夏熱冬冷地區(qū)辦公建筑能耗模擬與預(yù)測研究
發(fā)布時間：2018-08-17 17:01
【摘要】：公共建筑作為我國建筑的主要組成部分,其能源消耗是住宅類建筑能耗的十倍以上；而辦公建筑作為公共建筑的主體部分,其建筑面積近年來也隨著城市建設(shè)的快速發(fā)展而迅猛增長,同時也標(biāo)志著我國經(jīng)濟(jì)水平迅猛發(fā)展。本研究對夏熱冬冷地區(qū)的典型辦公建筑的能耗情況進(jìn)行了研究,得出了適用于該地區(qū)典型辦公建筑能耗的預(yù)測回歸方程,為典型辦公建筑的能耗分析和節(jié)能設(shè)計提供了一定的參考。首先,根據(jù)相關(guān)的建筑節(jié)能設(shè)計標(biāo)準(zhǔn),并參閱有關(guān)參考文獻(xiàn),建立了夏熱冬冷地區(qū)典型辦公建筑模型,并使用EQUEST軟件對所建立的典型辦公建筑模型的能耗水平進(jìn)行了模擬,分析了典型辦公建筑模型的合理性。其次,使用典型辦公建筑模型,利用單因素敏感性法計算了各因素對空調(diào)系統(tǒng)能耗的敏感度。結(jié)果表明辦公建筑能耗受各個因素影響的程度,由大到小分別為空調(diào)系統(tǒng)形式、人員密度、外窗遮陽系數(shù)、水系統(tǒng)是否變頻、相對濕度控制范圍、風(fēng)機(jī)單位風(fēng)量耗功率、平均窗墻比、人均新風(fēng)量、水泵效率、制冷COP、夏季室內(nèi)設(shè)計溫度、熱回收效率、冬季室內(nèi)設(shè)計溫度、設(shè)備功率密度、鍋爐效率、照明功率密度、外墻傳熱系數(shù)、外窗傳熱系數(shù)、屋頂傳熱系數(shù)、太陽輻射吸收系數(shù)、建筑朝向、地面?zhèn)鳠嵯禂?shù)。再次,根據(jù)分析得到的能耗影響因素,設(shè)計了20因素4水平的能耗模擬正交試驗(yàn)方案,以最少的試驗(yàn)次數(shù)獲得了合理的試驗(yàn)數(shù)據(jù)。根據(jù)正交試驗(yàn)方案,對于采用變風(fēng)量、定風(fēng)量、風(fēng)機(jī)盤管加新風(fēng)三種不同空調(diào)系統(tǒng)的辦公建筑分別進(jìn)行了64次模擬,得到了回歸分析所需要的原始數(shù)據(jù)。最后,在大量的模擬數(shù)據(jù)基礎(chǔ)上,應(yīng)用SPSS統(tǒng)計軟件分別對變風(fēng)量、定風(fēng)量、風(fēng)機(jī)盤管加新風(fēng)三種空調(diào)系統(tǒng)的能耗模擬結(jié)果進(jìn)行了多元非線性預(yù)測回歸分析。對各回歸模型的合理性和正確性進(jìn)行了理論分析,并選取了上海某辦公大樓作為實(shí)測對象,對回歸預(yù)測模型的可靠性進(jìn)行了檢驗(yàn)。本研究著重考慮了影響建筑能耗的20個設(shè)計參數(shù),根據(jù)正交試驗(yàn)設(shè)計方案,使用EQUEST能耗模擬軟件得到大量合理的模擬數(shù)據(jù),并利用統(tǒng)計軟件SPSS對試驗(yàn)數(shù)據(jù)進(jìn)行了多元非線性回歸分析,得到了適用于夏熱冬冷地區(qū)典型辦公建筑的能耗預(yù)測模型。該模型能較為準(zhǔn)確的預(yù)測采用變風(fēng)量、定風(fēng)量、風(fēng)機(jī)盤管加新風(fēng)空調(diào)系統(tǒng)形式的典型辦公建筑能耗,只需通過輸入相關(guān)的建筑圍護(hù)結(jié)構(gòu)和空調(diào)系統(tǒng)設(shè)計參數(shù),即可簡單快速地計算出此設(shè)計參數(shù)下的典型辦公建筑能耗,為建筑設(shè)計師提供了一種便捷的能耗計算和節(jié)能設(shè)計方法。
[Abstract]:As the main part of Chinese buildings, public buildings consume more than ten times as much energy as residential buildings, while office buildings are the main parts of public buildings. With the rapid development of urban construction in recent years, its building area has been growing rapidly, and it also marks the rapid development of our country's economic level. In this study, the energy consumption of typical office buildings in hot summer and cold winter area is studied, and the regression equation of energy consumption for typical office buildings in this area is obtained. It provides a certain reference for energy consumption analysis and energy saving design of typical office buildings. Firstly, according to the related building energy saving design standards and referring to the relevant references, the typical office building model in hot summer and cold winter area is established, and the energy consumption level of the typical office building model is simulated by using EQUEST software. The rationality of typical office building model is analyzed. Secondly, using the typical office building model, single factor sensitivity method is used to calculate the sensitivity of each factor to air conditioning system energy consumption. The results show that the energy consumption of office buildings is affected by various factors, from large to small air conditioning system form, personnel density, window shade coefficient, water system frequency conversion, relative humidity control range, fan unit air consumption power, Average window / wall ratio, per capita fresh air volume, pump efficiency, cooling COP, summer indoor design temperature, heat recovery efficiency, winter indoor design temperature, equipment power density, boiler efficiency, lighting power density, external wall heat transfer coefficient, external window heat transfer coefficient, Heat transfer coefficient of roof, absorption coefficient of solar radiation, building orientation, heat transfer coefficient of ground. Thirdly, according to the influence factors of energy consumption, 20 factors and 4 levels of energy consumption simulation orthogonal test scheme is designed, and reasonable test data are obtained at the least number of times. According to the orthogonal test scheme, the office buildings with variable air volume, fixed air volume, fan coil unit plus fresh air were simulated for 64 times respectively, and the original data needed for regression analysis were obtained. Finally, on the basis of a large number of simulation data, the simulation results of energy consumption of VAV, VAV, Fan-Coil Unit and fresh Air conditioning system are analyzed by using SPSS statistical software, respectively, and multivariate nonlinear predictive regression analysis is carried out for the energy consumption simulation results of three kinds of air conditioning systems. The rationality and correctness of each regression model are theoretically analyzed, and the reliability of the regression prediction model is tested by selecting a certain office building in Shanghai as the measured object. This study focuses on 20 design parameters that affect building energy consumption. According to the orthogonal design scheme, a large number of reasonable simulation data are obtained by using EQUEST energy consumption simulation software. The multivariate nonlinear regression analysis of the test data is carried out by using the statistical software SPSS, and the energy consumption prediction model suitable for typical office buildings in hot summer and cold winter area is obtained. The model can accurately predict the energy consumption of a typical office building in the form of variable air volume, constant air volume, fan coil unit plus fresh air conditioning system, and only need to input relevant building envelope structure and air conditioning system design parameters. The energy consumption of typical office buildings under this design parameter can be calculated simply and quickly, which provides a convenient energy consumption calculation and energy saving design method for architectural designers.
