Abstract
Purpose
Many life cycle assessment (LCA) studies do not adequately address the actual lifetime of buildings and building products, but rather assume a typical value. The goal of this study was to determine the impact of lifetime on residential building LCA results. Including accurate lifetime data into LCA allows a better understanding of a product’s environmental impact that would ultimately enhance the accuracy of LCA results.
Methods
This study focuses on refining the US residential building lifetime, as well as lifetime of interior renovation products that are commonly used as interior finishes in homes, to improve LCA results. Residential building lifetime data that presents existing trends in the USA was analyzed as part of the study. Existing product life cycle inventory data were synthesized to form statistical distributions that were used instead of deterministic values. Product elementary flows were used to calculate life cycle impacts of a residential model that was based on median US residential home size. Results were compared to existing residential building LCA literature to determine the impact of using updated, statistical lifetime data. A Monte Carlo analysis was performed for uncertainty analysis. Sensitivity analysis results were used to identify hotspots within the LCA results.
Results and discussion
Statistical analysis of US residential building lifetime data indicate that average building lifetime is 61 years and has a linearly increasing trend. Interior renovation energy consumption of the residential model that was developed by using average US conditions was found to have a mean of 220 GJ over the life cycle of the model. Ratio of interior renovation energy consumption to pre-use energy consumption, which includes embodied energy of materials, construction activities, and associated transportation was calculated to have a mean of 34% for regular homes and 22% for low-energy homes. Ratio of interior renovation to life cycle energy consumption of residential buildings was calculated to have a mean of 3.9% for regular homes and 7.6% for low-energy homes.
Conclusions
Choosing an arbitrary lifetime for buildings and interior finishes, or excluding interior renovation impacts introduces a noteworthy amount of error into residential building LCA, especially as the relative importance of materials use increases due to growing number of low-energy buildings that have lower-use phase impacts.
This is a preview of subscription content, access via your institution.





References
Adalberth K (1997a) Energy use during the life cycle of buildings: a method. Build Environ 32(4):317–320
Adalberth K (1997b) Energy use during the life cycle of single-unit dwellings: examples. Build Environ 32(4):321–329
Anderson T, Brandt E (1999) The use of performance and durability data in assessment of life time serviceability. In: Lacasse MA, Vanier DJ (eds) 8th International Conference on Durability of Building Materials and Components (DBMC). NRC Research, Vancouver, Canada, pp 1813–1820
Anderson J, Shiers DE, Sinclair M (2002) The green guide to specification: an environmental profiling system for building materials and components, 3rd edn. Blackwell Science, Malden, MA
Ang GKI, Wyatt DP (1999) Performance concept in the procurement of durability and serviceability of buildings. In: Lacasse MA, Vanier DJ (eds) 8th International Conference on Durability of Building Materials and Components (DBMC). NRC Research, Vancouver, Canada, pp 1821–1832
Ashworth A (1996) Estimating the life expectancies of building components in life-cycle costing calculations. Struct Surv 14(2):4–8
ASTM (2003) G 172—Standard guide for statistical analysis of accelerated service life data. ASTM, West Conshohocken, PA
ASTM (2005) G 166—Standard guide for statistical analysis of service life data. ASTM International, West Conshohocken, PA
Bare JC, Norris GA, Pennington DW, McKone T (2003) The tool for the reduction and assessment of chemical and other environmental impacts. J Ind Ecol 6(3–4):49–78
Borjesson P, Gustavsson L (2000) Greenhouse gas balances in building construction: wood versus concrete from life-cycle and forest land-use perspectives. Energy Policy 28(9):575–588
Bowles G, Gow H (1995) Sinking funds for major repairs provision: some calculated examples. RICS Research: 139–144
BPS High Performance PC Broadloom Carpet. The Green Standard Environmental Product Declaration System. Bentley Prince Street, Industry, CA
Census (1997) 1997 AHS National Data, ASCII version. Department of Housing and Urban Development. US Census Bureau, Washington, DC
Census (1999) 1999 AHS National Data, ASCII version. Department of Housing and Urban Development. US Census Bureau, Washington, DC
Census (2001) 2001 AHS National Data, ASCII version. Department of Housing and Urban Development. US Census Bureau, Washington, DC
