Font Size: a A A

Energy-saving Control Of Rail Transit Ventilation And Air-conditioning System Based On Intelligent Algorithm

Posted on:2021-08-06Degree:MasterType:Thesis
Country:ChinaCandidate:R WangFull Text:PDF
GTID:2492306452465054Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
Due to its fast speed,large traffic volume,low pollution,and small floor area,subways are quickly put into construction in major cities,but with them,the issue of energy consumption is increasingly prominent.In recent years,China has surpassed the United States to become the country with the largest energy consumption in t he world,and the energy problem has become more serious,according to relevant statistics,the ventilation and air-conditioning system at subway stations accounts for 30-50% of the energy consumption of the main station,therefore,reducing the energy consumption of ventilation and air-conditioning systems and improving the economic benefits of subway operations have gradually become the focus of attention in the industry.This article takes the ventilation and air-conditioning system of a subway station in Beijing as the research object,and takes "people-oriented,energy saving and consumption reduction" as the optimization concept,analyze the load composition of subway stations and construct a time-based load forecasting model through actual research and field test collection data.Propose energy-saving control strategy such as energy-saving control strategy for intelligent switching of fan operation mode,intelligent switching of cooling mode and global optimization of cold source system based on comprehensive consideration of the environmental characteristics of subway stations,the principle of ventilation and air conditioning,and the full use of natural conditions.Construct an intelligent control system with a built-in genetic algorithm,starting from the holistic thinking of system engineering,use the global search capability of genetic algorithms to improve the intelligence of the system and achieve the goals of energy saving optimization and economic benefits.Build an energy-saving control platform for the ventilation and air-conditioning system in the intelligent control system,debug and simulate the energy-saving strategy of the ventilation and air-conditioning system at the subway station,test the comfort index and energy consumption index of the subway,and analyze the energy-saving effects and benefits.The analysis shows that the comfort index of the ventilation and air-conditioning system of the subway station meets the design specifications of the subway after the optimization of energy-saving control,and the energy-saving rate reaches 24.2%,the annual savings are considerable,so it has good energy-saving and economy.
Keywords/Search Tags:subway station, ventilation and air conditioning, energy saving control, control strategy, genetic algorithm
PDF Full Text Request
Related items