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Study On Energy Benchmark For Heat Metering Of Residential Building In Tianjin

Posted on:2015-05-07Degree:MasterType:Thesis
Country:ChinaCandidate:H T MaFull Text:PDF
GTID:2272330452459504Subject:Heating, Gas Supply, Ventilation and Air Conditioning Engineering
Abstract/Summary:PDF Full Text Request
Due to popularization and application of heat metering, many problems thattraditional heating face are effectively solved, for instance, poor quality, high energyconsumption and difficult to charge. However, along with the continuous deepeningof the reform of heating metering, corresponding problems are also exposed. That is,some users with heat metering device installed doesn t implement the policy ofheating fees charged by heat metering. The faultiness of heat-metering system is mainreason. For that reason, the article studied the heart of the matter exist in theheat-metering system based on the heat metering demonstration project in Tianjin. Itsmain contents are as follows:Based on the research sample of1726buildings in the heating season of2011~2012, statistical analysis was carried out on the heating data and the energyconsumption distribution of residential building user are obtained. The data areanalyzed by statistical software SPSS. The result shows that the heating energyconsumption per unit area for user heating fee based on metering is lower than that ofheating fee based on area obviously. In order to analyze the difference of userbehavior energy-saving ratio in the two categories buildings, the samples have beendivided into two groups in this paper according to the difference of building thermalperformance. The result shows that the stage3energy-efficient buildings can savemore energy by13.22%compared with the stage2energy-efficient buildings.Based on the statistical data in the heating season of2008~2013, this paperanalyses the influence of user behavior, position of user room and adjacentnon-heating rooms on users heating energy consumption. The average energy-savingrate each year ranged from4.11%to10.84%. The result shows that the heatingconsumption is highest when user living in top or ground floor and lowest inmid-position. Sequence in stage2energy-efficient buildings is: top floor> groundfloor> top middle> bottom middle> edge middle> middle floor. Sequence in stage3energy-efficient buildings is: ground floor> top floor> ground middle> top middle>edge middle> middle floor. The user’s location correction coefficient is determined,heating consumption of user in middle position being as benchmark. Due to thecontingency of adjacent non-heating in actual situation, this paper use simulationsoftware DeST to set up typical residential building model and selective analyze the influence of adjacent non-heating on user heating consumption, and then obtain thedifferent correction coefficient.According to the principle of certainty and evaluation method of energyconsumption benchmark, this paper protocol four kinds of energy consumptionbenchmarks in different situations. Analyzes the trends of retreat rates and refundsrates based on the actual measurement data. Given advice that the benchmarks areshould not lower than users actual heat consumption levels,especially when the usersactual heat consumption levels can t be known. The range of energy consumptionbenchmarks may be extended appropriately.In the last, the article studies the question on how to charge fee for user withroom non-heating. The heat consumption obtained and the rate from surroundingusers is calculated theoretical. Some suggestion provided for heating sector to developprograms.
Keywords/Search Tags:residential building, heat metering, energy consumptionbenchmarks, retreat rates, refunds rates
PDF Full Text Request
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