Allocation of energy in surface water treatment plants for maximum energy conservation

De, Paulami; Majumder, Mrinmoy

doi:10.1007/s10668-019-00349-w

Cited by 7 publications

(3 citation statements)

References 43 publications

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“…Table 6 summarizes the papers reviewed in this category, highlighting the methodological approaches and contexts of application of MCDM methods [60][61][62][63][64][65][66][67][68][69][70][71][72].…”

Section: Multiple Sustainable Development Goalsmentioning

confidence: 99%

“…In this category, most of the studies adopted compromise methods (TOPSIS and VIKOR, for example) [61,63,64,66,[69][70][71], whereas three employed a utility-based method (AHP) [62,64,65], two applied an outranking method (PROMETHEE) [68,69], and the remaining studies [60,67,71,72] used multi-objective methods (e.g., GP and MOLP). Finally, it should be emphasized that four studies [61,64,69,70] combined fuzzy logic with MCDM methods, and one of them [65] employed artificial intelligence algorithms (i.e., Bacterial Foraging Optimization Algorithm and the Firefly Algorithm) to optimize objective functions for the intelligent allocation of energy to different contributors to surface water treatment plants in India.…”

Section: Multiple Sustainable Development Goalsmentioning

confidence: 99%

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Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021

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Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

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Section: Multiple Sustainable Development Goalsmentioning

confidence: 99%

Section: Multiple Sustainable Development Goalsmentioning

confidence: 99%

Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021

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“…Water and energy are reciprocally linked: fulfilling energy needs requires water in mining, fuel production, hydropower, power plant cooling, pumping, collection, treatment, and the discharge of wastewater. "This interrelationship is often referred to as the energy-water nexus, or the water-energy nexus" [4,5]. Power and water supply are widely recognized as the two major issues mankind will have to face and solve during this century [6].…”

Section: Introductionmentioning

confidence: 99%

Review of Solar Energy Applications for Water Treatment; a Global and African Perspective

Njoku

Oluwasola

Onyekuru

et al. 2022

Geoinformatica Polonica

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Solar energy is energy derived from the sun’s radiation. The sun’s energy can be exploited using a variety of technologies, including (a) photovoltaic (PV)/concentrator photovoltaics (CPV) systems that convert photons to electricity; and (b) solar thermal technologies that capture thermal energy from the sun’s radiation using solar collectors or concentrated solar power systems (CSP). Due to the quest for power supply from renewable, cheap, and non-gaseous emission sources coupled with the attempts to combat the shortage of potable water in rural areas, much research on the interface of solar energy power systems with water treatment plants has been reported. However, the greater part of the existing reports are based on theoretical modelling, with only minimal experimental, cost analysis, pilot projects and strategic studies. Also, even though solar-powered water treatment technologies are still in the early stages of research, and very rare studies based on real plants have been conducted, existing publications are mostly focused on single principles, making it impossible to assess and compare several technologies. Globally, this review has particularly highlighted the recent advances in the application of solar energy technologies in desalination and wastewater treatments. It likewise highlighted the key research findings and the critical gaps in the existing achievements. It further highlighted the attempts made on hybrid techniques with other renewable energy sources such as wind and geothermal energies which are paramount for scaling up and commercialization uses. However, the findings revealed that most of these studies were restricted to particular parts of the globe without candid evidence from the African perspective, especially Sub-Saharan Africa. Thus, due to the paucity of information concerning this topic within the region, there is a need for further studies on the application of solar energy for water treatment, especially on a pilot scale level for sustainable development. PRZEGLĄD ZASTOSOWAŃ ENERGII SŁONECZNEJ DO OCZYSZCZANIA ŚCIEKÓW; PERSPEKTYWA GLOBALNA I AFRYKAŃSKA Energia pochodząca z promieniowania słońca może być eksploatowana przy użyciu różnorodnych technologii, w tym (a) fotowoltaiki (PV)/skoncentrowanej fotowoltaiki (CPV), systemów, które przekształcają fotony w energię elektryczną; i (b) słoneczne technologie cieplne, które wychwytują energię cieplną z promieniowania słonecznego przy pomocy kolektorów słonecznych lub skoncentrowanych systemów energii słonecznej (CSP). Z powodu poszukiwań dostaw energii ze źródeł odnawialnych, tanich i nie emitujących zanieczyszczeń gazowych, a także wysiłków na rzecz walki z niedoborem wody pitnej w obszarach wiejskich, opublikowano wiele badań na temat systemów pozyskiwania energii słonecznej dla obsługi oczyszczalni ścieków. Jednakże większość istniejących opracowań oparta jest o modelowanie teoretyczne, jedynie z minimalną częścią eksperymentalną, analizą kosztów, projektami pilotażowymi i studiami strategicznymi. Co więcej, technologie oczyszczania wody zasilane energią słoneczną wciąż są na wczesnym etapie, a prace dotyczące badań w prawdziwych oczyszczalniach są rzadkie, publikacje w większości skupiają się na pojedynczych przypadkach, uniemożliwiając porównywanie kilku technologii wykorzystujących energię słoneczną do odsalania wody i oczyszczania ścieków. Wskazuje również kluczowe wyniki badań oraz istotne braki w istniejącym stanie zaawansowania. Ponadto przedstawia próby z technikami hybrydowymi, wykorzystującymi inne odnawialne źródła energii, takie jak wiatr i energia geotermalna, które są kluczowe w zwiększaniu skali produkcji i komercjalizacji. Jednakże wyniki badań wskazują, że większość prac ograniczona jest do innych kontynentów; brak jest jasnej afrykańskiej perspektywy, szczególnie dotyczącej Afryki subsaharyjskiej. Tak więc, z powodu skąpych informacji na ten temat, które dotyczą tego regionu, istnieje potrzeba dalszych badań nad zastosowaniem energii słonecznej do oczyszczania ścieków, szczególnie w skali pilotażowej, które przyczynią się do zrównoważonego rozwoju.

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Surface tension of binary mixtures containing environmentally friendly ionic liquids: Insights from artificial intelligence

Setiawan

Daneshfar

Rezvanjou

et al. 2021

Environ Dev Sustain

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The surface tension (ST) of ionic liquids (ILs) and their accompanying mixtures allows engineers to accurately arrange new processes on the industrial scale. Without any doubt, experimental methods for the specification of the ST of every supposable IL and its mixtures with other compounds would be an arduous job. Also, experimental measurements are effortful and prohibitive; thus, a precise estimation of the property via a dependable method would be greatly desirable. For doing this task, a new modeling method according to artificial neural network (ANN) disciplined by four optimization algorithms, namely teaching-learning-based optimization (TLBO), particle swarm optimization (PSO), genetic algorithm (GA) and imperialist competitive algorithm (ICA), has been suggested to estimate ST of the binary ILs mixtures. For training and testing the applied network, a set of 748 data points of binary ST of IL systems within the temperature range of 283.1-348.15 K was utilized. Furthermore, an outlier analysis was used to discover doubtful data points. Gained values of MSE & R 2 were 0.0000007 and 0.993, 0.0000002 and 0.998, 0.0000004 and 0.996 and 0.0000006 and 0.994 for the ICA-ANN, TLBO-ANN, PSO-ANN and GA-ANN, respectively. Results demonstrated that the experimental data and predicted values of the TLBO-ANN model for such target are wholly matched.

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Allocation of energy in surface water treatment plants for maximum energy conservation

Cited by 7 publications

References 43 publications

Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

Review of Solar Energy Applications for Water Treatment; a Global and African Perspective

Surface tension of binary mixtures containing environmentally friendly ionic liquids: Insights from artificial intelligence

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