scholarly journals A Novel Use Of Hysys To Design An Industrial Refrigeration System

2020 ◽  
Author(s):  
K. Hing Pang
Keyword(s):  
Refrigeration System ◽  
Industrial Refrigeration

scholarly journals Improving the Energy Efficiency of Industrial Refrigeration Systems by Means of Data-Driven Load Management

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1106
Author(s):  
Josep Cirera ◽  
Jesus A. Carino ◽  
Daniel Zurita ◽  
Juan A. Ortega
Keyword(s):  
Food Industry ◽  
Operation Time ◽  
Data Driven ◽  
Load Management ◽  
Common Denominator ◽  
Refrigeration System ◽  
The Individual ◽  
Industrial Refrigeration ◽  
Electrical Consumption ◽  
New Industry

A common denominator in the vast majority of processes in the food industry is refrigeration. Such systems guarantee the quality and the requisites of the final product at the expense of high amounts of energy. In this regard, the new Industry 4.0 framework provides the required data to develop new data-based methodologies to reduce such energy expenditure concern. Focusing in this issue, this paper proposes a data-driven methodology which improves the efficiency of the refrigeration systems acting on the load side. The solution approaches the problem with a novel load management methodology that considers the estimation of the individual load consumption and the necessary robustness to be applicable in highly variable industrial environments. Thus, the refrigeration system efficiency can be enhanced while maintaining the product in the desired conditions. The experimental results of the methodology demonstrate the ability to reduce the electrical consumption of the compressors by 17% as well as a 77% reduction in the operation time of two compressors working in parallel, a fact that enlarges the machines life. Furthermore, these promising savings are obtained without compromising the temperature requirements of each load.

Industrial Application of a Direct Refrigeration System for Energy Conservation

1982 ◽  
Vol 104 (2) ◽  
pp. 170-173
Author(s):  
D. P. Shea ◽  
J. E. Shelton ◽  
T. L. White
Keyword(s):  
Energy Savings ◽  
Production Capacity ◽  
Operating Experience ◽  
Electrical Energy ◽  
Refrigeration System ◽  
Start Up ◽  
Process Plant ◽  
Liquid Heat ◽  
Intermediate Cooling ◽  
Industrial Refrigeration

A large direct industrial refrigeration system was installed to reduce energy consumption in a chemical process plant. Electrical energy was saved by eliminating an intermediate cooling circuit including chilled liquid heat exchangers and glycol circulating pumps. A benefit of the system was increased production capacity by improving evaporator heat transfer, which reduced batch cycle time. This paper discusses system design, start-up and operating experience, and energy savings.

scholarly journals POWER EFFICIENCY OPPORTUNITIES FOR INDUSTRIAL REFRIGERATION SYSTEM OF FOOD PROCESSING ENTERPRISE

2017 ◽  
Vol 52 (6) ◽  
Author(s):  
O. Ostapenko ◽  
O. Zimin ◽  
I. Podmazko ◽  
M. Khmelniuk
Keyword(s):  
Power Consumption ◽  
Power Efficiency ◽  
Business Owners ◽  
Refrigeration System ◽  
Operation Process ◽  
Refrigeration Unit ◽  
Industrial Refrigeration ◽  
Night Period ◽  
Dry Cooling Tower ◽  
Processing Enterprise

Rising prices on power supply are forcing business owners to search the ways of operating costs reducing. Refrigeration system in the food industry is a major source of power consumption. The utilization of cold accumulation systems allows reducing of refrigeration unit power consumption. In this paper the refrigeration system with a system of cold accumulation and dry cooling tower is considered. The possibility of power consumption reducing due to the organization of the enterprise refrigeration system operation process in the night period according to electricity multiple tariffs has been analyzed.

scholarly journals A Data-Driven-Based Industrial Refrigeration Optimization Method Considering Demand Forecasting

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 617 ◽  
Author(s):  
Josep Cirera ◽  
Jesus A. Carino ◽  
Daniel Zurita ◽  
Juan A. Ortega
Keyword(s):  
Demand Forecasting ◽  
Optimization Method ◽  
Remaining Useful Life ◽  
Operating Conditions ◽  
Data Driven ◽  
Refrigeration System ◽  
Operation Condition ◽  
Self Organizing Maps ◽  
Using Data ◽  
Industrial Refrigeration

