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--- basics:energy_and_ecology:decision_support_tool [2024/10/25 12:19] – created yaling.hsiao@passiv.de
+++ basics:energy_and_ecology:decision_support_tool [2024/10/30 10:45] (current) – yaling.hsiao@passiv.de
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 ===== 	Solution approach =====
 The tool development DeSuTo (Decision Support Tool) from outPHit is currently limited to the renovation of the building envelope of residential buildings. In addition, the number of integrated solutions is currently still very limited and restricted to concepts from the literature. Modular expandability ensures the cyclical addition of solutions in the future. To ensure this expandability, a software solution with a standardized data structure was used. This is the only way to ensure long-term usability in the software.
-The effectiveness of a measure is measured in particular by the resulting energy demand. To do this, it is necessary to record relevant building information and carry out an energy assessment. The PHPP passive house project planning package is used for the assessment (https://passipedia.de/planung/energieeffizienz_ist_berechenbar/energiebilanzen_mit_dem_phpp?s[]=phpp). Users work through a list of questions in order to obtain the necessary information for the PHPP and thus generate a sufficiently accurate model of the existing building and at the same time guarantee a high level of usability.
+The effectiveness of a measure is measured in particular by the resulting energy demand. To do this, it is necessary to record relevant building information and carry out an energy assessment. The  [[https://passipedia.de/planung/energieeffizienz_ist_berechenbar/energiebilanzen_mit_dem_phpp?s[]=phpp|PHPP passive house project planning package]] is used for the assessment. Users work through a list of questions in order to obtain the necessary information for the PHPP and thus generate a sufficiently accurate model of the existing building and at the same time guarantee a high level of usability.
 As hardly any detailed information is available during the early building design phase, DeSuTo relies on supplementing missing information with statistically validated data. If a necessary information field can be used by the user, missing information is compensated for by comparing it with statistically validated data from TABULA (Typology Approach for Building Stock Energy Assessment [Loga 2016]) and districtPH. TABULA comprises a database of around 500 buildings from various countries. Questions in the decision tool are used to classify and assign the object under consideration to the TABULA building classes using categories such as building size, age class and location. Missing information on constructions, u-values and heating systems is also obtained.
-In order to reduce the number of potential variants and thus reduce the calculation time, the question structure already excludes individual concepts. For example, individual systems are defined by the required fixing points, installation conditions and module size. Questions are therefore used to identify potential fixing points and the capacity of existing supporting structures. In addition to site accessibility, these also provide information about possible module sizes for prefabricated façade elements. To achieve a high level of user-friendliness, the support tool was implemented as a web application (https://desuto.outphit.eu/).
+In order to reduce the number of potential variants and thus reduce the calculation time, the question structure already excludes individual concepts. For example, individual systems are defined by the required fixing points, installation conditions and module size. Questions are therefore used to identify potential fixing points and the capacity of existing supporting structures. In addition to site accessibility, these also provide information about possible module sizes for prefabricated façade elements. To achieve a high level of user-friendliness, the support tool was implemented as a web application [[https://desuto.outphit.eu/|Decision Support Tool]].
 The tool provides users with an initial assessment for a potential refurbishment concept. The output includes a brief description of the concept, a link to the relevant literature source and a compact overview of the most important energy performance indicators, which come from the PHPP working in the background.
+===== LIMITATIONS =====
+In addition to the current limitation to a few concepts in literature and residential buildings, the literature emphasizes that social aspects, aesthetics and economic aspects in particular also have a high influence on the system selection and implementation of a refurbishment measure (see [Pombo 2016]). Integrating these criteria would ensure a holistic view and evaluation of refurbishment concepts, which is why this should be the subject of future research and development activities.
+===== Conclusion =====
+As buildings are constructed and used in very different ways, hardly any two refurbishment projects are the same. This can lead to complex decision-making processes when selecting a refurbishment solution. The wrong decisions can lead to the optimal energy saving potential not being achieved. Support tools, such as the DeSuTo program presented here, are used to ease challenges in the selection of suitable renovation solutions for residential buildings. The results of this new program can provide a basis for subsequently planning the next steps with energy consulting experts.
+===== Availability =====
+The tool is available at the following link: [[https://desuto.outphit.eu/|Decision Support Tool]].
