simulation tools exist that can provide accurate calculations about the building energy consumption for the retrofitting comparison, the usability and complexity of these tools limit the usage for proficient building modelers, and the active working time required reduces even from them the possible number of retrofitting options that can be calculated. By simplifying the manual work and providing automated model calibration and generation processes, the results can be offered to a wider audience or even scanned through the most effective cases from a large building stock. We describe here BEYOND—an advanced retrofitting decision support tool that utilizes simple and automated workflow, keeping the results still accurate and transparent by utilizing building performance-measured data.

KW - Automated model calibration

KW - Energy consumption prediction

KW - Energy efficient buildings

KW - Retrofitting design

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M3 - Chapter or book article

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BT - Cost-Effective Energy-Efficient Methods for Refurbishment and Retrofitting of Buildings

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ER -

Kantorovitch J, Kannari L, Piira K, Piippo J, Hukari H. Overcoming the current shortcomings of tools to estimate building energy retrofitting performance. In Cost-Effective Energy-Efficient Methods for Refurbishment and Retrofitting of Buildings: Materials, Technologies, Optimization, and Case Studies. Woodhead Publishing. 2025. p. 217-234 doi: 10.1016/B978-0-443-23974-8.00008-8

Overcoming the current shortcomings of tools to estimate building energy retrofitting performance

Abstract

UN SDGs

Keywords

Access to Document

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