Applying Computational Intelligence to Wastewater Treatment Performance Evaluation in the Case of Refineries

The intelligent wastewater treatment solutions proposed by academic research and companies for the power industry are based on various pure technical methods (e.g. chemical, physical, biological, automatic control), and some artificial intelligence based approaches. The new environmental legislation sets and the potential renewable source of energy that can be provided by wastewater, are the current challenges for raising the industrial wastewater treatment efficiency. In this context, it is important to provide a competent evaluation of the wastewater treatment performance, based on knowledge derived from the evolution of the monitored parameters. The paper presents a case study of using computational intelligence to wastewater treatment performance evaluation in the case of petroleum refineries.