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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/A509EAF7-0786-49C4-8937-32C80CECC910 | - |
| Identifier | https://doi.org/10.1016/j.jprocont.2014.04.003 | - |
| Language | en | - |
| Extent | 10 pages | en |
| Title | Intelligent BEMS design using detailed thermal simulation models and surrogate-based stochastic optimization | en |
| Creator | Rovas Dimitrios | en |
| Creator | Ροβας Δημητριος | el |
| Creator | Kontes Georgios | en |
| Creator | Κοντες Γεωργιος | el |
| Creator | G. I. Giannakis | en |
| Creator | Katsigarakis Kyriakos | en |
| Creator | Κατσιγαρακης Κυριακος | el |
| Creator | Cesar Valmaseda | en |
| Publisher | Elsevier | en |
| Content Summary | The topic of optimized building operation has attracted considerable interest in the research community: in this context model-based supervisory control design approaches have been shown to yield effective/optimized operation with regards to energy performance or other related operational parameters. A hindrance towards the adoption of such methodologies is the need for a mathematical model tailored to each building which is capable of capturing all pertinent dynamics. Developing and tuning such a model can be a time-consuming and costly proposition, and is the main reason why such approaches have found little applicability beyond the research space. The utilization of models constructed in the building design phases – for the reason of estimating energy performance – properly adapted for the task at hand can be a viable methodology to overcome this problem. We present in this paper, an online process where a stochastic optimization algorithm utilizing a detailed thermal simulation model of the building along with historical sensor measurements and weather and occupancy forecasts, is used to design effective control strategies for a predefined period. A detailed description of the methodology is provided and the proposed approach is evaluated on a heating experiment conducted in a real building located in Greece. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-17 | - |
| Date of Publication | 2014 | - |
| Subject | Energy efficient building | en |
| Bibliographic Citation | G.D Kontes, C. Valmaseda, G.I Giannakis, K.I Katsigarakis, D.V Rovas ," Intelligent BEMS design using detailed thermal simulation models and surrogate-based stochastic optimization," J. of Proc. Control,vol. 24,no. 6, pp. 846-855,2014. doi:10.1016/j.jprocont.2014.04.003 | en |
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