Abstract
This chapter addresses the separate subject, however closely linked to the CPA. Estimation of the potential improvement benefit due to the better control uses some of the knowledge about control quality. But, what is more important, it tries to foresee what improvements might be brought by better control. Apart from the classical the same limit methodology, which is based on the normality assumption, the fat-tail non-Gaussian extension is proposed and described. The comparison between the methods is presented and discussed.
The curious task of economics is to demonstrate to men how
little they really know about what they imagine they can design.
– Friedrich A. Hayek
In the midst of chaos, there is also opportunity.
– Sun Tzu
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ali, M.K.: Assessing economic benefits of advanced control. In: 5th Asian Control Conference, Process Control in the Chemical Industries, Chemical Engineering Department, pp. 146–159. King Saud University, Riyadh, Kingdom of Saudi Arabia (2002)
Asawachatroj, A., Banjerdpongchai, D., Busaratragoon, P.: Economic assessment of APC and RTO using option to expand. Eng. J. 20(5), 115–134 (2016). http://engj.org/index.php/ej/article/view/947
Bauer, M., Craig, I.K.: Economic assessment of advanced process control a survey and framework. J. Process Control 18(1), 2–18 (2008)
Bauer, M., Craig, I.K., Tolsma, E., de Beer, H.: A profit index for assessing the benefits of process control. Ind. Eng. Chem. Res. 46(17), 5614–5623 (2007)
Dolenc, J.: Estimating benefits from process automation. https://www.emersonautomationexperts.com/presentations/EstimatingBenefitsFromProcessAutomation_JohnDolenc.pdf Emerson Global Users Exchange. Grapevine, TX (2007)
Domański, P.D.: Non-Gaussian and persistence measures for control loop quality assessment. Chaos: An Interdiscip. J. Nonlinear Sci. 26(4), 043,105 (2016)
Domański, P.D.: Non-Gaussian assessment of the benefits from improved control. Preprints of the IFAC World Congress 2017, pp. 5092–5097. Toulouse, France (2017)
Domański, P.D., Marusak, P.M.: Estimation of control improvement benefit with \({\alpha }\)-stable distribution. In: Kacprzyk, J., Mitkowski, W., Oprzedkiewicz, K., Skruch, P. (Eds.) Trends in Advanced Intelligent Control, Optimization and Automation, vol 577, pp. 128–137. Springer International Publishing AG (2017)
Domański, P.D., Golonka, S., Jankowski, R., Kalbarczyk, P., Moszowski, B.: Control rehabilitation impact on production efficiency of ammonia synthesis installation. Ind. Eng. Chem. Res. 55(39), 10,366–10,376 (2016)
Gabor, J., Pakulski, D., Domański, P.D., Świrski, K.: Closed loop NOx control and optimization using neural networks. In: IFAC Symposium on Power Plants and Power Systems Control, Brussels, Belgium, pp. 188–196 (2000)
Laing, D., Uduehi, D., Ordys, A.: Financial benefits of advanced control. Benchmarking and optimization of a crude oil production platform. Proc. Am. Control Conf. 6, 4330–4331 (2001)
Latour, P.R., Sharpe, J.H., Delaney, M.C.: Estimating benefits from advanced control. ISA Trans. 25(4), 13–21 (1986)
Marlin, T.E., Perkins, J.D., Barton, G.W., Brisk, M.L.: Benefits from process control: results of a joint industry-university study. J. Process Control 1(2), 68–83 (1991)
Tolfo, F.: A methodology to assess the economic returns of advanced control projects. In: American Control Conference 1983, pp. 1141–1146. IEEE (1983)
Wei, D., Craig, I.: Development of performance functions for economic performance assessment of process control systems. In: 9th IEEE AFRICON, pp. 1–6 (2009)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Domański, P.D. (2020). Control Improvement Benefit Estimation. In: Control Performance Assessment: Theoretical Analyses and Industrial Practice. Studies in Systems, Decision and Control, vol 245. Springer, Cham. https://doi.org/10.1007/978-3-030-23593-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-23593-2_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23592-5
Online ISBN: 978-3-030-23593-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)