Model Based Monitoring Using Integrated Data Validation, Simulation and Parameter Estimation
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Model Based Monitoring Using Integrated Data Validation, Simulation and Parameter Estimation

Authors: Reza Hayati, Maryam Sadi, Saeid Shokri, Mehdi Ahmadi Marvast, Saeid Hassan Boroojerdi, Amin Hamzavi Abedi

Abstract:

Efficient and safe plant operation can only be achieved if the operators are able to monitor all key process parameters. Instrumentation is used to measure many process variables, like temperatures, pressures, flow rates, compositions or other product properties. Therefore Performance monitoring is a suitable tool for operators. In this paper, we integrate rigorous simulation model, data reconciliation and parameter estimation to monitor process equipments and determine key performance indicator (KPI) of them. The applied method here has been implemented in two case studies.

Keywords: Data Reconciliation, Measurement, Optimization, Parameter Estimation, Performance Monitoring.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076708

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2035

References:


[1] G., Heyen and B., Kalitventzeff, Process monitoring and Data Reconciliation, in L. Puigjaner and G. Heyen (eds), Computer Aided Process Engineering, Wiley-VCH, 2006.
[2] N., Arora, L. T., Biegler and G., Heyen, Data Reconciliation Framework, in B. Braunschweig and R. Gani (eds) Software Architectures and Tools for Computer Aided Process Engineering, Elsevier, 2002.
[3] B., Kalitventzeff, G., Heyen, M., Mateus Tavares, Data Validation, a Technology for intelligent Manufacturing, in L. Puigjaner and G. Heyen (eds), Computer Aided Process Engineering, Wiley-VCH, 2006..
[4] http://www.belsim.com/Vali.aspx, accessed November 25, 2006.
[5] http://www.pepite.be/en/produits/PEPITo, accessed November 25, 2006.
[6] S., Narasimhan and C., Jordache, Data reconciliation and gross error detection: an intelligent use of process data, Houston, TX, USA: Gulf Publishing Company, 2000.
[7] J.A., Romagnoli and M.C., Sanchez, Data processing and reconciliation for chemical process operations, Academic Press, 2000.
[8] M., Piccolo, P.L., Douglas and P.L., Lee, Data reconciliation using Aspen Plus, Developments in chemical engineering and mineral Processing, Volume 4, Issue 3-4, Pages 157-182, 1996.
[9] Aspen Plus User Guide, AspenTech Co., 2008.
[10] http://www.lassc.ulg.ac.be/webCheng00/meca0468-1, November 2006.