Constrained fuzzy logic approximation for indoor comfort and energy optimization

S. Ari; I. A. Cosden; H. E. Khalifa; J. F. Dannenhoffer; P. Wilcoxen; C. Isik

doi:10.1109/NAFIPS.2005.1548586

Constrained fuzzy logic approximation for indoor comfort and energy optimization

S. Ari, I. A. Cosden, H. E. Khalifa, J. F. Dannenhoffer, P. Wilcoxen, C. Isik

Research output: Contribution to conference › Paper › peer-review

35 Scopus citations

Abstract

Indoor environmental satisfaction has been receiving considerable attention by many researchers recently. Research has indicated that allowing building occupants to adjust their local environment to their liking increases satisfaction and human performance. However, concern about the possible increase of energy consumption associated with the wide adoption of distributed localized environmental control has limited the use of such systems. In this study, we show how gradient-based optimization can be used to minimize energy consumption of distributed environmental control systems without increasing occupant thermal dissatisfaction. Fuzzy rules have been generated by data from gradient optimization, showing that a fuzzy logic control scheme based on nearest neighbors approximates closely the gradient-based optimized results.

Original language	English (US)
Pages	500-504
Number of pages	5
DOIs	https://doi.org/10.1109/NAFIPS.2005.1548586
State	Published - 2005
Event	NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society - Detroit, MI, United States Duration: Jun 26 2005 → Jun 28 2005

Other

Other	NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society
Country/Territory	United States
City	Detroit, MI
Period	6/26/05 → 6/28/05

ASJC Scopus subject areas

General Computer Science
General Mathematics

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10.1109/NAFIPS.2005.1548586

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Ari, S, Cosden, IA, Khalifa, HE, Dannenhoffer, JF , Wilcoxen, P & Isik, C 2005, 'Constrained fuzzy logic approximation for indoor comfort and energy optimization', Paper presented at NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society, Detroit, MI, United States, 6/26/05 - 6/28/05 pp. 500-504. https://doi.org/10.1109/NAFIPS.2005.1548586

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AU - Ari, S.

AU - Cosden, I. A.

AU - Khalifa, H. E.

AU - Dannenhoffer, J. F.

AU - Wilcoxen, P.

AU - Isik, C.

PY - 2005

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AB - Indoor environmental satisfaction has been receiving considerable attention by many researchers recently. Research has indicated that allowing building occupants to adjust their local environment to their liking increases satisfaction and human performance. However, concern about the possible increase of energy consumption associated with the wide adoption of distributed localized environmental control has limited the use of such systems. In this study, we show how gradient-based optimization can be used to minimize energy consumption of distributed environmental control systems without increasing occupant thermal dissatisfaction. Fuzzy rules have been generated by data from gradient optimization, showing that a fuzzy logic control scheme based on nearest neighbors approximates closely the gradient-based optimized results.

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T2 - NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society

Y2 - 26 June 2005 through 28 June 2005

ER -

Constrained fuzzy logic approximation for indoor comfort and energy optimization

Abstract

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