Energy management of a Reverse Osmosis desalination process powered by renewable energy sources

Ali, Ines Ben; Turki, Mehdi; Roboam, Xavier

doi:10.1109/melcon.2012.6196551

Cited by 9 publications

(8 citation statements)

References 9 publications

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“…Moreover, from power ranges of motor pumps, three operating modes are considered for our system: water Pumping (P), water Desalination (D), and both Pumping and Desalination (D&P) modes [33,36]. The operating mode preference essentially depends on the variable power supply P DC , the stored water levelL 1 in the tank T 1 that must vary on its specified confinesðL 1min L 1 L 1max Þ, and the operating power ranges of the two processes ½P min P max (Fig.…”

Section: Em Criteria and Constraintsmentioning

confidence: 99%

Optimized fuzzy rule-based energy management for a battery-less PV/wind-BWRO desalination system

Ali

Turki

Belhadj

et al. 2018

Energy

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Coupling water desalination processes with Renewable Energy Sources (RESs) can be a sustainable and ecological approach to the global water/energy supply crisis. In this regard, small scale standalone battery less Brackish Water Reverse Osmosis (BWRO) desalination system powered by a hybrid PV/Wind RES is expected to meet freshwater demand of a small isolated community. One particularity of the proposed architecture deals with the absence of electrochemical storage; only taking benefit of hydraulic storage in water tanks when RE is available. This study puts forward the prime importance of Water/ Power flows management optimization. For this purpose, an online Fuzzy Logic based Energy Manage ment Strategy (FLEMS) is proposed. Firstly, a Hand Made Fuzzy Inference System (HMFIS) was designed to identify the instantaneous power sharing between the system hydro mechanical processes (well pumping, water storage and desalination processes). Secondly, an offline genetic algorithm optimization was applied on the HMFIS design in order to optimize the power sharing factor and maximize freshwater production. Then, when applying unknown power profile, the optimized FLEMS demonstrated its per formance to improve the system energy efficiency and enhance the brackish water (from 16.7% in autumn to 63% in summer) and freshwater production (to 3.3% during autumn for instance) compared with the HMFIS based EMS.

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Section: Em Criteria and Constraintsmentioning

confidence: 99%

Optimized fuzzy rule-based energy management for a battery-less PV/wind-BWRO desalination system

Ali

Turki

Belhadj

et al. 2018

Energy

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“…In such a case, the inverter is used to regulate the magnetic flux and control the torque being cascaded with the DC link voltage control loop [17]- [23]- [24]. In the Park's d-q reference frame linked to rotating field, the rotor flux is controlled through the d-axis ( = , = 0) (Fig.5).…”

Section: B Hydro-mechanical Subsystem Modelingmentioning

confidence: 99%

“…respecting its allowable energy efficiency). As detailed in [25] each pumping subsystem is subject to some constraints (i.e. concerning the well pump, HP pump and the RO desalination membrane).…”

Section: A Water-energy Management Problemmentioning

confidence: 99%

Using quasi-static model for water/power management of a stand-alone wind/photovoltaic/BWRO desalination system without batteries

Ali

Turki

Roboam

2016

2016 7th International Renewable Energy Congress (IREC)

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This paper is focused on modeling and energy management of one particular type of Brackish Water Reverse Osmosis (BWRO) desalination unit: a small-scale unit installed in remote areas. This kind of system, involving several water subsystems (hydro-mechanical processes), is powered by an intermittent energy source (PV-Wind turbine) via a DC bus. Such an autonomous system is characterized by a hydraulic storage instead of an electric storage. This issue has been dealt with through a specific Energy Management (EM) strategy. The latter enables to manage simultaneously the power and water flows in the hydro-mechanical subsystems. For this purpose, a quasi-static modeling has been proposed for the hydromechanical processes. This model has been validated through an experimental characterization of a BWRO desalination experimental test bench. The EM simulation results have been provided to show the correct operation of the desalination unit with the given rule-based-power sharing strategy. Keywords-BWRO desalination; intermittent energy source; autonomous system; quasi-static model; water/power management I.

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“…Support for direct use of the compressed air systems and estimation of their existing storage capacities in German industry are provided in [29]. And among the numerous studies focusing on the use of water storage in desalination plant for demand-side management one should mention [30,31].…”

Section: Consumers Suitable For Implementing the New Ru-dr Techniquementioning

confidence: 99%

Indirect coordination of electricity demand for balancing wind power

Gafurov

Prodanović

2014

IET Renewable Power Generation

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High penetration of wind energy in modern power systems led to an increase in the balancing requirements, especially in load‐following and unit commitment time frames, which only further compromised the overall reliability and efficiency of electricity supply. One of the possible solutions to address this critical balancing capacity issue is the application of demand response schemes on regular basis for matching electricity consumption and production. This study examines the existing applications of demand response in the given area and proposes an alternative approach based on a proactive dispatch of large industrial consumers by using indirect coordination. The candidate industries suitable for the implementation of the new demand response scheme are sought for and presented. The usefulness and the performance of the proposed arrangement operating as a regular balancing mechanism have been evaluated and demonstrated in several test‐case scenarios by applying simplified Monte Carlo simulations.

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Energy management of a Reverse Osmosis desalination process powered by renewable energy sources

Cited by 9 publications

References 9 publications

Optimized fuzzy rule-based energy management for a battery-less PV/wind-BWRO desalination system

Optimized fuzzy rule-based energy management for a battery-less PV/wind-BWRO desalination system

Using quasi-static model for water/power management of a stand-alone wind/photovoltaic/BWRO desalination system without batteries

Indirect coordination of electricity demand for balancing wind power

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