Study on Energy Consumption Assessment and Optimization of Building Pressurized Storage System Based on Hydraulic Model
The energy consumption of building pressurized storage system occupies a large proportion in building energy consumption,and pumping unit optimization and energy consumption control have become one of the re-search focuses in the industry.Based on hydraulic model,the current situation on the water supply system from the second to seventh floors of a nursing home building in Shanghai was modeled and checked.According to the water consumption characteristics,energy-saving optimization schemes were proposed and the energy consumption of pumping unit operation was evaluated in different water supply modes.The results show that the current frequency conversion pump selection of the nursing home is too conservative,resulting in a large energy waste;Under the single pump condition,the same type of variable frequency pump is more energy efficient than the power frequency pump,and the stacking equipment can save 67.8％of the energy consumption compared with the operation of the variable frequency pump.Under the double-pump condition,two frequency conversion pumps with the same frequency speed control can effectively control energy consumption.Compared with the parallel water supply of operating energy,its frequency conversion pumps and power frequency pumps,it savings energy consumption by 9.1％,but it still can't get rid of the effect in a low-flow non-efficient area;However,the use of frequency conversion pumps and power frequency small pumps combination of water supply can be effectively utilized power frequency small pumps transi-tion inefficient area.Compared with the full frequency conversion,its energy consumption saved by 18.4％.However,under the actual double-pump operation conditions,it is necessary to choose the water supply mode according to the pump room's automatic control system conditions compromise.
building pressurized storage systemhydraulic modelassessment of energy consumptionenergy-saving optimization
国家科技期刊平台
NSTL
万方数据
