Spatial distribution of urban building energy consumption by end use

被引:313
作者
Howard, B. [1 ]
Parshall, L. [2 ]
Thompson, J. [3 ]
Hammer, S. [2 ]
Dickinson, J. [4 ]
Modi, V. [1 ]
机构
[1] Columbia Univ, Dept Mech Engn, New York, NY 10027 USA
[2] Columbia Univ, Ctr Energy Marine Transportat & Publ Policy, New York, NY 10025 USA
[3] Columbia Univ, Earth Inst, New York, NY 10027 USA
[4] Mayors Off Long Term Planning & Sustainabil, New York, NY 10007 USA
关键词
Urban energy planning; Building energy consumption; GIS; CITIES;
D O I
10.1016/j.enbuild.2011.10.061
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The current energy distribution infrastructure in many urban areas either cannot support anticipated future energy use or would require significant rehabilitation even if current use were maintained. Understanding the dynamics of local energy use is an important precondition of understanding how to remedy this situation. This paper builds a model to estimate the building sector energy end-use intensity (kwh/m(2) floor area) for space heating, domestic hot water, electricity for space cooling and electricity for non-space cooling applications in New York City. The model assumes that such end use is primarily dependent on building function, whether residential, educational or office for example, and not on construction type or the age of the building. The modeled intensities are calibrated using ZIP code level electricity and fuel use data reported by the New York City Mayor's Office of Long-Term Planning and Sustainability. The end-use ratios were derived from the Residential and Commercial Building Energy Consumption Survey's Public Use Microdata. The results provide the ability to estimate the end-use energy consumption of each tax lot in New York City. The resulting spatially explicit energy consumption can be a valuable tool for determining cost-effectiveness and policies for implementing energy efficiency and renewable energy programs. (C) 2011 Published by Elsevier B.V.
引用
收藏
页码:141 / 151
页数:11
相关论文
共 22 条
[1]   Sustainable cities - modelling urban energy supply and demand [J].
Brownsword, RA ;
Fleming, PD ;
Powell, JC ;
Pearsall, N .
APPLIED ENERGY, 2005, 82 (02) :167-180
[2]  
City of Chicago, 2007, CHICAGO CLIMATE ACTI
[3]  
Energy Information Administration, 1998, LOOK COMM BUILD 1995
[4]   Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles [J].
Heiple, Shem ;
Sailor, David J. .
ENERGY AND BUILDINGS, 2008, 40 (08) :1426-1436
[5]  
Huang Y.J., 1991, 481 PROTOTYPICAL COM
[6]  
Hyams M.A, 2010, MICROGRIDS ASSESSMEN
[7]   Modelling the electricity consumption of cities:: effect of urban density [J].
Larivière, I ;
Lafrance, G .
ENERGY ECONOMICS, 1999, 21 (01) :53-66
[8]  
Mayor or London, 2008, LONDON PLAN SPATIAL
[9]  
Meyers E., 2001, The Electricity Journal, P89, DOI [10.1016/S1040-6190(00)00180-9, DOI 10.1016/S1040-6190(00)00180-9]
[10]  
New York City Department of City Planning, 2009, MAPPLUTO REL 09C