Constantin, A;
Fütterer, J;
Streblow, R;
Müller, D;
Kontes, GD;
Rovas, DV;
(2013)
Simulation Assisted Implementation of a Model Based Control Parameter Fine-tuning Methodology for a Non-residential Building With a Complex Energy System.
In:
Proceedings of the 13th Conference of International Building Performance Simulation Association, 26-28 August, Chambery, France.
(pp. pp. 1869-1876).
IBPSA (International Building Performance Simulation Association): Chambery, France.
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Abstract
In order to improve the energy efficiency, while still insuring indoor comfort for a new non-residential building, a model-assisted fine-tuning methodology for control parameters was implemented. During offline experiments, where no control parameters are sent] to the building, the method was configured according to the particularities of the building. To this purpose we used a co-simulation, where the optimization algorithm for the control parameters was connected to a simulation model of the building and its technical equipment. The offline experiments show promising results regardmg energy savings when compared to good rule-based controllers. The transition to online experiments is more challenging as it depends on the way the whole building system behaves. (PDF) Simulation assisted implementation of a model based control parameter fine-tuning methodology for a nonresidential building with a complex energy system.
Type: | Proceedings paper |
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Title: | Simulation Assisted Implementation of a Model Based Control Parameter Fine-tuning Methodology for a Non-residential Building With a Complex Energy System |
Event: | 13th Conference of International Building Performance Simulation Association, 26-28 August, Chambery, France |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.ibpsa.org/proceedings/BS2013/p_1519.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. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices 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/1531847 |
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