Application of artificial intelligence in sustainable building design - Optimisation methods

Ewa Gilner; Adam Galuszka; Tomasz Grychowski

doi:10.1109/MMAR.2019.8864698

Application of artificial intelligence in sustainable building design - Optimisation methods

Silesian University of Technology
Rolfe Judd Sp. z o.o.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

Abstract

The need to reduce energy consumption, resources, the introduction of new and ecological materials, the multiplicity of modern technologies available, and the complexity and multi-branch nature of architectural and construction projects means that designers must make complex and difficult decisions. This work presents currently available and used in the AEC industry project tools, sustainable building design analysis and provides an overview of the possibilities of using artificial intelligence methods and tools, such as Knowledge Based Engineering (KBE), fuzzy logic, neural networks, genetic algorithms, Monte-Carlo simulation. These methods can be used in the early design stage to improve decision making process and to optimize both the design process and the project itself. This article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.

Original language	English
Title of host publication	2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	81-86
Number of pages	6
ISBN (Electronic)	9781728109336
DOIs	https://doi.org/10.1109/MMAR.2019.8864698
Publication status	Published - Aug 2019
Event	24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019 - Miedzyzdroje, Poland Duration: 26 Aug 2019 → 29 Aug 2019

Publication series

Name	2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019

Conference

Conference	24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019
Country/Territory	Poland
City	Miedzyzdroje
Period	26/08/19 → 29/08/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

AEC managing tools
Architectural Design
Decision Making
Knowledge Based Engineering
Pareto Genetic Algorithms

ASJC Scopus subject areas

Artificial Intelligence
Hardware and Architecture
Safety, Risk, Reliability and Quality
Control and Optimization
Modeling and Simulation

Access to Document

10.1109/MMAR.2019.8864698

Cite this

Gilner, E., Galuszka, A., & Grychowski, T. (2019). Application of artificial intelligence in sustainable building design - Optimisation methods. In 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019 (pp. 81-86). Article 8864698 (2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MMAR.2019.8864698

Gilner, Ewa ; Galuszka, Adam ; Grychowski, Tomasz. / Application of artificial intelligence in sustainable building design - Optimisation methods. 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 81-86 (2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019).

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title = "Application of artificial intelligence in sustainable building design - Optimisation methods",

abstract = "The need to reduce energy consumption, resources, the introduction of new and ecological materials, the multiplicity of modern technologies available, and the complexity and multi-branch nature of architectural and construction projects means that designers must make complex and difficult decisions. This work presents currently available and used in the AEC industry project tools, sustainable building design analysis and provides an overview of the possibilities of using artificial intelligence methods and tools, such as Knowledge Based Engineering (KBE), fuzzy logic, neural networks, genetic algorithms, Monte-Carlo simulation. These methods can be used in the early design stage to improve decision making process and to optimize both the design process and the project itself. This article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.",

keywords = "AEC managing tools, Architectural Design, Decision Making, Knowledge Based Engineering, Pareto Genetic Algorithms",

author = "Ewa Gilner and Adam Galuszka and Tomasz Grychowski",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019 ; Conference date: 26-08-2019 Through 29-08-2019",

year = "2019",

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doi = "10.1109/MMAR.2019.8864698",

language = "English",

series = "2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Gilner, E, Galuszka, A & Grychowski, T 2019, Application of artificial intelligence in sustainable building design - Optimisation methods. in 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019., 8864698, 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, Institute of Electrical and Electronics Engineers Inc., pp. 81-86, 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, Miedzyzdroje, Poland, 26/08/19. https://doi.org/10.1109/MMAR.2019.8864698

Application of artificial intelligence in sustainable building design - Optimisation methods. / Gilner, Ewa; Galuszka, Adam ; Grychowski, Tomasz.
2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 81-86 8864698 (2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Application of artificial intelligence in sustainable building design - Optimisation methods

AU - Gilner, Ewa

AU - Galuszka, Adam

AU - Grychowski, Tomasz

PY - 2019/8

Y1 - 2019/8

N2 - The need to reduce energy consumption, resources, the introduction of new and ecological materials, the multiplicity of modern technologies available, and the complexity and multi-branch nature of architectural and construction projects means that designers must make complex and difficult decisions. This work presents currently available and used in the AEC industry project tools, sustainable building design analysis and provides an overview of the possibilities of using artificial intelligence methods and tools, such as Knowledge Based Engineering (KBE), fuzzy logic, neural networks, genetic algorithms, Monte-Carlo simulation. These methods can be used in the early design stage to improve decision making process and to optimize both the design process and the project itself. This article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.

AB - The need to reduce energy consumption, resources, the introduction of new and ecological materials, the multiplicity of modern technologies available, and the complexity and multi-branch nature of architectural and construction projects means that designers must make complex and difficult decisions. This work presents currently available and used in the AEC industry project tools, sustainable building design analysis and provides an overview of the possibilities of using artificial intelligence methods and tools, such as Knowledge Based Engineering (KBE), fuzzy logic, neural networks, genetic algorithms, Monte-Carlo simulation. These methods can be used in the early design stage to improve decision making process and to optimize both the design process and the project itself. This article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.

KW - AEC managing tools

KW - Architectural Design

KW - Decision Making

KW - Knowledge Based Engineering

KW - Pareto Genetic Algorithms

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M3 - Conference contribution

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SP - 81

EP - 86

BT - 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019

Y2 - 26 August 2019 through 29 August 2019

ER -

Gilner E, Galuszka A , Grychowski T. Application of artificial intelligence in sustainable building design - Optimisation methods. In 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 81-86. 8864698. (2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019). doi: 10.1109/MMAR.2019.8864698

Application of artificial intelligence in sustainable building design - Optimisation methods

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this