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Proposed method for Probabilistic Energy Simulations for Multifamily Dwellings

Burke, Stephen LU ; Carling, Pär ; Davidsson, Henrik LU ; Davidsson, Kristin ; Ekström, Tomas LU ; Harderup, Lars-Erik LU ; Kronvall, Johnny LU ; Sahlin, Per ; Sundling, Rikard LU and Wiktorsson, Magnus LU (2020) 12th Nordic Symposium on Building Physics In E3S Web of Conferences 172.
Abstract
As regulations regarding energy use and emissions of CO2 equivalents in buildings become more stringent, the need for more accurate tools and improved methods for predicting these parameters in building performance simulations increases. In the first part of this project, a probabilistic method was developed and applied to the transient energy calculations and evaluated using a single-family dwelling case study. The method was used to successfully predict the variation of the energy use in 26 houses built in the same residential area and with identical building characteristics and services. This project continues the development and testing of the probabilistic method for energy calculations by applying it to a multi-family building. The... (More)
As regulations regarding energy use and emissions of CO2 equivalents in buildings become more stringent, the need for more accurate tools and improved methods for predicting these parameters in building performance simulations increases. In the first part of this project, a probabilistic method was developed and applied to the transient energy calculations and evaluated using a single-family dwelling case study. The method was used to successfully predict the variation of the energy use in 26 houses built in the same residential area and with identical building characteristics and services. This project continues the development and testing of the probabilistic method for energy calculations by applying it to a multi-family building. The complexity of the building model increases as the multi-family model consists of 52 zones, compared to the single-zone model used for the single-family dwelling. The multi-family model also includes additional parameters that are evaluated, such as the domestic hot water circulation losses. This paper presents the probabilistic method applied to the building performance simulations used to predict the energy use for the multi-family building and discusses the differences between the previous and new method used in this study. (Less)
Abstract (Swedish)
As regulations regarding energy use and emissions of CO2 equivalents in buildings become more stringent, the need for more accurate tools and improved methods for predicting these parameters in building performance simulations increases. In the first part of this project, a probabilistic method was applied to the transient energy calculations and evaluated using a case study of a single-family dwelling. The method was used to successfully predict the variation of the energy use in 26 houses built in the same residential area and with identical building characteristics and services. This project continues the development and testing of the probabilistic method for energy calculations by applying it to a multi-family building. The complexity... (More)
As regulations regarding energy use and emissions of CO2 equivalents in buildings become more stringent, the need for more accurate tools and improved methods for predicting these parameters in building performance simulations increases. In the first part of this project, a probabilistic method was applied to the transient energy calculations and evaluated using a case study of a single-family dwelling. The method was used to successfully predict the variation of the energy use in 26 houses built in the same residential area and with identical building characteristics and services. This project continues the development and testing of the probabilistic method for energy calculations by applying it to a multi-family building. The complexity of the building model increases as the multi-family model consists of 52 zones, compared to the single-zone model used for the single-family dwelling. The multi-family model also includes additional parameters that are evaluated, such as the domestic hot water circulation losses. This paper presents the probabilistic method applied to the building performance simulations used to predict the energy use for the multi-family building and discusses the differences between the previous and new method used in this study. (Less)
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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
submitted
subject
host publication
12th Nordic Symposium on Building Physics (NSB 2020)
series title
E3S Web of Conferences
volume
172
article number
25011
conference name
12th Nordic Symposium on Building Physics
conference location
Tallinn, Estonia
conference dates
2020-06-14 - 2020-06-17
external identifiers
  • scopus:85088483330
language
English
LU publication?
yes
id
a350627e-a511-4ee6-bc7b-614c009648de
date added to LUP
2020-01-27 14:14:06
date last changed
2022-05-24 00:25:51
@inproceedings{a350627e-a511-4ee6-bc7b-614c009648de,
  abstract     = {{As regulations regarding energy use and emissions of CO2 equivalents in buildings become more stringent, the need for more accurate tools and improved methods for predicting these parameters in building performance simulations increases. In the first part of this project, a probabilistic method was developed and applied to the transient energy calculations and evaluated using a single-family dwelling case study. The method was used to successfully predict the variation of the energy use in 26 houses built in the same residential area and with identical building characteristics and services. This project continues the development and testing of the probabilistic method for energy calculations by applying it to a multi-family building. The complexity of the building model increases as the multi-family model consists of 52 zones, compared to the single-zone model used for the single-family dwelling. The multi-family model also includes additional parameters that are evaluated, such as the domestic hot water circulation losses. This paper presents the probabilistic method applied to the building performance simulations used to predict the energy use for the multi-family building and discusses the differences between the previous and new method used in this study.}},
  author       = {{Burke, Stephen and Carling, Pär and Davidsson, Henrik and Davidsson, Kristin and Ekström, Tomas and Harderup, Lars-Erik and Kronvall, Johnny and Sahlin, Per and Sundling, Rikard and Wiktorsson, Magnus}},
  booktitle    = {{12th Nordic Symposium on Building Physics (NSB 2020)}},
  language     = {{eng}},
  series       = {{E3S Web of Conferences}},
  title        = {{Proposed method for Probabilistic Energy Simulations for Multifamily Dwellings}},
  volume       = {{172}},
  year         = {{2020}},
}