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Techno-economic analysis of control algorithms for an exhaust air heat pump system for detached houses coupled to a photovoltaic system
Dalarna University, School of Technology and Business Studies, Energy Technology. Uppsala University.ORCID iD: 0000-0003-0402-8433
Dalarna University, School of Technology and Business Studies, Energy Technology.
2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 249, p. 355-367Article in journal (Refereed) Published
Abstract [en]

Operational control strategies for the heating system and “smart” utilization of energy storage were developed and analyzed in a simulation based case study of a single-family house with exhaust air heat pump and photovoltaic system. Rule based control algorithms that can easily be implemented into modern heat pump controllers were developed with the aim to minimize final energy and maximize self-consumption by the use of the thermal storage of the building, the hot water tank and electrical storage. Short-term weather and electricity price forecasts are used in some of the algorithms. Heat supply from an exhaust air heat pump is limited by the ventilation flow rate fixed by building codes, and compact systems employ an electric heater as backup for both space heating and hot water. This heater plays an important role in the energy balance of the system. A typical system designed for new detached houses in Sweden was chosen for the study. This system, together with an independent photovoltaic system, was used as a base case and all results are compared to those for this base case system. TRNSYS 17 was used to model the building and system as well as the control algorithms, and special care was taken to model the use of the backup electric heater as this impacts significantly on final energy use. Results show that the developed algorithms can reduce final energy by 5–31% and the annual net cost for the end user by 3–26%, with the larger values being for systems with a battery storage. Moreover, the annual use of the backup electric heater can be decreased by 13–30% using the carefully designed algorithms.

Place, publisher, year, edition, pages
2019. Vol. 249, p. 355-367
Keywords [en]
Photovoltaics, Heat pump, Forecast services, Thermal storage, Electrical storage, Control algorithms
National Category
Energy Systems
Research subject
Energy and Built Environments
Identifiers
URN: urn:nbn:se:du-30003DOI: 10.1016/j.apenergy.2019.04.080ISI: 000472692200029Scopus ID: 2-s2.0-85065118179OAI: oai:DiVA.org:du-30003DiVA, id: diva2:1314751
Available from: 2019-05-09 Created: 2019-05-09 Last updated: 2019-07-22Bibliographically approved

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Psimopoulos, EmmanouilBales, Chris
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