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Study On Hospital Building Energy Consumption Disaggregating And Benchmark Energy Consumption Correcting

Posted on:2020-01-10Degree:MasterType:Thesis
Country:ChinaCandidate:L XueFull Text:PDF
GTID:2392330590958501Subject:Heating, Gas Supply, Ventilation and Air Conditioning Engineering
Abstract/Summary:PDF Full Text Request
Now,most hospital buildings lack direct sub-item energy consumption data as a reference condition.The energy conversion methods and energy consumption evaluation indicators used are not uniform.There is no effective energy consumption data exchange and horizontal comparison between similar hospitals,and the benchmark energy consumption is determined.There is no complete and scientific plan for the verification of energy savings.In view of the existing problems,this paper conducted the following research on several Third-grade ClassA hospitals in Wuhan:Based on the accumulative method of the whole year,the running time method is proposed.Taking a hospital in Wuhan as an example,three energy disaggregation methods(seasonal splitting method of energy consumption bill,running time method and De ST software simulation method)are used for comparative analysis.It is found that the recommended value of summer equivalent full load running time(860h)is reasonable in Wuhan,and the recommended value(680h)in winter is too large.Through the comparative analysis of several Third-grade Class-A hospitals in Wuhan,the recommended value of winter equivalent full load operation time in Wuhan area(497h)is given,and the rationality of the hospital's verification recommendation value combined with sub-measurement is combined.Correlation analysis of hospital building energy consumption and building area,building volume,annual emergency department,annual hospitalization,number of bed days,bed number and annual medical volume.It is proposed to estimate the energy consumption level of the Third-grade Class-A hospitals in Wuhan area and the climatic conditions similar to those in the Wuhan area under the unit building volume of unit the number of bed days,and to correct the number of days,and correct it to the local typical annual energy consumption evaluation index.The regression model method of base period energy consumption and influencing factors and the benchmark energy consumption method based on the fluctuation trend of energy consumption are used to analyze the problems of the two methods for different base period lengths(nearly one year,nearly two years and nearly three years).Based on the method of determining the baseline energy consumption based on the fluctuation trend of energy consumption,it is proposed that the reference energy consumption corrected by the number of bed days,building volume and number of days is more scientific and reasonable.Taking a hospital in Wuhan as an example,the energy saving rates calculated by the three energy saving methods(regression model method,coefficient correction method and overall billing method for base period energy consumption and influencing factors)are 36%,29% and 40%,It is respectively shown that the coefficient correction method considering the number of bed days,the building volume and the number of days is more in line with the actual situation.This paper studies the problems of hospital building energy consumption disaggregating,energy conversion,energy consumption evaluation index,benchmark energy consumption determination and energy saving quantity verification method in several Third-grade Class-A hospitals in Wuhan.The conclusions are the horizontal and vertical energy diagnosis and energy-saving transformation evaluation of the Third-grade Class-A hospitals in Wuhan and the climatic conditions are similar in Wuhan.The development provides a scientific and reasonable reference basis,which is conducive to the unification and standardization of hospital building energy conservation work.
Keywords/Search Tags:Energy consumption disaggregating, Energy conversion, Energy consumption evaluation index, Benchmark energy consumption, Energy verification
PDF Full Text Request
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