Patient Flow Prediction-Based Energy Savings in Green Hospitals: A Simulation Study

Qing Wang; Taojun Wang; Jingshan Li

RA-L 20241 citations

Patient Flow Prediction-Based Energy Savings in Green Hospitals: A Simulation Study

Abstract

To reduce energy consumption, green hospitals have received increasing research attention. In this letter, a patient flow prediction-based approach is introduced to control air conditioning system for energy savings in green hospitals. The patient occupancy in various hospital units is predicted through a discrete-event simulation model. Control policies are developed by using the predicted information to adjust parameters of a thermal model for fresh air and cooling load in air conditioning systems. It is shown that such an approach can lead to significant energy savings in hospitals.

BibTeX

@inproceedings{ral2024_patientflowpredi,
  title = {Patient Flow Prediction-Based Energy Savings in Green Hospitals: A Simulation Study},
  author = {Qing Wang and Taojun Wang and Jingshan Li},
  booktitle = {RA-L 2024},
  year = {2024}
}