Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/933878
- Title
- Achieving a synergy by combining air conditioners and photovoltaic panels: an evolutionary-algorithm approach
- Author/Creator
-
Perfumo, Cristian;
Ward, John K.;
Braslavsky, Julio
- Institution
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- Description
- Air conditioning is responsible for up to 60% of energy use in commercial buildings and is rapidly increasing in the residential sector. This paper models a group of air-conditioned rooms, whose air conditioners (ACs) are partly powered by photovoltaic (PV) panels. A multi-objective evolutionary algorithm (MOEA) is used to quantify trade-offs amongst peak demand, energy cost and thermal comfort and how those trade-offs change when the air conditioners are coordinated in order to work in awareness of the renewable generation. We model and study a scenario with 8 air conditioners connected to different configurations of photovoltaic panels and compare our findings against the case of having all ACs working independently, irrespective of the renewable generation.
- Relation
- 20th Australasian Universities Power Engineering Conference (AUPEC 2010). Proceedings of the 20th Australasian Universities Power Engineering Conference: "Power Quality for the 21st Century" (Christchurch, NZ 5-8 December, 2010)
- Relation
- http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5710757&tag=1
- Date
- 2010
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Keyword(s)
-
air conditioners;
commercial building;
multi objective evolutionary algorithms;
photovoltaic panels;
residential sectors
- Resource Type
- conference paper
- Rights
- Copyright © 2010 IEEE. Reprinted from the Proceedings of the 20th Australasian Universities Power Engineering Conference. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Identifier
- http://hdl.handle.net/1959.13/933878
- Identifier
- ISBN:9780473182366
- Reviewed
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