Using WRF-Urban to Assess Summertime Air Conditioning Electric Loads and Their Impacts on Urban Weather in Beijing

Xiaoyu Xu, Fei Chen, Shuanghe Shen, Shiguang Miao, Michael Barlage, Wenli Guo, Alex Mahalov

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The air conditioning (AC) electric loads and their impacts on local weather over Beijing during a 5 day heat wave event in 2010 are investigated by using the Weather Research and Forecasting (WRF) model, in which the Noah land surface model with multiparameterization options (Noah-MP) is coupled to the multilayer Building Effect Parameterization and Building Energy Model (BEP+BEM). Compared to the legacy Noah scheme coupled to BEP+BEM, this modeling system shows a better performance, decreasing the root-mean-square error of 2 m air temperature to 1.9°C for urban stations. The simulated AC electric loads in suburban and rural districts are significantly improved by introducing the urban class-dependent building cooled fraction. Analysis reveals that the observed AC electric loads in each district are characterized by a common double peak at 3 p.m. and at 9 p.m. local standard time, and the incorporation of more realistic AC working schedules helps reproduce the evening peak. Waste heat from AC systems has a smaller effect (~1°C) on the afternoon 2 m air temperature than the evening one (1.5~2.4°C) if AC systems work for 24 h and vent sensible waste heat into air. Influences of AC systems can only reach up to ~400 m above the ground for the evening air temperature and humidity due to a shallower urban boundary layer than daytime. Spatially varying maps of AC working schedules and the ratio of sensible to latent waste heat release are critical for correctly simulating the cooling electric loads and capturing the thermal stratification of urban boundary layer.

Original languageEnglish (US)
Pages (from-to)2475-2490
Number of pages16
JournalJournal of Geophysical Research: Atmospheres
Volume123
Issue number5
DOIs
StatePublished - Mar 16 2018

Fingerprint

Electric loads
air conditioning
weather
Air conditioning
forecasting
China
waste heat
evening
Waste heat
heat
air temperature
air
schedules
Air
boundary layers
Boundary layers
boundary layer
Thermal stratification
root-mean-square errors
Vents

Keywords

  • AC electric loads
  • district-level verification
  • double-peak
  • impact on urban weather
  • WRF-Urban

ASJC Scopus subject areas

  • Geophysics
  • Oceanography
  • Forestry
  • Aquatic Science
  • Ecology
  • Condensed Matter Physics
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Physical and Theoretical Chemistry
  • Polymers and Plastics
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Materials Chemistry
  • Palaeontology

Cite this

Using WRF-Urban to Assess Summertime Air Conditioning Electric Loads and Their Impacts on Urban Weather in Beijing. / Xu, Xiaoyu; Chen, Fei; Shen, Shuanghe; Miao, Shiguang; Barlage, Michael; Guo, Wenli; Mahalov, Alex.

In: Journal of Geophysical Research: Atmospheres, Vol. 123, No. 5, 16.03.2018, p. 2475-2490.

Research output: Contribution to journalArticle

Xu, Xiaoyu ; Chen, Fei ; Shen, Shuanghe ; Miao, Shiguang ; Barlage, Michael ; Guo, Wenli ; Mahalov, Alex. / Using WRF-Urban to Assess Summertime Air Conditioning Electric Loads and Their Impacts on Urban Weather in Beijing. In: Journal of Geophysical Research: Atmospheres. 2018 ; Vol. 123, No. 5. pp. 2475-2490.
@article{b2a2663ba96f4dd488cf319d0aa21db3,
title = "Using WRF-Urban to Assess Summertime Air Conditioning Electric Loads and Their Impacts on Urban Weather in Beijing",
abstract = "The air conditioning (AC) electric loads and their impacts on local weather over Beijing during a 5 day heat wave event in 2010 are investigated by using the Weather Research and Forecasting (WRF) model, in which the Noah land surface model with multiparameterization options (Noah-MP) is coupled to the multilayer Building Effect Parameterization and Building Energy Model (BEP+BEM). Compared to the legacy Noah scheme coupled to BEP+BEM, this modeling system shows a better performance, decreasing the root-mean-square error of 2 m air temperature to 1.9°C for urban stations. The simulated AC electric loads in suburban and rural districts are significantly improved by introducing the urban class-dependent building cooled fraction. Analysis reveals that the observed AC electric loads in each district are characterized by a common double peak at 3 p.m. and at 9 p.m. local standard time, and the incorporation of more realistic AC working schedules helps reproduce the evening peak. Waste heat from AC systems has a smaller effect (~1°C) on the afternoon 2 m air temperature than the evening one (1.5~2.4°C) if AC systems work for 24 h and vent sensible waste heat into air. Influences of AC systems can only reach up to ~400 m above the ground for the evening air temperature and humidity due to a shallower urban boundary layer than daytime. Spatially varying maps of AC working schedules and the ratio of sensible to latent waste heat release are critical for correctly simulating the cooling electric loads and capturing the thermal stratification of urban boundary layer.",
keywords = "AC electric loads, district-level verification, double-peak, impact on urban weather, WRF-Urban",
author = "Xiaoyu Xu and Fei Chen and Shuanghe Shen and Shiguang Miao and Michael Barlage and Wenli Guo and Alex Mahalov",
year = "2018",
month = "3",
day = "16",
doi = "10.1002/2017JD028168",
language = "English (US)",
volume = "123",
pages = "2475--2490",
journal = "Journal of Geophysical Research: Atmospheres",
issn = "2169-897X",
publisher = "Wiley-Blackwell",
number = "5",

