Identification of physically based models of residential air-conditioners for direct load control management
In this work, we address the problem of identifying the parameters of an aggregated elemental model representing a housing unit with an A/C system. The identification is done to validate the model using a pilot house with an air conditioner system. An online maximum-likelihood based identification a...
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| Other Authors: | , , |
| Format: | article |
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2004
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14697/1/14697_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14697/2/14697_2.doc |
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| Summary: | In this work, we address the problem of identifying the parameters of an aggregated elemental model representing a housing unit with an A/C system. The identification is done to validate the model using a pilot house with an air conditioner system. An online maximum-likelihood based identification algorithm is developed for A/C, the required hardware and system instrumentation is detailed. A sensitivity analysis study of the model for variations in humidity and solar radiation is also reported. |
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