Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles

Shem Heiple, David Sailor

Research output: Contribution to journalArticle

160 Citations (Scopus)

Abstract

A technique is presented for estimating hourly and seasonal energy consumption profiles in the building sector at spatial scales down to the individual taxlot or parcel. The method combines annual building energy simulations for city-specific prototypical buildings and commonly available geospatial data in a Geographical Information System (GIS) framework. Hourly results can be extracted for any day and exported as a raster output at spatial scales as fine as an individual parcel (<100 m). This method can be applied to virtually any large U.S. city to obtain day-specific estimates of electricity and natural gas consumption within the residential and commercial sectors. As a demonstration this method has been applied to Houston TX. When the resulting profiles were averaged over 1.33 km grid cells, the resulting peak energy consumption within the urban core was found to be greater than 100 W/m2. The resulting profiles can be used to estimate anthropogenic sensible and latent waste heat emissions associated with building energy consumption. The target application for this approach is urban scale atmospheric modeling in support of urban heat island and air quality studies. In such applications the inclusion of high spatial and temporal resolution waste heat data represents a significant advancement.

Original languageEnglish (US)
Pages (from-to)1426-1436
Number of pages11
JournalEnergy and Buildings
Volume40
Issue number8
DOIs
StatePublished - 2008
Externally publishedYes

Fingerprint

Energy utilization
Waste heat
Air quality
Natural gas
Information systems
Demonstrations
Electricity
Hot Temperature

Keywords

  • Anthropogenic heating
  • Building energy modeling
  • DoE-2
  • eQuest
  • GIS
  • Prototypical buildings
  • Waste heat emissions

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Civil and Structural Engineering

Cite this

@article{901f6ef26a9c4f03b5b2952bfe61faa5,
title = "Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles",
abstract = "A technique is presented for estimating hourly and seasonal energy consumption profiles in the building sector at spatial scales down to the individual taxlot or parcel. The method combines annual building energy simulations for city-specific prototypical buildings and commonly available geospatial data in a Geographical Information System (GIS) framework. Hourly results can be extracted for any day and exported as a raster output at spatial scales as fine as an individual parcel (<100 m). This method can be applied to virtually any large U.S. city to obtain day-specific estimates of electricity and natural gas consumption within the residential and commercial sectors. As a demonstration this method has been applied to Houston TX. When the resulting profiles were averaged over 1.33 km grid cells, the resulting peak energy consumption within the urban core was found to be greater than 100 W/m2. The resulting profiles can be used to estimate anthropogenic sensible and latent waste heat emissions associated with building energy consumption. The target application for this approach is urban scale atmospheric modeling in support of urban heat island and air quality studies. In such applications the inclusion of high spatial and temporal resolution waste heat data represents a significant advancement.",
keywords = "Anthropogenic heating, Building energy modeling, DoE-2, eQuest, GIS, Prototypical buildings, Waste heat emissions",
author = "Shem Heiple and David Sailor",
year = "2008",
doi = "10.1016/j.enbuild.2008.01.005",
language = "English (US)",
volume = "40",
pages = "1426--1436",
journal = "Energy and Buildings",
issn = "0378-7788",
publisher = "Elsevier BV",
number = "8",

}

TY - JOUR

T1 - Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles

AU - Heiple, Shem

AU - Sailor, David

PY - 2008

Y1 - 2008

N2 - A technique is presented for estimating hourly and seasonal energy consumption profiles in the building sector at spatial scales down to the individual taxlot or parcel. The method combines annual building energy simulations for city-specific prototypical buildings and commonly available geospatial data in a Geographical Information System (GIS) framework. Hourly results can be extracted for any day and exported as a raster output at spatial scales as fine as an individual parcel (<100 m). This method can be applied to virtually any large U.S. city to obtain day-specific estimates of electricity and natural gas consumption within the residential and commercial sectors. As a demonstration this method has been applied to Houston TX. When the resulting profiles were averaged over 1.33 km grid cells, the resulting peak energy consumption within the urban core was found to be greater than 100 W/m2. The resulting profiles can be used to estimate anthropogenic sensible and latent waste heat emissions associated with building energy consumption. The target application for this approach is urban scale atmospheric modeling in support of urban heat island and air quality studies. In such applications the inclusion of high spatial and temporal resolution waste heat data represents a significant advancement.

AB - A technique is presented for estimating hourly and seasonal energy consumption profiles in the building sector at spatial scales down to the individual taxlot or parcel. The method combines annual building energy simulations for city-specific prototypical buildings and commonly available geospatial data in a Geographical Information System (GIS) framework. Hourly results can be extracted for any day and exported as a raster output at spatial scales as fine as an individual parcel (<100 m). This method can be applied to virtually any large U.S. city to obtain day-specific estimates of electricity and natural gas consumption within the residential and commercial sectors. As a demonstration this method has been applied to Houston TX. When the resulting profiles were averaged over 1.33 km grid cells, the resulting peak energy consumption within the urban core was found to be greater than 100 W/m2. The resulting profiles can be used to estimate anthropogenic sensible and latent waste heat emissions associated with building energy consumption. The target application for this approach is urban scale atmospheric modeling in support of urban heat island and air quality studies. In such applications the inclusion of high spatial and temporal resolution waste heat data represents a significant advancement.

KW - Anthropogenic heating

KW - Building energy modeling

KW - DoE-2

KW - eQuest

KW - GIS

KW - Prototypical buildings

KW - Waste heat emissions

UR - http://www.scopus.com/inward/record.url?scp=43049138386&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=43049138386&partnerID=8YFLogxK

U2 - 10.1016/j.enbuild.2008.01.005

DO - 10.1016/j.enbuild.2008.01.005

M3 - Article

VL - 40

SP - 1426

EP - 1436

JO - Energy and Buildings

JF - Energy and Buildings

SN - 0378-7788

IS - 8

ER -