Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/9EE16F98-1109-4FF8-A140-123FDEEE5420 | ||
| Year | 2020 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Michail Katsigiannis, "Balancing expected thermal discomfort and heating-ventilation-air conditioning operation cost in buildings with dynamic occupancy schedules", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2020 https://doi.org/10.26233/heallink.tuc.86080 | ||
| Appears in Collections |
Optimizing the heating, ventilation and air condition (HVAC) process considers a multi-objective optimization task with the main objectives being energy cost and thermal discomfort. Typically, when the occupancy schedule of a building is known in advance, a thermostat can be set to predetermined values in order to minimize thermal discomfort. However, in dynamic occupancy schedule scenarios, ensuring minimum thermal discomfort at all times is highly energy inefficient. In more detail, even with the most accurate occupancy prediction algorithms some uncertainty on the predicted schedule is retained. Minimizing thermal discomfort, even in the slightest chance of occupancy, introduces unnecessary and unacceptable cost. In this context, our goal in this thesis was to investigate HVAC control optimization algorithms that incorporate occupancy predictions in a feasible manner. In more detail, we compare two algorithms derived from the literature against a novel algorithm that we propose here, with respect to applicability, effectiveness, efficiency and usability criteria. Our comparison shows that each one of the algorithms possesses certain advantages and disadvantages with respect to the above-mentioned criteria. Our approach performs similar to state of the art approaches and offers increased usability since it relies on a single intuitive parameter.
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