State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field

Yao, Ye; Shekhar, Divyanshu Kumar

doi:10.1016/j.buildenv.2021.107952

Cited by 186 publications

(61 citation statements)

References 143 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The combinations of these proposed models can be integrated with different control strategies to set up an effective EMS for a wide range of types of buildings. The control variables can be continuous variables, such as energy flows, part load ratios and setpoint temperatures, or discrete variables, such as on/off states [203,204]. Simple EMS with RBC is preferred in simple scenarios where a single objective and a few technologies are considered.…”

Section: Discussionmentioning

confidence: 99%

A Review of Mathematical Models of Building Physics and Energy Technologies for Environmentally Friendly Integrated Energy Management Systems

2022

View full text Add to dashboard Cite

The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the building performance. In the state-of-the-art, building performance analysis is separated into building simulation and control management: this may cause inaccuracies and extra operating time. Thus, a coherent framework to integrate building physics with various energy technologies and energy control management methods is highly required. This framework should be formed by simplified but accurate models of building physics and building energy technologies, and should allow for the selection of proper control strategies according to the control objectives and scenarios. Therefore, this paper reviews the fundamental mathematical modeling and control strategies to create such a framework. The mathematical models of (i) building physics and (ii) popular building energy technologies (renewable energy systems, common heating and cooling energy systems and energy distribution systems) are first presented. Then, it is shown how the collected mathematical models can be linked. Merging with two frequently used EMS strategies, namely rule-based and model predictive controls, is discussed. This work provides an extendable map to model and control buildings and intends to be a foundation for building researchers, designers and engineers.

show abstract

Section: Discussionmentioning

confidence: 99%

A Review of Mathematical Models of Building Physics and Energy Technologies for Environmentally Friendly Integrated Energy Management Systems

2022

View full text Add to dashboard Cite

show abstract

“…The traditional reactive control strategies do not take into account the forecast of the state and environmental exogenous variables [42]. On the other hand, these approaches based either on on/off relay methods or on proportional, integral and derivative (P, PI or PID) controllers have a widespread use due to their simple architecture and easy implementation [43].…”

Section: Overview In Mpc Methods For Greenhouse Efficiencymentioning

confidence: 99%

Model Predictive Control versus Traditional Relay Control in a High Energy Efficiency Greenhouse

et al. 2021

View full text Add to dashboard Cite

The sustainable agriculture cultivation in greenhouses is constantly evolving thanks to new technologies and methodologies able to improve the crop yield and to solve the common concerns which occur in protected environments. In this paper, an MPC-based control system has been realized in order to control the indoor air temperature in a high efficiency greenhouse. The main objective is to determine the optimal control signals related to the water mass flow rate supplied by a heat pump. The MPC model allows a predefined temperature profile to be tracked with an energy saving approach. The MPC has been implemented as a multiobjective optimization model that takes into account the dynamic behavior of the greenhouse in terms of energy and mass balances. The energy supply is provided by a ground coupled heat pump (GCHP) and by the solar radiation while the energy losses related to heat transfers across the glazed envelope. The proposed MPC method was applied in a smart innovative greenhouse located in Italy, and its performances were compared with a traditional reactive control method in terms of deviation of the indoor temperature in respect to the desired one and in terms of electric power consumption. The results demonstrated that, for a time horizon of 20 h, in a greenhouse with dimensions 15.3 and 9.9 m and an average height of 4.5 m, the proposed MPC approach saved about 30% in electric power compared with a relay control, guaranteeing a consistent and reliable temperature profile in respect to the predefined tracked one.

show abstract

“…Wang et al [38] investigated MPC in different climate zones, and 20–40 % of the energy could be saved while maintaining good indoor air quality. In sum, several studies [39] , [40] , [41] , [42] have shown that MPC has significant energy-saving potential and a better indoor environment while handling constraints and uncertainties. Moreover, they mentioned that the occupancy-based MPC could lead to better HVAC operation.…”

Section: Introductionmentioning

confidence: 97%

PANDEMIC: Occupancy driven predictive ventilation control to minimize energy consumption and infection risk

et al. 2023

View full text Add to dashboard Cite

State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field

Cited by 186 publications

References 143 publications

A Review of Mathematical Models of Building Physics and Energy Technologies for Environmentally Friendly Integrated Energy Management Systems

A Review of Mathematical Models of Building Physics and Energy Technologies for Environmentally Friendly Integrated Energy Management Systems

Model Predictive Control versus Traditional Relay Control in a High Energy Efficiency Greenhouse

PANDEMIC: Occupancy driven predictive ventilation control to minimize energy consumption and infection risk

Contact Info

Product

Resources

About