A gradient descent technique coupled with a dynamic simulation to determine the near optimum orientation of floor plan designs
Eug\'enio Rodrigues (1), Ad\'elio Rodrigues Gaspar (1), \'Alvaro, Gomes (2) ((1) ADAI-LAETA Department of Mechanical Engineering University of, Coimbra (2) INESCC Department of Electrical, Computer Engineering,, University of Coimbra)

TL;DR
This paper introduces a smart optimization method combining gradient descent and dynamic simulation to efficiently identify near-optimal building orientations in floor plan designs, enhancing thermal performance evaluation.
Contribution
It presents a novel search methodology integrating gradient descent with dynamic simulation for optimizing building orientation in early design stages.
Findings
Efficiently identified near-optimal orientations for 100 floor plans.
Significant reduction in thermal simulation time during optimization.
Improved thermal performance of designs through the proposed method.
Abstract
A prototype tool to assist architects during the early design stage of floor plans has been developed, consisting of an Evolutionary Program for the Space Allocation Problem (EPSAP), which generates sets of floor plan alternatives according to the architect's preferences; and a Floor Plan Performance Optimization Program (FPOP), which optimizes the selected solutions according to thermal performance criteria. The design variables subject to optimization are window position and size, overhangs, fins, wall positioning, and building orientation. A procedure using a transformation operator with gradient descent, such as behavior, coupled with a dynamic simulation engine was developed for the thermal evaluation and optimization process. However, the need to evaluate all possible alternatives regarding designing variables being used during the optimization process leads to an intensive use of…
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Taxonomy
TopicsBuilding Energy and Comfort Optimization · Advanced Multi-Objective Optimization Algorithms · BIM and Construction Integration
