A decision support system for multi-criteria assessment of large building stocks
Abstract
Both public administrations and private owners of large building stocks need to work out plans for the management of their property, while having to deal with yearly budget limitations. Particularly for the former, this is a rather critical challenge, since public administrations are given the responsibility of sticking to very strict budget distributions over the years. As a consequence, when planning the actions to be taken on their building stocks in order to comply with their current use and the legislation in-force, they need to classify refurbishment priorities. The aim of this paper is to develop a first tool based on Bayesian Networks that offers an effective decision support service for owners even in case some information is incomplete. This tool can be used to evaluate the compliance of existing buildings with the latest standards. The decision support platform proposed includes a multi-criteria evaluation approach combining several performance indicators, each of which related to a specific regulatory area. This tool can be applied to existing buildings, where the building with the lowest score shows the highest priority of intervention. Also, the platform performs an assessment of expected costs for required refurbishment or renovation actions.
Keyword : BIM, decision support system, Bayesian Networks, multi-criteria analysis, decision making, Analytic Hierarchy Process
How to Cite
Carbonari, A., Corneli, A., Di Giuda, G. M., Ridolfi, L., & Villa, V. (2019). A decision support system for multi-criteria assessment of large building stocks. Journal of Civil Engineering and Management, 25(5), 477-494. https://doi.org/10.3846/jcem.2019.9872
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Shohet, I. M. (2003). Building evaluation methodology for setting maintenance priorities in hospital buildings. Construction Management and Economics, 21(7), 681-692. https://doi.org/10.1080/0144619032000115562
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Benedettelli, M., Carbonari, A., Naticchia, B., & Vaccarini, M. (2016). Reduced-order models for supporting energy audits of buildings. In 33rd International Symposium on Automation & Robotics in Construction (pp. 563-571). https://doi.org/10.22260/isarc2016/0068
Bourdic, L., Salat, S., & Nowacki, C. (2012). Assessing cities: a new system of cross-scale spatial indicators. Building Research & Information, 40(5), 592-605. https://doi.org/10.1080/09613218.2012.703488
Bracchi, S., Rota, M., Magenes, G. & Penna, A. (2016). Seismic assessment of masonry buildings accounting for limited knowledge on materials by Bayesian updating. Bulletin of Earthquake Engineering, 14(8), 2273-2297. https://doi.org/10.1007/s10518-016-9905-8
Braulio-Gonzalo, M., Juan, P., Bovea, M. D., & Ruá, M. J. (2016). Modelling energy efficiency performance of residential building stocks based on Bayesian statistical inference. Environmental Modelling & Software, 83, 198-211. https://doi.org/10.1016/j.envsoft.2016.05.018
Carstens, H., Xia, X., & Yadavalli, S. (2018). Measurement uncertainty in energy monitoring: Present state of the art. Renewable and Sustainable Energy Reviews, 82(3), 2791-2805. https://doi.org/10.1016/j.rser.2017.10.006
Catenacci, M., & Giupponi, C. (2009). Potential of Bayesian Networks to deal with uncertainty in climate change adaptation policies. CMCC Research. https://doi.org/10.2139/ssrn.1526605
Corneli, A., Meschini, S., Villa, V., Di Giuda, G. M., & Carbonari, A. (2017). Integrating BIM and Bayesian Networks to support the management of large building stocks. In Re-shaping the construction industry (pp. 224-233). Florence, Italy. https://doi.org/10.22260/isarc2018/0049
Douglas Balcomb, J., & Curtner, A. (2000). Multi-criteria decision-making process for buildings. In 35th Intersociety Energy Conversion Engineering Conference and Exhibit (IECEC), Las Vegas, NV, USA. https://doi.org/10.1109/iecec.2000.870762
Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, P., & Uthurusamy, R. (1996). Advances in knowledge discovery and data mining. Menlo Park, California: AAAI Press/The MIT Press.
Frulla, S. (2017). Development of probabilistic key performance indicators for facility management (Master Degree Thesis, Università Politecnica delle Marche). Ancona, Italy.
Giretti, A., Lemma, M., Casals, M., Macarulla, M., Fuertes, A., & Jones, R. (2017). Effective building modelling for energy performance contracting. In Third IBPSA-Italy Conference, Building Simulation Applications BSA, Bolzano, Italy.
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, 8190. https://doi.org/10.1016/j.buildenv.2013.07.019
Il presidente del consiglio dei ministri. (1997). DPCM 5 dicembre 1997, Determinazione dei requisiti acustici passivi degli edifici, Gazzetta Ufficiale – Serie Generale n.297 del 22-12-1997 (in Italian). Retrieved from http://www.gazzettaufficiale.it/eli/id/1997/12/22/97A10190/sg
Jaitha, A. (2017). An introduction to the theory and applications of Bayesian Networks (Claremont Colleges Senior Thesis).
