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RESEARCH PRODUCT

Energy saving in wastewater treatment plants: A plant-generic cooperative decision support system

Joachim HansenGeorges SchutzFrancesc Hernández-sanchoAlex CornelissenDario TorregrossaT. Popov

subject

Decision support systemEngineeringRenewable Energy Sustainability and the Environmentbusiness.industry020209 energyStrategy and Management02 engineering and technologyEnergy consumptionBenchmarking010501 environmental sciencesEnvironmental economics01 natural sciencesIndustrial and Manufacturing EngineeringPlant efficiency0202 electrical engineering electronic engineering information engineeringOperations managementPerformance indicatorScenario analysisbusinessInefficiency0105 earth and related environmental sciencesGeneral Environmental ScienceEfficient energy use

description

Abstract In Europe, the analysis of Waste Water Treatment Plants (WWTPs) shows a significant energy efficiency potential (up to 25%). Optimistically, plant managers assess their plant efficiency once or twice per year. Consequently, the time gap between an inefficiency and its detection produces avoidable operational costs. Although the installation of multiple on-line sensors can provide detailed energy information, for a human operator it is unrealistic to analyse the produced data in a satisfactory time-scale. This paper proposes a cooperative tool for energy saving that remotely accesses and evaluates WWTP databases to produce daily energy assessment reports. The novelty of this decision support tool lies in the original combination of: key performance indicators, daily benchmarking, expert knowledge, scenario analysis, fuzzy logic and shared knowledge. In this paper, the Shared Knowledge Decision Support System (SK-DSS) concept is presented and the methodology demonstrated and validated on the energy consumption of biological aeration systems.

yearjournalcountryeditionlanguage
2017-11-01Journal of Cleaner Production
https://doi.org/10.1016/j.jclepro.2017.08.181