Assessment of a weather-based climate classification with building energy simulation

Giovanni Pernigotto; Andrea Gasparella; Jan L.M. Hensen

Assessment of a weather-based climate classification with building energy simulation

Giovanni Pernigotto, Andrea Gasparella, Jan L.M. Hensen

Building Performance

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In this research, we performed extensive building energy simulations to assess the representativeness of a methodology for climate clustering and representative climate identification, previously proposed by the authors and applied, as an example, to a dataset of more than 300 European climates. Descriptive and non-parametric statistics were exploited to discuss the suitability of the methodology for selecting a limited number of representative climates to run building energy performance analyses at European scale. While for the characterization of space heating performance all representative climates were found necessary for assessments at continental scale, simplifications were found applicable for space cooling.

Original language	English
Title of host publication	Building Simulation 2021
Editors	Jelle Laverge, Dirk Saelens
Place of Publication	Brugge
Publisher	International Building Performance Simulation Association (IBPSA)
Number of pages	8
Publication status	Published - 2021
Event	Building Simulation 2021 Conference - Bruges (Belgium), Bruges, Belgium Duration: 1 Sept 2021 → 3 Sept 2021 https://bs2021.org/

Conference

Conference	Building Simulation 2021 Conference
Abbreviated title	BS 2021
Country/Territory	Belgium
City	Bruges
Period	1/09/21 → 3/09/21
Internet address	https://bs2021.org/

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@inproceedings{e03b6ea04e1e4acd93e23c7929c32a43,

title = "Assessment of a weather-based climate classification with building energy simulation",

abstract = "In this research, we performed extensive building energy simulations to assess the representativeness of a methodology for climate clustering and representative climate identification, previously proposed by the authors and applied, as an example, to a dataset of more than 300 European climates. Descriptive and non-parametric statistics were exploited to discuss the suitability of the methodology for selecting a limited number of representative climates to run building energy performance analyses at European scale. While for the characterization of space heating performance all representative climates were found necessary for assessments at continental scale, simplifications were found applicable for space cooling.",

author = "Giovanni Pernigotto and Andrea Gasparella and Hensen, {Jan L.M.}",

year = "2021",

language = "English",

editor = "Jelle Laverge and Dirk Saelens",

booktitle = "Building Simulation 2021",

publisher = "International Building Performance Simulation Association (IBPSA)",

note = "Building Simulation 2021 Conference, BS 2021 ; Conference date: 01-09-2021 Through 03-09-2021",

url = "https://bs2021.org/",

}

Assessment of a weather-based climate classification with building energy simulation. / Pernigotto, Giovanni; Gasparella, Andrea; Hensen, Jan L.M.
Building Simulation 2021. ed. / Jelle Laverge; Dirk Saelens. Brugge: International Building Performance Simulation Association (IBPSA), 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Assessment of a weather-based climate classification with building energy simulation

AU - Pernigotto, Giovanni

AU - Gasparella, Andrea

AU - Hensen, Jan L.M.

PY - 2021

Y1 - 2021

N2 - In this research, we performed extensive building energy simulations to assess the representativeness of a methodology for climate clustering and representative climate identification, previously proposed by the authors and applied, as an example, to a dataset of more than 300 European climates. Descriptive and non-parametric statistics were exploited to discuss the suitability of the methodology for selecting a limited number of representative climates to run building energy performance analyses at European scale. While for the characterization of space heating performance all representative climates were found necessary for assessments at continental scale, simplifications were found applicable for space cooling.

AB - In this research, we performed extensive building energy simulations to assess the representativeness of a methodology for climate clustering and representative climate identification, previously proposed by the authors and applied, as an example, to a dataset of more than 300 European climates. Descriptive and non-parametric statistics were exploited to discuss the suitability of the methodology for selecting a limited number of representative climates to run building energy performance analyses at European scale. While for the characterization of space heating performance all representative climates were found necessary for assessments at continental scale, simplifications were found applicable for space cooling.

M3 - Conference contribution

BT - Building Simulation 2021

A2 - Laverge, Jelle

A2 - Saelens, Dirk

PB - International Building Performance Simulation Association (IBPSA)

CY - Brugge

T2 - Building Simulation 2021 Conference

Y2 - 1 September 2021 through 3 September 2021

ER -

Assessment of a weather-based climate classification with building energy simulation

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