An Analytical Model for Mathematical Analysis of Smart Daily Energy Management for Air to Water Heat Pumps

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Having a substantial and increasing energy demand for domestic heating world wide together with decreasing availability of fossil fuels, the use of renewable energy sources for heating are becoming important. Especially air to water heat pumps have been suggested as an alternative for domestic heating. Using them the main challenge is to be sensitive to the timing of both the outdoor air temperature and the indoor energy demands in order to minimize the energy usage. Such a heating system should work efficiently and economically, thereby also taking into account comfort for the residents, with minimal human intervention. This paper presents an analytical model that can be used to mathematically analyse how to use energy more efficiently with an air to water heat pump. Results of such an analysis have been compared with another, simulation-based approach which has provided more confidence in the model. The model can be integrated in a smart thermostat to obtain more autonomous behavior for indoor heating demands against the changes in outside air temperature over the time. © 2014 Elsevier Ltd.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, TMREES'14. Energy Procedia, vol. 50
PublisherElsevier
Pages589-596
DOIs
Publication statusPublished - 2014
EventInternational Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability -
Duration: 1 Jan 20141 Jan 2014

Conference

ConferenceInternational Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability
Period1/01/141/01/14

Fingerprint

Energy management
Analytical models
Pumps
Heating
Air
Water
Thermostats
Fossil fuels
Hot Temperature
Availability
Temperature

Cite this

Tabatabaei, S. A., Thilakarathne, D. J., & Treur, J. (2014). An Analytical Model for Mathematical Analysis of Smart Daily Energy Management for Air to Water Heat Pumps. In Proceedings of the International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, TMREES'14. Energy Procedia, vol. 50 (pp. 589-596). Elsevier. https://doi.org/10.1016/j.egypro.2014.06.072
Tabatabaei, S.A. ; Thilakarathne, D.J. ; Treur, J. / An Analytical Model for Mathematical Analysis of Smart Daily Energy Management for Air to Water Heat Pumps. Proceedings of the International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, TMREES'14. Energy Procedia, vol. 50. Elsevier, 2014. pp. 589-596
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Tabatabaei, SA, Thilakarathne, DJ & Treur, J 2014, An Analytical Model for Mathematical Analysis of Smart Daily Energy Management for Air to Water Heat Pumps. in Proceedings of the International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, TMREES'14. Energy Procedia, vol. 50. Elsevier, pp. 589-596, International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, 1/01/14. https://doi.org/10.1016/j.egypro.2014.06.072

An Analytical Model for Mathematical Analysis of Smart Daily Energy Management for Air to Water Heat Pumps. / Tabatabaei, S.A.; Thilakarathne, D.J.; Treur, J.

Proceedings of the International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, TMREES'14. Energy Procedia, vol. 50. Elsevier, 2014. p. 589-596.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Tabatabaei SA, Thilakarathne DJ, Treur J. An Analytical Model for Mathematical Analysis of Smart Daily Energy Management for Air to Water Heat Pumps. In Proceedings of the International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, TMREES'14. Energy Procedia, vol. 50. Elsevier. 2014. p. 589-596 https://doi.org/10.1016/j.egypro.2014.06.072