Centrala begrepp
Optimizing energy consumption while maintaining indoor air quality through a PDE-based approach.
Sammanfattning
The article discusses the importance of optimizing HVAC systems in buildings for energy efficiency and indoor air quality, especially in response to the COVID-19 pandemic. It introduces a novel partial differential equation (PDE)-based learning and control framework to achieve optimal airflow supply rates and temperatures. The study aims to reduce energy consumption while ensuring occupants' comfort and safety by modeling airflow dynamics, thermal dynamics, and air quality using PDEs. Existing HVAC control methods are compared, highlighting the benefits of the proposed approach in terms of energy savings and improved indoor environment quality.
Statistik
HVAC systems account for up to 50% of a building’s energy usage.
CO2 concentrations are used as an indicator of indoor air quality.
Proposed method achieves a 52.6% reduction in energy consumption compared to maximum airflow policy.
Energy savings of 36.4% and 10.3% compared to RL and control with ODE models, respectively.
Citat
"In response to the COVID-19 pandemic, there has been a notable shift in literature towards enhancing indoor air quality and public health via Heating, Ventilation, and Air Conditioning (HVAC) control."
"Existing building HVAC control methods fall into three categories: rule-based control, optimization-based control, and learning-based control."
"Our proposed framework is able to model spatiotemporal dynamics with PDEs, leading to improved energy efficiency, ensured thermal comfort, and a healthy indoor environment."