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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/933878
- Achieving a synergy by combining air conditioners and photovoltaic panels: an evolutionary-algorithm approach
Ward, John K.;
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- 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.
- 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)
- Institute of Electrical and Electronics Engineers (IEEE)
multi objective evolutionary algorithms;
- Resource Type
- conference paper
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