Multiple criteria assessment of apartment building performance for refurbishment purposes
Abstract
The selection of buildings for refurbishment is a multi-objective problem and it should be based on integrated assessment of the current performance of the buildings. Accurate assessment allows the development of strategies for the optimisation of building performance and the selection of appropriate and most efficient refurbishment measures. This paper presents a computer-based integrated building performance assessment methodology based on the multiple-criteria approach. A case study from the Šiauliai district, Lithuania, illustrates the proposed methodology in use. The assessment results indicate what are the worst performing buildings and help with the selection of appropriate refurbishment measures and estimation of possible outcomes.
First Publish Online: 12 Jul 2018
Keyword : apartment buildings, performance, multiple criteria assessment, COPRAS, refurbishment measures
How to Cite
Tupėnaitė, L., Kaklauskas, A., Voitov, I., Trinkūnas, V., Siniak, N., Gudauskas, R., Naimavičienė, J., & Kanapeckienė, L. (2018). Multiple criteria assessment of apartment building performance for refurbishment purposes. International Journal of Strategic Property Management, 22(4), 236-251. https://doi.org/10.3846/ijspm.2018.3679
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Lietuvos aplinkos apsaugos investicijų fondas. (2014). Greenhouse gas emissions reduction assessment methodology under the climate change special programme 2014. Retrieved from http://www.laaif.lt/lt/klimato-kaitos-specialioji-programa/ismetamu-siltnamio-efekta-sukelianciu-duju-kiekio-sumazinimo-vertinimo-metodika/ (in Lithuanian).
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Preparation procedure for renovation (modernization) projects, approved by the Minister of Environment of the Republic of Lithuania, 10 November 2009, Order No. D1-677. Valstybės Žinios, 2009, No. 136-5963; 2011, No. 139-6563; 2014, No. D1-365) (in Lithuanian).
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Vilcekova, S., & Kridlova Burdova, E. (2014). Multi-criteria analysis of building assessment regarding energy performance using a life-cycle approach. International Journal of Energy and Environmental Engineering, 5, 83. https://doi.org/10.1007/s40095-014-0083-7
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Bayer, C., Gamble, M., Gentry, R., & Joshi, S. (2010). A guide to life cycle assessment of buildings. The American Institute of Architects.Biekša, D., Šiupšinskas, G., Martinaitis, V., & Jaraminienė, E. (2011). Energy efficiency challenges in multi-apartment building renovation in Lithuania. Journal of Civil Engineering and Management, 17(4), 467-475. https://doi.org/10.3846/13923730.2011.622408
Brown, N. W. O., Malmqvist, T., Bai, W., & Molinari, M. (2013). Sustainability assessment of renovation packages for increased energy efficiency for multi-family buildings in Sweden. Building and Environment, 61, 140-148. https://doi.org/10.1016/j.buildenv.2012.11.019
Caliskan, H. (2015). Thermodynamic and environmental analyses of biomass, solar and electrical energy options based building heating applications. Renewable and Sustainable Energy Reviews, 43, 1016-1034. https://doi.org/10.1016/j.rser.2014.11.094
Cegan, J. C., Filion, A. M., Keisler, J. M., & Linkov, I. (2017). Trends and applications of multi-criteria decision analysis in environmental sciences: literature review. Environment Systems and Decisions, 37(2), 123-133. https://doi.org/10.1007/s10669-017-9642-9
Cellura, M., Campanella, L., Ciulla, G., Guarino, F., Lo Brano, V., Nardi Cesarini, D., & Orioli, A. (2011). The redesign of an Italian building to reach net-zero energy performances: a case study of the SHC Task 40 – ECBCS Annex 52. ASHRAE Transactions, 117, Part 2, 331-339.
Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials & Design, 32(2), 851-860. https://doi.org/10.1016/j.matdes.2010.07.010
Chau, C. K., Hui, W. K., Ng, W. Y., & Powell, G. (2012). Assessment of CO2 emissions reduction in high-rise concrete of-fice buildings using different material use options. Resources, Conservation and Recycling, 61, 22-34. https://doi.org/10.1016/j.resconrec.2012.01.001
Ciulla, G., Lo Brano, V., & Orioli, A. (2010). A criterion for the assessment of the reliability of ASHRAE conduction transferfunction coefficients. Energy and Buildings, 42(9), 1426-1436. https://doi.org/10.1016/j.enbuild.2010.03.012
Di Sivo, M., & Ladiana, D. (2011). Decision-support tools for municipal infrastructure maintenance management. Procedia Computer Science, 3, 36-41. https://doi.org/10.1016/j.procs.2010.12.007
Galvin, R. (2012). German Federal policy on thermal renovation of existing homes: a policy evaluation. Sustainable Cities and Society, 4, 58-66. https://doi.org/10.1016/j.scs.2012.05.003
Hopfe, C. J., Augenbroe, G. L. M., & Hensen, J. L. M. (2013). Multi-criteria decision making under uncertainty in building performance assessment. Building and Environment, 69, 81-90. https://doi.org/10.1016/j.buildenv.2013.07.019
Huang, I. B., Keisler, J., & Linkov, I. (2011). Multi-criteria decision analysis in environmental sciences: ten years of applications and trends. Science of The Total Environment, 409(19), 3578-3594. https://doi.org/10.1016/j.scitotenv.2011.06.022
Ibn-Mohammed, T., Greenough, R., Taylor, S., Ozawa-Meida, L., & Acquaye, A. (2014). Integrating economic considerations with operational and embodied emissions into a decision support system for the optimal ranking of building retrofit options. Building and Environment, 72, 82-101. https://doi.org/10.1016/j.buildenv.2013.10.018
Juan, Y.-K., Kim, J. H., Roper, K., & Castro-Lacouture, D. (2009). GA-based decision support system for housing condition assessment and refurbishment strategies. Automation in Construction, 18(4), 394-401. https://doi.org/10.1016/j.autcon.2008.10.006
Kabak, M., Köse, E., Kırılmaz, O., & Burmaoğlu, S. (2014). A fuzzy multi-criteria decision making approach to assess building energy performance. Energy and Buildings, 72, 382-389. https://doi.org/10.1016/j.enbuild.2013.12.059
Kaklauskas, A. (1999). Multiple criteria decision support of building life cycle (60 p.). Research Report presented for Habilitation. Vilnius: Technika.
Kaklauskas, A., Tupenaitė, L., Kanapeckienė, L., & Naimavičienė, J. (2013). Knowledge-based model for standard housing renovation. Procedia Engineering, 57, 497-503. https://doi.org/10.1016/j.proeng.2013.04.064
Kaklauskas, A., Zavadskas, E. K., & Galinienė, B. (2008). A building’s refurbishment knowledge-based decision support system. International Journal of Environment and Pollution, 35(2/3/4), 237-249. https://doi.org/10.1504/IJEP.2008.021358
Kaklauskas, A., Zavadskas, E. K., & Raslanas, S. (2005). Multi-variant design and multiple criteria analysis of building refurbishments. Energy and Buildings, 37(4), 361-372. https://doi.org/10.1016/j.enbuild.2004.07.005
Kaklauskas, A., Zavadskas, E. K., Raslanas, S., Ginevičius, R., Komka, A., & Malinauskas, P. (2006). Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: a Lithuanian case. Energy and Buildings, 38(5), 454-462. https://doi.org/10.1016/j.enbuild.2005.08.005
Kaklauskas, A., Zavadskas, E. K., Lepkova, N., Raslanas, S., Šliogerienė, J., Bartkienė, L., Pečiūrė, L., & Rimkuvienė, S. (2015). Multiple criteria analysis of the life cycle of the built environment (448 p.). Vilnius: Technika.
Kanapeckienė, L., Kaklauskas, A., Zavadskas, E. K., & Raslanas, S. (2011). Method and system for multi-attribute market value assessment in analysis of construction and retrofit projects. Expert Systems with Applications, 38(11), 14 196 -14207. https://doi.org/10.1016/j.eswa.2011.04.232
Kragh, J., & Rose, J. (2011). Energy renovation of single-family houses in Denmark utilising long-term financing based on equity. Applied Energy, 88(6), 2245-2253. https://doi.org/10.1016/j.apenergy.2010.12.049
Kurth, M. H., Larkin, S., Keisler, J. M., & Linkov, I. (2017). Trends and applications of multi-criteria decision analysis: use in government agencies. Environment Systems and Decisions, 37(2), 134-143. https://doi.org/10.1007/s10669-017-9644-7
Lasvaux, S., Favre, D., Périsset, B., Bony, J., Hildbrand, C., & Citherlet, S. (2015). Life Cycle Assessment of energy related building renovation: methodology and case study. Energy Procedia, 78, 3496-3501. https://doi.org/10.1016/j.egypro.2016.10.132
Lietuvos aplinkos apsaugos investicijų fondas. (2014). Greenhouse gas emissions reduction assessment methodology under the climate change special programme 2014. Retrieved from http://www.laaif.lt/lt/klimato-kaitos-specialioji-programa/ismetamu-siltnamio-efekta-sukelianciu-duju-kiekio-sumazinimo-vertinimo-metodika/ (in Lithuanian).