Census (2003) 2003 AHS National Data, ASCII version. Department of Housing and Urban Development. US Census Bureau, Washington, DC
Census (2005) 2005 AHS National Data, ASCII version. Department of Housing and Urban Development. US Census Bureau, Washington, DC
Census (2007) 2007 AHS National Data, ASCII version. Department of Housing and Urban Development. US Census Bureau, Washington, DC
Census (2009a) 2009 AHS National Data, ASCII version. Department of Housing and Urban Development. US Census Bureau, Washington, DC
Census (2009b) Table 1.1—Introductory characteristics. 2009 American Housing Survey. US Census Bureau, Washington, DC
Census (2009c) Table 2–3. Size of unit and lot—occupied units. 2009 American Housing Survey. US Census Bureau, Washington, DC
Cooper JS (2003) Specifying functional units and reference flows for comparable alternatives. Int J Life Cycle Assess 8(6):337–349
Cooper T (2004) Inadequate life? Evidence of consumer attitudes to product obsolescence. J Consum Policy 27(4):421–449
DOE (2009) 2009 Buildings energy data book. Energy Efficiency & Renewable Energy, US Department of Energy
EIA (2005) Table US1. Total energy consumption, expenditures, and intensities, 2005—Part 1: housing unit characteristics and energy usage indicators. 2005 Residential Energy Consumption Survey—detailed tables. US Energy Information Administration
Fay R, Treloar G, Iyer-Raniga U (2000) Life-cycle energy analysis of buildings: a case study. Build Res Inf 28(1):31–41
Fernandez J (2006) Material architecture: emergent materials for innovative buildings and ecological construction. Architectural Press, Italy
Friedman A, Callis B (2008) Table 16—year building built. New York City Housing and Vacancy Survey. US Census Bureau, New York
Gorree M, Guinee JB, Huppes G, van Oers L (2002) Environmental life cycle assessment of linoleum. Int Life Cycle Assess 7(3):158–166
Guequirre NMJ, Kristinsson J (1999) Product features that influence the end of a building. In: Lacasse MA, Vanier DJ (eds) 8th International Conference on Durability of Building Materials and Components (DBMC). NRC Research Press, Vancouver, Canada, pp 2021–2032
Guiltinan J (2009) Creative destruction and destructive creations: environmental ethics and planned pbsolescence. J Bus Ethics 89(1):19–28
Gunther A, Langowski H-C (1997) Life cycle assessment study on resilient floor coverings. Int J Life Cycle Assess 2(2):73–80
Hed G (1999) Service Life planning of building components. In: Lacasse MA, Vanier DJ (eds) 8th International Conference on Durability of Building Materials and Components (DBMC). NRC Research Press, Vancouver, Canada, pp 1543–1551
Hermans MH (1999) Building performance starts at hand-over: the importance of life span information. In: Lacasse MA, Vanier DJ (eds) 8th International Conference on Durability of Building Materials and Components (DBMC). NRC Research Press, Vancouver, Canada, pp 1867–1873
Hovde PJ, Moser K (2004) performance based methods for service life prediction—state of the art reports part A and part B. CIB W080/RILEM 175-SLM Service Life Methodologies Prediction of Service Life for Buildings and Components. International Council for Research and Innovation in Building and Construction (CIB)
The Green Standard Environmental Product Declaration System Interface Convert Design Platform by Interface FLOR. Interface Inc., La Grange, GA
Itard L, Klunder G (2007) Comparing environmental impacts of renovated housing stock with new construction. Build Res Inf 35(3):252–267
Johnson R, Kuby P (2003) Just the essentials of elementary statistics, 3rd edn. Thomson Learning Brooks, New York
Jonsson A (1999) Including the use phase in LCA of floor coverings. Int J Life Cycle Assess 4(6):321–328
Jonsson A, Tillman A-M, Svensson T (1997) Life cycle assessment of flooring materials: case study. Build Environ 32(3):245–255
Kececioglu D (1991) Reliability engineering handbook, vol. 1. Prentice-Hall, Englewood Cliffs, NJ
Kellenberger D, Althaus H-J (2009) Relevance of simplifications in LCA of building components. Build Environ 44(4):818–825
Kelly DJ (2007) BRE, Design life of buildings—a scoping study. Scottish Building Standards Agency, Glasgow
Keoleian GA, Blanchard S, Reppe P (2001) Life-cycle energy, costs, and strategies for improving a single-family house. J Ind Ecol 4(2):135–156
Kofoworola OF, Gheewala SH (2008) Environmental life cycle assessment of a commercial office building in Thailand. Int J Life Cycle Assess 13(6):498–511
Lippiatt BC (2008) Building for Environmental and Economic Sustainability (BEES). 4.0 edn. The National Institute of Standards and Technology (NIST)
Lippke B, Wilson J, Perez-Garcia J, Bowyer J, Meil J (2004) CORRIM: life-cycle environmental performance of renewable building materials. For Prod J 54(6):8–19
Mithraratne N, Vale B (2004) Life cycle analysis model for New Zealand houses. Build Environ 39(4):483–492
