Next Article in Journal
Analysis of a Series‑Parallel Resonant Converter for DC Microgrid Applications
Previous Article in Journal
Modelling and Optimization of Processing Factors of Pumpkin Seeds Oil Extraction under Uniaxial Loading
Previous Article in Special Issue
Energy, Exergy, and Thermo-Economic Analysis of Renewable Energy-Driven Polygeneration Systems for Sustainable Desalination
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Special Issue “Design, Control and Optimization of Desalination Processes”

by
Viviani C. Onishi
1,* and
Iqbal M. Mujtaba
2,*
1
School of Engineering and the Built Environment, Edinburgh Napier University, Merchiston Campus, 10 Colinton Road, Edinburgh EH10 5DT, UK
2
Department of Chemical of Engineering, Faculty of Engineering and Informatics, The University of Bradford, Bradford BD7 1DP, UK
*
Authors to whom correspondence should be addressed.
Processes 2021, 9(3), 541; https://doi.org/10.3390/pr9030541
Submission received: 12 March 2021 / Accepted: 14 March 2021 / Published: 18 March 2021
(This article belongs to the Special Issue Design, Control and Optimization of Desalination Processes)
Water scarcity due to the ever-increasing worldwide demand and climate change is one of the greatest hurdles of our time. In this light, desalination technologies are pivotal to tackle water shortage generated by population, industrial and urban growth and improve water availability in climate-stressed regions. Desalination can be divided into three main categories: thermal (multi-effect distillation, multi-stage flash distillation, mechanical, and thermal vapor compression), chemical (ion exchange), and membrane-based (reverse osmosis, membrane distillation, forward osmosis, nanofiltration and electrodialysis) processes. Despite the technological advances of desalination over recent decades, several issues such as the rather low water recovery factor and excessive energy consumption, together with their elevated costs, constitute major obstacles for its widespread practical implementation. Furthermore, the enormous amount of brine disposal and the high dependence on fossil fuels also raise important environmental concerns. The application of design, modelling, simulation and optimization techniques, allied to the development of more efficient controlling strategies and innovative desalination systems, is therefore paramount to overcome previous barriers and provide ameliorated solutions to process energy, economic and environmental performances.
This Special Issue on “Design, Control and Optimization of Desalination Processes” aims to gather the foremost developments in design, modelling and optimization methodologies, along with improved control and simulation strategies to address the most challenging problems faced by the desalination industry today. In this way, this Special Issue comprises three review papers on the scope and limitations of modelling, simulation, and optimization of spiral wound reverse osmosis desalination [1]; the drivers, challenges, and future prospects of a forward osmosis technique for seawater desalination [2]; the energy, exergy, and thermo-economic analysis of renewable energy-driven integrated desalination and polygeneration systems [3].
This Special Issue also encompasses eleven research articles covering the optimal sizing of hybrid solar photovoltaic, fuel cells, hydrogen storage, and reverse osmosis seawater desalination system [4]; design of unconfined dense plunging jets used for brine disposal from desalination plants [5]; mode-based analysis and optimal operation of a multi-stage flash desalination system [6]; simulation analysis and optimization of a coupled reverse osmosis and membrane capacitive deionization plant for seawater desalination [7]; optimal operating parameters of a capacitive deionization desalination system via radial movement optimization [8]; design and thermodynamic analysis of a scraped surface crystallizer plant for freeze desalination [9]; design of a fault detection and isolation control system for industrial seawater reverse osmosis desalination plants based on structural analysis [10]; simulation and economic feasibility evaluation of an ocean thermal energy conversion system for electricity and freshwater production [11]; design and performance investigation of a closed-cycle humidification–dehumidification desalination system [12]; two-dimensional modelling approach and performance assessment of ion-exchange membrane in membrane capacitive deionization [13]; and, advanced exergy, exergoeconomic, and exergoenvironmental analyses of a combined cycle power plant integrated with multi-effect distillation and reverse osmosis desalination units [14].
