Dynamic LCA framework for environmental impact assessment of buildings

Energy and Buildings

Volumn 149, Issue , 2017, Pages 310-320

  Su, Shu ^a   Li, Xiaodong ^a   Zhu, Yimin ^b   Lin, Borong ^a  

^a TSINGHUA UNIVERSITY   (China)

^b LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

Building; Dynamic LCA (DLCA); Environmental impact assessment (EIA); Occupancy behaviors; Technological progress

Indexed keywords

BUILDINGS; ENERGY UTILIZATION; ENVIRONMENTAL IMPACT; ENVIRONMENTAL IMPACT ASSESSMENTS; NETWORK FUNCTION VIRTUALIZATION; SUSTAINABLE DEVELOPMENT;

DYNAMIC CHARACTERISTICS; DYNAMIC LCA; ENVIRONMENTAL IMPACT ASSESSMENTS (EIA); HOUSEHOLD ENERGY CONSUMPTION; LIFE CYCLE ASSESSMENT (LCA); OCCUPANCY BEHAVIORS; QUANTIFICATION METHODS; TECHNOLOGICAL PROGRESS;

LIFE CYCLE;

EID: 85020242059     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2017.05.042     Document Type: Article

References (109)

1. National Bureau of Statistics of China, China Energy Statistical Yearbook 2011. 2012, Statistics Press, Beijing (In Chinese).
2. U.S. Department of Energy, 2010 Buildings Energy Data Book. 2010.
3. Lippiatt, B.C., BEESRG 4.0: Building for Environmental and Economic Sustainability Technical Manual and User Guide. 2007, National Institute of Standards and Technology, Gaithersburg, MD.
4. Peuportier, B., Putzeys, K., Anderson, J., et al. Inter-Comparison and Benchmarking of LCA-Based Environmental Assessment and Design Tools. Work Package 2. 2005.
5. Kellenberger, D., Althaus, H., Relevance of simplifications in LCA of building components. Build. Environ. 44 (2009), 818–825.
6. EcoQuantum. Homepage of EcoQuantum. http://www.ivam.uva.nl/index.php?id=2&L=1 (Accessed 13.10.16).
7. Zhang, Z., Wu, X., Yang, X., et al. BEPAS—a life cycle building environmental performance assessment model. Build. Environ. 41 (2006), 669–675.
8. Li, X., Zhu, Y., Zhang, Z., An LCA-based environmental impact assessment model for construction processes. Build. Environ. 45 (2010), 766–775.
9. Su, S., Li, X., Wang, T., et al. A comparative study of environmental performance between CFST and RC columns under combinations of compression and bending. J. Cleaner Prod. 137 (2016), 10–20.
10. Cao, X., Li, X., Zhu, Y., et al. A comparative study of environmental performance between prefabricated and traditional residential buildings in China. J. Cleaner Prod. 109 (2015), 131–143.
11. Li, X., Su, S., Zhang, Z., et al. An integrated environmental and health performance quantification model for pre-occupancy phase of buildings in China. Environ. Impact Assess. Rev. 63 (2017), 1–11.
12. Kong, X., Research on the Health Damage Assessment Model of Building During the Life Cycle. 2010, Tsinghua University, Beijing (in Chinese).
13. Finnveden, G., Hauschild, M.Z., Ekvall, T., et al. Recent developments in life cycle assessment. J. Environ. Manage. 91 (2009), 1–21.
14. Reap, J., Roman, F., Duncan, S., et al. A survey of unresolved problems in life cycle assessment. Int. J. Life Cycle Assess. 13 (2008), 374–388.
15. Collinge, W.O., Landis, A.E., Jones, A.K., et al. Dynamic life cycle assessment: framework and application to an institutional building. Int. J. Life Cycle Assess. 18 (2013), 538–552.
16. Shah, V.P., Ries, R.J., A characterization model with spatial and temporal resolution for life cycle impact assessment of photochemical precursors in the United States. Int. J. Life Cycle Assess. 14 (2009), 313–327.
17. Sonnemann, G., Vigon, B., Rack, M., et al. Global guidance principles for life cycle assessment databases: development of training material and other implementation activities on the publication. Int. J. Life Cycle Assess. 18 (2013), 1169–1172.
18. Faria, A.B.B.D., Spérandio, M., Ahmadi, A., et al. Evaluation of new alternatives in wastewater treatment plants based on Dynamic Modelling and Life Cycle Assessment (DM-LCA). Water Res. 84 (2015), 99–111.
