4.5 Article

Benchmarking of large municipal wastewater treatment plants treating over 100,000 PE in Austria

Journal

WATER SCIENCE AND TECHNOLOGY
Volume 57, Issue 10, Pages 1487-1493

Publisher

I W A PUBLISHING
DOI: 10.2166/wst.2008.214

Keywords

cost efficiency optimisation; full scale results; performance indicators; process benchmarking; wastewater treatment

Ask authors/readers for more resources

During a six-year period the Austrian Benchmarking System was developed. The main objectives of this benchmarking system are the development of process indicators, identification of best performance and determination of cost reduction potentials. Since 2004 this system is operated via an internet platform and automated to a large extent. Every year twenty to thirty treatment plants use the web-based access to this benchmarking platform. The benchmarking procedure comprises data acquisition, data evaluation including reporting and organised exchange of experience for the treatment plant managers. The process benchmarking method links the real costs with four defined main processes and two support processes. For wastewater treatment plants with a design capacity > 100,000 PE these processes are further split up into sub-processes. For each (sub-) process the operating costs are attributed to six cost elements. The specific total yearly costs and the yearly operating costs of all (sub-) processes are related to the measured mean yearly pollution load of the plant expressed in population equivalents (PE110: 110 gCOD/d corresponding to 60 g BOD5/d)). The specific capital costs are related to the design capacity (PE). The paper shows the benchmarking results of 6 Austrian plants with a design capacity > 100,000 PE representing approximately 30% of the Austrian municipal wastewater treatment plant capacity.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available