Nassen J, Holmberg J, Wadeskog A, Nyman M (2007) Direct and indirect energy use and carbon emissions in the production phase of buildings: an input–output analysis. Energy 32(9):1593–1602
Nebel B, Zimmer B, Wegener G (2006) Life cycle assessment of wood floor coverings. Int J Life Cycle Assess 11(3):172–182
New York Housing Maintenance Code—subchapter 2: maintenance, services, and Utilities—article 3: painting. New York City, New York
Nicholson K (2009) Codebook for the American Housing Survey, Public Use File: 1997 and later. US Department of Housing and Urban Development, Fairfax, VA
Nicoletti GM, Notarnicola B, Tassielli G (2002) Comparative life cycle assessment of flooring materials: ceramic versus marble tile. J Clean Prod 10(3):283–296
O’Connor J (2004) Survey on actual service lives for North American buildings. In: Woodframe housing durability and disaster issues, Las Vegas, NV
Optis M, Wild P (2010) Inadequate documentation in published life cycle energy reports on buildings. Int J Life Cycle Assess 15(7):644–651
Ortiz O, Castells F, Sonnemann G (2009) Sustainability in the construction industry: a review of recent developments based on LCA. Constr Build Mater 23(1):28–39
Palisade (2009) Guide to Using @RISK—Risk Analysis and Simulation Add-In for Microsoft Excel, Version 5.5. Palisade Corporation, Ithaca, NY
Palmeri J (2010) A Life cycle approach to prioritizing methods of preventing waste from the residential construction sector in the state of Oregon, phase 2 report. Department of Environmental Quality, State of Oregon
Paulsen JH (2003) The maintenance of linoleum and PVC floor coverings in Sweden. Int J Life Cycle Assess 8(6):357–364
Petersen AK, Solberg B (2004) Greenhouse gas emissions and costs over the life cycle of wood and alternative flooring materials. Clim Chang 64(1–2):143–167
Plat HT (1999) Optimisation of the life span of building components. In: Lacasse MA, Vanier DJ (eds) 8th International Conference on the Durability of Building Materials and Components. NRC Research Press, Vancouver, Canada, pp 2118–2125
Potting J, Blok K (1995) Life cycle assessment of four types of floor covering. J Clean Prod 3(4):201–213
Pullen S (2000) Energy Assessment of Institutional Buildings. In: 34th Annual Conference of the Australia & New Zealand Architectural Science Association, Adelaide, Australia
Scharai-Rad M, Welling J (2002) Environmental and energy balances of wood products and substitutes. Food and Agriculture Organization of the United Nations, Rome
Scheuer C, Keoleian GA, Reppe P (2003) Life cycle energy and environmental performance of a new university building: modeling challenges and design implications. Energy Build 35(10):1049–1064
Seiders D, Ahluwalia G, Melman S, Quint R, Chaluvadi A, Liang M, Silverberg A, Bechler C (2007) Study of life expectancy of home components. National Association of Home Builders, Washington, DC
Sharrard AL, Matthews HS, Ries RJ (2008) Estimating construction project environmental effects using an input–output-based hybrid life-cycle assessment model. J Infrastruct Syst 14(4):327–336
SimaPro. 7.1 edn. (2010) Pre Consultants BV, Amersfoort, The Netherlands
Soratana K, Marriott J (2010) Increasing innovation in home energy efficiency: Monte Carlo simulation of potential improvements. Energy Build 42(6):828–833
Sullivan MI (2007) Statistics: informed decisions using data, 2nd edn. New York, Pearson Prentice Hall
Suzuki M, Oka T (1998) Estimation of life cycle energy consumption and CO2 emission of office buildings in Japan. Energy Build 28(1):33–41
Thormark C (2002) A low energy building in a life cycle—its embodied energy, energy need for operation and recycling potential. Build Environ 37(4):429–435
van Nunen H, Hendriks NA (2002) A solution to environmental pressure and housing convenience. In: 9th International Conference on Durability of Building Materials and Components (DBMC), Brisbane, Australia 2002
Winistorfer P, Chen Z, Lippke B, Stevens N (2005) Energy consumption and greenhouse gas emissions related to the use, maintenance and disposal of a residential structure. Consortium on Research of Renewable Industrial Materials (CORRIM), Seattle, WA
Winther BN, Hestnes AG (1999) Solar versus green: the analysis of a Norwegian row house. Sol Energy 66(6):387–393
Woller J (1996) The basics of Monte Carlo simulations. http://www.chem.unl.edu/zeng/joy/mclab/mcintro.html. Accessed 21 Dec 2010
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible editor: Andreas Ciroth
Rights and permissions
About this article
Cite this article
Aktas, C.B., Bilec, M.M. Impact of lifetime on US residential building LCA results. Int J Life Cycle Assess 17, 337–349 (2012). https://doi.org/10.1007/s11367-011-0363-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11367-011-0363-x
Keywords
- Environmental life cycle assessment
- Interior renovation
- Lifetime
- Monte Carlo analysis
- Residential buildings
- Uncertainty analysis