TY - JOUR
T1 - Using geospatial information and building energy simulation to construct urban residential energy use map with high resolution for Taiwan cities
AU - Lin, Feng Yi
AU - Lin, Tzu Ping
AU - Hwang, Ruey Lung
N1 - Funding Information:
We offer our sincere appreciation for grant support from the Ministry of Science and Technology, Taiwan under the project number 104-2221-E-239-021-MY2. The official in the funding source was not involved in the study design, the collection, analysis and interpretation of data, the writing of report, or the decision to submit the paper for publication.
Funding Information:
We offer our sincere appreciation for grant support from the Ministry of Science and Technology , Taiwan under the project number 104-2221-E-239-021-MY2. The official in the funding source was not involved in the study design, the collection, analysis and interpretation of data, the writing of report, or the decision to submit the paper for publication.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/12/15
Y1 - 2017/12/15
N2 - An urban energy use map that illustrates the building energy consumption of a city can facilitate the formulation of energy policies. This paper used dynamic simulations of building energy consumption and building information from a geographic information system were used to develop urban energy use maps with high spatial resolutions for two urban areas in southern Taiwan. 4000 models for typical residential layouts in Taiwan were generated through the Monte Carlo method and the benchmark values of the buildings’ energy use intensity (EUI) were identified through building energy simulation and uncertainty analysis. Accordingly, the benchmark EUI values, building data, and population data were used as input parameters to derive a convenient equation for predicting energy consumption in each grid of the urban energy use maps. A comparison of the measured and predicted energy consumptions confirmed the precision of this equation. To sum up, relevant data are readily available and can be exploited to prepare urban energy use maps for other large cities in Taiwan. Moreover, the urban energy use map with high spatial resolution can present the differences in small areas, making it an important reference aid for determining energy policies
AB - An urban energy use map that illustrates the building energy consumption of a city can facilitate the formulation of energy policies. This paper used dynamic simulations of building energy consumption and building information from a geographic information system were used to develop urban energy use maps with high spatial resolutions for two urban areas in southern Taiwan. 4000 models for typical residential layouts in Taiwan were generated through the Monte Carlo method and the benchmark values of the buildings’ energy use intensity (EUI) were identified through building energy simulation and uncertainty analysis. Accordingly, the benchmark EUI values, building data, and population data were used as input parameters to derive a convenient equation for predicting energy consumption in each grid of the urban energy use maps. A comparison of the measured and predicted energy consumptions confirmed the precision of this equation. To sum up, relevant data are readily available and can be exploited to prepare urban energy use maps for other large cities in Taiwan. Moreover, the urban energy use map with high spatial resolution can present the differences in small areas, making it an important reference aid for determining energy policies
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U2 - 10.1016/j.enbuild.2017.01.040
DO - 10.1016/j.enbuild.2017.01.040
M3 - Article
AN - SCOPUS:85009754155
SN - 0378-7788
VL - 157
SP - 166
EP - 175
JO - Energy and Buildings
JF - Energy and Buildings
ER -
