Petrou, G;
Mavrogianni, A;
Symonds, P;
Korolija, I;
Mylona, A;
Raslan, R;
Dane, V;
(2018)
What are the implications of building simulation algorithm choice on indoor overheating risk assessment?
In:
Proceedings of the 4th Building Simulation and Optimization Conference (BSO 2018).
(pp. pp. 422-429).
University of Cambridge: Cambridge, UK.
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Abstract
Building performance simulation tools commonly offer several algorithm options for most heat transfer processes being modelled. The impact of this choice on indoor overheating risk, assessed using the criteria described in the CIBSE Technical Memorandum 59, was quantified for a naturally ventilated dwelling archetype in two popular tools. By selecting nondefault algorithm options, the predicted overheating risk changed from high to low for 33% of the cases in tool A and doubled the predicted overheating hours in certain rooms in tool B. Given these findings, modellers should carefully decide on the algorithms being used and publish them for increased transparency.
| Type: | Proceedings paper |
|---|---|
| Title: | What are the implications of building simulation algorithm choice on indoor overheating risk assessment? |
| Event: | Building Simulation and Optimization 2018, 11-12 September 2018, Cambridge, UK |
| Location: | Cambridge |
| Dates: | 11 September 2018 - 12 September 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://www.ibpsa.org/proceedings/BSO2018/4C-1.pdf |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Building performance simulation methods - Comfort, Decision support methods for compliance applications, Uncertainty analysis methods |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10054727 |
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