Urban Heat Island Effect on Building Electricity use

Urban Heat Island Effect on Building Electricity use

Menglin S. Jin

Contact

Rebecca Huff

Contact

Urban Heat Island Effect on Building Electricity use

Article Fingerprint

ReserarchID

222AF

Urban Heat Island Effect on Building Electricity use Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

The campus-wide electricity use in University of Maryland, College Park (UMCP) is highly correlated with the outdoor 2-meter surface air temperature, at hourly, daily, and monthly scales, with the correlation coefficients normally > 0.70 in 2014 and 2015. Nevertheless, 2-meter surface air temperature has evident spatial heterogeneity, determined by underlying surface types and surrounding vegetation fraction, with up-to 6 °F difference between a roof on campus and a vegetation-covered airport for the clear days on Julys 2014 and 2015. Such urban heat island effect (UHI) signal suggests that urban local surface air temperatures, instead of those in an nearby airport, may be needed in order to accurately forecast the electricity use for a given urban community. In addition to outdoor weather conditions, campus electricity use amount is also affected by other factors such as human behavioral pattern, for example, weekdays vs weekends. Therefore, interdisciplinary effort from weather system, society, and mechanical engineering is needed to fully understand and thus forecast electricity use.

References

25 Cites in Article

Reference Format

Byrd Heating,Air Conditioning (2015). Psychrometric Processes for Heating and Air Conditioning.
None None (2015). Building Technologies Program Multi-Year Program Plan: Research and Development 2008.
R Dickinson (1992). Climate System Modeling: Land Surface.
Runbin Duan,Clifford Fedler,John Borrelli (2012). Comparison of Methods to Estimate Saturated Hydraulic Conductivity in Texas Soils with Grass.
W Goetzler,M Guernsey,J Young (2014). Research & Development Roadmap for Emerging HVAC Technologies.
Menglin Jin,Robert Dickinson,Da Zhang (2005). The Footprint of Urban Areas on Global Climate as Characterized by MODIS.
Jin,M,R Dickinson (2010). Land Surface Skin Temperature Climatology: Benefitting from the Strengths of Satellite Observations.
M Jin (2012). Developing an Index to Measure Urban Heat Island Effect Using Satellite Land Skin Temperature and Land Cover Observations.
Hengyue Zhang,Menglin Jin,Martin Leach (2017). A Study of the Oklahoma City Urban Heat Island Effect Using a WRF/Single-Layer Urban Canopy Model, a Joint Urban 2003 Field Campaign, and MODIS Satellite Observations.
M Jin (2018). Deep snow surrounds the Flatiron Building, New York.
Jiahe Lang,Shihua Lyu,Zhaoguo Li,Yaoming Ma,Dongsheng Su (2018). An Investigation of Ice Surface Albedo and Its Influence on the High-Altitude Lakes of the Tibetan Plateau.
H Landsberg (1975). Atmospheric changes in a growing community.
Paul Markowski,Yvette Richardson (2010). Mesoscale Meteorology in Midlatitudes.
T Oke (1982). The energetic basis of the urban heat island.
T Oke (1987). Boundary Layer Climates.
A Ramirez,C Munoz (2012). Albedo Effect and Energy Efficiency of Cities.
P Shahmohamadi,A Che-Ani,I Etessam,K Maulud,N Tawil (2011). Healthy Environment: The Need to Mitigate Urban Heat Island Effects on Human Health.
Carsten Standfuss,Michel Viollier,Robert Kandel,Jean Duvel (2001). Regional Diurnal Albedo Climatology and Diurnal Time Extrapolation of Reflected Solar Flux Observations: Application to the ScaRaB Record.
A Touchaei,M Hosseini,H Akbari (2016). Energy savings potentials of commercial buildings by urban heat island reduction strategies in Montreal (Canada).
(2008). Urban Heat Islands (Multispectral Thermal Infrared).
Lai Wei,Wei Tian,Jian Zuo,Zhi-Yong Yang,Yunliang Liu,Song Yang (2016). Effects of Building Form on Energy Use for Buildings in Cold Climate Regions.
Qihao Weng,Dengsheng Lu,Jacquelyn Schubring (2004). Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies.
(2014). World Urbanization Prospects 2018: Highlights.
Lingling Zhao,Jun Xia,Chong-Yu Xu,Zhonggen Wang,Leszek Sobkowiak,Cangrui Long (2013). Evapotranspiration estimation methods in hydrological models.
U Perlman (2017). USGS - Irma High Water Marks.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Menglin S. Jin. 2019. \u201cUrban Heat Island Effect on Building Electricity use\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 19 (GJRE Volume 19 Issue J2): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJRE Volume 19 Issue J2
Pg. 1- 12

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Not Found

Classification

GJRE-J Classification: FOR Code: 580799

Submission ReceivedDecember 13, 2018
Peer Review Double Blind
Handling Editor
Accepted January 4, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

April 8, 2019

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 132

Country: United States

Subject: Global Journal of Research in Engineering - J: General Engineering

Authors: Menglin S. Jin, Rebecca Huff (PhD/Dr. count: 0)

View Count (all-time): 216

Total Views (Real + Logic): 2745

Total Downloads (simulated): 1415

Publish Date: 2019 04, Mon

Monthly Totals (Real + Logic):

Month 1: 58 views
Month 2: 33 views
Month 3: 45 views
Month 4: 29 views
Month 5: 56 views
Month 6: 41 views
Month 7: 39 views
Month 8: 31 views
Month 9: 39 views
Month 10: 23 views
Month 11: 28 views
Month 12: 28 views
Month 13: 36 views
Month 14: 19 views
Month 15: 39 views
Month 16: 41 views
Month 17: 32 views
Month 18: 21 views
Month 19: 47 views
Month 20: 31 views
Month 21: 27 views
Month 22: 21 views
Month 23: 34 views
Month 24: 23 views
Month 25: 17 views
Month 26: 20 views
Month 27: 43 views
Month 28: 13 views
Month 29: 22 views
Month 30: 27 views
Month 31: 25 views
Month 32: 37 views
Month 33: 20 views
Month 34: 28 views
Month 35: 27 views
Month 36: 36 views
Month 37: 37 views
Month 38: 33 views
Month 39: 25 views
Month 40: 36 views
Month 41: 28 views
Month 42: 18 views
Month 43: 32 views
Month 44: 15 views
Month 45: 28 views
Month 46: 24 views
Month 47: 20 views
Month 48: 27 views
Month 49: 48 views
Month 50: 18 views
Month 51: 31 views
Month 52: 37 views
Month 53: 16 views
Month 54: 19 views
Month 55: 40 views
Month 56: 25 views
Month 57: 39 views
Month 58: 26 views
Month 59: 34 views
Month 60: 30 views
Month 61: 48 views
Month 62: 23 views
Month 63: 28 views
Month 64: 24 views
Month 65: 31 views
Month 66: 30 views
Month 67: 42 views
Month 68: 43 views
Month 69: 20 views
Month 70: 26 views
Month 71: 33 views
Month 72: 17 views
Month 73: 29 views
Month 74: 17 views
Month 75: 32 views
Month 76: 31 views
Month 77: 18 views
Month 78: 27 views
Month 79: 41 views
Month 80: 28 views
Month 81: 30 views
Month 82: 30 views
Month 83: 51 views
Month 84: 48 views

Total Views: 2745

Total Downloads: 1415

2026 Trends

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]