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  4. The Energy Saving Performance Vertification and Optimal Control Strategy of the Central Air Conditioning System
 
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The Energy Saving Performance Vertification and Optimal Control Strategy of the Central Air Conditioning System

Date Issued
2008
Date
2008
Author(s)
Wu, Da-Wei
URI
http://ntur.lib.ntu.edu.tw//handle/246246/187284
Abstract
Under the crisis of global warming and oi price rising, efforts to save energy and reduce carbon emission become significant issues of engineering studies. Thus, U.S. Department of Energy and Efficiency Valuation Organization (EVO) published the “International Performance Measurement and Verification Protocol (IPMVP)” to increase investment in energy and water efficiency, demand management and renewable energy projects around the world. The IPMVP promotes four concepts of energy saving measurement and verification to evaluate performance of efficiency. These concepts of IPMVP are applied in this thesis for energy saving of air conditioning system.n this research, we first derive the mathematical models for equipments among air conditioning system, including wet coil air-conditioners, cooling towers, chillers, fans, and pumps. By using these models, the performance of equipments can be predicted under various conditions. The results of prediction regard as the base line of energy saving strategy for individual equipment to verify the efficiency. After acquiring individual mathematical model among an air conditioning system, we consider ambient conditions and cooling load simultaneously to integrate all of models to develop a methodology flowchart to predict system total power consumption. The results of prediction regard as the base line of energy saving strategy for system to verify the efficiency.y the methodology flowchart, this thesis develops the optimal operation strategy of air conditioning system using dynamic programming method. The dynamic programming setting variables are tower air flow rate, cooling water flow rate, wet coil air-conditioner air flow rate, and chilled water flow rate. Under considering the system constrains, the result show that the optimization can save about 10% system total power consumption.
Subjects
Central Air Conditioning System
Air-conditioner
Cooling Tower
Chiller
Dynamic Programming Method
SDGs

[SDGs]SDG7

Type
thesis
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ntu-97-R95522302-1.pdf

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(MD5):84df3a440457e8406a2e214c86759702

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