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Optimal Allocation And Scheduling Of Reclaimed Water In Colleges Based On Intelligent Algorithm

Posted on:2021-03-19Degree:MasterType:Thesis
Country:ChinaCandidate:C ZhangFull Text:PDF
GTID:2427330647464134Subject:Computer technology
Abstract/Summary:PDF Full Text Request
The shortage of water resources has become the primary problem that urban development needs to face.Water waste and drainage pollution together aggravate the shortage of water resources.The development of reclaimed water can effectively alleviate these two aspects.The characteristics of high total water consumption in universities,high proportion of urban water consumption and high energy consumption of old water supply equipment cause great burden on urban water allocation and environmental governance.Because the water consumption in universities on the day,month,season and so on has obvious cyclical characteristics,and the discharged waste water is of good water quality,massive in quantity stable and continuous,establishment of reasonable allocation and scheduling model of reclaimed water at colleges and universities,combining with the intelligent algorithm in order to realize water-saving energy-saving targets in colleges and universities,is of great significance for the effective utilization of water resources in colleges and universities and urban sustainable development planning of colleges and universities.According to the structural rule of water consumption in colleges and universities,water use and drainage are classified according to the ways of water use,and bathing wastewater and toilet wastewater with outstanding advantages are selected as the sources of high-quality reclaimed water.Reclaimed water of colleges and universities is more suitable for the decentralized system that is nearby sewage treatment and recycling,which can effectively reduce the high cost caused by long distance pipeline laying and processing all the sewage in the same standards,compared with the centralized sewage treatment mode.Together with the method of water purification and other water compensation,the problem of shortage of reclaimed water sources is thus solved.Based on water consumption rule during different cycles,reclaimed water quantity allocation model is established according to the cycle.With the goal of saving purified water resources to the largest extent,constrained by water quality requirements and the balance between supply and demands,using adaptive genetic algorithm to solve,an effective optimal allocation plan of reclaimed can be obtained,which can also prove that the intelligent algorithm is effective to deal with the problem of optimal allocation of water supply.In the campus reclaimed water supply system,student dormitories account for a large part of the water supply.As dormitory buildings are usually the tallest buildings on campus,secondary water supply is required.By comparing the existing multiple secondary water supply modes and combining the existing water supply equipment,the economical and applicable water supply mode of parallel connection between speed regulating pump and constant speed pump is proposed.By comparing the water usage rules of students' dormitory on weekdays,weekends and holidays and combining with the operating performance curve of the pump group,a scheduling model was established to reduce the peak and trough of water supply and save energy consumption.The optimal scheduling and operation scheme of the pump group was obtained by using the ABC-PSO hybrid algorithm.Under the premise of lower renovation cost,the final scheme can effectively reduce the water loss and energy loss caused by overpressure water supply,meet the water demand during peak water consumption,and provide reference for the optimization of similar building water supply system.It is of great significance to realize the effective utilization and rational allocation of water resources and energy through the study of water use rules in colleges and universities combined with intelligent algorithms,for the establishment of a saving and efficient society.
Keywords/Search Tags:water consumption in colleges, optimal allocation of reclaimed water, adaptive genetic algorithm, ABC-PSO algorithm, optimized scheduling of water supply pump group
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