Abstract
The suburban house—an emblem of the 20th century American Dream—has come to symbolize unsustainable excess in the new millennium. For the homeowner, the single family home is increasingly burdensome to finance and maintain; for planners and policy makers, suburban sprawl has undermined efforts to limit land consumption and mitigate anthropogenic greenhouse gas (GHG) emissions. While the link between sprawl and transportation emissions is well-established, the atmospheric impacts in the construction and operation of single-family houses are acknowledged but not as well understood. Using a readily available lifecycle assessment tool and building modeling software, this study compares the carbon emissions of low- and high-density housing morphologies and weighs the lifecycle embodied energy costs against the operational energy benefits of increasing thermal performance in the building envelopes of each housing type. The assessment shows that in spite of increasing energy demands embedded in the materially and technically intensive construction of high performance assemblies, the adoption of these techniques in both the house and multi-unit apartment dramatically reduces lifetime GHG emissions. However, the initial toll of building high performance houses—measured in emissions and extrapolated as construction costs—is burdensome to the environment and homeowner alike. As an alternative, high performance apartments can be built at a carbon and dollar cost only marginally higher than that of conventionally-constructed multi-unit dwellings, with a per-unit lifetime GHG footprint that is one quarter of that of a standard house. The economic and land-use efficiencies of enhanced construction assemblies deployed in dense urban residential development create a multiplier effect in potential GHG reduction; a critical factor for contemporary environmental planning and policy.
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Notes
- 1.
Energy contained by unprocessed “raw” fuels, such as coal, oil, or natural gas.
- 2.
This meta-analysis of existing studies includes some office buildings alongside with residential buildings.
- 3.
According to the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) standard, Germany and Connecticut belong to the same climate zone.
- 4.
RECS 2009 energy data was not available at the time of writing.
- 5.
RECS does not have enough data to warrant the use of New England data alone.
References
Andrews CJ (2008) Greenhouse gas emissions along the rural-urban gradient. J Environ Planning Manage 51(6):847–870
Cervero R (2004) Transit-oriented development in the United States: experiences, challenges, and prospects. Transportation Research Board. Washington, D.C., U.S.A
EIA (U.S. Energy Information Administration) (2005) Residential energy consumption survey 2005: living space characteristics by total, heated, and cooled floor space. Retrieved 9 Sept 2012 from http://www.eia.gov/consumption/residential/data/2005/hc/hcfloorspace/pdf/alltables.pdf
EIA (U.S. Energy Information Administration) (2011) Annual energy review 2010. Retrieved 9 Sept 2012 from http://www.eia.gov/totalenergy/data/annual/pdf/aer.pdf
EPA (U.S. Environmental Protection Agency) (2012) Inventory of U.S. greenhouse gas emissions and sinks: 1990–2010. Retrieved 9 Sept 2012 from http://www.epa.gov/climatechange/Downloads/ghgemissions/US-GHG-Inventory-2012-Main-Text.pdf
Ewing R, Rong F (2008) The impact of urban form on US residential energy use. Housing Policy Debate 19(1):1–30
Graetz MJ (2011) The end of energy: the unmaking of America’s environment, security, and independence. The MIT Press, Cambridge
Gustavsson L, Joelsson A, Sathre R (2010) Life cycle primary energy use and carbon emission of an eight-storey wood-framed apartment building. Energy Buildings 42(2):230–242
Heinonen J, Kyrö R, Junnila S (2011) Dense downtown living more carbon intense due to higher consumption: a case study of Helsinki. Environ Res Lett 6:1–9
Holden E, Norland IT (2005) Three challenges for the compact city as a sustainable urban form: household consumption of energy and transport in eight residential areas in the greater Oslo region. Urban Stud 42(12):2145
Hooper DU, Adair EC, Cardinale BJ, Byrnes JEK, Hungate BA, Matulich KL, O’Connor MI (2012) A global synthesis reveals biodiversity loss as a major driver of ecosystem change. Nature 486(7401):105–108
Kenworthy J (2008) Energy use and CO2 production in the urban passenger transport systems of 84 international cities: findings and policy implications. In: Droege P (ed) Urban energy transition: from fossil fuels to renewable power. Elsevier, Oxford, pp 211–236
Lenzen M, Wood R, Foran B (2008) Direct versus embodied energy-the need for urban lifestyle transitions. In: Droege P (ed) Urban energy transition: from fossil fuels to renewable power. Elsevier, Oxford, pp 91–120
Levine M, Ürge-Vorsatz D, Blok K, Geng L, Harvey D, Lang S, Levermore G, Mongameli Mehlwana A, Mirasgedis S, Novikova A, Rilling J, Yoshino H (2007) Residential and commercial buildings. In: Metz B, Davidson OR, Bosch PR, Dave R, Meyer LA (eds) Climate Change 2007: mitigation. Contribution of working group III to the fourth assessment report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK
Norman J, MacLean HL, Kennedy CA (2006) Comparing high and low residential density: life-cycle analysis of energy use and greenhouse gas emissions. J Urban Planning Dev 132: 10
O’Connor J, Dangerfield J (2004) The environmental benefits of wood construction. Paper presented at the proceedings, 8th World conference on timber engineering, vol 1, pp 171–176
Oliver CD, Mesznik R (2006) Investing in forestry. J Sustainable Forest 21(4):97–111
Pasanen P, Korteniemi J, Sipari A (2011) Passiivitason Asuinkerrostalon Elinkaaren Hiilijalanjälki. Sitran selvityksiä 63
