Energy Planningoriented Simplified Models of Envelope Dynamic Load Prediction for Individual Buildings
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TU831.2

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    Abstract:

    A simplified model of envelope HAVC load prediction for individual building was proposed, in which the number of input parameters was reduced to six, and prediction accuracy guaranteed. This building thermal dynamic model was established with the open source library of Buildings Modelica Library developed by Lawrence Berkeley National Laboratory. The linear aggregation method was used to reduce the order of simplified model, in order to accelerate calculation. This simplified model makes possible the fast calculation of HVAC load for each individual building, and hence provides the method basis to expand to the regional scale simulation. Finally, discussion was conducted to expand the method in regional dynamic load prediction in the future.

    Reference
    [1] SIGNOR R, WESTPHAL F S, LAMBERTS R, Regression analysis of electric energy consumption and architectural variables of conditioned commercial buildings [C]. Seventh International IBPSA Conference. Rio de Janeiro, Brazil. August 13-15, 2001.
    [2] 王振江. 城市能源规划中建筑冷负荷预测方法研究[D]. 大连:大连理工大学土木工程学院, 2010.WANG Zhen jiang. Prediction of building air conditioning load for urban planning stage [D]. Dalian:Dalian University of Technology, Civil Engineering College 2010.
    [3] HEIPLE S, SAILOR D J. Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles [J]. Energy and Buildings, 2008, 40: 1426-1436.
    [4] KIM E-J, PLESSIS G. Urban energy simulation: Simplification and reduction of building envelope models [J]. Energy and Buildings. 2014:193-202.
    [5] DEQUE F, OLLIVIER F, POBLADOR A. Grey boxes used to represent buildings with a minimum number of geometric and thermal parameters [J]. Energy and Buildings. 2000, 31(1): 29-35.
    [6] PALOMO E, BONNEFOUS Y, DEQUE F. Guidance for the selection of a reduction technique for thermal model [C]. Proceedings of B S. Prague, Czech Republic. 1997.
    [7] 李康吉. 建筑室内环境建模-控制与优化及能耗预测[D]. 杭州:浙江大学控制科学与工程学院, 2013.LI Kangji. Modeling,Control and Optimization for IndoorEnvironment and Energy Consumption Prediction[D]. Hangzhou:Zhejiang University, College of Control Science and Engineering 2013.
    [8] MOORE B C. Principal component analysis in linear system: controllability, observability, and model reduction[C]. IEEE Transactions on Automatic Control, 1981, 26(1): 17-32.
    [9] 祝小平, 陈士橹. 一种简便的模型降阶处理方法[J]. 南京航空航天大学学报. 1994, 26(4) : 464-470.ZHU Xiaoping,CHEN Shilu. A simple model order reduction method [J]. Journal of nanjing university of aeronautics and astronautics.1994, 26(4) : 464-470.
    [10] 苏州同元软控信息技术有限公司. Modelica语言介绍[OL].百度,2015-01-22[2015-05-30]. http://wenku.baidu.com/link?url=ZXmCgv0-_K7Sw5gVzC4Ls-oh8Pa5bl2MachuGxMpLKh46g2vN2eIUUZ-J2GxmTxKV-YcQK449gBdjR2YYmGeOLTbMi2zb7FhESoaEHWW1oySuzhou Tong Yuan software company The introduction of Modelica language[OL].Baidu,2015-01-22[2015-05-30]. http://wenku.baidu.com/link?url=ZXmCgv0-_K7Sw5gVzC4Ls-oh8Pa5bl2MachuGxMpLKh46g2vN2eIUUZ-J2GxmTxKV-YcQK449gBdjR2YYmGeOLTbMi2zb7FhESoaEHWW1oy
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CHEN Shuqin, HE Xi, Lyu Xilin, KIM Euijong. Energy Planningoriented Simplified Models of Envelope Dynamic Load Prediction for Individual Buildings[J].同济大学学报(自然科学版),2017,45(07):1053~1060

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History
  • Received:July 31,2016
  • Revised:May 17,2017
  • Adopted:March 27,2017
  • Online: July 20,2017
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