Penna, P;
Gasparella, A;
Cappelletti, F;
Tahmasebi, F;
Mahdavi, A;
(2015)
Optimization-based calibration of a school building based on short-term monitoring data.
In: Mahdavi, A and Martens, B and Scherer, R, (eds.)
eWork and eBusiness in Architecture, Engineering and Construction.
(pp. pp. 259-264).
CRC Press: Vienna, Austria.
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Abstract
The dynamic energy simulation can be used as a tool to assess the energy performance of an existing building and to optimize the choice of different Energy Efficiency Measures (EEMs) from an energetic and economic point of view. However, it requires significant input information. Especially for the existing buildings, this kind of data is often lacking or characterized by high uncertainty. Inaccurate behavioral models of buildings could compromise the selection process of EEMs. In this context, monitored field data can be deployed to calibrate the simulation model, to obtain more reliable predictions, and to make better decisions. The aim of this work is to validate a methodology to calibrate the simulation based on short term measurements. Subject of the study is a real building, a Primary School in the Italian municipality of Schio (VI), which has been monitored since December 2012. © 2015 Taylor & Francis Group.
| Type: | Proceedings paper |
|---|---|
| Title: | Optimization-based calibration of a school building based on short-term monitoring data |
| Event: | 10th European Conference on Product and Process Modelling (ECPPM 2014) |
| Location: | Department of Building Physics and Building Ecology of the Vienna Universi, Vienna, AUSTRIA |
| Dates: | 17 Sep 2014 - 19 Sep 2014 |
| ISBN-13: | 978-1-138-02710-7 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1201/b17396-46 |
| Publisher version: | http://dx.doi.org/10.1201/b17396-46 |
| 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: | Science & Technology, Technology, Computer Science, Information Systems, Computer Science, Interdisciplinary Applications, Computer Science, ENERGY SIMULATION PROGRAMS |
| 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/10184576 |
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