Article | 13th Scandinavian International Conference on Fluid Power; June 3-5; 2013; Linköping; Sweden | Statistical Approach To Energy Efficiency Issue In Industrial Pneumatic Systems
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Title:
Statistical Approach To Energy Efficiency Issue In Industrial Pneumatic Systems
Author:
Jyrki Parkkinen: Aalto University, School of Electrical Engineering, Department of Automation and Systems Technology, Helsinki,Finland Kai Zenger: Aalto University, School of Electrical Engineering, Department of Automation and Systems Technology, Helsinki,Finland Joonas Ollila: Aalto University, School of Electrical Engineering, Department of Automation and Systems Technology, Helsinki,Finland
DOI:
10.3384/ecp1392a46
Download:
Full text (pdf)
Year:
2013
Conference:
13th Scandinavian International Conference on Fluid Power; June 3-5; 2013; Linköping; Sweden
Issue:
092
Article no.:
046
Pages:
465-474
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2013-09-09
ISBN:
978-91-7519-572-8
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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In this paper; some statistical methods to the energy efficiency issue in industrial pneumatic systems are presented. Since all compressed air (CA) systems are different; in industrial applications it may be difficult to analyse energy efficiency of a single CA system from a theoretical model-based viewpoint. Instead of modeling the industrial pneumatic system from first principles the energy efficiency of the system is analyzed based on time series measurements. The dependency between energy consumption; potential variable pressure and flow variable mass flow makes possible to draw conclusions of the energy efficiency based on the measurements of pressure and power/energy.

In woodworking industry; e.g. sawmills; the functioning of the assembly line is relatively monotonic from day to day. Typically; CA is almost entirely used for linear motions. A double acting cylinder is the most common actuator in these applications. The length of the impact; the radius of the piston and radius of the cylinder are the essential key figures of this cylinder type. From these figures and basic dynamics of the cylinder; the air volume per impact can be obtained. When the average values and standard deviation of the air flow in each consumption point (cylinder) is known; statistical methods can be implemented for the total consumption of CA. According to the Central Limit Theorem; the total air consumption; i.e the sum of consumptions in different consumption points; can be assumed to be normal-distributed. Since the consumed air flow is proportional to the compressor’s energy consumption; the trend of energy can also be approximated as a sum of regression curve and normally distributed deviation component. By this result; a confidence interval for energy consumption can be determined. The result is also ready to be used in energy saving calculations in the future.

Also; the adjustable pressure-difference in a two-point controlled compressor has an essential effect on the overall energy efficiency of the system. When this pressure difference is large; the system is not optimal from the viewpoint of energy efficiency. Typically the time series measurements of pressure are somewhat noisy; but some kind of conclusions of stationary behavior can be done. After possible pre-filtering process of the data; it becomes evident that the measurement data signal is typically a periodic shape with strict minimum and maximum values. The consumption of CA is typically dependent on pressure i.e. higher pressure increases consumption making the shape of pressure curve exponential. A stationary time series described by its mean; variance and autocorrelation function makes possible to identify the essential features of the dynamics of the CA system and the type of consumption.

With the appropriate statistical methods; the results of short-time measurements can be applied for predicting the energy consumption trend in a long run. The combination of first principle modeling with measurements opens new methods in energy efficiency techniques especially when designing new pneumatic systems or the improving of existing designs

Keywords: Pneumatics in woodworking industry; time series analysis; estimate; confidence interval; autocorrelation

13th Scandinavian International Conference on Fluid Power; June 3-5; 2013; Linköping; Sweden

Author:
Jyrki Parkkinen, Kai Zenger, Joonas Ollila
Title:
Statistical Approach To Energy Efficiency Issue In Industrial Pneumatic Systems
DOI:
http://dx.doi.org/10.3384/ecp1392a46
References:

[1] P Radgen; E Blaustein. (Eds) Compressed Air Systems in the European Union: Energy; Emission; Savings Potential and Policy Actions 2001

[2] The Energy Research Institute; Department of Mechanical Engineering ; University of Cape Town How to save energy and money: Guide Book 3: Compressed Air Systems 2007

[3] Paul H Harris; Garret O’Donnell; Tim Whelan Energy Efficiency in Pneumatic Production Systems: State of the Art and Future Directions Leveraging Technology in a Sustainable World Proceedings of the 19th CIRP Conference on Life Cycle Engineering; University of California at Berkeley; Berkeley; USA 2012

[4] Paul H Harris; Garret O’Donnell; Tim Whelan. Predictive Consumption Models for Electro-Pneumatic Production Systems. IEEE Transactions on Mechatronics 2011

[5] Susanne V Krichel; O Savodny. Analysis and optimization of compressed air networks with model-based approaches; Ventil 17/2011

[6] Susanne V Krichel; O Savodny. Dynamic modeling of pneumatic transmission lines in MATLAB/SIMULINK Proceedings of the International Fluid Power and Mechatronics Conference; Beijing/China 2011

[7] J Parkkinen. Energy Efficiency in Industrial Pneumatic Systems Helsinki University of Technology Control Engineering Laboratory Espoo 2007 (lic.thesis)

[8] J Parkkinen; K Zenger. A new Efficiency Index for Analysing and Minimising Energy Consumption in Pneumatic Systems Int. Journal of Fluid Power2008

[9] G.E.P Box; G.M. Jenkins ; G.C. Reinsel : Time Series Analysis: Forecasting and Control John Wiley & Sons;Inc 2008

[10] J Parkkinen. Improving Energy Efficiency in Industrial Pneumatic Systems by Structural Means The Twelfth Scandinavian International Conference on Fluid Power 2011; Tampere; Finland

[11] V.Hölttä: Analysis of stem diameter measurement in forest harvester (diploma thesis)2004

13th Scandinavian International Conference on Fluid Power; June 3-5; 2013; Linköping; Sweden

Author:
Jyrki Parkkinen, Kai Zenger, Joonas Ollila
Title:
Statistical Approach To Energy Efficiency Issue In Industrial Pneumatic Systems
DOI:
http://dx.doi.org/10.3384/ecp1392a46
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