Font Size: a A A

Structure Optimization And Experimental Investigation For The Solar Powered Dehumidification Window

Posted on:2021-04-15Degree:MasterType:Thesis
Country:ChinaCandidate:H P HuangFull Text:PDF
GTID:2392330611467624Subject:Architecture and civil engineering
Abstract/Summary:PDF Full Text Request
The thermal comfort is greatly affected by high-humidity environment.As a kind of dehumidifying technology that can effectively dehumidify the fresh air with a more environmentally-friendly way,solid desiccant dehumidification is gradually being pay more attention.But nowadays,the quality of outdoor air in many cities are gradually decreased,which makes it necessary for residential buildings not only to adjust the indoor wet environment,but also to purify the fresh air.Based on above,a dehumidification double-glazed window using solid desiccant packed bed with solar energy regeneration is designed in this paper,and the nonwoven fabric and HEPA filter is installed on the air intake and air outlet,respectively.A dehumidification device which can lighted,shaded,dehumidify,sound-proofing,purify and directly use solar energy is built.The proposed setup is mainly dehumidified by three-layer silica gel modules and then regenerated by solar radiation.In order to investigate the dehumidification performance of the proposed setup,different dehumidification conditions and regeneration conditions have been conducted,and the theoretical model of device in dehumidification process and regeneration process was not only established but also verified by the experimental results,which can provided experience and basis for the engineering application and theoretical analysis in the future.In the dehumidification process,the maximum value of transient moisture removal can reachair and the maximum dehumidification efficiency can arrive 66.4%.What's more,the average dehumidification efficiency can arrive 53.4%under the best condition.In addition,when the relative humidity of the air increases from 75%to 85%under the high temperature conditions in summer and the low temperature conditions in winter,the maximum transient moisture removal of device up 29.5%and 64.2%,respectively.The average dehumidification increased by 12.5%and 22.5%,respectively.The experimental results show that the humidity ratio of outlet air decreases by an average ofairair,and the humidity ratio of outlet air moisture content can be reduced toair under the best conditions.In the psychrometric figure,it can be found that the exhaust air from the device meet the requirement of design standard of indoor air in winter China during winter conditions.In the regeneration process,the maximum value of transient moisture addition of the device can reachair.The average value of transient moisture addition can reachair under the best condition.With the increase of air flow flux from 500m3/h to1500m3/h,the average value of moisture addition and temperature rise between inlet and outlet air are reduced under winter condition,down 52.6%and 25.7%,respectively.The average value of moisture addition is increased under summer condition,up 8.3%;The temperature rise between inlet and outlet air is reduced 10.8%in the summer condition.That means the increase of air flow flux has the opposite effect on the moisture addition of window in summer and winter conditions.In addition,the effective water diffusion coefficient of solid desiccant ranges from 6.36×10-8m2/s to 8.03×10-8m2/s under different regeneration conditions,which also increases with the decrease of air relative humidity.According to test results,the semi-empirical theoretical models describing the dehumidification process of solar dehumidification window and the regeneration process have been set up respectively.The theoretical models are the moisture content model of the desiccant material and the regeneration rate model of the desiccant material,respectively.After comparative analysis,it is found that the average relative error between the calculated value of dehumidification model and experimental value is not higher than 9.61%under ten dehumidification conditions.And with different regeneration conditions,the average relative error between the calculated value of regeneration model and experimental value is not higher than 16.5%.According to the above,the semi-empirical models results with testing results display good agreement correspondingly which also validate the calculated models with good applicability for the dehumidification process and the regeneration process respectively.
Keywords/Search Tags:solar energy, dehumidification window, dehumidification, regeneration, optimization
PDF Full Text Request
Related items