Reducing Simulation Performance Gap from Hempcrete Buildings Using Multi Objective Optimization

Ataitiya Bana, Ljubomir Jankovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Downloads (Pure)

Abstract

Hempcrete is increasingly used as a construction material, as it provides stable temperature and relative humidity conditions in buildings. In addition to low energy operations, buildings built from hempcrete possess negative embodied CO2, absorbed into the hemp plant material. Hempcrete is hard to represent in design simulations because standard dynamic simulation tools do not have a built-in capability to simulate its effect accurately, due to the specific material structure and combined heat and moisture transfer, causing a considerable performance gap. This paper investigates appropriate specification of key parameters to be used in simulation of hempcrete, to reduce simulation performance gap from hempcrete buildings, using multi objective optimisation, to facilitate hempcrete simulation.
Original languageEnglish
Title of host publicationProceedings of Building Simulation 2019: 16th Conference of IBPSA
EditorsV. Corrado, E. Fabrizio, A. Gasparella, F. Patuzzi
PublisherInternational Building Performance Association (IBPSA)
Number of pages8
ISBN (Print)9781775052012
DOIs
Publication statusPublished - 1 Apr 2020
Event16th Conference of the International Building Performance Simulation Association - Rome, Italy
Duration: 2 Sept 20194 Sept 2019
http://buildingsimulation2019.org/

Publication series

NameProceedings of the International Building Performance Simulation Association
PublisherInternational Building Performance Association (IBPSA)
Volume16
ISSN (Print)2522-2708

Conference

Conference16th Conference of the International Building Performance Simulation Association
Country/TerritoryItaly
CityRome
Period2/09/194/09/19
Internet address

Fingerprint

Dive into the research topics of 'Reducing Simulation Performance Gap from Hempcrete Buildings Using Multi Objective Optimization'. Together they form a unique fingerprint.

Cite this