}

TY - JOUR

T1 - Using WRF-Urban to Assess Summertime Air Conditioning Electric Loads and Their Impacts on Urban Weather in Beijing

AU - Xu, Xiaoyu

AU - Chen, Fei

AU - Shen, Shuanghe

AU - Miao, Shiguang

AU - Barlage, Michael

AU - Guo, Wenli

AU - Mahalov, Alex

PY - 2018/3/16

Y1 - 2018/3/16

N2 - The air conditioning (AC) electric loads and their impacts on local weather over Beijing during a 5 day heat wave event in 2010 are investigated by using the Weather Research and Forecasting (WRF) model, in which the Noah land surface model with multiparameterization options (Noah-MP) is coupled to the multilayer Building Effect Parameterization and Building Energy Model (BEP+BEM). Compared to the legacy Noah scheme coupled to BEP+BEM, this modeling system shows a better performance, decreasing the root-mean-square error of 2 m air temperature to 1.9°C for urban stations. The simulated AC electric loads in suburban and rural districts are significantly improved by introducing the urban class-dependent building cooled fraction. Analysis reveals that the observed AC electric loads in each district are characterized by a common double peak at 3 p.m. and at 9 p.m. local standard time, and the incorporation of more realistic AC working schedules helps reproduce the evening peak. Waste heat from AC systems has a smaller effect (~1°C) on the afternoon 2 m air temperature than the evening one (1.5~2.4°C) if AC systems work for 24 h and vent sensible waste heat into air. Influences of AC systems can only reach up to ~400 m above the ground for the evening air temperature and humidity due to a shallower urban boundary layer than daytime. Spatially varying maps of AC working schedules and the ratio of sensible to latent waste heat release are critical for correctly simulating the cooling electric loads and capturing the thermal stratification of urban boundary layer.

AB - The air conditioning (AC) electric loads and their impacts on local weather over Beijing during a 5 day heat wave event in 2010 are investigated by using the Weather Research and Forecasting (WRF) model, in which the Noah land surface model with multiparameterization options (Noah-MP) is coupled to the multilayer Building Effect Parameterization and Building Energy Model (BEP+BEM). Compared to the legacy Noah scheme coupled to BEP+BEM, this modeling system shows a better performance, decreasing the root-mean-square error of 2 m air temperature to 1.9°C for urban stations. The simulated AC electric loads in suburban and rural districts are significantly improved by introducing the urban class-dependent building cooled fraction. Analysis reveals that the observed AC electric loads in each district are characterized by a common double peak at 3 p.m. and at 9 p.m. local standard time, and the incorporation of more realistic AC working schedules helps reproduce the evening peak. Waste heat from AC systems has a smaller effect (~1°C) on the afternoon 2 m air temperature than the evening one (1.5~2.4°C) if AC systems work for 24 h and vent sensible waste heat into air. Influences of AC systems can only reach up to ~400 m above the ground for the evening air temperature and humidity due to a shallower urban boundary layer than daytime. Spatially varying maps of AC working schedules and the ratio of sensible to latent waste heat release are critical for correctly simulating the cooling electric loads and capturing the thermal stratification of urban boundary layer.

KW - AC electric loads

KW - district-level verification

KW - double-peak

KW - impact on urban weather

KW - WRF-Urban

UR - http://www.scopus.com/inward/record.url?scp=85044471932&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044471932&partnerID=8YFLogxK

U2 - 10.1002/2017JD028168

DO - 10.1002/2017JD028168

M3 - Article

AN - SCOPUS:85044471932

VL - 123

SP - 2475

EP - 2490

JO - Journal of Geophysical Research: Atmospheres

JF - Journal of Geophysical Research: Atmospheres

SN - 2169-897X

IS - 5

ER -