One of the main concerns of industry is energy efficiency, in which the paradigm of Industry 4.0 opens new possibilities by facing optimization approaches using data-driven methodologies. In this regard, increasing the efficiency of industrial refrigeration systems is an important challenge, since this type of process consume a huge amount of electricity that can be reduced with an optimal compressor configuration. In this paper, a novel data-driven methodology is presented, which employs self-organizing maps (SOM) and multi-layer perceptron (MLP) to deal with the (PLR) issue of refrigeration systems. The proposed methodology takes into account the variables that influence the system performance to develop a discrete model of the operating conditions. The aforementioned model is used to find the best PLR of the compressors for each operating condition of the system. Furthermore, to overcome the limitations of the historical performance, various scenarios are artificially created to find near-optimal PLR setpoints in each operation condition. Finally, the proposed method employs a forecasting strategy to manage the compressor switching situations. Thus, undesirable starts and stops of the machine are avoided, preserving its remaining useful life and being more efficient. An experimental validation in a real industrial system is performed in order to validate the suitability and the performance of the methodology. The proposed methodology improves refrigeration system efficiency up to 8%, depending on the operating conditions. The results obtained validates the feasibility of applying data-driven techniques for the optimal control of refrigeration system compressors to increase its efficiency.

A Fuzzy Control Approach for an Industrial Refrigeration System

2020 ◽  
pp. 1255-1260 ◽  
Author(s):  
Robert Menzhausen ◽  
Manuel Merino ◽  
Bogdan Dorneanu ◽  
José José Manrique Silupú ◽  
William Ipanaqué Alama ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Refrigeration System ◽  
Control Approach ◽  
Industrial Refrigeration

Thermodynamic, Economic, and Environmental Comparison Between the Direct and Indirect CO2 Refrigeration Cycle With Conventional Indirect NH3 Cycle With Considering a Heat Recovery System in an Ice Rink: A Case Study

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Hossien Momeni ◽  
Mohammad Mehdi Keshtkar
Keyword(s):  
Heat Recovery ◽  
Second Law Of Thermodynamics ◽  
Recovery Process ◽  
Coefficient Of Performance ◽  
Refrigeration System ◽  
Recovery System ◽  
Heat Recovery System ◽  
Industrial Refrigeration ◽  
Selection Of

In industrial refrigeration systems, such as ice rinks, because of consumption of a lot of energy, the selection of a refrigeration system is very important. At this work, environmental considerations are combined with thermodynamics and economics for the comparison of three different refrigeration systems in an ice rink, including the NH3/brine, CO2/brine, and full CO2. The first law of thermodynamics is used to calculate the system's coefficient of performance (COP) and the second law of thermodynamics is applied to quantify the exergy destructions in each component of a refrigeration system. With regard to the above, the exergy efficiency and energy consumption of the systems are determined by taking into account the heat recovery process that has been performed in the above-mentioned cycles. The results indicate that if a heat recovery system has been used in the refrigeration system, coefficient of performance of full CO2 refrigeration system is 33% higher than the CO2/brine and 66% greater than the NH3/brine system. The results also show that, whatever the refrigeration evaporating temperature in the NH3/brine system reaches lower than −12.4 °C, the total cost of this system will be greater than the full CO2 system.

Dynamic Analysis of an Industrial Refrigeration System to Investigate Capacity Control

1975 ◽  
Vol 189 (1) ◽  
pp. 437-444 ◽  
Author(s):  
S. A. Marshall ◽  
R. W. James
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Flow Rate ◽  
Stirred Tank ◽  
Refrigeration System ◽  
Capacity Control ◽  
Quick Freezing ◽  
Industrial Refrigeration ◽  
Energy Balances ◽  
Mass And Energy Balances

The paper is concerned with the development of a mathematical model which describes the behaviour of a quick freezing plant and its refrigeration system and its use in designing a capacity control system. The model is represented by sets of non-linear algebraic and differential equations which were derived using a ‘stirred tank’ approach on each section of the plant, in conjunction with conservation laws concerned with mass and energy balances, and with momentum equations relating force and flow rate. The capacity control system developed was based upon the measurement of initial and final product temperatures and product mass flow rate. This system showed an improvement in the operation of the plant over the existing control system. Problems of implementation are also discussed.

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