Proposed method for Probabilistic Energy Simulations for Multifamily Dwellings

Stephen Burke, Pär Carling, Henrik Davidsson, Kristin Davidsson, Tomas Ekström, Lars-Erik Harderup, Johnny Kronvall, Per Sahlin, Rikard Sundling, Magnus Wiktorsson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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.
Original languageEnglish
Title of host publication12th Nordic Symposium on Building Physics (NSB 2020)
Publication statusSubmitted - 2020
Event12th Nordic Symposium on Building Physics - Tallinn, Estonia
Duration: 2020 Jun 142020 Jun 17
https://nsb2020.org/

Publication series

NameE3S Web of Conferences
Volume172

Conference

Conference12th Nordic Symposium on Building Physics
Abbreviated titleNSB 2020
Country/TerritoryEstonia
CityTallinn
Period2020/06/142020/06/17
Internet address

Subject classification (UKÄ)

  • Building Technologies

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