Fast and self-learning indoor airflow simulation based on in situ adaptive tabulation

Author:

Tian Wei1,Sevilla Thomas Alonso1,Li Dan1,Zuo Wangda1,Wetter Michael2

Affiliation:

1. Department of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, FL, USA

2. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Funder

Office of Energy Efficiency and Renewable Energy

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modelling and Simulation,Building and Construction,Architecture

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Airflow modelling for building design: A designers' review;Renewable and Sustainable Energy Reviews;2024-06

2. Monitoring and simulation-based optimization of two multi-apartment NZEBs with heat pump, solar thermal and PV;Journal of Building Performance Simulation;2023-06-27

3. Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence;Building Simulation;2023-03-13

4. Reducio;Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2022-11-09

5. Towards high-throughput microstructure simulation in compositionally complex alloys via machine learning;Calphad;2021-03

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