A Parametric Optimization Approach for Enviro-Economic Evaluation of Energy Renovation Strategies – A Case Study on a Congregation House in Southern Sweden
(2026) 1st Nordic Energy Informatics Academy Conference, EIA Nordic 2025 In Lecture Notes in Computer Science 16095 LNCS. p.131-146- Abstract
This study explores sustainable energy renovation strategies for a congregation building in southern Sweden using a parametric optimization approach to balance passive and active measures. Passive measures include envelope and window improvements and leakage control, while active measures involve photovoltaic integration and ventilation enhancements. The renovation aims to optimize energy use, thermal comfort, indoor air quality (IAQ), life cycle cost (LCC), and life cycle assessment (LCA). However, individual measures often conflict with other objectives. By integrating the optimization tool Opossum with ClimateStudio, which simulates energy, thermal, and photovoltaic panels (PV) performance, along with programmed LCC and LCA... (More)
This study explores sustainable energy renovation strategies for a congregation building in southern Sweden using a parametric optimization approach to balance passive and active measures. Passive measures include envelope and window improvements and leakage control, while active measures involve photovoltaic integration and ventilation enhancements. The renovation aims to optimize energy use, thermal comfort, indoor air quality (IAQ), life cycle cost (LCC), and life cycle assessment (LCA). However, individual measures often conflict with other objectives. By integrating the optimization tool Opossum with ClimateStudio, which simulates energy, thermal, and photovoltaic panels (PV) performance, along with programmed LCC and LCA calculations, the study identifies optimal solutions. Results indicate a 24% energy reduction, 23% lower LCC, and 47% less CO₂ emissions without changing the existing ventilation system, though IAQ and comfort remain inadequate. With new ventilation, energy use increases, LCC rises by 53%, but CO₂ emissions reduce by 11%, resolving IAQ issues and improving comfort by 74%. The study acknowledges limitations due to data assumptions and simulation constraints; future work could include full building LCA and moisture assessments to enhance the findings.
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- author
- Parvaz, Md ; Þorvaldsson, Einar Örn ; Engström, Jesper ; Johansson, Dennis LU and Davidsson, Henrik LU
- organization
- publishing date
- 2026
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Energy renovation, Life cycle assessment, Life cycle costing, Parametric optimization, Photovoltaic systems
- host publication
- Energy Informatics : 1st Nordic Energy Informatics Academy Conference, EIA Nordic 2025, Proceedings - 1st Nordic Energy Informatics Academy Conference, EIA Nordic 2025, Proceedings
- series title
- Lecture Notes in Computer Science
- editor
- Martinac, Ivo ; Jørgensen, Bo Nørregaard ; Ma, Zheng Grace ; Unnþórsson, Rúnar and Bordin, Chiara
- volume
- 16095 LNCS
- pages
- 16 pages
- publisher
- Springer Science and Business Media B.V.
- conference name
- 1st Nordic Energy Informatics Academy Conference, EIA Nordic 2025
- conference location
- Stockholm, Sweden
- conference dates
- 2025-08-20 - 2025-08-22
- external identifiers
-
- scopus:105021827008
- ISSN
- 0302-9743
- 1611-3349
- ISBN
- 978-3-032-03101-3
- 9783032031006
- DOI
- 10.1007/978-3-032-03101-3_9
- language
- English
- LU publication?
- yes
- id
- 8a39340a-9544-438a-ba22-7e5612d66dbb
- date added to LUP
- 2026-02-11 11:53:27
- date last changed
- 2026-05-07 01:26:33
@inproceedings{8a39340a-9544-438a-ba22-7e5612d66dbb,
abstract = {{<p>This study explores sustainable energy renovation strategies for a congregation building in southern Sweden using a parametric optimization approach to balance passive and active measures. Passive measures include envelope and window improvements and leakage control, while active measures involve photovoltaic integration and ventilation enhancements. The renovation aims to optimize energy use, thermal comfort, indoor air quality (IAQ), life cycle cost (LCC), and life cycle assessment (LCA). However, individual measures often conflict with other objectives. By integrating the optimization tool Opossum with ClimateStudio, which simulates energy, thermal, and photovoltaic panels (PV) performance, along with programmed LCC and LCA calculations, the study identifies optimal solutions. Results indicate a 24% energy reduction, 23% lower LCC, and 47% less CO₂ emissions without changing the existing ventilation system, though IAQ and comfort remain inadequate. With new ventilation, energy use increases, LCC rises by 53%, but CO₂ emissions reduce by 11%, resolving IAQ issues and improving comfort by 74%. The study acknowledges limitations due to data assumptions and simulation constraints; future work could include full building LCA and moisture assessments to enhance the findings.</p>}},
author = {{Parvaz, Md and Þorvaldsson, Einar Örn and Engström, Jesper and Johansson, Dennis and Davidsson, Henrik}},
booktitle = {{Energy Informatics : 1st Nordic Energy Informatics Academy Conference, EIA Nordic 2025, Proceedings}},
editor = {{Martinac, Ivo and Jørgensen, Bo Nørregaard and Ma, Zheng Grace and Unnþórsson, Rúnar and Bordin, Chiara}},
isbn = {{978-3-032-03101-3}},
issn = {{0302-9743}},
keywords = {{Energy renovation; Life cycle assessment; Life cycle costing; Parametric optimization; Photovoltaic systems}},
language = {{eng}},
pages = {{131--146}},
publisher = {{Springer Science and Business Media B.V.}},
series = {{Lecture Notes in Computer Science}},
title = {{A Parametric Optimization Approach for Enviro-Economic Evaluation of Energy Renovation Strategies – A Case Study on a Congregation House in Southern Sweden}},
url = {{http://dx.doi.org/10.1007/978-3-032-03101-3_9}},
doi = {{10.1007/978-3-032-03101-3_9}},
volume = {{16095 LNCS}},
year = {{2026}},
}