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Study on the optimal control of the ground thermal storage system in the greenhouse. Part 4; Onshitsu ni okeru taiyo energy dochu chikunetsu system ni okeru saiteki seigyo ni kansuru kenkyu

Abstract

Three types of weight in both energy saving and optimum room temperature environment were changed to obtain the optimal control solution of the ground thermal storage system in a greenhouse. The relation diagram between the optimal solution of a performance function, and the state constraints and control function constraints was created in consideration of the energy term in a control function value area and the room temperature environment. As a result, the whole image of the performance function could be grasped in consideration of the energy term with inequality constraints and the room temperature environmental term in this study. The rate of a weighting factor in the performance function significantly influences the optimal solution. The influence on the optimal solution also changes when the optimal room temperature schedule differs. The influence that three types of rising algorithm exert on the convergence and converging speed was investigated. Superiority or inferiority occurs according to the space properties of a performance function. A zigzag method is most disadvantageous. The constraints can be converged to the optimal solution using an SUMT outer point method irrespective of the initial value. 6 refs., 6 figs., 4 tabs.
Authors:
Zheng, M; [1]  Nakahara, N [2] 
  1. Sanko Air Conditioning Co. Ltd., Osaka (Japan)
  2. Kanagawa University, Yokohama (Japan)
Publication Date:
Oct 27, 1996
Product Type:
Conference
Report Number:
CONF-9610295-
Reference Number:
SCA: 140905; 142000; PA: NEDO-96:915463; EDB-97:072040; SN: 97001783007
Resource Relation:
Conference: JSES/JWEA joint conference (1996), 1996 nendo nihon taiyo energy gakkai nihon furyoku energy kyokai godo kenkyu happyokai, Yamagata (Japan), 31 Oct - 1 Nov 1996; Other Information: PBD: 27 Oct 1996; Related Information: Is Part Of Proceedings of JSES/JWEA Joint Conference (1996); PB: 406 p.; Taiyo/furyoku energy koen ronbunshu (1996)
Subject:
14 SOLAR ENERGY; SOLAR ENERGY; SOILS; HEAT STORAGE; GREENHOUSES; OPTIMAL CONTROL; TEMPERATURE CONTROL; ENERGY CONSUMPTION; FUNCTIONS; SCHEDULES; ALGORITHMS; CONVERGENCE
OSTI ID:
472756
Research Organizations:
Japan Solar Energy Society, Tokyo (Japan)
Country of Origin:
Japan
Language:
Japanese
Other Identifying Numbers:
Other: ON: DE97744185; TRN: 96:915463
Availability:
Available from Japan Solar Energy Society, 44-14, Yoyogi 2-chome, Shibuya-ku, Tokyo, Japan; OSTI as DE97744185
Submitting Site:
NEDO
Size:
pp. 133-136
Announcement Date:
Jun 03, 1997

Citation Formats

Zheng, M, and Nakahara, N. Study on the optimal control of the ground thermal storage system in the greenhouse. Part 4; Onshitsu ni okeru taiyo energy dochu chikunetsu system ni okeru saiteki seigyo ni kansuru kenkyu. Japan: N. p., 1996. Web.
Zheng, M, & Nakahara, N. Study on the optimal control of the ground thermal storage system in the greenhouse. Part 4; Onshitsu ni okeru taiyo energy dochu chikunetsu system ni okeru saiteki seigyo ni kansuru kenkyu. Japan.
Zheng, M, and Nakahara, N. 1996. "Study on the optimal control of the ground thermal storage system in the greenhouse. Part 4; Onshitsu ni okeru taiyo energy dochu chikunetsu system ni okeru saiteki seigyo ni kansuru kenkyu." Japan.
@misc{etde_472756,
title = {Study on the optimal control of the ground thermal storage system in the greenhouse. Part 4; Onshitsu ni okeru taiyo energy dochu chikunetsu system ni okeru saiteki seigyo ni kansuru kenkyu}
author = {Zheng, M, and Nakahara, N}
abstractNote = {Three types of weight in both energy saving and optimum room temperature environment were changed to obtain the optimal control solution of the ground thermal storage system in a greenhouse. The relation diagram between the optimal solution of a performance function, and the state constraints and control function constraints was created in consideration of the energy term in a control function value area and the room temperature environment. As a result, the whole image of the performance function could be grasped in consideration of the energy term with inequality constraints and the room temperature environmental term in this study. The rate of a weighting factor in the performance function significantly influences the optimal solution. The influence on the optimal solution also changes when the optimal room temperature schedule differs. The influence that three types of rising algorithm exert on the convergence and converging speed was investigated. Superiority or inferiority occurs according to the space properties of a performance function. A zigzag method is most disadvantageous. The constraints can be converged to the optimal solution using an SUMT outer point method irrespective of the initial value. 6 refs., 6 figs., 4 tabs.}
place = {Japan}
year = {1996}
month = {Oct}
}