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Control technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directions

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dc.citedby16
dc.contributor.authorFaisal M.en_US
dc.contributor.authorMuttaqi K.M.en_US
dc.contributor.authorSutanto D.en_US
dc.contributor.authorAl-Shetwi A.Q.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorid57215018777en_US
dc.contributor.authorid55582332500en_US
dc.contributor.authorid7006225709en_US
dc.contributor.authorid57004922700en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid7103014445en_US
dc.date.accessioned2024-10-14T03:18:15Z
dc.date.available2024-10-14T03:18:15Z
dc.date.issued2023
dc.description.abstractExisting pieces of literature on previous studies advocate the research focus by various researchers to reach the benchmark of energy efficiency of Wastewater Treatment Plants (WWTPs). The driving factors to improve the energy efficiency and mitigate the energy self-sufficiency of WWTP have been identified as the increase in population growth, rising energy costs, and tightening effluent discharge requirements. WWTP economy is directly related to energy consumption and thus affects smart grid economy. There has been limited research on energy self-sufficiency and optimizing the energy demand and cost of WWTP, where the significant contributing factors are in development an optimal pumping system and advanced motor technologies. Moreover, high quality WWTP's effluent depends on the concentration level of biochemical oxygen demand (BOD) and total kjedhal nitrogen (TKN). Even so, WWTPs are always subject to evident nonlinearities and uncertainties, making it difficult to define proper optimization objectives. Besides, controllers and control systems have a strong influence on the performance of the plants. Therefore, existing research gaps to achieve optimal efficiency with minimized energy consumption and costs are the design of the WWTP plant, pumping system, motors, selection of suitable controllers and control systems, and their parameter optimizations to get the optimal output from the plant, switching techniques, challenges and uncertainties associated with plant are highlighted in this paper. Thus, as a novel contribution to the literature, this study aims to review and analyze the history, current issues, and future directions of WWTP control technologies in the context of sustainable development. The rigorous study by the authors in this paper will definitely lead the academic researchers and industry partners toward the development of optimal WWTP technologies with improved efficiency and minimized energy consumption and costs. � 2023 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo113324
dc.identifier.doi10.1016/j.rser.2023.113324
dc.identifier.scopus2-s2.0-85154025517
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85154025517&doi=10.1016%2fj.rser.2023.113324&partnerID=40&md5=0dfd71187afcbddcf835445ba8e81279
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34168
dc.identifier.volume181
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleRenewable and Sustainable Energy Reviews
dc.subjectCost
dc.subjectEnergy efficiency
dc.subjectMotor
dc.subjectOptimization
dc.subjectPumping system
dc.subjectWastewater treatment plant
dc.subjectControl systems
dc.subjectControllers
dc.subjectEffluents
dc.subjectElectric loads
dc.subjectEnergy utilization
dc.subjectPopulation statistics
dc.subjectPumps
dc.subjectSewage pumping plants
dc.subjectSmart power grids
dc.subjectWastewater treatment
dc.subjectWater treatment plants
dc.subject'current
dc.subjectControl technologies
dc.subjectEnergy consumption and cost
dc.subjectEnergy cost
dc.subjectEnergy self-sufficiency
dc.subjectOptimisations
dc.subjectPumping systems
dc.subjectState of the art
dc.subjectUncertainty
dc.subjectWaste water treatment plants
dc.subjectEnergy efficiency
dc.titleControl technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directionsen_US
dc.typeReviewen_US
dspace.entity.typePublication
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