Integrated Energy and Environmental Modeling to Design Cost-Effective Building Solutions at a Regional Level

This study introduces a computationally efficient urban building energy model (UBEM) to assess decarbonization strategies for the residential sector at the regional level. The model considers a range of inputs, including building characteristics, climate data, technology penetration, and occupant be...

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Main Authors: Mariana Januário, Ricardo Gomes, Patrícia Baptista, Paulo Ferrão
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/17/22/5730
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author Mariana Januário
Ricardo Gomes
Patrícia Baptista
Paulo Ferrão
author_facet Mariana Januário
Ricardo Gomes
Patrícia Baptista
Paulo Ferrão
author_sort Mariana Januário
collection DOAJ
description This study introduces a computationally efficient urban building energy model (UBEM) to assess decarbonization strategies for the residential sector at the regional level. The model considers a range of inputs, including building characteristics, climate data, technology penetration, and occupant behavior. The model provides an economic analysis associating emission reduction potential with economic returns through an abatement cost curve, which is critical to designing cost-effective solutions. The model was validated at its full scale in Portugal, using actual consumption data from all municipalities. Key findings showed that lighting upgrades (100% LEDs) are the most cost-effective measure, offering the lowest abatement cost (−521 EUR/tonCO<sub>2</sub>eq) and a low discounted payback period of 2 years, while heat pumps for water heating provide the highest emission reduction potential, with an annual reduction of 863 tonnes of CO<sub>2</sub>eq annually, equivalent to a 20% reduction in national emissions. Additionally, behavioral measures achieved an annual reduction of 147 tonnes of CO<sub>2</sub>eq. The analysis further reveals that, while some measures might have a negative abatement cost at the national level, their economic viability varies locally, with certain municipalities incurring positive abatement costs, highlighting how local context affects the economic viability of decarbonization strategies.
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spelling doaj-art-49dbd7a0ea8d4fe19c28b49c1bae68ef2024-11-26T18:02:32ZengMDPI AGEnergies1996-10732024-11-011722573010.3390/en17225730Integrated Energy and Environmental Modeling to Design Cost-Effective Building Solutions at a Regional LevelMariana Januário0Ricardo Gomes1Patrícia Baptista2Paulo Ferrão3IN+, Centre for Innovation, Technology and Policy Research, LARSyS—Laboratory for Robotics and Engineering Systems, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, PortugalIN+, Centre for Innovation, Technology and Policy Research, LARSyS—Laboratory for Robotics and Engineering Systems, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, PortugalIN+, Centre for Innovation, Technology and Policy Research, LARSyS—Laboratory for Robotics and Engineering Systems, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, PortugalIN+, Centre for Innovation, Technology and Policy Research, LARSyS—Laboratory for Robotics and Engineering Systems, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, PortugalThis study introduces a computationally efficient urban building energy model (UBEM) to assess decarbonization strategies for the residential sector at the regional level. The model considers a range of inputs, including building characteristics, climate data, technology penetration, and occupant behavior. The model provides an economic analysis associating emission reduction potential with economic returns through an abatement cost curve, which is critical to designing cost-effective solutions. The model was validated at its full scale in Portugal, using actual consumption data from all municipalities. Key findings showed that lighting upgrades (100% LEDs) are the most cost-effective measure, offering the lowest abatement cost (−521 EUR/tonCO<sub>2</sub>eq) and a low discounted payback period of 2 years, while heat pumps for water heating provide the highest emission reduction potential, with an annual reduction of 863 tonnes of CO<sub>2</sub>eq annually, equivalent to a 20% reduction in national emissions. Additionally, behavioral measures achieved an annual reduction of 147 tonnes of CO<sub>2</sub>eq. The analysis further reveals that, while some measures might have a negative abatement cost at the national level, their economic viability varies locally, with certain municipalities incurring positive abatement costs, highlighting how local context affects the economic viability of decarbonization strategies.https://www.mdpi.com/1996-1073/17/22/5730decarbonizationresidential energy modelCO2eq emission reductionabatement cost
spellingShingle Mariana Januário
Ricardo Gomes
Patrícia Baptista
Paulo Ferrão
Integrated Energy and Environmental Modeling to Design Cost-Effective Building Solutions at a Regional Level
Energies
decarbonization
residential energy model
CO2eq emission reduction
abatement cost
title Integrated Energy and Environmental Modeling to Design Cost-Effective Building Solutions at a Regional Level
title_full Integrated Energy and Environmental Modeling to Design Cost-Effective Building Solutions at a Regional Level
title_fullStr Integrated Energy and Environmental Modeling to Design Cost-Effective Building Solutions at a Regional Level
title_full_unstemmed Integrated Energy and Environmental Modeling to Design Cost-Effective Building Solutions at a Regional Level
title_short Integrated Energy and Environmental Modeling to Design Cost-Effective Building Solutions at a Regional Level
title_sort integrated energy and environmental modeling to design cost effective building solutions at a regional level
topic decarbonization
residential energy model
CO2eq emission reduction
abatement cost
url https://www.mdpi.com/1996-1073/17/22/5730
work_keys_str_mv AT marianajanuario integratedenergyandenvironmentalmodelingtodesigncosteffectivebuildingsolutionsataregionallevel
AT ricardogomes integratedenergyandenvironmentalmodelingtodesigncosteffectivebuildingsolutionsataregionallevel
AT patriciabaptista integratedenergyandenvironmentalmodelingtodesigncosteffectivebuildingsolutionsataregionallevel
AT pauloferrao integratedenergyandenvironmentalmodelingtodesigncosteffectivebuildingsolutionsataregionallevel