Petersen AK, Solberg B (2002) Greenhouse gas emissions, life-cycle inventory and cost-efficiency of using laminated wood instead of steel construction. Case: Beams at Gardermoen airport. Environ Sci Policy 5(2):169–182
Ramesh T, Prakash R, Shukla K (2010) Life cycle energy analysis of buildings: an overview. Energy Buildings 42(10):1592–1600
Randolph J (2008) Comment on Reid Ewing and Fang Rong’s “The impact of urban form on US residential energy use”
Salat S (2009) Energy loads, CO2 emissions and building stocks: morphologies, typologies, energy systems and behaviour. Building Res Inf 37(5–6):598–609
Sarkar M (2011) How American homes vary by the year they were built. Housing and household economic statistics working paper No. 2011-18. U.S. Census Bureau. Retrieved 10 Sept 2012 from https://www.census.gov/hhes/www/housing/housing_patterns/pdf/Housing%20by%20Year%20Built.pdf
Sartori I, Hestnes AG (2007) Energy use in the life cycle of conventional and low-energy buildings: a review article. Energy Buildings 39(3):249–257
Solomon M, Malin N (2011) Want a net-zero home? Be a net-zero family. Environ Building News 20(9)
Upton B, Miner R, Spinney M, Heath LS (2008) The greenhouse gas and energy impacts of using wood instead of alternatives in residential construction in the United States. Biomass Bioenergy 32(1):1–10
Acknowledgments
We would like to thank Leeland McPhail (M. Arch. candidate, Yale School of Architecture) for research assistance and for creating the illustrations for this article. This research was conducted with partial support by Yale School of Architecture, Hines Research Fund for Advanced Sustainability in Architecture.
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Appendix: Study Methodology in Detail
Appendix: Study Methodology in Detail
Embodied Emissions
Embodied GHG emissions were assessed with the Athena Impact Estimator (from here on: Athena). This life-cycle assessment (LCA) tool has a built-in life-cycle inventory (LCI) of different construction materials and assemblies that respond to regional differences in construction practices in North America. The LCI for New York City was used in this study because it is the closest geographic match. Athena GHG assessment does not account for carbon sequestered in any material. More detailed assumptions of Athena as well as LCI reports can be found at http://www.athenasmi.org/our-software-data/impact-estimator/.
The assessment was done for a 50-year lifespan and all dwelling units were assumed to be owner occupied (this decision has an impact on assumptions that Athena makes about building maintenance).
Building Assemblies
Table 1 shows building assemblies used in the LCA.
Omitted Building Elements
The most notable omission in the embodied GHG calculation is the impact of gravel fill at foundations. While an important factor when looking at an individual building, the effect is small when comparing two or more structures. An apartment building is likely to need more fill but its impacts are divided between a large number of apartments. Other omissions include the mechanical and plumbing systems, and elevators. Since a full basement was included for both dwelling types, it can however be assumed that there is ample space for mechanical rooms. The GHG impact of building systems can be presumed to be negligible. In a LCA of a concrete apartment building Pasanen et al. (2011) estimate that elevators and mechanical equipment represent 0.2 % of the total weight of the building. Partitions (except the ones dividing apartments) were also excluded since they would have close to a matching GHG impact in both the apartment building and the house.
Operational Emissions
Operational emissions for the standard house and the apartment were estimated on the basis of U.S. data found in the Residential Energy Consumption Survey (RECS) 2005 (EIA).Footnote 4 Average per square meter annual energy consumption was first derived for each dwelling type and this figure was then multiplied by the size of each dwelling. Basement or garage floor areas were not included for either dwelling but stair halls were included in the apartment building. Data included from RECS was narrowed to dwellings in cold climates (at least 6,000 heating degree days per year) and dwellings built since year 2000.Footnote 5 Calculated in this manner, annual per-square-foot heating energy consumption for the house and the apartment is 595 and 228 MJ respectively. Electricity consumption was estimated at 222 MJ for the house and 296 MJ for the apartment. With no specific data for common area energy use available for Connecticut, these same figures were used for the stair halls of the apartment building.
Energy consumption for the high-performance dwellings were taken directly from the stipulations of the Passive House standard. For both dwelling types, annual per square meter heating energy consumption was estimated at 54 MJ. Electricity consumption was estimated at 112 MJ/m2/a on the basis of the maximum total primary energy consumption (divided between heating and electricity) of 433 MJ/m2/a and estimated 30 % efficiency in electricity production.
Operational GHG emissions were estimated on the basis of the fuel mix for heating in the U.S. North–East and Connecticut electricity emission factors. Carbon equal global warming potential factors of 25 for methane and 298 for nitrous oxide were used. It was assumed that the carbon intensity of both heating fuels and electricity production would be decreasing over time: by 2.4 % annually for electricity and 0.8 % for heating over the full lifetime.
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Puurunen, E., Organschi, A. (2013). Multiplier Effect: High Performance Construction Assemblies and Urban Density in US Housing. In: Khare, A., Beckman, T. (eds) Mitigating Climate Change. Springer Environmental Science and Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37030-4_10
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