Real-time performance assessment and adaptive control for a water chiller unit in an HVAC system

Bai, Jianbo; Li, Yang; Chen, Jianhao

doi:10.1088/1755-1315/121/5/052005

Cited by 5 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research describes industrial applications of the CPA method as well. The first reported implementation in pulp and paper industry 40 is followed by chemical engineering 2 , other process industries 41 , mechanical engineering 42 , Heating Ventilation and Air Conditioning (HVAC) 43 and others. Industry introduces complexities, non‐linearities, non‐stationarity and limited information.…”

Section: Cpa Approachesmentioning

confidence: 99%

Study on outlier robustness of minimum variance control performance assessment

Kaczmarek

Domański

2021

Adaptive Control & Signal

View full text Add to dashboard Cite

Summary Minimum variance (MinVar) method for control performance assessment constitutes one of the most common approaches to the control quality estimation. There are dozens of versions, enriched with numerous reported industrial implementations. MinVar methodology uses the idea of minimum variance, which has been introduced by Kalman. Therefore, it should be remembered that MinVar concept relies on the same assumptions as an idea of the minimum variance control. Among other assumptions, it is essential that the modeled disturbance is an independent random sequence. This article addresses scenarios, when loop noise exhibits non‐Gaussian properties and is characterized by outliers having fat‐tailed distribution. Sensitivity analysis of minimum variance method against such disturbances is evaluated using commonly used PID SISO control benchmarks. It is shown that MinVar method may be significantly biased in such non‐Gaussian situations, which are very frequent in the industrial reality. Reasons of the biased performance are traced and respective solutions are proposed.

show abstract

Section: Cpa Approachesmentioning

confidence: 99%

Study on outlier robustness of minimum variance control performance assessment

Kaczmarek

Domański

2021

Adaptive Control & Signal

View full text Add to dashboard Cite

show abstract

“…An interesting application for the pH control in pharmaceutical industry can be found in [31]. Other industries such as power industry [32], mechanical engineering [33], heating, ventilation and air conditioning (HVAC) [34] can be also found.…”

Section: Control System Assessmentmentioning

confidence: 99%

Multicriteria Ammonia Plant Assessment for the Advanced Process Control Implementation

et al. 2020

View full text Add to dashboard Cite

Rehabilitation of control systems or implementation of Advanced Process Control (APC) in any large scale industrial installation poses several challenges. First of all, the implementation process has to meet stringent safety regulations. Moreover, it has to minimize normal production violation. All human, technology and control system risks need to be identified and a mitigation plan has to be prepared. Once the implementation limitations are fulfilled the installation requires to be prepared. The plant needs to be comprehensively assessed. All APC project related aspects, like control system or process instrumentation must be reviewed. Furthermore existing installation performance has to be measured for further justification of project results. The paper presents authorial assessment methodology aiming at the installation preparation before APC implementation. It is obvious that any supervisory control helps only when the underlying process, infrastructure and regulatory base control operates properly. Any performance malfunctioning within plant equipment or base control logic misfit limits, even the most sophisticated APC. The paper presents developed and practically adopted comprehensive multicriteria assessment procedure, which prepares the large scale chemical installation for APC supervisory control upgrade. Proposed procedure is accompanied with identified implementation risks and their mitigation plan.INDEX TERMS APC, ammonia plant, control system quality, equipment assessment, multicriteria analysis.

show abstract

“…The above four methods are all with certain load adaptability, but only focus on the energy saving of the water pump or cooling tower, without considering the overall energy consumption of the refrigeration system. Literature [8,9] controls the number and frequency of chillers, water pumps, and cooling towers according to the changes in air conditioning load, and achieves energy saving among the group, whereas the energy consumption relationship of each part is not analyzed, and the control effect is poor. The literature [10] optimized the air-conditioning system by adopting the beetle-particle swarm optimization hybrid algorithm, but does not conduct a complete verification of simulation model of the system components.…”

Section: Introductionmentioning

confidence: 99%

Energy-saving optimization of refrigeration system in a data centre based on Nelder-Mead method

Mei

Liu

et al. 2022

ITM Web Conf.

View full text Add to dashboard Cite

In order to improve the cooling efficiency of the data centre HVAC (Heating Ventilation and Air Conditioning) system and save costs, this paper proposes a control strategy that combines traditional control method with Nelder and Mead method, in order to optimize equipment operating parameters. Firstly, this paper selected a data centre in Northeast China as the research object. Moreover, the central air-conditioning system, as the control object, was simulated on TRNSYS, whose result was compared with the actual operating parameters to verify the reliability of the simulation model. Finally, the optimal control strategy was applied to the simulation model to analyze the changes of energy consumption of the system before and after optimization. The results showed that in August, the optimal control strategy is able to meet the extremity of cooling load demand, and the total energy consumption of the system is 269,612kwh, which is 10% less than the energy consumption before optimization. The overall energy consumption of the system is significantly reduced, and the proportion of energy consumption of each part tends to be reasonable, which will effectively improve the cooling efficiency of HVAC.

show abstract

Real-time performance assessment and adaptive control for a water chiller unit in an HVAC system

Cited by 5 publications

References 11 publications

Study on outlier robustness of minimum variance control performance assessment

Study on outlier robustness of minimum variance control performance assessment

Multicriteria Ammonia Plant Assessment for the Advanced Process Control Implementation

Energy-saving optimization of refrigeration system in a data centre based on Nelder-Mead method

Contact Info

Product

Resources

About