19. Filleti, R.A.P., Silva, D.A.L., Silva, E.J., et al. Dynamic system for life cycle inventory and impact assessment of manufacturing processes. Proc. CIRP 15 (2014), 531–536.
20. Levasseur, A., Lesage, P., Margni, M., et al. Considering time in LCA: dynamic LCA and its application to global warming impact assessments. Environ. Sci. Technol. 44 (2010), 3169–3174.
21. Guo, M., Murphy, R.J., LCA data quality: sensitivity and uncertainty analysis. Sci. Total Environ. 435 (2012), 230–243.
22. Laratte, B., Guillaume, B., Epistemic and methodological challenges of dynamic environmental assessment: a case-study with energy production from solar cells. Key Eng. Mater. 572 (2014), 535–538.
23. Davis, C., Integration of Life Cycle Analysis Within Agent Based Modeling Using a Case Study on Bio-Electricity. 2007, Leiden University, Leiden.
24. Reap, J., Román, F., Guldberg, T., et al. Integrated ecosystem landscape and industrial modeling for strategic environmentally conscious process technology selection. Proceedings of the 2006 13th CIRP International Conference on Life Cycle Engineering, Leuven, 2006.
25. Ness, B., Urbel-Piirsalu, E., Anderberg, S., et al. Categorising tools for sustainability assessment. Ecol. Econ. 60 (2007), 498–508.
26. ISO, Environmental Management: Life Cycle Assessment: Requirements and Guidelines ISO-14044. 2006, British Standards Institution, London.
27. ISO, Environmental Management: Life Cycle Assessment: Principles and Framework ISO-14040. 2006, British Standards Institution, London.
28. Li, X., Su, S., Gao, Y., et al. Environmental impacts of residential buildings having different structures. J. Tsinghua Univ. 9 (2013), 1255–1260 (in Chinese).
29. Li, X., Su, S., Shi, J., et al. An environmental impact assessment framework and index system for the pre-use phase of buildings based on distance-to-target approach. Build. Environ. 85 (2015), 173–181.
30. Hong, T., Chou, S.K., Bong, T.Y., Building simulation: an overview of developments and information sources. Build. Environ. 35 (2000), 347–361.
31. Peng, C., Yan, D., Wu, R., et al. Quantitative description and simulation of human behavior in residential buildings. Build. Simul. 5 (2012), 85–94.
32. Wei, S., Jones, R., de Wilde, P., Driving factors for occupant-controlled space heating in residential buildings. Energy Build. 70 (2014), 36–44.
33. Yu, Z., Fung, B.C., Haghighat, F., et al. A systematic procedure to study the influence of occupant behavior on building energy consumption. Energy Build. 43 (2011), 1409–1417.
34. Wang, C., Simulation Research on Occupant Energy-Related Behaviors in Building. 2014, Tsinghua University, Beijing (in Chinese).
35. Chen, S., Yang, W., Yoshino, H., et al. Definition of occupant behavior in residential buildings and its application to behavior analysis in case studies. Energy Build. 104 (2015), 1–13.
36. Verhoef, E.V., Reuter, M.A., Scholte, A., A dynamic LCA model for assessing the impact of lead free solder. Yazawa International Symposium on Metallurgical and Materials Processing: Principles and Technologies, 2003, 605–623.
37. Pehnt, M., Dynamic life cycle assessment (LCA) of renewable energy technologies. Renew. Energy 31 (2006), 55–71.
38. Qi, Y., Huang, H., Liu, G., et al. Energy Analysis method based on dynamic life cycle. Chin. J. Mech. Eng. 43 (2007), 129–134 (in Chinese).
39. Zhao, W., Sustainable Municipal Solid Waste Management Based on Quasi-Dynamic Eco-Efficiency. 2009, Tianjin University, Tianjin (in Chinese).
40. Collinge, W.O., Liao, L., Xu, H., et al. Enabling dynamic life cycle assessment of buildings with wireless sensor networks. IEEE International Symposium on Sustainable Systems and Technology, 2011, IEEE, 1–6.
41. Levasseur, A., Lesage, P., Margni, M., et al. Assessing temporary carbon sequestration and storage projects through land use, land-use change and forestry: comparison of dynamic life cycle assessment with ton-year approaches. Clim. Change 115 (2012), 759–776.
