Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system

Yang, Shiyu; Wan, Man Pun; Ng, Bing Feng; Dubey, Swapnil; Henze, Gregor P.; Chen, Wanyu; Baskaran, K.

doi:10.1016/j.apenergy.2019.113920

Cited by 51 publications

(19 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Model predictive control methods have been employed by various industries over the past few decades [48][49][50][51][52]. MPC relies on the dynamic model of the process.…”

Section: Model Predictive Control (Mpc)-linear and Nonlinearmentioning

confidence: 99%

Evaluation of a Combined MHE-NMPC Approach to Handle Plant-Model Mismatch in a Rotary Tablet Press

et al. 2021

View full text Add to dashboard Cite

The transition from batch to continuous processes in the pharmaceutical industry has been driven by the potential improvement in process controllability, product quality homogeneity, and reduction of material inventory. A quality-by-control (QbC) approach has been implemented in a variety of pharmaceutical product manufacturing modalities to increase product quality through a three-level hierarchical control structure. In the implementation of the QbC approach it is common practice to simplify control algorithms by utilizing linearized models with constant model parameters. Nonlinear model predictive control (NMPC) can effectively deliver control functionality for highly sensitive variations and nonlinear multiple-input-multiple-output (MIMO) systems, which is essential for the highly regulated pharmaceutical manufacturing industry. This work focuses on developing and implementing NMPC in continuous manufacturing of solid dosage forms. To mitigate control degradation caused by plant-model mismatch, careful monitoring and continuous improvement strategies are studied. When moving horizon estimation (MHE) is integrated with NMPC, historical data in the past time window together with real-time data from the sensor network enable state estimation and accurate tracking of the highly sensitive model parameters. The adaptive model used in the NMPC strategy can compensate for process uncertainties, further reducing plant-model mismatch effects. The nonlinear mechanistic model used in both MHE and NMPC can predict the essential but complex powder properties and provide physical interpretation of abnormal events. The adaptive NMPC implementation and its real-time control performance analysis and practical applicability are demonstrated through a series of illustrative examples that highlight the effectiveness of the proposed approach for different scenarios of plant-model mismatch, while also incorporating glidant effects.

show abstract

“…Model predictive control methods have been employed by various industries over the past few decades [48][49][50][51][52]. MPC relies on the dynamic model of the process.…”

Section: Model Predictive Control (Mpc)-linear and Nonlinearmentioning

confidence: 99%

Evaluation of a Combined MHE-NMPC Approach to Handle Plant-Model Mismatch in a Rotary Tablet Press

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The purpose of the control is to optimize the scheduling of the available thermal energy resources to adhere to comfort objectives. Whereas, Yang et al [41] conduct a practical evaluation of MPC for HVACs that consist of dedicated outdoor air systems. This MPC is based on the linear state-space model to capture building thermal dynamics, thermal comfort, and building response predictions, as well as optimization.…”

Section: State Of the Art Analysismentioning

confidence: 99%

“…Existing literature report intelligent control methods, which include model predictive control (MPC), gain scheduling, optimal control, robust control, nonlinear adaptive control, fuzzy logic, genetic algorithm, etc., [32,34,35,38,[40][41][42][43][44][45][46][47][48][51][52][53][56][57][58][59][67][68][69][70][71][72][73][74][75][76][77][78][79][80][81][82][83][84]. As compared with PIDs as proposed in this study via mixing loops, they are robust and energy efficient.…”

Section: Design Of the Main Controllermentioning

confidence: 99%

An Efficient HVAC Network Control for Safety Enhancement of a Typical Uninterrupted Power Supply Battery Storage Room

et al. 2021

View full text Add to dashboard Cite

Lead-acid batteries utilised in electrical substations release hydrogen and oxygen when these are charged. These gases could be dangerous and cause a risk of fire if they are not properly ventilated. Therefore, this research seeks to design and implement a network control panel for heating, ventilation, and air conditioning system (HVACS). This is achieved by using a specific range of controllers, which have more than thirty loops of proportional, integral, and derivative (PID) control to achieve a cost-effective design. It performs the required function of extracting hydrogen and oxygen, maintaining the desired temperature of the battery storage room within recommended limits (i.e., 25 ± 1 °C tolerance) without compromising quality, as set out in the user requirement specification. The system control panel allows the user to access control parameters such as changing temperature set-points, fan-speed, sensor database, etc. It does this automatically and allows no human interface after all necessary settings and installation are completed. The hardware is configured to detect extreme hydrogen and oxygen gas content in the battery room and to ensure that the HVACS extracts the gas content to the outside environment. The system’s results show that the network control panel operates effectively as per the recommended system requirements. Therefore, the effective operation of the HVACS ensures sufficient gas ventilation, thus mitigating the risk of fire in a typical battery storage room. Furthermore, this also enhances battery lifespan because of regulated operating temperature, which is conducive to minimise the effect of sulfation in lead–acid batteries (LAB). The extraction of toxic gases, regulation of temperature, ensuring suitable humidity in UPS battery room is important as it provides longer operational service of equipment, thus reducing frequent maintenance in these rooms. This benefits the electricity supply industry and helps in saving for unplanned maintenance costs.

show abstract

“…Tang et al [27] developed an optimal control strategy which determined the number and schedule of operating chillers for precooling and particularly achieved an optimal cooling distribution among individual spaces. Yang et al [28] presented a novel model predictive control developed for a dedicated outdoor air system-assisted separate sensible and latent cooling system. The model captured building thermodynamics, thermal comfort and air-conditioning and mechanical ventilation for building response prediction and energy use and thermal comfort optimization.…”

Section: Introductionmentioning

confidence: 99%

The Power Simulation of Water-Cooled Central Air-Conditioning System Based on Demand Response

Kang

Wang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

With rapid development of smart grid, terminal power load is paid more and more attention, especially that of air conditioning system, which constitute an integral part of summer peak electricity load. In this paper, through controlling indoor air temperature deduced by equivalent thermal parameters-model, daily energy consumption and energy consumption during peak hours can be adjusted and reduced to realize demand side management. To reduce peak load of grid and ensure stable and reliable operation of grid, four temperature control strategies, including constant setting temperature control strategy, pre-cooling control strategy, curtailment control strategy and improved curtailment control strategy were proposed. Meanwhile, three operation schemes of the chiller were also employed. Furthermore, considering the power consumption and curtailment, five indicators including hourly average load, hourly average load ratio, energy saving ratio, load-shedding ratio during peak hours and coefficient of performance (COP) have been proposed to evaluate the performance. Results showed that the operation scheme of operating numbers control obtained better effect. Energy saving ratio was highest of 32.5% with curtailment control strategy, while load-shedding ratio during peak hours was optimal with improved curtailment control strategy. However, COP was maximum at 3.66 when pre-cooling control strategy was employed. This study can guide the operation of water-cooled air conditioning system through energy saving ratio and COP, also it has more benefits on economy of power system by hourly average load and load-shedding ratio. INDEX TERMS Load management, temperature control, power demand, operations research.

show abstract

Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system

Cited by 51 publications

References 31 publications

Evaluation of a Combined MHE-NMPC Approach to Handle Plant-Model Mismatch in a Rotary Tablet Press

Evaluation of a Combined MHE-NMPC Approach to Handle Plant-Model Mismatch in a Rotary Tablet Press

An Efficient HVAC Network Control for Safety Enhancement of a Typical Uninterrupted Power Supply Battery Storage Room

The Power Simulation of Water-Cooled Central Air-Conditioning System Based on Demand Response

Contact Info

Product

Resources

About