Kassem, M., Dawood, N., & Mitchell, D. (2012). A decision support system for the selection of curtain wall systems at the design development stage. Construction Management and Economics, 30, 1039-1053. https://doi.org/10.1080/01446193.2012.725940
Khaja, A. M., Seo J. D., McArthur, J. J. (2016). Optimizing BIM metadata manipulation using parametric tools. Procedia Engineering, 145, 259-266. https://doi.org/10.1016/j.proeng.2016.04.072
Kofod-Petersen, A., Langseth, H., & Aamodt, A. (2010). Explanations in Bayesian Networks using provenance through case-based reasoning. In ICCBR, The Eighteenth International Conference on Case-Based Reasoning, Workshop Proceedings, 19–22 July 2010, Alessandria, Italy (pp. 79-86).
Kundu, A., Eaton, M. J., Al-Jumali, S., Sikdar, S., & Pullin, R. (2017). Acoustic emission based damage localization in composites structures using Bayesian identification. In 12th International Conference on Damage Assessment of Structures. https://doi.org/10.1088/1742-6596/842/1/012081
Lai, Y.-T., Wang, W.-C., & Wang, H.-H. (2008). AHP- and simulation-based budget determination procedure for public building construction projects. Automation in Construction, 17(5), 623-632. https://doi.org/10.1016/j.autcon.2007.10.007
Lee, S., Bilionis, I., Karava, P., & Tzempelikos, A. (2017). A Bayesian approach for probabilistic classification and inference of occupant thermal preferences in office buildings. Building and Environment, 118, 323-343. https://doi.org/10.1016/j.buildenv.2017.03.009
Lindelöf, D., Alisafaee, M., Borsò, P., Grigis, C., Mocellin, X., & Viaene, J. (2017). Bayesian evaluation of energy conservation measures: a case study with a model-predictive controller for space heating on a commercial building. Energy Procedia, 122, 235-240. https://doi.org/10.1016/j.egypro.2017.07.351
Løken, E. (2007). Use of multicriteria decision analysis methods for energy planning problems. Renewable and Sustainable Energy Reviews, 11(7), 1584-1595. https://doi.org/10.1016/j.rser.2005.11.005
Magrini, A. (2005). Progettare il silenzio – Tecniche di intervento per il benessere acustico. Rome: EPC Libri (in Italian).
Ministero delle infrastrutture e dei Trasporti. (1989). Decreto Ministeriale 14 giugno 1989, n.236, Prescrizioni tecniche necessarie a garantire l’accessibilità, l’adattabilità e la visitabilità degli edifici privati e di edilizia residenziale pubblica sovvenzionata e agevolata, ai fini del superamento e dell’eliminazione delle barriere architettoniche, Gazzetta Ufficiale - Serie Generale n.145 del 23-6-1989 (in Italian). Retrieved from http://www.mit.gov.it/mit/site.php?p=normativa&o=vd&id=1588
Ministero dell’ambiente e della tutela del territorio e del mare. (2017). Decreto Ministeriale 11 gennaio 2017, Adozione dei criteri ambientali minimi per gli arredi per interni, per l’edilizia e per i prodotti tessili, Gazzetta Ufficiale – Serie Generale n.23 del 28-01-2017 (in Italian). Retrieved from http://www.gazzettaufficiale.it/eli/gu/2017/01/28/23/sg/pdf
Pearl, J. (1998). Probabilistic reasoning in intelligent systems: Networks of Plausible Inference (2nd ed.). California: Morgan Kaufmann Publishers.
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
Rosenfeld, Y., & Shohet, I. M. (1999). Decision support model for semi-automated selection of renovation alternatives. Automation in Construction, 8(4), 503-510. https://doi.org/10.1016/S0926-5805(98)00097-1
Roulet, C. A., Flourentzou, F., Labben, H. H., Santamouris, M., Koronaki, I., Dascalaki, E., & Richalet, V. (2002). ORME: A multicriteria rating methodology for buildings. Building and Environment, 37(6), 579-586. https://doi.org/10.1016/S0360-1323(02)00005-7
Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48(1), 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. https://doi.org/10.1504/ijssci.2008.017590
Sabaei, D., Erkoyuncu, J., & Roy, R. (2015). A review of multicriteria decision making methods for enhanced maintenance delivery. Procedia CIRP, 37, 30-35. https://doi.org/10.1016/j.procir.2015.08.086
Sasmal, S., Ramanjaneyulu, K., & Lakshmanan, N. (2007). Priority ranking towards condition assessment of existing reinforced concrete bridges. Structure and Infrastructure Engineering, 3(1), 75-89. https://doi.org/10.1080/15732470500473549
Shohet, I. M. (2003). Building evaluation methodology for setting maintenance priorities in hospital buildings. Construction Management and Economics, 21(7), 681-692. https://doi.org/10.1080/0144619032000115562
Solihin, W., Eastman, C., Lee, Y.-C., & Yang, D.-H. (2017). A simplified relational database schema for transformation of BIM data into a query-efficient and spatially enabled database. Automation in Construction, 84, 367-383. https://doi.org/10.1016/j.autcon.2017.10.002
Volk, R., Stengel, J. & Schultmann, F. (2014). Building Information Modeling (BIM) for existing buildings – Literature review and future needs. Automation in Construction, 38, 109127. https://doi.org/10.1016/j.autcon.2013.10.023