Proposed Method for Probabilistic Energy Simulations for Multi-Family Dwellings

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...

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Main Authors: Burke Stephen, Carling Pär, Davidsson Henrik, Davidsson Kristin, Ekström Tomas, Harderup Lars-Erik, Kronvall Johnny, Sahlin Per, Sundling Rikard, Wiktorsson Magnus
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_25011.pdf
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spelling doaj-6d6376939a7d4b66a0fb18435fed72482021-04-02T15:52:29ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011722501110.1051/e3sconf/202017225011e3sconf_nsb2020_25011Proposed Method for Probabilistic Energy Simulations for Multi-Family DwellingsBurke StephenCarling Pär0Davidsson Henrik1Davidsson Kristin2Ekström TomasHarderup Lars-Erik3Kronvall Johnny4Sahlin Per5Sundling Rikard6Wiktorsson Magnus7EQUA Simulation ABLund UniversityStruSoft ABLund UniversityStruSoft ABEQUA Simulation ABLund UniversityLund UniversityAs 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_25011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Burke Stephen
Carling Pär
Davidsson Henrik
Davidsson Kristin
Ekström Tomas
Harderup Lars-Erik
Kronvall Johnny
Sahlin Per
Sundling Rikard
Wiktorsson Magnus
spellingShingle Burke Stephen
Carling Pär
Davidsson Henrik
Davidsson Kristin
Ekström Tomas
Harderup Lars-Erik
Kronvall Johnny
Sahlin Per
Sundling Rikard
Wiktorsson Magnus
Proposed Method for Probabilistic Energy Simulations for Multi-Family Dwellings
E3S Web of Conferences
author_facet Burke Stephen
Carling Pär
Davidsson Henrik
Davidsson Kristin
Ekström Tomas
Harderup Lars-Erik
Kronvall Johnny
Sahlin Per
Sundling Rikard
Wiktorsson Magnus
author_sort Burke Stephen
title Proposed Method for Probabilistic Energy Simulations for Multi-Family Dwellings
title_short Proposed Method for Probabilistic Energy Simulations for Multi-Family Dwellings
title_full Proposed Method for Probabilistic Energy Simulations for Multi-Family Dwellings
title_fullStr Proposed Method for Probabilistic Energy Simulations for Multi-Family Dwellings
title_full_unstemmed Proposed Method for Probabilistic Energy Simulations for Multi-Family Dwellings
title_sort proposed method for probabilistic energy simulations for multi-family dwellings
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description 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.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_25011.pdf
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