The guest editors would like to thank all authors for their valuable contributions.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Alsarayreh, A.A.; Al-Obaidi, M.A.; Patel, R.; Mujtaba, I.M. Scope and Limitations of Modelling, Simulation, and Optimisation of a Spiral Wound Reverse Osmosis Process-Based Water Desalination. Processes 2020, 8, 573. [Google Scholar] [CrossRef]
  2. Aende, A.; Gardy, J.; Hassanpour, A. Seawater Desalination: A Review of Forward Osmosis Technique, Its Challenges, and Future Prospects. Processes 2020, 8, 901. [Google Scholar] [CrossRef]
  3. Khoshgoftar Manesh, M.H.; Onishi, V.C. Energy, Exergy, and Thermo-Economic Analysis of Renewable Energy-Driven Polygeneration Systems for Sustainable Desalination. Processes 2021, 9, 210. [Google Scholar] [CrossRef]
  4. Rezk, H.; Alghassab, M.; Ziedan, H.A. An Optimal Sizing of Stand-Alone Hybrid PV-Fuel Cell-Battery to Desalinate Seawater at Saudi NEOM City. Processes 2020, 8, 382. [Google Scholar] [CrossRef] [Green Version]
  5. Chow, A.C.; Shrivastava, I.; Adams, E.E.; Al-Rabaie, F.; Al-Anzi, B. Unconfined Dense Plunging Jets Used for Brine Disposal from Desalination Plants. Processes 2020, 8, 696. [Google Scholar] [CrossRef]
  6. Gao, H.; Jiang, A.; Huang, Q.; Xia, Y.; Gao, F.; Wang, J. Mode-Based Analysis and Optimal Operation of MSF Desalination System. Processes 2020, 8, 794. [Google Scholar] [CrossRef]
  7. Yao, S.; Ji, M. A Small RO and MCDI Coupled Seawater Desalination Plant and Its Performance Simulation Analysis and Optimization. Processes 2020, 8, 944. [Google Scholar] [CrossRef]
  8. Rezk, H.; Saleem, M.W.; Abdelkareem, M.A.; Al-Dhaifallah, M. Radial Movement Optimization Based Optimal Operating Parameters of a Capacitive Deionization Desalination System. Processes 2020, 8, 964. [Google Scholar] [CrossRef]
  9. Erlbeck, L.; Wössner, D.; Kunz, T.; Methner, F.-J.; Rädle, M. Comparison of Two Different Designs of a Scraped Surface Crystallizer for Desalination Effect and Hydraulic and Thermodynamic Numbers. Processes 2020, 8, 971. [Google Scholar] [CrossRef]
  10. Pérez-Zuñiga, G.; Rivas-Perez, R.; Sotomayor-Moriano, J.; Sánchez-Zurita, V. Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant. Processes 2020, 8, 1100. [Google Scholar] [CrossRef]
  11. Seungtaek, L.; Hosaeng, L.; Junghyun, M.; Hyeonju, K. Simulation Data of Regional Economic Analysis of OTEC for Applicable Area. Processes 2020, 8, 1107. [Google Scholar] [CrossRef]
  12. Liu, J.; Sun, Y.; Yv, S.; Wang, J.; Hu, K. Design and Experimental Study on a New Closed-Cycle Desalination System Based on Ambient Temperature. Processes 2020, 8, 1131. [Google Scholar] [CrossRef]
  13. Zhang, X.; Reible, D. Exploring the Function of Ion-Exchange Membrane in Membrane Capacitive Deionization via a Fully Coupled Two-Dimensional Process Model. Processes 2020, 8, 1312. [Google Scholar] [CrossRef]
  14. Khoshgoftar Manesh, M.; Ghadikolaei, R.; Modabber, H.; Onishi, V. Integration of a Combined Cycle Power Plant with MED-RO Desalination Based on Conventional and Advanced Exergy, Exergoeconomic, and Exergoenvironmental Analyses. Processes 2020, 9, 59. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Onishi, V.C.; Mujtaba, I.M. Special Issue “Design, Control and Optimization of Desalination Processes”. Processes 2021, 9, 541. https://doi.org/10.3390/pr9030541

AMA Style

Onishi VC, Mujtaba IM. Special Issue “Design, Control and Optimization of Desalination Processes”. Processes. 2021; 9(3):541. https://doi.org/10.3390/pr9030541

Chicago/Turabian Style

Onishi, Viviani C., and Iqbal M. Mujtaba. 2021. "Special Issue “Design, Control and Optimization of Desalination Processes”" Processes 9, no. 3: 541. https://doi.org/10.3390/pr9030541

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop