Multi-objective optimization of the design of two-stage flash evaporators: Part 2. Multi-objective optimization

Sébastian, Patrick; Quirante, Thomas; Tiat, Vanessa Ho Kon; Ledoux, Yann

doi:10.1016/j.ijthermalsci.2010.07.002

Cited by 21 publications

(15 citation statements)

References 13 publications

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“…En nuestro caso de estudio hay 12 criterios de evaluación con distintos niveles de medición, por lo que para volverlos comparables y analizables se ha utilizado la función de aceptabilidad adaptada por Sebastian et al (17) y Wagner y Trautmann (18).…”

Section: El Modelo De Interpretaciónunclassified

Requerimientos de usuarios de la edificación traducidos en una metodología de apoyo a la decisión

Valderrama-Ulloa¹,

Puiggali²

2014

Inf. constr.

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Licencia/License: Salvo indicación contraria, todos los contenidos de la edición electrónica de Informes de la Construcción se distribuyen bajo una licencia de uso y distribución Creative Commons Reconocimiento no Comercial 3.0. España (cc-by-nc).Cómo citar este artículo/Citation: Valderrama-Ulloa, C., Puiggali, J. R. (2014). Requerimientos de usuarios de la edificación traducidos en una metodología de apoyo a la decisión. Informes de la Construcción, 66(534) RESUMENDiferentes actores del sector de la edificación han desarrollado diversos métodos que evalúan la calidad de sus edificios en respuesta a problemáticas medioambientales. Métodos desarrollados en un contexto específico, en este último tiempo han alcanzado una gran popularidad, pero al mismo tiempo ambigüedad en su medición, confusión en el objetivo que persiguen, olvidando el contexto en los que han sido concebidos. En este trabajo se desarrolla una metodología de apoyo a la decisión que evalúa el comportamiento de edificios terciarios en fase de explotación desde el punto de vista energético-medioambiental y satisfacción de sus usuarios, con el fin de decidir entre una rehabilitación o la demolición. El caso de estudio es un campus universitario en Francia, el cual reúne distintos usos y usuarios, y por lo tanto distintos requerimientos de calidad y de confort. Los indicadores que conforman la metodología consideran esta complejidad entregando sus resultados en un único perfil de evaluación, permitiendo ser aplicados en distintos contextos.Palabras clave: Indicadores; certificación medioambiental; método multicriterio; sector terciario. ABSTRACT Different actors of building sector have developed various methods that assess the quality of its buildings in response to environmental issues. The methods developed in a specific

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Section: El Modelo De Interpretaciónunclassified

Requerimientos de usuarios de la edificación traducidos en una metodología de apoyo a la decisión

Valderrama-Ulloa¹,

Puiggali²

2014

Inf. constr.

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“…Starting from target values derived from the requirements of the design problem or from design heuristics, desirability functions are used to relax these constraints and translate the design problem into a global model taking into account mathematical inferences (such as Eq. (4)) and desirability functions (Jeong & Kim, 2009;Pasandideh & Niaki, 2006;Sébastian, Quirante, Ho Kon Tiat, & Ledoux, 2010).…”

Section: Scientific Backgroundmentioning

confidence: 99%

Linking objective and subjective modeling in engineering design through arc-elastic dominance

Sébastian

Ledoux

Collignan

et al. 2012

Expert Systems with Applications

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. Engineering design in mechanics is a complex activity taking into account both objective modeling processes derived from physical analysis and designers' subjective reasoning. This paper introduces arc-elastic dominance as a suitable concept for ranking design solutions according to a combination of objective and subjective models. Objective models lead to the aggregation of information derived from physics, economics or eco-environmental analysis into a performance indicator. Subjective models result in a confidence indicator for the solutions' feasibility. Arc-elastic dominant design solutions achieve an optimal compromise between gain in performance and degradation in confidence. Due to the definition of arcelasticity, this compromise value is expressive and easy for designers to interpret despite the difference in the nature of the objective and subjective models. From the investigation of arc-elasticity mathematical properties, a filtering algorithm of Pareto-efficient solutions is proposed and illustrated through a design knowledge modeling framework. This framework notably takes into account Harrington's desirability functions and Derringer's aggregation method. It is carried out through the re-design of a geothermal air conditioning system.

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“…These three steps (Observation, Interpretation, Aggregation) constitute the objective function F(X)=GDI obtained through the OIA method [6][7][8]. Since all the design constraints are formalized using desirability functions [18], the design optimization problem can be expressed as follows, without any constraint (Eq.…”

Section: Desirability and Design Objectivesmentioning

confidence: 99%

“…To automate the design process, it is necessary to formalize the performance expression. Several methods can be used as Utility theory [2] from economics, Theory of Imprecision [3][4][5] applied in engineering and Observation-InterpretationAggregation method (OIA) used in design optimization contexts [6][7][8]. The OIA method is the most interesting because of its ability to formalize soft constraints and several design objectives.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of product in dynamic design space and selection through the arc-elasticity concept

Collignan

Sébastian

Pailhès

et al. 2011

Int J Interact Des Manuf

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In the industrial design process, "trial-and-error" loops are usually used between design departments and simulation departments, to design and validate a candidate solution. Such a solution is defined by instantiated design variables, characterizing the main parameters of the product. This paper proposes to replace the trial-and-error process by an optimization method; two bottlenecks were identified: the importance of the initial design solution which has already engaged delays and costs, and the formalization of designers preferences to select high-performance solutions. To take into account the initial solution, a strategy is proposed to explore the global design space (which represents all the candidate solutions) starting from the initial one, and using a hierarchical organization of the design variables. Then, the Observation-Interpretation-Aggregation method is used first to formalize designer knowledge related to the product to design and then to rank every design solution using a single performance value. Moreover, the concept of arc-elasticity is used to qualify a solution through its neighborhood, and to characterize technological breakthroughs, compared to the initial solution. This method is discussed and illustrated through the design of an aeronautical riveted assembly.

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Multi-objective optimization of the design of two-stage flash evaporators: Part 2. Multi-objective optimization

Cited by 21 publications

References 13 publications

Requerimientos de usuarios de la edificación traducidos en una metodología de apoyo a la decisión

Requerimientos de usuarios de la edificación traducidos en una metodología de apoyo a la decisión

Linking objective and subjective modeling in engineering design through arc-elastic dominance

Optimization of product in dynamic design space and selection through the arc-elasticity concept

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