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

Existing 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 ide...

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Main Authors: Faisal M., Muttaqi K.M., Sutanto D., Al-Shetwi A.Q., Ker P.J., Hannan M.A.
Other Authors: 57215018777
Format: Review
Published: Elsevier Ltd 2024
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-341682024-10-14T11:18:15Z Control technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directions Faisal M. Muttaqi K.M. Sutanto D. Al-Shetwi A.Q. Ker P.J. Hannan M.A. 57215018777 55582332500 7006225709 57004922700 37461740800 7103014445 Cost Energy efficiency Motor Optimization Pumping system Wastewater treatment plant Control systems Controllers Effluents Electric loads Energy utilization Population statistics Pumps Sewage pumping plants Smart power grids Wastewater treatment Water treatment plants 'current Control technologies Energy consumption and cost Energy cost Energy self-sufficiency Optimisations Pumping systems State of the art Uncertainty Waste water treatment plants Energy efficiency Existing 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 Ltd Final 2024-10-14T03:18:15Z 2024-10-14T03:18:15Z 2023 Review 10.1016/j.rser.2023.113324 2-s2.0-85154025517 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85154025517&doi=10.1016%2fj.rser.2023.113324&partnerID=40&md5=0dfd71187afcbddcf835445ba8e81279 https://irepository.uniten.edu.my/handle/123456789/34168 181 113324 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Cost
Energy efficiency
Motor
Optimization
Pumping system
Wastewater treatment plant
Control systems
Controllers
Effluents
Electric loads
Energy utilization
Population statistics
Pumps
Sewage pumping plants
Smart power grids
Wastewater treatment
Water treatment plants
'current
Control technologies
Energy consumption and cost
Energy cost
Energy self-sufficiency
Optimisations
Pumping systems
State of the art
Uncertainty
Waste water treatment plants
Energy efficiency
spellingShingle Cost
Energy efficiency
Motor
Optimization
Pumping system
Wastewater treatment plant
Control systems
Controllers
Effluents
Electric loads
Energy utilization
Population statistics
Pumps
Sewage pumping plants
Smart power grids
Wastewater treatment
Water treatment plants
'current
Control technologies
Energy consumption and cost
Energy cost
Energy self-sufficiency
Optimisations
Pumping systems
State of the art
Uncertainty
Waste water treatment plants
Energy efficiency
Faisal M.
Muttaqi K.M.
Sutanto D.
Al-Shetwi A.Q.
Ker P.J.
Hannan M.A.
Control technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directions
description Existing 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 Ltd
author2 57215018777
author_facet 57215018777
Faisal M.
Muttaqi K.M.
Sutanto D.
Al-Shetwi A.Q.
Ker P.J.
Hannan M.A.
format Review
author Faisal M.
Muttaqi K.M.
Sutanto D.
Al-Shetwi A.Q.
Ker P.J.
Hannan M.A.
author_sort Faisal M.
title Control technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directions
title_short Control technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directions
title_full Control technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directions
title_fullStr Control technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directions
title_full_unstemmed Control technologies of wastewater treatment plants: The state-of-the-art, current challenges, and future directions
title_sort control technologies of wastewater treatment plants: the state-of-the-art, current challenges, and future directions
publisher Elsevier Ltd
publishDate 2024
_version_ 1814060063849971712