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BIM-LOD: The envelope interactive design and energy system dynamic scheduling considering carbon emissions throughout the smart building life cycle

  • Xi'an Jiaotong University
  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Nowdays, the interplay between building ontology and energy systems is progressively intensifying with the development of new energy technologies, creating new challenges in terms of economic and low-carbon requirments. In order to effectively address this issue, a parametric modelling approach was first used to investigate the architecture of an interactive optimal structure for the building envelope and energy system. Secondly, BIM-LOD was employed to conduct modelling research on the evaluation and calculation of building energy systems based on information physical integration, muti-objectives, and constraint conditions such as energy balance and enclosure structure etc. Thirdly, using the actual case to provide decisions for the simulation object, and carry out analysis. The results of the study show that the average carbon emission is reduced by 77.29% and the average cost is reduced by 75.63% compared to the corresponding reference model. In addition, the effect of combined optimal solution was shown to increase by 19.21%, 15.43% and 20.35% respectively in the heating, transition and cooling seasons compared to the baseline scheme. The practical value of this study lies in its potential to manage envelope structures and energy systems in complex scenarios, thereby providing interactive design strategies and dynamic scheduling for optimising carbon emissions.

Original languageEnglish
Title of host publication2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025
PublisherIEEE Computer Society
Pages2376-2381
Number of pages6
ISBN (Electronic)9798331522469
DOIs
StatePublished - 2025
Event21st IEEE International Conference on Automation Science and Engineering, CASE 2025 - Los Angeles, United States
Duration: 17 Aug 202521 Aug 2025

Publication series

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference21st IEEE International Conference on Automation Science and Engineering, CASE 2025
Country/TerritoryUnited States
CityLos Angeles
Period17/08/2521/08/25

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