Chapter
Mar 7, 2022

Characterizing Residential Energy Consumption Patterns in the Rural Midwest

Publication: Construction Research Congress 2022

ABSTRACT

Residential buildings consume a significant portion of energy and electricity in the US. The residential housing stock in rural areas of the US specifically is more likely to be older and less energy-efficient than those homes built in more urban areas. Improving the energy efficiency of such residential buildings includes benefits such as overall reduction in emissions resulting from building operations, and reduction in costs to the building occupants. In order to accomplish these goals, understanding the energy performance characteristics of buildings in these rural areas is important. This can help to better define which buildings are in greatest need of energy efficiency retrofits, and establish a framework by which to target such buildings for performance improvements through efforts such as utility-supported rebate programs. However, to date, the study of rural residential buildings has been limited, in part, due to the lack of available data and detailed information on buildings. In this research, through collaboration with the communities of Ames, Bloomfield, and Cedar Falls, Iowa, US, building energy use data and building characteristic data were used to assess the overall characteristics and energy performance of rural residential buildings. Using statistical analysis and data mining techniques, this study investigates the differential changes in energy use intensity (EUI) relative to the average built area, the building age, among others. Such evaluations can be used to design retrofit and rebate policies and programs that benefit both individual building occupants, and also address absolute levels of consumption now and moving forward.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Aksoezen, M., Daniel, M., Hassler, U., and Kohler, N. (2015). Building age as an indicator for energy consumption. Energy and Buildings, 87, 74–86.
Drehobl, A., and Ross, L. (2016). Lifting the high energy burden in America’s largest cities: How energy efficiency can improve low-income and underserved communities. American Council for an Energy-Efficient Economy, (April), 56. Retrieved from https://aceee.org/research-report/u1602.
Estiri, H. (2014). Building and household X-factors and energy consumption at the residential sector: A structural equation analysis of the effects of household and building characteristics on the annual energy consumption of US residential buildings. Energy Economics, 43, 178–184.
Ewing, R., and Rong, F. (2008). The impact of urban form on US residential energy use. Housing Policy Debate, 19(1), 1–30.
Fournier, E. D., Federico, F., Porse, E., and Pincetl, S. (2019). Effects of building size growth on residential energy efficiency and conservation in California. Applied Energy, 240, 446–452.
Gold, R., and Elliott, R. N. (2009). Where Have All the Data Gone?: The Crisis of Missing Energy Efficiency Data. American Council for an Energy-Efficient Economy.
Hernández, D. (2013). Energy insecurity: a framework for understanding energy, the built environment, and health among vulnerable populations in the context of climate change. American Public Health Association.
Huebner, G. M., and Mahdavi, A. (2019). A structured open data collection on occupant behaviour in buildings. Scientific Data, 6(1), 1–4.
Huebner, G., Shipworth, D., Hamilton, I., Chalabi, Z., and Oreszczyn, T. (2016). Understanding electricity consumption: A comparative contribution of building factors, socio-demographics, appliances, behaviours and attitudes. Applied Energy, 177, 692–702.
Jones, R. V., Fuertes, A., and Lomas, K. J. (2015). The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings. Renewable and Sustainable Energy Reviews, 43, 901–917.
Judson, E. P., and Maller, C. (2014). Housing renovations and energy efficiency: insights from homeowners’ practices. Building Research & Information, 42(4), 501–511.
Kavousian, A., Rajagopal, R., and Fischer, M. (2013). Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants’ behavior. Energy, 55, 184–194.
Kaza, N. (2010). Understanding the spectrum of residential energy consumption: A quantile regression approach. Energy Policy, 38(11), 6574–6585.
Kelly, S. (2011). Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector. Energy, 36(9), 5610–5620.
