| Summary: | 碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 98 === The heat pump system coordination boiler provides the hot water is one which of heating patterns present uses for the hospital and the hotel, however in the actual operation, as a result of the hot water demand''s change, in the running operation, often has some problem, such as the peak price period, when the water load demand for the client at a time when storage tank up into the cold water so the water temperature is low, causing the boiler to increase energy use; At this point, if the load demand to be high-end supplemented using the heat pump heat into cold water, will help to reduce energy use. Before the end of the load in the water up into the cold water to stop the use of off-peak electricity price periods supplemented into the cold water and heating using heat pumps, so that the energy consumption during peak electricity transferred to off-peak price period, the economy will help to reduce spending. Therefore, how different time points in the heat pump and pump control, forming optimal operation problem, which is the focus of this study is to investigate.
In this actual case, using the particle swarm optimization, set the life-cycle cost as the objective function, heat pump、water pump start and stop status of the state variables, with known client load of water, storage tank, heating system components, the peak and off-peak electricity price periods, through the numerical simulation program for the system to find heat pump、water pump start and stop each time the state of the lowest life-cycle cost control operating mode, and with only heat pump start and stop optimization of control operation mode and the current operating mode of the two control (water temperature control, water level control) for life-cycle costs, energy costs and energy consumption comparison of the system to seek out the best control strategy to improve the economic efficiency of heat pump water heating system and achieve the government to promote energy conservation and carbon reduction targets, as domestic manufacturers to develop and conduct heat pump systems engineering reference to follow.
Indoor swimming-pool is usually conducted through a suitable introduction of fresh air to maintain indoor design condition. Since water is evaporated from the pool surface, the exhausted air contains more water and specific enthalpy. In response to this indoor air, heat pump is generally used in heat recovery for indoor swimming pools. This paper utilizes particle swarm algorithm to optimize heat pump system
|
|---|
