Fault-Tolerant Control of a Reverse Osmosis Desalination Process

McFall, Charles W.; Christofides, Panagiotis D.; Cohen, Yoram; Davis, James F.

doi:10.3182/20070606-3-mx-2915.00145

Cited by 20 publications

(16 citation statements)

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“…Nonlinear control strategies have been developed to minimize the effects of varying feed water quality and also to account and correct for various faults that may present themselves during the operation of a reverse osmosis desalination process [3], [4]. Furthermore, control methods using model-predictive control (MPC) and Lyapunov-based control have also been evaluated using computer simulations [5], [6], [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Minimizing energy consumption in reverse osmosis membrane desalination using optimization-based control

Bartman

Zhu

Christofides

et al. 2010

Proceedings of the 2010 American Control Conference

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This work focuses on the design and implementation of an optimization-based control system on an experimental reverse osmosis (RO) membrane water desalination process in order to facilitate system operation at an energy optimal condition. A dynamic nonlinear lumped-parameter model for the RO process is derived using first principles and the model parameters are computed from experimental data to minimize the error between model predictions and actual system response. This model, along with several equations for reverse osmosis system energy analysis, are combined to form the basis for the design of a nonlinear optimization-based control system. The proposed control system is implemented on UCLA's experimental RO system and its energy optimization capabilities are evaluated.

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Section: Introductionmentioning

confidence: 99%

Minimizing energy consumption in reverse osmosis membrane desalination using optimization-based control

Bartman

Zhu

Christofides

et al. 2010

Proceedings of the 2010 American Control Conference

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“…On the other hand, MPCs are powerful tools to control RO desalination plants (Abbas, 2006), (Bartman et al, 2009). The AFTC –based model predictive controllers seemed to be the most functional approach to control RO desalination plants according to literature (Mcfall et al, no date), (Gambier et al, 2009, 2010).…”

Section: Introductionmentioning

confidence: 99%

Integrated model predictive fault-tolerant control, and fault detection based on the parity space approach for a reverse osmosis desalination unit

Mehrad

Kargar

2020

Transactions of the Institute of Measurement and Control

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Actuator faults are inevitable in small reverse osmosis desalination plants. It may cause energy losses and reduce the quality of the freshwater, which may endanger human life. This paper focuses on the integrated fault detection and fault-tolerant control approach. The primary motivation of this paper is to propose a novel integrated fault detection and fault-tolerant control approach. The actuator fault is estimated using the concept of parity space approach. Then the system model is updated in the fault-tolerant control block using the information of the estimated fault parameter. Moreover, the proposed approach uses the receding-horizon predictive control-bounded data uncertainties controller, which is the robust and stable variant of generalized predictive control. The remaining uncertainty caused by the model and observer is compensated by this controller. The structure of a small reverse osmosis desalination plant is deployed. In this plant, the permeate flow rate and conductivity are controlled by a retentate valve and a bypass valve, which add a small amount of inlet to the outlet. The performances of three predictive model controllers are evaluated, and a comparison is made between their computational costs, stability, and robustness. The plant is considered to be linear time-invariant and subject to model uncertainties, measurement noise, and actuator fault in the retentate valve as efficiency dropping. The results reveal the robustness of the proposed approach concerning noise and matched uncertainties as well as its accommodation to actuator fault up to 90%.

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“…Bartman et al [22] designed and implemented a nonlinear model-based control system for a pilot-scale BWRO desalination plant. The model [23] used was based on a mass balance taken around the entire system and on an energy balance taken around the actuated concentrate valve. The model proposed by M.W.…”

Section: Introductionmentioning

confidence: 99%

“…The previously mentioned mass/energy-based model proposed by C.W. McFall et al [23] was used by A.R. Bartman et al [25] in a simulated BWRO system with concentrate recirculation.…”

Section: Introductionmentioning

confidence: 99%

On-Off Control Strategy in a BWRO System under Variable Power and Feedwater Concentration Conditions

Ruiz-García

Nuez

2020

Applied Sciences

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Although reverse osmosis (RO) is the technology of choice for solving water shortage problems, it is a process that consumes large amounts of energy. Brackish water (BW) desalination is more efficient than seawater desalination due to the lower salinity of the feedwater source. This makes coupling renewable energy sources with BWRO systems attractive. The operation of this type of systems is complex and requires the design of control strategies to obtain optimal operation. The novelty of this work was to propose a simple on-off control strategy for operating a BWRO system that can work with one and two stages and with different configurations considering six spiral wound membrane elements per pressure vessel (PV). The feedwater quality variations of a real groundwater well were used together with a computational tool to simulate the response of the different configurations with the purpose of selecting the most appropriate depending on the input power to the BWRO system. The most suitable configurations were found to be 1:0, 2:1 and 3:2 (PV first stage:PV second stage). It was additionally found that increased feedwater concentrations resulted in shorter operating ranges to maximize permeate water production for the 1:0 and 2:1 configurations, and that the 3:2 configuration was the most suitable for most of the operating range.

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Fault-Tolerant Control of a Reverse Osmosis Desalination Process

Cited by 20 publications

References 15 publications

Minimizing energy consumption in reverse osmosis membrane desalination using optimization-based control

Minimizing energy consumption in reverse osmosis membrane desalination using optimization-based control

Integrated model predictive fault-tolerant control, and fault detection based on the parity space approach for a reverse osmosis desalination unit

On-Off Control Strategy in a BWRO System under Variable Power and Feedwater Concentration Conditions

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