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A fuzzy cognitive map-based algorithm for predicting water consumption in Spanish healthcare centres

Building Simulation 2023年第11期16卷 2193-2205页

作者： Gonzalo Sánchez-Barroso Jaime González-Domínguez Joao Paulo Almeida-Fernandes Justo García-Sanz-Calcedo Engineering Projects Area University of ExtremaduraAv.Elvas06006BadajozSpain Department of Paisagem Ambiente e OrdenamentoUniversity of EvoraR.Romão Ramalho7000-650ÉvoraPortugal

The management of water consumption in healthcare centres can have positive impacts on both the environmental performance and profitability of health systems.Computational tools assist in the decision-making process of managing the operation and maintenance of healthcare centres.This research aimed to integrate the empirical knowledge of experts in healthcare Engineering and the historical data from 66 healthcare centres in a Fuzzy Cognitive Map.The outputs of the predictive model included water consumption,water cost,and CO_(2) emissions in healthcare facilities,along with eleven variables to discover the causes and consequences of water consumption in healthcare centres.A healthcare centre with about 12350 users,located in a city that experiences an average of 1100 heating degree days,whose facilities be moderately energy-efficient contributing over 50%with renewable energies is expected to consume 8.4 dam^(3) of water with 32.1 k€of cost,and contribute realising 30.8 ton CO_(2)eq emissions.The use of Fuzzy Cognitive Maps for prediction can provide a high level of effectiveness in identifying the factors that contribute to water consumption and in designing key performance indicators to manage the environmental performance of healthcare buildings.This tool is extremely effective in enhancing the performance of the management division of health systems.

关键词： water consumption Fuzzy Cognitive Maps healthcare centres healthcare Engineering water management

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