A two-phase online air balancing method for multi-zone ventilation systems based on distributed finite-time control

Building and Environment, Journal Year: 2023, Volume and Issue: 230, P. 110030 - 110030

Published: Jan. 20, 2023

Language: Английский

---

Evaluation of Optimal Mechanical Ventilation Strategies for Schools for Reducing Risks of Airborne Viral Infection

Buildings, Journal Year: 2023, Volume and Issue: 13(4), P. 871 - 871

Published: March 26, 2023

Ventilation systems are one of the most effective strategies to reduce risk viral infection transmission in buildings. However, insufficient ventilation rates crowded spaces, such as schools, would lead high risks transmission. On other hand, excessive might significantly increase cooling energy consumption. Therefore, energy-efficient control methods, Demand Control (DCV), typically considered maintain acceptable indoor air quality. it is unclear if DCV-based controls can supply adequate minimize probability (POI) spaces. This paper investigates benefits optimized strategies, including conventional mechanical (MV) and DCV, reducing POI consumption through a detailed sensitivity analysis. The study also evaluates impact rate, social distancing, number infectors on performance systems. A coupling approach calibrated model school building Jeddah, KSA, with validated Wells–Riley implemented. Based findings this study, proper adjustment DCV set point necessary levels. Moreover, optimal values 2 ACH for rate m distance recommended deliver levels, use, CO2 concentration building. Finally, confirms that increasing more than distancing reduction achieved at cost higher energy.

Language: Английский

---

Energy Efficiency and Optimization Strategies in a Building to Minimize Airborne Infection Risks

Energies, Journal Year: 2023, Volume and Issue: 16(13), P. 4960 - 4960

Published: June 26, 2023

Heating, ventilation, and air conditioning (HVAC) systems play a crucial role in either increasing or decreasing the risk of airborne disease transmission. High for instance, is common method used to control reduce infection diseases such as COVID-19. On other hand, high ventilation will increase energy consumption cost. This paper proposes an optimal HVAC controller assess trade-off between indoor To achieve this goal, nonlinear model predictive (NMPC) designed university building minimize COVID-19 transmission while reducing consumption. The NMPC uses dynamic models predict future outputs meeting system constraints. end, set physics-based are created capture heat transfer conservation mass, which controller. Then, developed experimentally validated by conducting experiments ETLC at University Alberta, Canada. A classroom equipped with number sensors measure outdoor environmental parameters temperature, relative humidity, CO2 concentration. validation results show that can room temperature concentration 0.8%, 2.4% mean absolute average errors, respectively. Based on models, calculate airflow supply every 15 min. real case studies below 1% 55% when compared existing

Language: Английский

---

Outdoor thermal condition based-segmented intermittent demand-controlled ventilation for constant-air-volume system

Building and Environment, Journal Year: 2023, Volume and Issue: 244, P. 110815 - 110815

Published: Sept. 9, 2023

Language: Английский

---

A method for estimating occupant carbon dioxide generation rates

Energy and Buildings, Journal Year: 2024, Volume and Issue: 312, P. 114163 - 114163

Published: April 16, 2024

Language: Английский

---