scholarly journals Efficiency Measurement of Compressed Air Compressors Using High Availability SoC with 1oo2 Redundancy Architecture

2021 ◽  
Author(s):  
Mohamed Abdelawwad ◽  
Eike Hahn ◽  
Josef Boercsoek ◽  
Julian Fairbrother ◽  
Tarek Al Shahadat ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Environmental Conditions ◽  
Industry 4.0 ◽  
High Availability ◽  
Efficiency Measurement ◽  
Compressed Air ◽  
Industrial Plants ◽  
Essential Components ◽  
Air Compressors ◽  
Increase Efficiency

Compressed air systems are essential components in various industrial and everyday applications. The efficiency of these systems is very important due to their role in the energy consumption of industrial plants. To increase efficiency, a new concept for compressed air compressors based on Industry 4.0 is presented. Due to the aggressive environmental conditions in which the compressed air compressors operate, a new design of a SoC with high availability based on 1oo2 redundancy architecture is developed.

Time-Discrete Modelling of Industrial Compressed Air Systems Based on Equivalent Circuits

2017 ◽  
Vol 871 ◽  
pp. 20-26
Author(s):  
Ralf Böhm ◽  
Florens Wurmer ◽  
Theresa Schreiner ◽  
Yue Zhang ◽  
Jörg Franke
Keyword(s):  
Volumetric Flow Rate ◽  
Compressed Air ◽  
State Variables ◽  
Industrial Plants ◽  
Electric Circuits ◽  
Abstract Approach ◽  
The Individual ◽  
General Abstract ◽  
Air Compressors ◽  
Functional Components

Compressed air systems (CAS) on industrial plants consist of air compressors, compressed air reservoirs, compressed air lines and auxillaries as dehumidifiers, dust collectors, pneumatic oilers and pressure controllers. It is assumed that given suitable dimensioning, those industrial compressed-air systems can be used for demand side management purpose. In industrial CAS energy is transmitted by means of pressure difference and volumetric flow rate of the transmission medium compressed air. Alike electric circuits, they consist of various functional components which are flowed through by the compressed air. Furthermore the application of Kirchhoffs laws is possible to those systems. Hence, approximation of the behavior of industrial CAS is possible by arranging and connecting those components in an equivalent circuit diagram. As additional state variables of compressed air as humidity, temperature as well as contents of water, oil and dust are also to be considered, modeling of the individual components is more extensive. A general, abstract approach for the description of the individual components in the form of blackbox representations is outlined.

scholarly journals Deriving essential components of lean and industry 4.0 assessment model for manufacturing SMEs

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 753-758 ◽  
Author(s):  
Sri Kolla ◽  
Meysam Minufekr ◽  
Peter Plapper
Keyword(s):  
Industry 4.0 ◽  
Assessment Model ◽  
Essential Components

Smart Factory Meets Smart Grid: Cyber-Physical Compressed Air Systems Enable Demand Side Management in Industrial Environments

2015 ◽  
Vol 805 ◽  
pp. 25-31 ◽  
Author(s):  
Ralf Boehm ◽  
Johannes Bürner ◽  
Jörg Franke
Keyword(s):  
Business Models ◽  
Service Providers ◽  
Supply And Demand ◽  
Electric Energy ◽  
Demand Side Management ◽  
Compressed Air ◽  
Demand Side ◽  
Industrial Enterprises ◽  
Industrial Environments ◽  
Air Compressors

In electric energy systems based on renewable generation plants supply and demand often do not occur in the same period of time. Consequently demand side management is gaining importance whereby decentralized automation offers opportunities in industrial environments. Compressed air systems on industrial plants consist of air compressors, compressed air reservoirs and compressed air lines. With suitable dimensioning those industrial compressed-air systems can be used for demand side management purpose. As power consumption of industrial air compressors ranges between a few and several hundred kilowatts each, swarms of communicatively connected air compressors can contribute to the stabilization of power grids. To avoid costly production downtime it is to ensure, that a reliable, non-disruptive supply of compressed air can be maintained at all time. Industrial compressed air systems equipped with automation technology and artificial intelligence, which hereinafter are referred to as Cyber-Physical Compressed Air Systems (CPCAS), allow new business models for utilities, industrial enterprises, compressor manufacturers and service providers. In addition to basic operating parameters like current air pressure and status, those systems can process further information and create, for example, profiles on compressed air consumption over time. By enriching those profiles with data on pressure, volumes, system restrictions and current production requirements (plans), the CPCAS can identify the available potential for demand side management. Ipso facto predictive power on electricity consumption is increasing. By providing the information obtained to the power company or a service provider, savings in electricity costs may be achieved. Expenses within the industrial company may be lowered further as compliance with agreed load limits is being improved by automatic shutdown of air compressors upon reaching the load limit. Within this article the structure of the aforementioned Cyber-Physical Compressed Air Systems is presented in more detail, relations between the major actors are being shown and possible business models are being introduced.

