Toward Improved Urban Building Energy Modeling Using a Place-Based Approach
(2023) In Energies 16(9).- Abstract
Urban building energy models present a valuable tool for promoting energy efficiency in building design and control, as well as for managing urban energy systems. However, the current models often overlook the importance of site-specific characteristics, as well as the spatial attributes and variations within a specific area of a city. This methodological paper moves beyond state-of-the-art urban building energy modeling and urban-scale energy models by incorporating an improved place-based approach to address this research gap. This approach allows for a more in-depth understanding of the interactions behind spatial patterns and an increase in the number and quality of energy-related variables. The paper outlines a detailed description... (More)
Urban building energy models present a valuable tool for promoting energy efficiency in building design and control, as well as for managing urban energy systems. However, the current models often overlook the importance of site-specific characteristics, as well as the spatial attributes and variations within a specific area of a city. This methodological paper moves beyond state-of-the-art urban building energy modeling and urban-scale energy models by incorporating an improved place-based approach to address this research gap. This approach allows for a more in-depth understanding of the interactions behind spatial patterns and an increase in the number and quality of energy-related variables. The paper outlines a detailed description of the steps required to create urban energy models and presents sample application results for each model. The pre-modeling phase is highlighted as a critical step in which the geo-database used to create the models is collected, corrected, and integrated. We also discuss the use of spatial auto-correlation within the geo-database, which introduces new spatial-temporal relationships that describe the territorial clusters of complex urban environment systems. This study identifies and redefines three primary types of urban energy modeling, including process-driven, data-driven, and hybrid models, in the context of place-based approaches. The challenges associated with each type are highlighted, with emphasis on data requirements and availability concerns. The study concludes that a place-based approach is crucial to achieving energy self-sufficiency in districts or cities in urban-scale building energy-modeling studies.
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- author
- Mutani, Guglielmina ; Vocale, Pamela and Javanroodi, Kavan LU
- organization
- publishing date
- 2023-05
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- geo-database, geographic information system, place-based approach, QGIS, sustainable cities and communities, Urban Building Energy Modeling UBEM, Urban Scale Energy Models USEM
- in
- Energies
- volume
- 16
- issue
- 9
- article number
- 3944
- publisher
- MDPI AG
- external identifiers
-
- scopus:85159269361
- ISSN
- 1996-1073
- DOI
- 10.3390/en16093944
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2023 by the authors.
- id
- 545b1afa-7e70-45b6-864e-3e38802f30a1
- date added to LUP
- 2023-05-29 13:25:46
- date last changed
- 2023-05-30 14:38:42
@article{545b1afa-7e70-45b6-864e-3e38802f30a1,
abstract = {{<p>Urban building energy models present a valuable tool for promoting energy efficiency in building design and control, as well as for managing urban energy systems. However, the current models often overlook the importance of site-specific characteristics, as well as the spatial attributes and variations within a specific area of a city. This methodological paper moves beyond state-of-the-art urban building energy modeling and urban-scale energy models by incorporating an improved place-based approach to address this research gap. This approach allows for a more in-depth understanding of the interactions behind spatial patterns and an increase in the number and quality of energy-related variables. The paper outlines a detailed description of the steps required to create urban energy models and presents sample application results for each model. The pre-modeling phase is highlighted as a critical step in which the geo-database used to create the models is collected, corrected, and integrated. We also discuss the use of spatial auto-correlation within the geo-database, which introduces new spatial-temporal relationships that describe the territorial clusters of complex urban environment systems. This study identifies and redefines three primary types of urban energy modeling, including process-driven, data-driven, and hybrid models, in the context of place-based approaches. The challenges associated with each type are highlighted, with emphasis on data requirements and availability concerns. The study concludes that a place-based approach is crucial to achieving energy self-sufficiency in districts or cities in urban-scale building energy-modeling studies.</p>}},
author = {{Mutani, Guglielmina and Vocale, Pamela and Javanroodi, Kavan}},
issn = {{1996-1073}},
keywords = {{geo-database; geographic information system; place-based approach; QGIS; sustainable cities and communities; Urban Building Energy Modeling UBEM; Urban Scale Energy Models USEM}},
language = {{eng}},
number = {{9}},
publisher = {{MDPI AG}},
series = {{Energies}},
title = {{Toward Improved Urban Building Energy Modeling Using a Place-Based Approach}},
url = {{http://dx.doi.org/10.3390/en16093944}},
doi = {{10.3390/en16093944}},
volume = {{16}},
year = {{2023}},
}