Selection of insulation materials with PSI-CRITIC based CoCoSo method
DOI:
https://doi.org/10.7764/RDLC.20.2.382Keywords:
MCDM, PSI, CRITIC, CoCoSoAbstract
The performance effect of construction on energy conservation substantially depends upon application of correct materials and energy saving methodologies. A sizable financial impact is accomplished through insulated walls. The criteria explaining the present wall insulating material options may have different values. Furthermore, they may alter in different aspects, i.e. higher values of certain criteria show a preferable status, while for others they denote an inferior status. In this framework, a variant of compromise is needed, which can be situated through multi-criteria assessment methodologies. To diminish the effect of different methodologies on computational results, few diverse techniques can be considered, with descriptions of the mean predicted values. Thus, drawbacks of certain multi-criteria assessment techniques could be compensated through others. A hybrid methodology through the combination of individual techniques will be accurate if there is a relationship between the values determined through diverse methodologies. In this study, the most efficient insulation material used at external walls is selected by using PSI-CRITIC based CoCoSo Method. The analytical results are important both from financial and engineering point of views as the applied methodology is commercially viable and practically implementable. Precise and up-to-date material properties are derived from the leading companies in the sector.
Downloads
References
Alifanov, O. M., Nenarokomov, A. V., & Gonzalez, V. M. (2009). Study of multilayer thermal insulation by inverse problems method. Acta Astronautica, 65(9–10), 1284–1291. https://doi.org/10.1016/j.actaastro.2009.03.053
Ashby, M. F. (2005). Materials selection in mechanical design (3rd edn). New York, NY: Pergamon Press.
Bapat, S. L., Narayankhedkar, K. G., & Lukose, T. P. (1990). Experimental investigations of multilayer insulation. Cryogenics, 30(8), 711–719. https://doi.org/10.1016/0011-2275(90)90235-5
Biekša, D., Martinaitis, Aloyzas, V., Šakmanas, A., Biekða, D., & Ðakmanas, A. A. (2006). An estimation of exergy consumption paterns of energy-intensive building service systems. Journal of Civil Engineering and Management, 12(1), 37–42. https://doi.org/10.1080/13923730.2006.9636370
Blocken, B., & Carmeliet, J. (2004). A review of wind-driven rain research in building science. Journal of Wind Engineering and Industrial Aerodynamics, 92(13), 1079–1130. https://doi.org/10.1016/j.jweia.2004.06.003
Bojić, M. L., & Loveday, D. L. (1997). The influence on building thermal behavior of the insulation/masonry distribution in a three-layered construction. Energy and Buildings, 26(2), 153–157. https://doi.org/10.1016/s0378-7788(96)01029-8
Brauers, W. K., Ginevicius, R., Zavadskas, E. K., & Antucheviciene, J. (2007). The European union in a transition economy. Transformation in Business and Economics, 6(2), 21–37.
Brauers, W. K. M., & Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and economic development of economy, 16(1), 5-24.
Carabaño, R., Hernando, S. M., Ruiz, D., & Bedoya, C. (2017). Life Cycle Assessment (LCA) of building materials for the evaluation of building sustainability: the case of thermal insulation materials. Revista de La Construcción, 16(1), 22–32.
de Wilde, P., Rafiq, Y., & Beck, M. (2008). Uncertainties in predicting the impact of climate change on thermal performance of domestic buildings in the UK. Building Services Engineering Research and Technology, 29(1), 7–26. https://doi.org/10.1177/0143624407087261
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers and Operations Research, 22(7), 763–770. https://doi.org/10.1016/0305-0548(94)00059-H
Dieter, G. E. (1986). Engineering design: a materials and processing approach. New York , NY: McGraw-Hill.
Ermolaeva, N. S., Kaveline, K. G., & Spoormaker, J. L. (2002). Materials selection combined with optimal structural design: Concept and some results. Materials and Design, 23(5), 459–470. https://doi.org/10.1016/s0261-3069(02)00019-5
Ginevičius, R., Podvezko, V., & Bruzge, Š. (2008). Evaluating the effect of state aid to business by multicriteria methods. Journal of Business Economics and Management, 9(3), 167–180. https://doi.org/10.3846/1611-1699.2008.9.167-180
Guisbiers, G., & Wautelet, M. (2007). Materials selection for micro-electromechanical systems. Materials and Design, 28(1), 246–248. https://doi.org/10.1016/j.matdes.2005.05.012
Gupta, R. & Gregg, M. (2013). Preventing the overheating of English suburban homes in a warming climate. Building Research & Information, 41(3), 281–300. https://doi.org/10.1080/09613218.2013.772043
Hwang, C. L. & Yoon, K. (1981). Multiple attribute decision making-methods and applications, a state of the art survey. Berlin, Heidelberg, New York: Springer Verlag.
