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Generative Modeling and Numerical Optimization for Energy Efficient Buildings

Ullrich, Torsten and Silva, Nelson and Eggeling, Eva and Fellner, Dieter W. (2013):
Generative Modeling and Numerical Optimization for Energy Efficient Buildings.
pp. 4756-4761, IEEE Press, New York, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. Proceedings, DOI: 10.1109/IECON.2013.6699904,
[Conference or Workshop Item]

Abstract

A procedural model is a script, which generates a geometric object. The script's input parameters offer a simple way to specify and modify the scripting output. Due to its algorithmic character, a procedural model is perfectly suited to describe geometric shapes with well-organized structures and repetitive forms. In this paper, we interpret a generative script as a function, which is nested into an objective function. Thus, the script's parameters can be optimized according to an objective. We demonstrate this approach using architectural examples: each generative script creates a building with several free parameters. The objective function is an energy-efficiency-simulation that approximates a building's annual energy consumption. Consequently, the nested objective function reads a set of building parameters and returns the energy needs for the corresponding building. This nested function is passed to a minimization and optimization process. Outcome is the best building (within the family of buildings described by its script) concerning energy-efficiency. Our contribution is a new way of modeling. The generative approach separates design and engineering: the complete design is encoded in a script and the script ensures that all parameter combinations (within a fixed range) generate a valid design. Then the design can be optimized numerically.

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Ullrich, Torsten and Silva, Nelson and Eggeling, Eva and Fellner, Dieter W.
Title: Generative Modeling and Numerical Optimization for Energy Efficient Buildings
Language: English
Abstract:

A procedural model is a script, which generates a geometric object. The script's input parameters offer a simple way to specify and modify the scripting output. Due to its algorithmic character, a procedural model is perfectly suited to describe geometric shapes with well-organized structures and repetitive forms. In this paper, we interpret a generative script as a function, which is nested into an objective function. Thus, the script's parameters can be optimized according to an objective. We demonstrate this approach using architectural examples: each generative script creates a building with several free parameters. The objective function is an energy-efficiency-simulation that approximates a building's annual energy consumption. Consequently, the nested objective function reads a set of building parameters and returns the energy needs for the corresponding building. This nested function is passed to a minimization and optimization process. Outcome is the best building (within the family of buildings described by its script) concerning energy-efficiency. Our contribution is a new way of modeling. The generative approach separates design and engineering: the complete design is encoded in a script and the script ensures that all parameter combinations (within a fixed range) generate a valid design. Then the design can be optimized numerically.

Publisher: IEEE Press, New York
Uncontrolled Keywords: Business Field: Virtual engineering, Forschungsgruppe Semantic Models, Immersive Systems (SMIS), 3D Graphics, Generative modeling, Numerical simulations, Optimization, General energy simulation
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. Proceedings
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1109/IECON.2013.6699904
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