+===== References =====
+**[Ferreira 2013]**	Ferreira, J.; Duarte Pinheiro, M.; de Brito, J.: Refurbishment decision support tools: A review from a Portuguese user’s Perspective, Construction and Building Material, 49, pp. 425-447, 2013.
+**[Flourentzou 2002]**	Flourentzou, F.; Genre, J. L.; Roulet, C.-A.: TOBUS software — an interactive decision aid tool for building retrofit studies. Energy and Buildings, 34(2), pp. 193-202, 2002.
+**[Genre 2000]**	Genre, J.-L.; Flourentzos, F.; Stockli, T.: Building refurbishment: habitat upgrading, Energy and Buildings, 31(2), pp. 155-157, 2000.
+**[Gilani 2021]**	Gilani, G., Hosseini, S. M. A., Pons-Valladares, O., de la Fuente, A.: An enhanced multi-criteria decision-making approach oriented to sustainability analysis of building facades: A case study of Barcelona, Journal of Building Engineering, Bd. 54, p. 104630, 2021.
+**[Kamari 2021]**	Kamari, A.; Kirkegaard, P. H.; Schultz, C. P. L.: PARADIS - A process integrating tool for rapid generation and evaluation of holistic renovation scenarios, Journal of Building Engineering, 34, pp. 101944, 2021.
+**[Lanzarote 2021]**	Lanzarote, B. S., Escudero, C. I. J., Almela, D. S., Clausell, J. R.: Decision-Making Aid Tool to Support Renovation of Buildings with Industrialised All-in-One Technology Solutions, Environmental Sciences Proceedings, 11(1), p. 4, 2021.
+**[Loga 2016]**	Loga, T., Stein, B., Diefenbach, N.: TABULA building typologies in 20 European countries—Making energy-related features of residential building stocks comparable, Energy and Buildings, 132, pp. 4-12, 2016.
+**[Nemry 2010]**	Nemry, F., Uihlein, A., Colodel, C. M., Wetzel, C., Braune, A., Wittstock, B., Hasan, I., Kreißig, J., Gallon, N., Niemeier S., Frech, Y.: Options to reduce the environmental impacts of residential buildings in the European Union—Potential and costs, Energy and Buildings, Bd. 42, Nr. 7, pp. 976-984, 2010.
+**[Nielsen 2016]**	Nielsen, A. N.; Jensen, R. L.; Larsen, T. S.; Nissen, S. B.: Early stage decision support for sustainable building renovation – A review. Building and Environment 103, pp. 165-181, 2016.
+**[outPHit D4.4]**	Hammes, S., Pfluger, R.: outPHit D4.4 Development of a suitable tool for the selection of renovation concepts, 2024
+[Pombo 2016]	Pombo, O., Rivela, B., Neila, J.: The challenge of sustainable building renovation: assessment of current criteria and future outlook, Journal of Cleaner Production, 123, pp. 88-100, 2016.
+**[Sandberg 2016]**	Sandberg, K.; Orskaug, T.; Andersson, A.: Prefabricated wood elements for sustainable renovation of residential building façades. Energy Procedia 96, pp. 756-767, 2016.
+**[Torres 2021]**	Torres, J., Garay-Martinez, R., Oregi, X., Torrens-Galdiz, J., Uriarte-Arrien, A. Pracucci, A., Casadei, O., Magnani, S., Arroyo N., Cea, A.: Plug and Play Modular Façade Construction System for Renovation for Residential Buildings, Buildings, Bd. 11, Nr. 9, p. 419, 2021.
+**[Wittchen 2000]**	Wittchen, K. B.; Aggerholm, S.: Calculation of building heating demand in EPIQR, Energy and Buildings 31(2), pp. 137-141, 2000.
+----
+{{:picopen:outphit_logo_description.png?400|}}  {{:picopen:eu_logo_description.png?400|}}
+----
+===== See Also =====
+[[planning:tools:outphit_decision_support_tool]]
+[[planning:tools]]
+[[https://passipedia.org/eu_projects_publications#outphit_-_deep_retrofits_made_faster_cheaper_and_more_reliable|outPHit - Deep retrofits made faster, cheaper and more reliable]]