Jahan, A., Mustapha, F., Sapuan, S. M., Ismail, M. Y., & Bahraminasab, M. (2012). A framework for weighting of criteria in ranking stage of material selection process. The International Journal of Advanced Manufacturing Technology, 58(1–4), 411–420.
Ji, T., Zhang, R., Sunden, B., & Xie, G. (2014). Investigation on thermal performance of high temperature multilayer insulations for hypersonic vehicles under aerodynamic heating condition. Applied Thermal Engineering, 70(1), 957–965. https://doi.org/10.1016/j.applthermaleng.2014.06.014
Kaklauskas, A., Zavadskas, E. K., Banaitis, A., & Satkauskas, G. (2007). Defining the utility and market value of a real estate: A multiple criteria approach. International Journal of Strategic Property Management, 11(2), 107–120. https://doi.org/10.1080/1648715X.2007.9637564
Karagiozis, A., & Kumaran, K. (1997). Drying potential of EIFS walls: Innovative vapor control strategies. Exterior Insulation and Finish Systems (EIFS): Innovations and Solutions to Industry Challenges. Third ASTM Symposium on EIFS. San Diego.
Karamanos, A., Hadiarakou, S., & Papadopoulos, A. M. (2008). The impact of temperature and moisture on the thermal performance of stone wool. Energy and Buildings, 40(8), 1402–1411. https://doi.org/10.1016/j.enbuild.2008.01.004
Künzel, H., Künzel, H. M., & Sedlbauer, K. (2006). Long-term performance of external thermal insulation systems (ETICS). ACTA Architectura, 5(1), 11–24.
Künzel, H. M., & Holm, A. H. (2009). Moisture control and problem analysis of heritage constructions, In. 3. Er Encontro Sobre Patologia e Reabilitação de Edifícios: PATORREB 2009, 85–102. Universidade do Porto.
Künzel, H. M. & Zirkelbach, D. (2008). Influence of rain water leakage on the hygrothermal performance of exterior insulation systems. Proceedings of the 8th Nordic Symposium on Building Physics in the Nordic Countries 2008, 253–260.
Lewandowski, W. M. & Lewandowska-Iwaniak, W. (2014). The external walls of a passive building: a classification and description of their thermal and optical properties. Energy and Buildings, 69, 93–102. https://doi.org/10.1016/j.enbuild.2013.10.021
Lin, C. C., Wang, W. C., & Yu, W. Der. (2008). Improving AHP for construction with an adaptive AHP approach (A3). Automation in Construction, 17(2), 180–187. https://doi.org/10.1016/j.autcon.2007.03.004
Madić, M., Antucheviciene, J., Radovanović, M., & Petković, D. (2017). Determination of laser cutting process conditions using the preference selection index method. Optics and Laser Technology, 89, 214–220. https://doi.org/10.1016/j.optlastec.2016.10.005
Madic, M., & Radovanović, M. (2015). Ranking of some most commonly used nontraditional machining processes using ROV and CRITIC methods. UPB Sci. Bull., Series D, 77(2), 193–204.
Maniya, K., & Bhatt, M. G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials and Design, 31(4), 1785–1789. https://doi.org/10.1016/j.matdes.2009.11.020
Mavrogianni, A., Wilkinson, P., Davies, M., Biddulph, P., & Oikonomou, E. (2012). Building characteristics as determinants of propensity to high indoor summer temperatures in London dwellings. Building and Environment, 55, 117–130. https://doi.org/10.1016/j.buildenv.2011.12.003
McLeod, R. S., & Hopfe, C. J. (2013). Hygrothermal implications of low and zero energy standards for building envelope performance in the UK. Journal of Building Performance Simulation, 6(5), 367–384. https://doi.org/10.1080/19401493.2012.762809
Nast, T. C., Frank, D. J., & Feller, J. (2014). Multilayer insulation considerations for large propellant tanks. Cryogenics, 64, 105–111. https://doi.org/10.1016/j.cryogenics.2014.02.014
Oikonomou, E., Davies, M., Mavrogianni, A., Biddulph, P., Wilkinson, P., & Kolokotroni, M. (2012). Modelling the relative importance of the urban heat island and the thermal quality of dwellings for overheating in London. Building and Environment, 57, 223–238. https://doi.org/10.1016/j.buildenv.2012.04.002
Orme, M., Palmer, J., & Irving, S. (2003). Control of Overheating in Well-Insulated Housing. Proceedings of the CIBSE/ASHRAE Conference (24-26 September 2003) in Building Sustainability, Value & Profit. Edinburgh.
