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Research on Energy-saving and Cost-saving Optimization Strategy of HVAC System

Author: NieQingZhen
Tutor: LiQiQiang
School: Shandong University
Course: Systems Engineering
Keywords: Building energy consumption Air conditioning energy Electricity demand response Savings EnergyPlus Energy optimization model Optimization strategy
CLC: TU831
Type: Master's thesis
Year: 2010
Downloads: 320
Quote: 1
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Abstract


With the increasingly tense energy supply, air conditioning, energy conservation has become a subject of study of many scholars. Optimization of energy-saving air-conditioning system, to find out the optimum operating point, and will significantly reduce air conditioning energy consumption. Electricity demand in response to the premise, the savings become the most important demand of the user, and therefore, it is necessary to HVAC savings optimization in electricity demand in response to the premise. In the study of the optimization of the air-conditioning system, the majority of studies only stay on the optimization of the single-class equipment, HVAC system the overall optimization study is still the focus of current research. The birth of the electricity demand response, makes HVAC savings may not meet the requirements of the original energy-saving strategies. Therefore, the HVAC savings under electricity demand response optimization strategies HVAC research new topics. Variable air volume (VAV) air-conditioning systems, air-conditioning systems and variable water volume (VWV) each have their own energy-saving advantages, VAV and VWV combined system as the research object, in the HVAC system modeling method, the model solution and optimization strategies and other aspects of a large number of studies. The main work is as follows: First, the introduction of a variety of air-conditioning system load calculation software, and compare their advantages and disadvantages. Then a specific architecture instance EnergyPlus simulation of the cooling load of the HVAC system to provide a basis for the air conditioning energy optimization strategy. Secondly, the establishment of the mathematical model of the equipment of the HVAC system, and then analyze the relationship between the various devices, to the HVAC system energy optimization model. Final adoption of a specific instance of the air-conditioning system, to solve the optimization model of the energy-saving, energy-saving optimization strategy for air-conditioning systems. By comparison, has a good energy saving effect that the optimization strategy. Finally, in the HVAC system energy optimization model based on the introduction of electricity demand response. First proposed the indoor temperature setting electricity demand response strategies, and the cooling load of the air conditioning system 24 hours using EnergyPlus simulation. Then, energy-efficient air-conditioning system optimization model is solved to obtain the the various equipment Hourly optimal set point, thus proposed optimization strategy based on the the HVAC savings of electricity demand response. Finally, on the basis of the TOU calculate the total cost of the air conditioning system 24 hours, and compare the effect of an optimization strategy of the air conditioning system savings savings, the comparison results show that the savings strategy has good savings effect. Finally, a summary of the full text and made pending further study.

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CLC: > Industrial Technology > Building Science > Housing construction equipment > Air-conditioning, heating, ventilation,and its equipment > Air-conditioning
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