Combining formal definition of a simulation model with heuristics to improve building sustainability

Sustainability is related with environmental, social and economic variables. Each one of these areas is, by itself, complex due to the huge number of factors that one must analyze. Because of the combination of the levels with the factors, and the needed replications, an exponential growth in the nu...

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Hauptverfasser:	Fonseca Casas, Pau, Fonseca Casas, Antoni
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Sprache:	eng
Schlagworte:	65 Numerical analysis 65C Probabilistic methods, simulation and stochastic differential equations 90 Operations research, mathematical programming 90C Mathematical programming Anàlisi numèrica Classificació AMS Investigació operativa Matemàtiques i estadística Numerical analysis Programació (Matemàtica) Programming (Mathematics) Simulation methods Àrees temàtiques de la UPC
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creator	Fonseca Casas, Pau Fonseca Casas, Antoni
description	Sustainability is related with environmental, social and economic variables. Each one of these areas is, by itself, complex due to the huge number of factors that one must analyze. Because of the combination of the levels with the factors, and the needed replications, an exponential growth in the number of executions appears. In this paper we describe a methodology that helps us to deal with this complexity applying three key concepts, formal representation of simulation models, optimization algorithms and high-performance computing. We present an infrastructure named NECADA that supports the methodology. This approach can be applied to a building refurbishment or to define optimal parameters in new buildings. The specialists work with the conceptual model, and from it with the system; following the method, they will be able to find optimal scenarios using a selection of build-in heuristics that can be applied for the problem resolution. Peer Reviewed
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Each one of these areas is, by itself, complex due to the huge number of factors that one must analyze. Because of the combination of the levels with the factors, and the needed replications, an exponential growth in the number of executions appears. In this paper we describe a methodology that helps us to deal with this complexity applying three key concepts, formal representation of simulation models, optimization algorithms and high-performance computing. We present an infrastructure named NECADA that supports the methodology. This approach can be applied to a building refurbishment or to define optimal parameters in new buildings. The specialists work with the conceptual model, and from it with the system; following the method, they will be able to find optimal scenarios using a selection of build-in heuristics that can be applied for the problem resolution. 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subjects	65 Numerical analysis 65C Probabilistic methods, simulation and stochastic differential equations 90 Operations research, mathematical programming 90C Mathematical programming Anàlisi numèrica Classificació AMS Investigació operativa Matemàtiques i estadística Numerical analysis Programació (Matemàtica) Programming (Mathematics) Simulation methods Àrees temàtiques de la UPC
title	Combining formal definition of a simulation model with heuristics to improve building sustainability
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