Reports: AC9 45603-AC9: Financial RISK Considerations IN the Design and Retrofit of Accurate Sensor Networks

Miguel Bagajewicz, University of Oklahoma

PROJECT ACTIVITIES The original goals of the project were: a) New network performance measures: residual reliability, and accuracy of estimators, which will help overcome practical problems in implementing current design methods. b) An unconstrained optimization model, which relates all sensor network properties to the value of the information they produce and contrasts it with cost. c) Inclusion of financial risk management in the problem. Revised Scope of Work (Due to reduction from three years to two years) The original proposal included: - New Robustness measures (Accuracy and residual reliability): Of these, we will leave out the residual reliability, but will keep the work on accuracy. - Unconstrained Optimization and Financial Risk: This part will consider the linear cases only. The non-linear systems were taken out. =============================================================== FINAL REPORT The major outcomes are: a) A paper outlining stochastic accuracy calculations: b) A conference paper outlining stochastic accuracy calculations: c) A full paper on the design of sensor networks using precision goals (not accuracy): d) A paper on the impact of maintenance on accuracy: e) One accepted paper on sensor network design based on accuracy goals: f) Two accepted papers on sensor network design based on value of information: g) One accepted paper on sensor network design method. h) Two papers in preparation (work not funded anymore by ACS-PRF): i) Material from the results of this project were included in a Handbook Chapter: j) Material from the results of this project were included in a book. Summary of Project Findings * Stochastic accuracy calculations were made for linear cases and was extended to non-linear cases. * Design Methods for nonlinear cases were developed and published. The impact of sensor maintenance and numerical issues were also investigated. Personnel As it is explained below, the project employed one existing student (DuyQuang Nguyen) , funded from other sources (the author of the papers cited above), hired one student (Aravinda Buddhala), who after 3 months left, and later hired a student (Sanjay Kumar Sugumar), who started in August 15, 2007. Sanjay has proven to be a weak student so we had to have DuyQuang Nguyen help. He left the project. Support for DuyQuang Nguyen was instrumental in achieving all aforementioned results. OUTREACH ACTIVITIES The PI and his group engaged in a number of dissemination activities. - We made a presentation at the Texas Tech University Control Consortium in April 2007. - A paper was presented at the Inter American Conference of Chemical Engineering held in Buenos Aires, October 2006. * XII Inter-American Congress of Chemical Engineering. October, 2006. Buenos Aires, Argentina. Cost Benefit Analysis of Instrument Maintenance Policies and Data Reconciliation Related to Plant Data Accuracy. DuyQuang Nguyen and M. Bagajewicz - We submitted papers to the AIChE Annual Conference to be held in November 2007 in Salt Lake City. * AIChE Annual Meeting. Salt Lake City, UT (2007). Realizing Smart Plants through Smart Design/upgrade of Instrumentation Networks. Miguel Bagajewicz, Donald Chmielewski and Raghunathan Rengaswamy. * AIChE Annual Meeting. Salt Lake City, UT (2007). Optimal Instrumentation Networks for Maximum Economic Value of Plant Operations. Duyquang Nguyen and Miguel Bagajewicz. * AIChE Annual Meeting. Salt Lake City, UT (2007). Nonlinear Sensor Network Design and Upgrade for Optimal Monitoring. Miguel J. Bagajewicz and DuyQuang Nguyen.

 
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