Multi-Objective Optimization for Flexible Building Space Usage

Huanbo Lyu, Daniel Herring, Lingfeng Wang, Jelena Ninic, James Andrews, Miqing Li, Michal Kocvara, Fabian Spill, Shuo Wang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

147 Downloads (Pure)

Abstract

Globally, more than 30% of the world's energy consumption arises in buildings. Optimization of buildings is a key opportunity for reducing energy consumption and carbon emissions, improving operational efficiency and occupant well-being and comfort. While building generative design and control systems have received considerable research attention, optimizing space utilization, particularly for flexible spaces is an underdeveloped research area that is relevant to existing buildings. Flexible spaces, for example, rooms with movable walls, are increasingly common in modern building designs where space requirements are dynamic. In this paper, a novel space usage optimization framework is proposed, including a practical task formulation that enables room reallocation, combination and removal, a machine learning model for energy cost estimation (XGBoost) based on real sensor data and a multi-objective optimization component to minimize energy consumption and maximize room thermal comfort simultaneously (NSGA-II). Its effectiveness is tested and discussed through two representative problem scenarios. Our case studies show that we can reduce energy cost substantially by around 40% in comparison with the original space usage setting, while additionally improving thermal comfort for the occupants. This work shows great potential of using AI techniques for optimizing building space usage.

Original languageEnglish
Title of host publication2024 IEEE Conference on Artificial Intelligence (CAI)
PublisherIEEE
Pages932-939
Number of pages8
ISBN (Electronic)9798350354096
ISBN (Print)9798350354102
DOIs
Publication statusPublished - 30 Jul 2024
Event2024 IEEE Conference on Artificial Intelligence - Marina Bay Sands, Singapore
Duration: 25 Jul 202427 Jul 2024

Publication series

NameArtificial Intelligence (CAI), IEEE Conference on

Conference

Conference2024 IEEE Conference on Artificial Intelligence
Abbreviated titleIEEE CAI 2024
Country/TerritorySingapore
Period25/07/2427/07/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Building Optimization
  • Building Space Management
  • Energy Optimization
  • Flexible Space Utilization
  • Machine Learning
  • Multi-Objective Optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Modelling and Simulation

Fingerprint

Dive into the research topics of 'Multi-Objective Optimization for Flexible Building Space Usage'. Together they form a unique fingerprint.

Cite this