Pavlík, Z., & Černý, R. (2008). Experimental assessment of hygrothermal performance of an interior thermal insulation system using a laboratory technique simulating on-site conditions. Energy and Buildings, 40(5), 673–678. https://doi.org/10.1016/j.enbuild.2007.04.019
Porritt, S., Shao, L., Cropper, P., & Goodier, C. (2011). Adapting dwellings for heat waves. Sustainable Cities and Society, 1(2), 81–90. https://doi.org/10.1016/j.scs.2011.02.004
Šadauskiene, J., Monstvilas, E., Stankevičius, V., & Šadauskienė, J. (2010). The impact of exterior finish vapour resistance on the moisture state of building walls. Technological and Economic Development of Economy, 13(1), 73-82. https://doi.org/10.1080/13928619.2007.9637779
Sanders, C. (2005). Modelling and controlling interstitial condensation in buildings. IHS BRE. ISBN 978-1860817380.
Schiavoni, S., D’Alessandro, F., Bianchi, F., & Asdrubali, F. (2016). Insulation materials for the building sector: A review and comparative analysis. Renewable and Sustainable Energy Reviews, Vol. 62, pp. 988–1011. Elsevier Ltd. https://doi.org/10.1016/j.rser.2016.05.045
Stazi, F., Di Perna, C., & Munafò, P. (2009). Durability of 20-year-old external insulation and assessment of various types of retrofitting to meet new energy regulations. Energy and Buildings, 41(7), 721–731. https://doi.org/10.1016/j.enbuild.2009.02.008
Stazi, F., Vegliò, A., Di Perna, C., & Munafò, P. (2013). Experimental comparison between 3 different traditional wall constructions and dynamic simulations to identify optimal thermal insulation strategies. Energy and Buildings, 60, 429–441. https://doi.org/10.1016/j.enbuild.2013.01.032
Strube, J., Miller, A., & Ip, K. (2012). Solid wall insulation: its place in retrofit plans. Proceedings of Retrofit 2012 Conference. Manchester.: University of Salford.
Sutheesh, P. M., & Chollackal, A. (2018). Thermal performance of multilayer insulation: A review. IOP Conference Series: Materials Science and Engineering, 396(1), 012061. Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/396/1/012061
Xie, G., Wang, Q., Sunden, B., & Zhang, W. (2013). Thermomechanical optimization of lightweight thermal protection system under aerodynamic heating. Applied Thermal Engineering, 59(1–2), 425–434. https://doi.org/10.1016/j.applthermaleng.2013.06.002
Yazdani, M., Zarate, P., Zavadskas, E. K., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501–2519. https://doi.org/10.1108/MD-05-2017-0458
Zavadskas, E. K., & Podvezko, V. (2016). Integrated determination of objective criteria weights in MCDM. International Journal of Information Technology and Decision Making, 15(2), 267–283. https://doi.org/10.1142/S0219622016500036
Zavadskas, E. K., Raslanas, S., & Kaklauskas, A. (2008). The selection of effective retrofit scenarios for panel houses in urban neighbourhoods based on expected energy savings and increase in market value: The Vilnius case. Energy and Buildings, 40(4), 573–587. https://doi.org/10.1016/j.enbuild.2007.04.015
Zavadskas, E. K., & Vilutiene, T. (2006). A multiple criteria evaluation of multi-family apartment block’s maintenance contractors: I - Model for maintenance contractor evaluation and the determination of its selection criteria. Building and Environment, 41(5), 621–632. https://doi.org/10.1016/j.buildenv.2005.02.019
Žižović, M., Miljković, B., & Marinković, D. (2020). Objective methods for determining criteria weight coefficients: A modification of the CRITIC method. Decision Making: Applications in Management and Engineering, 3(2), 149-161.
