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http://dx.doi.org/10.5659/JAIK_PD.2014.30.12.279

Optimal Airflow Rate and Location of Ventilation System using Analytic Hierarchy Process and Chaos Genetic Algorithm  

Kim, Young-Jin (선문대학교, 건축사회환경학부)
Park, Cheol-Soo (성균관대학교 건축토목공학부)
Publication Information
Journal of the Architectural Institute of Korea Planning & Design / v.30, no.12, 2014 , pp. 279-287 More about this Journal
Abstract
This paper addresses an optimal design problem of ERV (Energy Recovery Ventilator) system that seeks for proper sizing and location of supply diffusers/exhaust registers. A typical of a residential unit consisting of three bedrooms, a living room, and a kitchen was selected. The elements in a cost function includes energy use, thermal comfort, and $CO_2$ concentration, leading to multi-criteria optimization problem. In this study, the aforementioned optimization problem was solved using Analytic Hierarchy Process (AHP), Chaos Genetic Algorithm (CGA) and EnergyPlus 8.0. AHP was employed to calculate relative weighting factors between the aforementioned different three performance aspects. Since the given model-based optimization problem is discontinuous and nonlinear, the authors integrated CGA to EnergyPlus. It has been elaborated in the paper that the CGA approach is superior to a traditional Genetic Algorithm (GA) in terms of simulation time and searching for global optima.
Keywords
Multi Criteria Optimal Design; Analytic Hierarchy Process; Chaos Genetic Algorithm; Ventilation;
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Times Cited By KSCI : 2  (Citation Analysis)
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