【學(xué)位授予單位】：長沙理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TU111.195
本文編號：2188306
[Abstract]:As the main part of Chinese buildings, public buildings consume more than ten times as much energy as residential buildings, while office buildings are the main parts of public buildings. With the rapid development of urban construction in recent years, its building area has been growing rapidly, and it also marks the rapid development of our country's economic level. In this study, the energy consumption of typical office buildings in hot summer and cold winter area is studied, and the regression equation of energy consumption for typical office buildings in this area is obtained. It provides a certain reference for energy consumption analysis and energy saving design of typical office buildings. Firstly, according to the related building energy saving design standards and referring to the relevant references, the typical office building model in hot summer and cold winter area is established, and the energy consumption level of the typical office building model is simulated by using EQUEST software. The rationality of typical office building model is analyzed. Secondly, using the typical office building model, single factor sensitivity method is used to calculate the sensitivity of each factor to air conditioning system energy consumption. The results show that the energy consumption of office buildings is affected by various factors, from large to small air conditioning system form, personnel density, window shade coefficient, water system frequency conversion, relative humidity control range, fan unit air consumption power, Average window / wall ratio, per capita fresh air volume, pump efficiency, cooling COP, summer indoor design temperature, heat recovery efficiency, winter indoor design temperature, equipment power density, boiler efficiency, lighting power density, external wall heat transfer coefficient, external window heat transfer coefficient, Heat transfer coefficient of roof, absorption coefficient of solar radiation, building orientation, heat transfer coefficient of ground. Thirdly, according to the influence factors of energy consumption, 20 factors and 4 levels of energy consumption simulation orthogonal test scheme is designed, and reasonable test data are obtained at the least number of times. According to the orthogonal test scheme, the office buildings with variable air volume, fixed air volume, fan coil unit plus fresh air were simulated for 64 times respectively, and the original data needed for regression analysis were obtained. Finally, on the basis of a large number of simulation data, the simulation results of energy consumption of VAV, VAV, Fan-Coil Unit and fresh Air conditioning system are analyzed by using SPSS statistical software, respectively, and multivariate nonlinear predictive regression analysis is carried out for the energy consumption simulation results of three kinds of air conditioning systems. The rationality and correctness of each regression model are theoretically analyzed, and the reliability of the regression prediction model is tested by selecting a certain office building in Shanghai as the measured object. This study focuses on 20 design parameters that affect building energy consumption. According to the orthogonal design scheme, a large number of reasonable simulation data are obtained by using EQUEST energy consumption simulation software. The multivariate nonlinear regression analysis of the test data is carried out by using the statistical software SPSS, and the energy consumption prediction model suitable for typical office buildings in hot summer and cold winter area is obtained. The model can accurately predict the energy consumption of a typical office building in the form of variable air volume, constant air volume, fan coil unit plus fresh air conditioning system, and only need to input relevant building envelope structure and air conditioning system design parameters. The energy consumption of typical office buildings under this design parameter can be calculated simply and quickly, which provides a convenient energy consumption calculation and energy saving design method for architectural designers.
【學(xué)位授予單位】：長沙理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TU111.195
【參考文獻(xiàn)】
相關(guān)碩士學(xué)位論文 前1條
1 陳會標(biāo);重慶市建筑節(jié)能政策研究[D];重慶大學(xué);2012年
，本文編號：2188306
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