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AN OPTIMAL CONTROL APPROACH FOR DETERMINATION OF THE HEAT LOSS COEFFICIENT IN AN ICS SOLAR DOMESTIC WATER HEATING SYSTEM

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Date Issued:
2010
Abstract/Description:
Water heating in a typical home in the U.S. accounts for a significant portion (between 14% and 25%) of the total homeÂÂÂÂ's annual energy consumption. The objective of considerably reducing the homeÂÂÂÂ's energy consumption from the utilities calls for the use of onsite renewable energy systems. Integral Collector Storage (ICS) solar domestic water heating systems are an alternative to help meet the hot water energy demands in a household. In order to evaluate the potential benefits and contributions from the ICS system, it is important that the parameter values included in the model used to estimate the systemÂÂÂÂ's performance are as accurate as possible. The overall heat loss coefficient (Uloss) in the model plays an important role in the performance prediction methodology of the ICS. This work presents a new and improved methodology to determine Uloss as a function of time in an ICS system using a systematic optimal control theoretic approach. This methodology is based on the derivation of a new nonlinear state space model of the system, and the formulation of a quadratic performance function whose minimization yields estimates of Uloss values that can be used in computer simulations to improve the performance prediction of the ICS system, depending on the desired time of the year and hot water draw profile. Simulation results show that predictions of the systemÂÂÂÂ's performance based on these estimates of Uloss are considerably more accurate than the predictions based on current existing methods for estimating Uloss.
Title: AN OPTIMAL CONTROL APPROACH FOR DETERMINATION OF THE HEAT LOSS COEFFICIENT IN AN ICS SOLAR DOMESTIC WATER HEATING SYSTEM.
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Name(s): Gil, Camilo, Author
Simaan, Marwan, Committee Chair
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2010
Publisher: University of Central Florida
Language(s): English
Abstract/Description: Water heating in a typical home in the U.S. accounts for a significant portion (between 14% and 25%) of the total homeÂÂÂÂ's annual energy consumption. The objective of considerably reducing the homeÂÂÂÂ's energy consumption from the utilities calls for the use of onsite renewable energy systems. Integral Collector Storage (ICS) solar domestic water heating systems are an alternative to help meet the hot water energy demands in a household. In order to evaluate the potential benefits and contributions from the ICS system, it is important that the parameter values included in the model used to estimate the systemÂÂÂÂ's performance are as accurate as possible. The overall heat loss coefficient (Uloss) in the model plays an important role in the performance prediction methodology of the ICS. This work presents a new and improved methodology to determine Uloss as a function of time in an ICS system using a systematic optimal control theoretic approach. This methodology is based on the derivation of a new nonlinear state space model of the system, and the formulation of a quadratic performance function whose minimization yields estimates of Uloss values that can be used in computer simulations to improve the performance prediction of the ICS system, depending on the desired time of the year and hot water draw profile. Simulation results show that predictions of the systemÂÂÂÂ's performance based on these estimates of Uloss are considerably more accurate than the predictions based on current existing methods for estimating Uloss.
Identifier: CFE0003266 (IID), ucf:48525 (fedora)
Note(s): 2010-08-01
Ph.D.
Engineering and Computer Science, School of Electrical Engineering and Computer Science
Masters
This record was generated from author submitted information.
Subject(s): Optimal Control Theory
Integral Collector Storage Solar Water Heater
Heat Loss
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0003266
Restrictions on Access: public
Host Institution: UCF

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