Towards a Real-Time Predictive Management Approach of Indoor Air Quality in Energy-Efficient Buildings
| Autor: | Mohamed Bakhouya, Radouane Ouladsine, Mohamed Essaaidi, Anass Berouine |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
ventilation systems control
Control and Optimization Computer science 020209 energy 0211 other engineering and technologies Energy Engineering and Power Technology 02 engineering and technology lcsh:Technology Automotive engineering law.invention energy efficiency in buildings Indoor air quality Control theory law 021105 building & construction 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Engineering (miscellaneous) Renewable Energy Sustainability and the Environment business.industry lcsh:T model and generalized predictive control Energy consumption Automation indoor air quality comfort CO2 regulation Model predictive control Air conditioning Ventilation (architecture) business Energy (miscellaneous) Efficient energy use |
| Zdroj: | Energies, Vol 13, Iss 3246, p 3246 (2020) Energies; Volume 13; Issue 12; Pages: 3246 |
| ISSN: | 1996-1073 |
| Popis: | Ventilation, heating and air conditioning systems are the main energy consumers in building sector. Improving the energy consumption of these systems, while satisfying the occupants’ comfort, is the major concern of control and automation designers and researchers. Model predictive control (MPC) methods have been widely studied in order to reduce the energy usage while enhancing the occupants’ comfort. In this paper, a generalized predictive control (GPC) algorithm based on controlled auto-regressive integrated moving average is investigated for standalone ventilation systems’ control. A building’s ventilation system is first modeled together with the GPC and MPC controllers. Simulations have been conducted for validation purposes and are structured into two main parts. In the first part, we compare the MPC with two traditional controllers, while the second part is dedicated to the comparison of the MPC against the GPC controller. Simulation results show the effectiveness of the GPC in reducing the energy consumption by about 4.34% while providing significant indoor air quality improvement. |
| Databáze: | OpenAIRE |
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