Details
Original language | English |
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Publication status | Published - 2016 |
Externally published | Yes |
Event | 23rd International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2016 - Krakow, Poland Duration: 29 Jun 2016 → 1 Jul 2016 |
Conference
Conference | 23rd International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2016 |
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Country/Territory | Poland |
City | Krakow |
Period | 29 Jun 2016 → 1 Jul 2016 |
Abstract
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- General Engineering
Sustainable Development Goals
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2016. Paper presented at 23rd International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2016, Krakow, Poland.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Simplifying building energy performance models to support an integrated design workflow
AU - Singaravel, Sundaravelpandian
AU - Geyer, Philipp Florian
PY - 2016
Y1 - 2016
N2 - Detailed building performance simulation (BPS) is suited for verification of a design. Increasing needs to develop net-zero energy buildings, demands for passive, active and renewable energy design strategies to be aligned from the early design stage. This gives rise to simplified Building Performance Simulation (BPS) to be integrated at early design stage. This paper aims to identify the required BPS model level of detail with minimum error using parametric simulation models and Design of Experiments (DoE). Results indicates oversimplification in occupancy can produce huge error percentage of the simplified BPS model compared to detailed BPS model; followed by HVAC system, building form and so on.
AB - Detailed building performance simulation (BPS) is suited for verification of a design. Increasing needs to develop net-zero energy buildings, demands for passive, active and renewable energy design strategies to be aligned from the early design stage. This gives rise to simplified Building Performance Simulation (BPS) to be integrated at early design stage. This paper aims to identify the required BPS model level of detail with minimum error using parametric simulation models and Design of Experiments (DoE). Results indicates oversimplification in occupancy can produce huge error percentage of the simplified BPS model compared to detailed BPS model; followed by HVAC system, building form and so on.
UR - http://www.scopus.com/inward/record.url?scp=84987750936&partnerID=8YFLogxK
M3 - Paper
T2 - 23rd International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2016
Y2 - 29 June 2016 through 1 July 2016
ER -