Nonlinear Dynamic Model-Based Multiobjective Sensor Network Design Algorithm for a Plant with an Estimator-Based Control System

Journal Article · Tue Jun 06 00:00:00 EDT 2017 · Industrial and Engineering Chemistry Research

DOI:https://doi.org/10.1021/acs.iecr.6b04020· OSTI ID:1395082

Paul, Prokash ^[1]; Bhattacharyya, Debangsu ^[1]; Turton, Richard ^[1]; Zitney, Stephen E. ^[2]

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1. West Virginia Univ., Morgantown, WV (United States)
2. West Virginia Univ., Morgantown, WV (United States); National Energy Technology Lab. (NETL), Morgantown, WV (United States)

Here, a novel sensor network design (SND) algorithm is developed for maximizing process efficiency while minimizing sensor network cost for a nonlinear dynamic process with an estimator-based control system. The multiobjective optimization problem is solved following a lexicographic approach where the process efficiency is maximized first followed by minimization of the sensor network cost. The partial net present value, which combines the capital cost due to the sensor network and the operating cost due to deviation from the optimal efficiency, is proposed as an alternative objective. The unscented Kalman filter is considered as the nonlinear estimator. The large-scale combinatorial optimization problem is solved using a genetic algorithm. The developed SND algorithm is applied to an acid gas removal (AGR) unit as part of an integrated gasification combined cycle (IGCC) power plant with CO₂ capture. Due to the computational expense, a reduced order nonlinear model of the AGR process is identified and parallel computation is performed during implementation.

• Research Organization: National Energy Technology Laboratory (NETL), Pittsburgh, PA, and Morgantown, WV (United States)
• Sponsoring Organization: USDOE
• OSTI ID: 1395082
• Report Number(s): NETL-PUB--21062
• Journal Information: Industrial and Engineering Chemistry Research, Journal Name: Industrial and Engineering Chemistry Research Journal Issue: 26 Vol. 56; ISSN 0888-5885
• Publisher: American Chemical Society (ACS)
• Country of Publication: United States
• Language: English

Related Subjects

Lexicographic optimization
42 ENGINEERING
Acid Gas Removal
Control
Dynamic Modeling
Efficiency
Efficiency maximization
Nonlinear dynamic model-based sensor network design
Nonlinear model identification
Parallel Computing OSTI
Parallel computing
Sensor Network Design