Linkov, I., & Moberg, E. (2012). Multi-criteria decision analysis: environmental applications and case studies. New York: CRC Press.
Mahapatra, K., Gustavsson, L., Haavik, T., Aabrekk, S., Svendsen, S., Vanhoutteghem, L., Paiho, S., & Ala-Juusela, M. (2013). Business models for full service energy renovation of single-family houses in Nordic countries. Applied Energy, 112, 1558-1565. https://doi.org/10.1016/j.apenergy.2013.01.010
Medineckienė, M., & Björk, F. (2011). Owner preferences regarding renovation measures – the demonstration of using multi-criteria decision makin. Journal of Civil Engineering and Management, 17(2), 284-295. https://doi.org/10.3846/13923730.2011.582380
Mlecnik, E., Kondratenko, I., Cré, J., Vrijders, J., Degraeve, P., van der Have, J. A., Haavik, T., Aabrekk, S. A., Grøn, M., Hansen, S., Svendsen, S., Stenlund, O., & Paiho, S. (2012). Collaboration opportunities in advanced housing renovation. Energy Procedia, 30, 1380-1389. https://doi.org/10.1016/j.egypro.2012.11.152
Mun, J. (Ed.). (2006). Modeling risk: applying Monte Carlo simulation, strategic real options, stochastic forecasting, and portfolio optimization. New Jersey: John Wiley & Sons, Inc.
Nemry, F., Uihlein, A., Colodel, C. M., Wetzel, C., Braune, A., Wittstock, B., Hasan, I., Kreißig, J., Gallon, N., Niemeier, S., & Frech, Y. (2010). Options to reduce the environmental impacts of residential buildings in the European Union –Potential and costs. Energy and Buildings, 42(7), 976-984. https://doi.org/10.1016/j.enbuild.2010.01.009
Nicolae, B., & George-Vlad, B. (2015). Life cycle analysis in refurbishment of the buildings as intervention practices in energy saving. Energy and Buildings, 86, 74-85. https://doi.org/10.1016/j.enbuild.2014.10.021
Ochoa, C. E., & Capeluto, I. G. (2015). Decision methodology for the development of an expert system applied in an adaptable energy retrofit façade system for residential buildings. Renewable Energy, 78, 498-508. https://doi.org/10.1016/j.renene.2015.01.036
Ouyang, J., Wang, C., Li, H., & Hokao, K. (2011). A methodology for energy-efficient renovation of existing residential buildings in China and case study. Energy and Buildings, 43, 2203-2210. https://doi.org/10.1016/j.enbuild.2011.05.005
Rasiulis, R., Ustinovichius, L., Vilutienė, T., & Popov, V. (2016). Decision model for selection of modernization measures: public building case. Journal of Civil Engineering and Management, 22(1), 124-133. https://doi.org/10.3846/13923730.2015.1117018
Preparation procedure for renovation (modernization) projects, approved by the Minister of Environment of the Republic of Lithuania, 10 November 2009, Order No. D1-677. Valstybės Žinios, 2009, No. 136-5963; 2011, No. 139-6563; 2014, No. D1-365) (in Lithuanian).
Rezaie, B., Dincer, I., & Esmailzadeh, E. (2013). Energy options for residential buildings assessment. Energy Conversion and Management, 65, 637-646. https://doi.org/10.1016/j.enconman.2012.09.008
Sakalauskas, L., & Žilinskas, K. (2006). Application of statistical criteria to optimality testing in stochastic programming. Technological and Economic Development of Economy, 12(4), 314-320.
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global sensitivity analysis. West Sussex: John Wiley & Sons, Ltd.
Šiožinytė, E., Antuchevičienė, J., & Kutut, V. (2014). Upgrading the old vernacular building to contemporary norms: multiple criteria approach. Journal of Civil Engineering and Management, 20(2), 291-298. https://doi.org/10.3846/13923730.2014.904814
STR 2.01.09: 2012 “Energy performance of buildings. The energy performance certification”. Lithuanian Standard.
Tupėnaitė, L. (2010). Multiple criteria assessment of the built environment renovation projects (PhD dissertation). Vilnius: Vilnius Gediminas Technical University.
Tupėnaitė, L., Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Seniut, M. (2010). Multiple criteria assessment of alternatives for built and human environment renovation. Journal of Civil Engineering and Management, 16(2), 257-266. https://doi.org/10.3846/jcem.2010.30
Uihlein, A., & Eder, P. (2010). Policy options towards an energy efficient residential building stock in the EU-27. Energy and Buildings, 42(6), 791-798. https://doi.org/10.1016/j.enbuild.2009.11.016
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