The effect of global climate change, population distribution, and climate mitigation on building energy use in the U.S. and China

Climate change will affect the energy system in a number of ways, one of which is through changes in demands for heating and cooling in buildings. Understanding the potential effect of climate change on heating and cooling demands requires taking into account not only the manner in which the building sector might evolve over time, but also important uncertainty about the nature of climate change itself. In this study, we explore the uncertainty in climate change impacts on heating and cooling requirement by constructing estimates of heating and cooling degree days (HDD/CDDs) for both reference (no-policy) and 550 ppmv CO2 concentration pathways built from three different Global Climate Models (GCMs) output and three scenarios of gridded population distribution. The implications that changing climate and population distribution might have for building energy consumption in the U.S. and China are then explored by using the results of HDD/CDDs as inputs to a detailed, building energy model, nested in the long-term global integrated assessment framework, Global Change Assessment Model (GCAM). The results across the modeled changes in climate and population distributions indicate that unabated climate change would cause building sector’s final energy consumption to decrease modestly (6 % decrease or less depending on climate models) in both the U.S. and China by the end of the century as decreased heating consumption more than offsets increased cooling using primarily electricity. However, global climate change virtually has negligible effect on total CO2 emissions in the buildings sector in both countries. The results also indicate more substantial implications for the fuel mix with increases in electricity and decreases in other fuels, which may be consistent with climate mitigation goals. The variation in results across all scenarios due to variation of population distribution is smaller than variation due to the use of different climate models.

[1]  John P. Weyant,et al.  Electrification of the economy and CO2 emissions mitigation , 2006 .

[2]  A. Amato,et al.  Regional Energy Demand Responses To Climate Change: Methodology And Application To The Commonwealth Of Massachusetts , 2005 .

[3]  Jiyong Eom,et al.  China's Building Energy Use: A Long-Term Perspective based on a Detailed Assessment , 2012 .

[4]  Jürgen P. Kropp,et al.  Heating and cooling energy demand and related emissions of the German residential building stock under climate change , 2011 .

[5]  Bert de Vries,et al.  Model projections for household energy use in India , 2011 .

[6]  T. Wilbanks,et al.  Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[7]  John F. B. Mitchell,et al.  The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments , 2000 .

[8]  K. Taylor,et al.  The Community Climate System Model , 2001 .

[9]  David Rind,et al.  Comparison of Model and Observed Regional Temperature Changes During the Past 40 Years , 2000 .

[10]  Nebojsa Nakicenovic,et al.  Greenhouse Gas Emissions Scenarios , 2000 .

[11]  M. Schlesinger,et al.  Country-Specific Market Impacts of Climate Change , 2000 .

[12]  Brian C. O'Neill,et al.  Urban and rural energy use and carbon dioxide emissions in Asia , 2012 .

[13]  Torben K. Mideksa,et al.  The impact of climate change on the electricity market: A review , 2010 .

[14]  Detlef P. van Vuuren,et al.  Model projections for household energy use in developing countries , 2012 .

[15]  J. Palutikof,et al.  Climate change 2007 : impacts, adaptation and vulnerability , 2001 .

[16]  Christos Giannakopoulos,et al.  Trends in energy load demand for Athens, Greece: weather and non-weather related factors , 2006 .

[17]  Frans Berkhout,et al.  Industry, settlement and society , 2007 .

[18]  L. Clarke,et al.  Climate Policy and the Long-Term Evolution of the U.S. Buildings Sector , 2007 .

[19]  Alexei G. Sankovski,et al.  Special report on emissions scenarios , 2000 .

[20]  Brian C. O'Neill,et al.  Regional, national, and spatially explicit scenarios of demographic and economic change based on SRES. Technol Forecast Soc Chang , 2007 .

[21]  O. Edenhofer,et al.  Renewable Energy Sources and Climate Change Mitigation , 2011 .

[22]  M. Sale,et al.  Effects of Climate Change on Energy Production and Use in the United States , 2008 .

[23]  D. Sailor.  Relating residential and commercial sector electricity loads to climate : evaluating state level sensitivities and vulnerabilities , 2001 .

[24]  Hüsamettin Bulut,et al.  Analysis of variable-base heating and cooling degree-days for Turkey , 2001 .

[25]  D. Vuuren,et al.  Modeling global residential sector energy demand for heating and air conditioning in the context of climate change , 2009 .

[26]  James J. Dooley,et al.  Stabilization of CO2 in a B2 world: insights on the roles of carbon capture and disposal, hydrogen, and transportation technologies , 2004 .

[27]  O. Edenhofer,et al.  Renewable energy sources and climate change mitigation : special report of the Intergovernmental Panel on Climate Change , 2011 .