42. Levasseur, A., Lesage, P., Margni, M., et al. Biogenic carbon and temporary storage addressed with dynamic life cycle assessment. J. Ind. Ecol. 17 (2013), 117–128.
43. Collinge, W.O., Landis, A.E., Jones, A.K., et al. Indoor environmental quality in a dynamic life cycle assessment framework for whole buildings: focus on human health chemical impacts. Build. Environ. 62 (2013), 182–190.
44. Collinge, W.O., Landis, A.E., Jones, A.K., et al. Productivity metrics in dynamic LCA for whole buildings: using a post-occupancy evaluation of energy and indoor environmental quality tradeoffs. Build. Environ. 82 (2014), 339–348.
45. Yang, J., Chen, B., Global warming impact assessment of a crop residue gasification project – a dynamic LCA perspective. Appl. Energy 122 (2014), 269–279.
46. Li, H., Carbon Emissions Dynamic Characteristics of Mechanical Manufacturing System and Its Carbon Efficiency Assessment and Optimization Approach Research. 2014, Chongqing University, Chongqing (in Chinese).
47. Lebailly, F., Levasseur, A., Samson, R., et al. Development of a dynamic LCA approach for the freshwater ecotoxicity impact of metals and application to a case study regarding zinc fertilization. Int. J. Life Cycle Assess. 19 (2014), 1745–1754.
48. Fouquet, M., Levasseur, A., Margni, M., et al. Methodological challenges and developments in LCA of low energy buildings: application to biogenic carbon and global warming assessment. Build. Environ. 90 (2015), 51–59.
49. Ji, C., Hong, T., New Internet search volume-based weighting method for integrating various environmental impacts. Environ. Impact Assess. Rev. 56 (2016), 128–138.
50. Sichuan University, IKE Environmental Technology. Homepage of eBalance. http://www.itke.com.cn (Accessed 03.07.16).
51. Weidema, B.P., Bauer, C., Hischier, R., et al. Overview and Methodology: Data Quality Guideline for the Ecoinvent Database Version 3. 2013, Swiss Centre for Life Cycle Inventories.
52. SimaPro. Ecoinvent LCI Database. https://simapro.com/databases/ecoinvent/ (Accessed 02.07.16).
53. Pan, A., The Theory and Empirical Study on Technology Innovation of Construction Industry. 2002, Zhejiang University, Hangzhou (in Chinese).
54. Matsumoto, K., Energy structure and energy security under climate mitigation scenarios in China. PLOS ONE, 10, 2015, e0144884.
55. Wang, Z., Zhu, Y., Zhu, Y., et al. Energy structure change and carbon emission trends in China. Energy 115 (2016), 369–377.
56. Ren, J., Gu, P., Effect of Technological Advancement on Structures of Energy Supply and Demand in China. J. Harbin Institute of Technology 34 (2002), 599–602 (in Chinese).
57. Editorial Committee, China Power Yearbook. 2016, China Electric Power Press, Beijing (in Chinese).
58. Gu, L., Studies on the Environmental Impact of the Building Industry in China Based on the Life Cycle Assessment. 2009, Tsinghua University, Beijing (in Chinese).
59. Li, Z., Study on the Life Cycle Consumption of Energy and Resource of Air Conditioning in Urban Residential Buildings in China. 2007, Tsinghua University, Beijing (in Chinese).
60. National Development and Reform Commission, Guidance on the Comprehensive Utilization of Resources in the 13th Five-Year. 2016, China Environmental Sciences Press, Beijing (in Chinese).
61. The State Council of the People's Republic of China, Energy Development Strategy Plan (2014–2020). 2014 (in Chinese).
62. Andriosopoulos, K., Energy security in East Asia under climate mitigation scenarios in the 21st century. Omega 59 (2016), 60–71.
63. Wang, Q., Liu, P., Yuan, X., et al. Structural evolution of household energy consumption: a China study. Sustainability 7 (2015), 3919–3932.
64. Xue, L., Hou, Y., Yan, X., et al. Chinese energy consumption structure prediction by application of ARIMA. China Mining Mag. 20 (2011), 24–27 [in Chinese].