Kontokosta, C. E., Reina, V. J., and Bonczak, B. (2020). Energy cost burdens for low-income and minority households: Evidence from energy benchmarking and audit data in five U.S. Cities. Journal of the American Planning Association, 86(1), 89–105. https://doi.org/10.1080/01944363.2019.1647446
MacDonald, S., Winner, B., Smith, L., Juillerat, J., and Belknap, S. (2019). Bridging the rural efficiency gap: expanding access to energy efficiency upgrades in remote and high energy cost communities. Energy Efficiency, 1–19.
Mathew, P. A., Dunn, L. N., Sohn, M. D., Mercado, A., Custudio, C., and Walter, T. (2015). Big-data for building energy performance: Lessons from assembling a very large national database of building energy use. Applied Energy, 140, 85–93.
Moura, M. C. P., Smith, S. J., and Belzer, D. B. (2015). 120 years of US residential housing stock and floor space. PloS One, 10(8), e0134135.
Muratori, M. (2014). Rural energy use and the challenges for energy conservation and efficiency. Our Energy Future: Socioeconomic Implications and Policy Options for Rural America. National Agricultural and Rural Development Policy Center, New York City, 147–162.
PNNL (Pacific Northwest National Laborator). (2015). High-Performance Home Technologies: Guide to Determining Climate Regions by County. Retrieved from https://www.energy.gov/sites/prod/files/2015/10/f27/ba_climate_region_guide_7.3.pdf.
Pérez-Lombard, L., Ortiz, J., and Pout, C. (2008). A review on buildings energy consumption information. Energy and Buildings, 40(3), 394–398.
Ross, L., Drehobl, A., and Stickles, B. (2018). The high cost of energy in rural america: household energy burdens and opportunities for energy efficiency. Washington DC: American Council for an Energy Efficient Economy.
Santín, O. G. (2010). Actual energy consumption in dwellings: The effect of energy performance regulations and occupant behaviour (Vol. 33). Ios Press.
Shimoda, Y., Asahi, T., Taniguchi, A., and Mizuno, M. (2007). Evaluation of city-scale impact of residential energy conservation measures using the detailed end-use simulation model. Energy, 32(9), 1617–1633.
Swan, L. G., and Ugursal, V. I. (2009). Modeling of end-use energy consumption in the residential sector: A review of modeling techniques. Renewable and Sustainable Energy Reviews, 13(8), 1819–1835.
DOE (U.S. Department of Energy). (2018). Low-Income Household Energy Burden Varies Among States — Efficiency Can Help In All of Them. Retrieved from https://www.energy.gov/sites/prod/files/2019/01/f58/WIP-Energy-Burden_final.pdf.
EIA (U.S. Energy Information Administration). (2020). Annual Energy Review (AER). Retrieved from https://www.eia.gov/totalenergy/data/annual/index.php.
Wilson, C., Pettifor, H., and Chryssochoidis, G. (2018). Quantitative modelling of why and how homeowners decide to renovate energy efficiently. Applied Energy, 212, 1333–1344.
Wilson, C., Crane, L., and Chryssochoidis, G. (2015). Why do homeowners renovate energy efficiently? Contrasting perspectives and implications for policy. Energy Research & Social Science, 7, 12–22.

Information & Authors

Information

Published In

Go to Construction Research Congress 2022
Construction Research Congress 2022
Pages: 164 - 173

History

Published online: Mar 7, 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Diba Malekpour Koupaei [email protected]
1Dept. of Civil, Construction, and Environmental Engineering, Iowa State Univ. ORCID: https://orcid.org/0000-0002-2760-1792. Email: [email protected]
Kristen S. Cetin, Ph.D. [email protected]
2Assistant Professor, Dept. of Civil and Environmental Engineering, Michigan State Univ. ORCID: https://orcid.org/0000-0003-2662-8480. Email: [email protected]
Ulrike Passe [email protected]
3Professor, Dept. of Architecture, Iowa State Univ. ORCID: https://orcid.org/0000-0003-2242-3082. Email: [email protected]
Cristina Poleacovschi, Ph.D. [email protected]
4Assistant Professor, Dept. of Civil, Construction, and Environmental Engineering, Iowa State Univ. ORCID: https://orcid.org/0000-0002-1187-9677. Email: [email protected]
Anne Kimber, Ph.D. [email protected]
5Director, Electric Power Research Center (EPRC), Dept. of Electrical and Computer Engineering, Iowa State Univ. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$288.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$288.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share