Title of article :
Designing-in performance: A framework for evolutionary energy performance feedback in early stage design
Author/Authors :
Lin، نويسنده , , Shih-Hsin Eve and Gerber، نويسنده , , David Jason، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Abstract :
Multidisciplinary design optimization (MDO) has been identified as a potential means for integrating design and energy performance domains but has not been fully explored for the specific demands of early stage architectural design. In response a design framework, titled Evolutionary Energy Performance Feedback for Design (EEPFD), is developed to support early stage design decision-making by providing rapid iteration with performance feedback through parameterization, automation, and multi-objective optimization. This paper details the development and initial validation of EEPFD through two identified needs of early stage design: 1) the ability to accommodate formal variety and varying degrees of geometric complexity; and 2) the ability to provide improved performance feedback for multiple objective functions. Through experimental cases the research presents effective application of EEPFD for architectural design.
Keywords :
Conceptual energy analysis , genetic algorithm (GA) , Performance based design , Multi-Objective optimization , Domain integration , Multidisciplinary design optimization (MDO) , design decision support , design automation
Journal title :
Automation in Construction
Journal title :
Automation in Construction