Establish high-resolution hourly weather data for simulating building energy consumption in different regions

Feng Yi Lin, Ruey Lung Hwang, Tzu-Ping Lin

Research output: Contribution to journalConference article

Abstract

Due to the various local weather conditions in different regions of the city, the demand for air conditioning (AC) of housing is different, too. It happened occasionally to underestimate the energy consumption of AC in urban areas, because of using suburban/rural weather station data for building energy simulation. This study set up 34 automatic weather stations in the urban area of Tainan City, Taiwan for a year-round collection of local temperature and relative humidity data. Those weather measurement, the GIS information of a buffer zone and multiple regression analysis were used to establish the relationship between the weather factors, needed for the morphing approach, and the parameters of landscape use and cover. The buffer zone is an area of 1000×1000 m2 around the measured point, and is divided to two layers with upwind and downwind parts. Local hourly weather-year files for a whole of the city with a resolution of 200×200 m2 were generated by the morphing approach. With the different local hourly weather-year files, the AC-required hours and energy consumption from May to October for a typical residential with hybrid ventilation mode was obtained by using the EnergyPlus. And the cumulative UHI of each grid between May and October is calculated by taking the average of the five lowest temperatures as the reference value. The result shows that the number of AC hours of residential will increase by 10%, and the energy consumption increase from 1000 kWh to 2500 kWh, when long-term UHI intensity increases from 2000 °C-hour to 9000 °C-hour.

Original languageEnglish
Article number04032
JournalE3S Web of Conferences
Volume111
DOIs
Publication statusPublished - 2019 Aug 13
Event13th REHVA World Congress, CLIMA 2019 - Bucharest, Romania
Duration: 2019 May 262019 May 29

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air conditioning
Air conditioning
Energy utilization
weather
buffer zone
weather station
urban area
Regression analysis
Geographic information systems
Ventilation
multiple regression
ventilation
relative humidity
Atmospheric humidity
regression analysis
GIS
Temperature
energy consumption
simulation
energy

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Energy(all)
  • Earth and Planetary Sciences(all)

Cite this

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title = "Establish high-resolution hourly weather data for simulating building energy consumption in different regions",
abstract = "Due to the various local weather conditions in different regions of the city, the demand for air conditioning (AC) of housing is different, too. It happened occasionally to underestimate the energy consumption of AC in urban areas, because of using suburban/rural weather station data for building energy simulation. This study set up 34 automatic weather stations in the urban area of Tainan City, Taiwan for a year-round collection of local temperature and relative humidity data. Those weather measurement, the GIS information of a buffer zone and multiple regression analysis were used to establish the relationship between the weather factors, needed for the morphing approach, and the parameters of landscape use and cover. The buffer zone is an area of 1000×1000 m2 around the measured point, and is divided to two layers with upwind and downwind parts. Local hourly weather-year files for a whole of the city with a resolution of 200×200 m2 were generated by the morphing approach. With the different local hourly weather-year files, the AC-required hours and energy consumption from May to October for a typical residential with hybrid ventilation mode was obtained by using the EnergyPlus. And the cumulative UHI of each grid between May and October is calculated by taking the average of the five lowest temperatures as the reference value. The result shows that the number of AC hours of residential will increase by 10{\%}, and the energy consumption increase from 1000 kWh to 2500 kWh, when long-term UHI intensity increases from 2000 °C-hour to 9000 °C-hour.",
author = "Lin, {Feng Yi} and Hwang, {Ruey Lung} and Tzu-Ping Lin",
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Establish high-resolution hourly weather data for simulating building energy consumption in different regions. / Lin, Feng Yi; Hwang, Ruey Lung; Lin, Tzu-Ping.

In: E3S Web of Conferences, Vol. 111, 04032, 13.08.2019.

Research output: Contribution to journalConference article

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