A new calculation method for shape coefficient of residential building using Google Earth

Abstract Shape coefficient is a key factor to evaluate building energy efficiency. But few investigations have been done on calculating shape coefficient for existing building using Google Earth. Based on Google Earth, GIS slope analysis, astronomy principle and geometry, a new calculation method for shape coefficient of residential building is presented in this paper. Conditions such as date of shooting RS image, slope angle, solar elevation angle and solar azimuth are discussed for its practical application. From a case study of residential buildings in Lin’an city, the new method is found to be more efficient than field measurement at the same precision level. Due to its great convenience in calculating building shape coefficient this new method is especially applicable to evaluate energy-saving potential of existing buildings in a certain area.

[1]  Toke Rammer Nielsen,et al.  Simple tool to evaluate energy demand and indoor environment in the early stages of building design , 2005 .

[2]  Werner Pessenlehner,et al.  BUILDING MORPHOLOGY, TRANSPARENCE, AND ENERGY PERFORMANCE , 2003 .

[3]  Xavier García Casals,et al.  Analysis of building energy regulation and certification in Europe: Their role, limitations and differences , 2006 .

[4]  J. C. Lam,et al.  Energy performance of building envelopes in different climate zones in China , 2008 .

[5]  Moncef Krarti,et al.  A simplified analysis method to predict the impact of shape on annual energy use for office buildings , 2007 .

[6]  Petr Cizek,et al.  The ethics of Google Earth: crossing thresholds from spatial data to landscape visualisation. , 2009, Journal of environmental management.

[7]  Long Enshen,et al.  Are the relative variation rates (RVRs) approximate in different cities with the same increase of shape coefficient , 2005 .

[8]  Rossano Albatici,et al.  Bioclimatic design of buildings considering heating requirements in Italian climatic conditions. A s , 2011 .

[9]  Gül Koçlar Oral,et al.  Building form for cold climatic zones related to building envelope from heating energy conservation point of view , 2003 .

[10]  Xiaoling Liu,et al.  Green Roof Assessment by GIS and Google Earth , 2011 .

[11]  J. Virgone,et al.  Design of buildings shape and energetic consumption , 2001 .

[12]  Moncef Krarti,et al.  Impact of building shape on thermal performance of office buildings in Kuwait , 2009 .

[13]  Gül Koçlar Oral,et al.  The limit U values for building envelope related to building form in temperate and cold climatic zones , 2002 .

[14]  Liwei Tian,et al.  Sensitivity analysis of energy performance for high-rise residential envelope in hot summer and cold winter zone of China , 2013 .

[15]  Yan Ding,et al.  Investigation on the influencing factors of energy consumption and thermal comfort for a passive solar house with water thermal storage wall , 2013 .