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Solar Performance Metrics in Urban Planning : A Review and Taxonomy

Czachura, Agnieszka LU ; Kanters, Jouri LU ; Gentile, Niko LU and Wall, Maria LU (2022) In Buildings 12(4).
Abstract
Metrics are instrumental in design assessments. Solar performance metrics help designers to evaluate solar access in cities. Metrics should be used early in the urban planning stages in order to enable sustainable urban development with greater access to solar energy. Currently, solar assessments at this design stage are limited in practice; established methods or routines are lacking, and so are suitable metrics. This paper reviews the relevant literature to provide a critical overview of solar metrics commonly used in building performance assessments. The review defines key metric formulation principles—valuation, time constraint, and normalisation—which should be considered when designing a performance indicator. A new taxonomy of solar... (More)
Metrics are instrumental in design assessments. Solar performance metrics help designers to evaluate solar access in cities. Metrics should be used early in the urban planning stages in order to enable sustainable urban development with greater access to solar energy. Currently, solar assessments at this design stage are limited in practice; established methods or routines are lacking, and so are suitable metrics. This paper reviews the relevant literature to provide a critical overview of solar metrics commonly used in building performance assessments. The review defines key metric formulation principles—valuation, time constraint, and normalisation—which should be considered when designing a performance indicator. A new taxonomy of solar performance metrics is provided. Metric definitions, suitability, and limitations are discussed. The findings highlight
the need for reliable, low-complexity metrics and adequate methods for early solar assessments for urban planning. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
solar access, daylight access, passive solar, active solar, urban planning, taxonomy
in
Buildings
volume
12
issue
4
article number
393
pages
22 pages
publisher
MDPI AG
external identifiers
  • scopus:85127769918
ISSN
2075-5309
DOI
10.3390/buildings12040393
project
IEA SHC Task 63 Solar Neighborhood Planning
language
English
LU publication?
yes
id
393aafd0-d787-4f07-a913-60483785e7ad
date added to LUP
2022-03-23 09:09:54
date last changed
2023-01-09 07:47:03
@article{393aafd0-d787-4f07-a913-60483785e7ad,
  abstract     = {{Metrics are instrumental in design assessments. Solar performance metrics help designers to evaluate solar access in cities. Metrics should be used early in the urban planning stages in order to enable sustainable urban development with greater access to solar energy. Currently, solar assessments at this design stage are limited in practice; established methods or routines are lacking, and so are suitable metrics. This paper reviews the relevant literature to provide a critical overview of solar metrics commonly used in building performance assessments. The review defines key metric formulation principles—valuation, time constraint, and normalisation—which should be considered when designing a performance indicator. A new taxonomy of solar performance metrics is provided. Metric definitions, suitability, and limitations are discussed. The findings highlight<br/>the need for reliable, low-complexity metrics and adequate methods for early solar assessments for urban planning.}},
  author       = {{Czachura, Agnieszka and Kanters, Jouri and Gentile, Niko and Wall, Maria}},
  issn         = {{2075-5309}},
  keywords     = {{solar access; daylight access; passive solar; active solar; urban planning; taxonomy}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  series       = {{Buildings}},
  title        = {{Solar Performance Metrics in Urban Planning : A Review and Taxonomy}},
  url          = {{http://dx.doi.org/10.3390/buildings12040393}},
  doi          = {{10.3390/buildings12040393}},
  volume       = {{12}},
  year         = {{2022}},
}