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Research On Controlstrategy Of Hybrid Ventilation Forresidential Building In Chongqing

Posted on:2015-05-02Degree:MasterType:Thesis
Country:ChinaCandidate:H LiuFull Text:PDF
GTID:2272330422972580Subject:Heating, Gas Supply, Ventilation and Air Conditioning Engineering
Abstract/Summary:PDF Full Text Request
Energy is the basis and powerof modernization. It’s also the focus of theinternational political, financial and security game.Ecological civilization constructionis the basic connotation of modernization construction, and the improvement of theliving environment is a goal of that. Hybrid ventilation, which combines their respectiveadvantages, is the combination of natural ventilation and mechanicalventilation,usingminimal energy consumption, maximumassuring indoor thermalenvironment and air quality.Therefore, researching on hybrid ventilation to create asuitable living environment, realize green, low-carbon, efficient use of energy is of greatsignificance.The essence of hybrid ventilation system is that it can control ventilation rateaccording to the demand. In order to put forwardappropriatecontroltarget parameter forhybrid ventilation system, the paper first starting from the functional properties ofventilation, through to the theory analysis of human body adaptability in naturallyconditioned spaces, confirmed the indoor operative temperature as control parameter,based on the indoor thermal comfort. Then after the evaluation for index of indoor airquality and minimum ventilation rate, selecting indoor carbon dioxide concentration asthe regulation of indoor air quality objectives.To comprehensively consider the effect ofthe two control parameters,ventilation rate is used to establish the correlation betweenthem, developingthe allowed diagramof indoor and outdoor carbon dioxideconcentration range in different outdoor temperature, under the premise of meeting theindoor thermal comfort.According to this diagram can be further calculated the demandventilation rate at any time and at the same time meeting the needs of indoor thermalcomfort andair quality, under the background of ventilation.Hybrid ventilation is the composite form of natural ventilation and mechanicalventilation, the application effect of whichis inseparable from the cooperativetransformation of the two, also the research of its control strategy cannot leave theventilation rate that natural ventilation can provide.How to calculatethe naturalventilation rate is the key problem to realize the synergy of hybrid ventilation system.The paper bases on multi-zone airflow network model, analyzing the ventilationcalculation model of boundary conditions, choosesthe representing software–Contamwas research tool, a typical residential building ventilation openings type–single-sided ventilation flow model as the research object, through different experimental algorithmfor ventilation program verification, to explore the reasonable prediction of the naturalventilation rate.The experimental results show that the multi-zone airflow networkmodel can more accurately predict the natural ventilation rate, and for the type offan-assisted natural ventilation–a form ofhybrid ventilation, the algorithm also getssatisfactory results.Finally, based on the demand ventilation and ventilation algorithm procedures,according to the climate features of Chongqing, studies the different hybrid ventilationapplication strategy due to seasons.Considering the dynamic changes of theenvironment,according to the real-time performance characteristics of the hybrid ventilation controlsystem, proposes the real-time control strategyfor different times of a day.This paper uses the method of theory calculation,experiment and simulation tostudy the control target parameters for hybrid ventilation system and control strategy.All of this can be usedto provide the reference for the research and development onrelated standards, specifications, technologies and products.
Keywords/Search Tags:Residential building, Hybrid ventilation, Demand ventilation rate, Multi-zoneairflow network model, Controlstrategy
PDF Full Text Request
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