Impacts of lighting density on heating and cooling loads in different climates in China

Abstract Changes in lighting load density affect not only energy use for electric lighting but also energy requirements for space heating and cooling. In general, a reduction in electric energy use would tend to increase space heating during the winter months and lower the cooling requirement in the summer. The implications for total building energy use, however, would vary, depending on the building and building services designs, its operation and the prevailing climates. This paper presents an analysis of the interactions between lighting and space heating/cooling loads in office buildings in the five major climatic zones—severe cold, cold, hot summer and cold winter, mild, and hot summer and warm winter—in China through building energy simulation using DOE-2.1E.

[1]  Danny H.W. Li,et al.  Evaluation of lighting performance in office buildings with daylighting controls , 2001 .

[2]  Joseph C. Lam,et al.  Energy analysis of commercial buildings in subtropical climates , 2000 .

[3]  Songqiao Zhao,et al.  Physical geography of China , 1986 .

[4]  A. O. Sezgen,et al.  Lighting/HVAC interactions and their effects on annual and peak HVAC requirements in commercial buildings , 1994 .

[5]  Jonathan G. Koomey,et al.  Interactions between lighting and space conditioning energy use in US commercial buildings , 2000 .

[6]  Danny H.W. Li,et al.  Long-Term Wind Speed Statistics and Implications for Outside Surface Thermal Resistance , 2000 .

[7]  W. Bordass,et al.  Energy performance of occupied non-domestic buildings: Assessment by analysing end-use energy consumptions , 1997 .

[8]  L. G. Spielvogel.  Office building energy use , 1982 .

[9]  Lang Siwei.  Current Situation and Progress of Energy Efficiency Design Standards in Buildings in China , 2002 .

[10]  Richard S Gates,et al.  Effect of data period-of-record on estimation of HVAC&R design temperatures , 2000 .

[11]  M. B. Ullah.  International Daylight Measurement Programme — Singapore data III: Building energy savings through daylighting , 1996 .

[12]  K. F. Johnson,et al.  Calculating lighting and HVAC interactions , 1993 .

[13]  Joseph C. Lam,et al.  A Statistical Approach to the Development of a Typical Meteorological Year for Hong Kong , 1996 .

[14]  Vice President,et al.  AMERICAN SOCIETY OF HEATING, REFRIGERATION AND AIR CONDITIONING ENGINEERS INC. , 2007 .

[15]  Joseph C. Lam,et al.  Sensitivity analysis of energy performance of office buildings , 1996 .

[16]  Danny H.W. Li,et al.  Electricity use characteristics of purpose-built office buildings in subtropical climates , 2004 .