65. Liu, D., Yang, Y., Yang, K., et al. Forecasting model and its application of energy structure and pollutant emission based on Markov chain. Electr. Power 39 (2006), 8–13.
66. Yang, R., Wang, L., Development of multi-agent system for building energy and comfort management based on occupant behaviors. Energy Build. 56 (2013), 1–7.
67. Poortinga, W., Steg, L., Vlek, C., et al. Household preferences for energy-saving measures: a conjoint analysis. J. Econ. Psychol. 24 (2003), 49–64.
68. Bonte, M., Thellier, F., Lartigue, B., Impact of occupant's actions on energy building performance and thermal sensation. Energy Build. 76 (2014), 219–227.
69. Blight, T.S., Coley, D.A., Sensitivity analysis of the effect of occupant behaviour on the energy consumption of passive house dwellings. Energy Build. 66 (2013), 183–192.
70. Li, Z., Jiang, Y., Wei, Q., Survey on energy consumption of air conditioning in summer in a residential building in Beijing. J. HV&AC 37 (2007), 46–51 [in Chinese].
71. Architectural Institute of Japan. Japanese Residential Energy Consumption Online Database. http://tkkankyo.eng.niigata-.ac.jp/HP/HP/database/japan2/index.htm (Accessed 24.10.16).
72. Al-Mumin, A., Khattab, O., Sridhar, G.G., Occupants’ behavior and activity patterns influencing the energy consumption in the Kuwaiti residences. Energy Build. 35 (2003), 549–559.
73. Lopes, L., Hokoi, S., Miura, H., et al. Energy efficiency and energy savings in Japanese residential buildings – research methodology and surveyed results. Energy Build. 37 (2005), 698–706.
74. Ouyang, J., Hokao, K., Energy-saving potential by improving occupants’ behavior in urban residential sector in Hangzhou City, China. Energy Build. 41 (2009), 711–720.
75. Zhao, J., Lasternas, B., Lam, K.P., et al. Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining. Energy Build. 82 (2014), 341–355.
76. Andersen, R.V., Toftum, J.O.R., Andersen, K.K., et al. Survey of occupant behaviour and control of indoor environment in Danish dwellings. Energy Build. 41 (2009), 11–16.
77. Pu, Q., Research on Prediction Model and Influencing Factors of Urban Residential Building Energy Consumption. 2012, Chongqing University, Chongqing (in Chinese).
78. Yao, J., Domestic energy consumption behavior study. Energy Res. Util. 4 (2009), 7–12 (in Chinese).
79. Peng, X., Research on Model of Energy Consumption Terminal Constraints in Residential Buildings. 2009, Chongqing University, Chongqing (in Chinese).
80. Chen, L., Study on Urban Residential Energy Consumption Behavior. 2009, Dalian University of Technology, Dalian (in Chinese).
81. Pang, A., Analysis of Influential Factors of Urban Residents’ Energy Use. 2011, Dalian University of Technology, Dalian (in Chinese).
82. Abrahamse, W., Steg, L., How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings?. J. Econ. Psychol. 30 (2009), 711–720.
83. Druckman, A., Jackson, T., Household energy consumption in the UK: a highly geographically and socio-economically disaggregated model. Energy Policy 36 (2008), 3177–3192.
84. Chen, J., Wang, X., Steemers, K., A statistical analysis of a residential energy consumption survey study in Hangzhou, China. Energy Build. 66 (2013), 193–202.
85. Liao, H., Chang, T., Space-heating and water-heating energy demands of the aged in the US. Energy Econ. 24 (2002), 267–284.
86. Mora, D., Carpino, C., De Simone, M., Behavioral and physical factors influencing energy building performances in Mediterranean climate. Energy Proc. 78 (2015), 603–608.
87. Du, L., Prasauskas, T., Leivo, V., et al. Assessment of indoor environmental quality in existing multi-family buildings in North-East Europe. Environ. Int. 79 (2015), 74–84.
88. Fabi, V., Andersen, R.V., Corgnati, S., et al. Occupants’ window opening behaviour: a literature review of factors influencing occupant behaviour and models. Build. Environ. 58 (2012), 188–198.
