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Building Multi-ObjectivePerformance Optimization:Energy & Daylight

2015

Building Scale

Computational Designer | Researcher 

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Project

Description

This study aims to identify non-dominated design solutions that minimize annual building energy consumption and improve indoor daylight conditions.

Multi-scalar Computational Design

Parameters

  • X1     Window to Wall Ratio

  • X2     Overhang Depth

  • X3     Wall U-value

  • X4     Roof U-value

  • X5    Windows U value

  • X6     Number of Storeys

  • X7     Footprint Area

  • X8     HVAC type

Environmental Performance Analysis

            Tools                                 Metrics

  • OpenStudio               Energy Use Intensity 

  • OpenStudio               Daylighting

Data Analysis

Method

Multi-Objective Evolutionary Algorithm

Publication

Aydin, E. E., Dursun, O., Chatzikonstantinou, I., & Ekici, B. (2015).  Optimisation of energy consumption and daylighting using building performance surrogate model.  In 49th International Conference of the Architectural Science Association (pp. 536-546).

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