Project 2: LIST, Wupperverband, University of Luxembourg, SIDEN – Energy Online System (EOS)
Until now, energy efficiency analyses have been done on a yearly basis to get an insight in the energy efficiency of wastewater treatment plants (WWTPs). Although useful data can be generated and energy efficiency improvements of 10-30% can be achieved, the disadvantage of such analyses is that they are normally based on historical, already outdated data. Furthermore, there is often a time delay before measures decided upon are implemented.
In INNERS, LIST, together with Wupperverband, SIDEN and the University of Luxembourg are developing a multi-criteria expert system for the real-time energy optimization of wastewater treatment plants. The system is called the Energy Online System (EOS). It will result in a continuous provision of energy consumption data of a WWTP.
To test whether the tool can improve the energy balance of a WWTP, investigations will be carried out on two municipal wastewater treatment plants, with different characteristics: Heischtergronn in Heiderscheidergrund (Luxembourg) and WWTP Burg in Solingen (Germany).
Energy report for operators of WWTPs
At the moment different (not comparable) benchmarking studies and benchmarking programmes exist in different countries of the European Union (Germany, Austria) and also on an EU wide scale. They are usually performed once a year and plant operators must normally pay for the participation. EOS enables an operator to perform a study specialized on energy efficiency and on-line. All they need to do is connect their plant to the system. A KPI based tool is implemented for easy validation of the plant data and for providing the operator with graphs and reports on a regular basis. The analyzed and statistically edited data will be provided to the operator in an energy report. A set of KPIs was developed for data analysis. The KPIs address different levels of plant operation: From a global point of view, treatment step specific point of view down to aggregate specific analysis. Apart from the classical benchmarking between plants EOS will focus on target- and best-practice values taken from literature. This enables the system to provide the operator with helpful information even at an early stage when only a few plants are connected to the system. EOS also enables plant operators to compare themselves to state of the art techniques. Those studies can be run on a regular basis.
Decision support system
The EOS is not meant to control a WWTP but acts as a supportive system which provides operators with helpful information to improve their plant’s energy efficiency. Once the data import process is defined for the plant this information will be generated automatically and without much effort of the staff. A Decision Support System (DSS), working as a knowledge based expert system, is combined with the benchmark and analysis tools to provide the operator with decision support. Based on the performance of the plant in the benchmark studies, the DSS identifies potentials for improvements and gives suggestions regarding energetic process optimization, cleaning and exchanging of aggregates. A set of common scenarios and rules is defined for this purpose.
- A definition of benchmarks for the evaluation of the current energy consumption.
- Insight in the performance of energy consumption at WWTPs, both on the short term and the long term.
- Insight in the energetic saving potential and possible reduction of related costs.
January 2011 – January 2015