89. Nahmens, I., Joukar, A., Cantrell, R., Impact of low-income occupant behavior on energy consumption in hot-humid climates. J. Architect. Eng., 21, 2014, B4014006.
90. Steg, L., Vlek, C., Encouraging pro-environmental behaviour: an integrative review and research agenda. J. Environ. Psychol. 29 (2009), 309–317.
91. Pu, Q., Li, B., Impact factors analysis of residential buildings’ energy consumption in Huainan. International Conference on Remote Sensing, Environment and Transportation Engineering, 2011, IEEE, 1278–1281.
92. Zhao, H., Magoulès, F., A review on the prediction of building energy consumption. Renew. Sustain. Energy Rev. 16 (2012), 3586–3592.
93. Crawley, D.B., Lawrie, L.K., Winkelmann, F.C., et al. EnergyPlus: creating a new-generation building energy simulation program. Energy Build. 33 (2001), 319–331.
94. Clarke, J.A., McLean, D., ESP-A Building and Plant Energy Simulation System. 1988, Energy Simulation Research Unit, University of Strathclyde, Strathclyde.
95. Yan, D., Xia, J., Tang, W., et al. DeST – an integrated building simulation toolkit. Part I. Fundamentals. Build. Simul. 1 (2008), 95–110.
96. Virote, J., Neves-Silva, R., Stochastic models for building energy prediction based on occupant behavior assessment. Energy Build. 53 (2012), 183–193.
97. Chen, J., Jain, R.K., Taylor, J.E., Block Configuration Modeling: a novel simulation model to emulate building occupant peer networks and their impact on building energy consumption. Appl. Energy 105 (2013), 358–368.
98. Heydarian, A., Carneiro, J.P., Gerber, D., et al. Immersive virtual environments versus physical built environments: a benchmarking study for building design and user-built environment explorations. Autom. Constr. 54 (2015), 116–126.
99. Simeone, D., Kalay, Y.E., Schaumann, D., et al. An event-based model to simulate human behaviour in built environments. Digital Physicality: Proceedings of the 30th eCAADe Conference, 2012, 525–532.
100. Goldstei, R., Tessier, A., Khan, A., Space layout in occupant behavior simulation. Conference Proceedings: IBPSA-AIRAH Building Simulation Conference, 2011, 1073–1080.
101. Shiratuddin, M.F., Thabet, W., Bowman, D., Evaluating the effectiveness of virtual environment displays for reviewing construction 3D models. CONVR 2004 (2004), 87–98.
102. Sailor, D.J., A green roof model for building energy simulation programs. Energy Build. 40 (2008), 1466–1478.
103. Pan, Y., Huang, Z., Wu, G., Calibrated building energy simulation and its application in a high-rise commercial building in Shanghai. Energy Build. 39 (2007), 651–657.
104. Heydarian, A., Carneiro, J.P., Gerber, D., et al. Immersive virtual environments, understanding the impact of design features and occupant choice upon lighting for building performance. Build. Environ. 89 (2015), 217–228.
105. Rosalie, V., Mark, A., Hans, A., et al. Time horizon dependent characterization factors for acidification in life-cycle assessment based on forest plant species occurrence in Europe. Environ. Sci. Technol. 41 (2007), 922–927.
106. Seppälä, J., Country-dependent characterisation factors for acidification and terrestrial eutrophication based on accumulated exceedance as an impact category indicator. Int. J. Life Cycle Assess. 11 (2006), 403–416.
107. Struijs, J., Dijk, A.V., Slaper, H., et al. Spatial- and time-explicit human damage modeling of ozone depleting substances in life cycle impact assessment. Environ. Sci. Technol. 44 (2010), 204–209.
108. Meijer, A., Huijbregts, M., Reijnders, L., Human health damages due to indoor sources of organic compounds and radioactivity in life cycle impact assessment of dwellings – Part 1. Characterisation factors. Int. J. Life Cycle Assess. 10 (2005), 309–316.
109. Wu, X., Zhang, Z., Chen, Y., Study of the environmental impacts based on the “green tax”—applied to several types of building materials. Build. Environ. 40 (2005), 227–237.