Influence of Volumetric Capacity on Energy Consumption in Oil-Lubricated Compressed Air Systems

2016 ◽  
Vol 8 (4) ◽  
Author(s):  
Pawel Olszewski ◽  
Claus Borgnakke
Keyword(s):  
Mathematical Model ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Potential Energy ◽  
Uncertainty Analysis ◽  
Control Strategy ◽  
Energy Savings ◽  
Compressed Air ◽  
Numerical Code ◽  
Volumetric Capacity

The aim of this research is to estimate the influence of compressed air volumetric capacity on the energy consumption in systems equipped with oil-lubricated screw compressors. A mathematical model of oil-lubricated screw compressors has been proposed. The model is verified by comparing with real measurements, and overall uncertainty analysis is estimated. An in-house developed numerical code (c++) is used to calculate the energy consumption in 252,000 combinations. The final result can be used to estimate the energy efficiency of existing air systems and to assess potential energy savings due to changes in the operation of the system and its control strategy.

scholarly journals Energy Efficiency of Pneumatic Cylinder Control with Different Levels of Compressed Air Pressure and Clamping Cartridge

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3711
Author(s):  
Vladislav Blagojevic ◽  
Dragan Seslija ◽  
Slobodan Dudic ◽  
Sasa Randjelovic
Keyword(s):  
Energy Consumption ◽  
Air Pressure ◽  
Compressed Air ◽  
Pneumatic Cylinder ◽  
Final Position ◽  
Return Stroke ◽  
Cylinder Piston ◽  
Reduce Energy Consumption ◽  
The Cost ◽  
Different Levels

Since pneumatic systems are widely used in various branches of industry, the need to find ways to reduce energy consumption in these systems has become very pressing. The reduction in energy consumption in these systems is reflected in the reduction of compressed air consumption. The paper presents a cylinder control system with a piston rod on one side, in which the reduction in energy consumption is ensured by using different levels of supply pressure in the working and the return stroke, and by holding the cylinder piston rod in its final positions with a clamping cartridge. Clamping and holding the piston rod in its final position further affects the reduction in energy consumption. Experimental data show that the application of the proposed control leads to a decrease in compressed air consumption of 25.54% to 32.97%, depending on the compressed air pressure used in the return stroke. The cost-effectiveness of the proposed cylinder control with different levels of compressed air pressure and holding the final position by clamping cartridge is presented.

scholarly journals An Entropy-Based Formulation for the Support of Sustainable Mass Customization 4.0

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
César Martínez-Olvera
Keyword(s):  
Energy Consumption ◽  
Mass Customization ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Discrete Event ◽  
Energy Productivity ◽  
Event Simulation ◽  
Managerial Implications ◽  
Optimal Resource ◽  
Information And Communication

Industry 4.0, an information and communication umbrella of terms that includes the Internet of Things (IoT) and cyber-physical systems, aims to ensure the future of the manufacturing industry competing in a proper environment of mass customization: demand for short delivery time, high quality, and small-lot products. Within this context of an Industry 4.0 mass customization environment, success depends on its sustainability, where the latter can only be achieved by the manufacturing efficiency of the smart factory-based Industry 4.0 transforming processes. Even though Industry 4.0 is associated with an optimal resource and energy productivity/efficiency, it becomes necessary to answer if the integration of Industry 4.0 elements (like CPS) has a favorable sustainability payoff. This requires performing energy consumption what-if analyses. The original contribution of this paper is the use of the entropy-based formulation as an alternative way of performing the initial steps of the energy consumption what-if analyses. The usefulness of the proposed approach is demonstrated by comparing the results of a discrete-event simulation model of mass customization 4.0 environment and the values obtained by using the entropy-based formulation. The obtained results suggest that the entropy-based formulation acts as a fairly good trend indicator of the system’s performance parameters increase/decrease. The managerial implications of these findings are presented at the end of this document.

scholarly journals Energy Efficiency in Industry 4.0: The Case of Batch Production Processes

2020 ◽  
Vol 12 (16) ◽  
pp. 6631 ◽  
Author(s):  
Giancarlo Nota ◽  
Francesco David Nota ◽  
Domenico Peluso ◽  
Alonso Toro Lazo
Keyword(s):  
Energy Consumption ◽  
Industry 4.0 ◽  
Production Systems ◽  
Decision Makers ◽  
Batch Processes ◽  
Energy Losses ◽  
Manufacturing Processes ◽  
Batch Production ◽  
Production Processes ◽  
Cyber Physical Production Systems

We derived a promising approach to reducing the energy consumption necessary in manufacturing processes from the combination of management methodologies and Industry 4.0 technologies. Based on a literature review and experts’ opinions, this work contributes to the efficient use of energy in batch production processes combining the analysis of the overall equipment effectiveness with the study of variables managed by cyber-physical production systems. Starting from the analysis of loss cause identification, we propose a method that obtains quantitative data about energy losses during the execution of batch processes. The contributions of this research include the acquisition of precise information about energy losses and the improvement of value co-creation practices so that energy consumption can be reduced in manufacturing processes. Decision-makers can use the findings to start a virtuous process aiming at carbon footprint and energy costs reductions while ensuring production goals are met.

Sign in / Sign up

Export Citation Format

Share Document