Adaptive Environmental Control for Optimal Energy Consumption in Hospitals

Lubbock, Texas June 09-June 10

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http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465434

Eighth IEEE Symposium on Computer-Bas ...

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	ASCII Text	x
	E. Kaymaz, "Adaptive Environmental Control for Optimal Energy Consumption in Hospitals," Computer-Based Medical Systems, IEEE Symposium on, pp. 0165, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995.

	BibTex	x
	@article{ 10.1109/CBMS.1995.465434, author = {E. Kaymaz}, title = {Adaptive Environmental Control for Optimal Energy Consumption in Hospitals}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {1995}, isbn = {0-8186-7117-3}, pages = {0165}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465434}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - Adaptive Environmental Control for Optimal Energy Consumption in Hospitals SN - 0-8186-7117-3 SP EP A1 - E. Kaymaz, PY - 1995 KW - medical computing; computerised control; cooling; heating; fuzzy control; digital simulation; environmental engineering; adaptive environmental control; optimal energy consumption; second order dynamical model; hospitals; heating/cooling process; hospital building; fuzzy logic controller; FLC; if-then control rules; PI/PID controllers; on/off controller; energy consumption VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

E. Kaymaz, Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA

Abstract: A second order dynamical model of the heating/cooling process in a hospital building is simulated. A fuzzy logic controller (FLC) based on if-then control rules is designed and the performance of the FLC is compared with that of commonly used on/off and PI/PID controllers. Both the FLC and the PI/PID controllers outperform the on/off controller in terms of accuracy, as well as energy consumption. However, the FLC is more robust than the PI/PID controllers in that the FLC is much less sensitive to changes in system parameters and consumes less energy.

Index Terms:

medical computing; computerised control; cooling; heating; fuzzy control; digital simulation; environmental engineering; adaptive environmental control; optimal energy consumption; second order dynamical model; hospitals; heating/cooling process; hospital building; fuzzy logic controller; FLC; if-then control rules; PI/PID controllers; on/off controller; energy consumption

Citation:

E. Kaymaz, "Adaptive Environmental Control for Optimal Energy Consumption in Hospitals," cbms, pp.0165, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995

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