Trends in the Water Industry

Transcription

1 Cologne University of Applied Sciences - CUAS Trends in the Water Industry Prof. Dr. Michael Bongards Cologne University of Applied Sciences - CUAS Gummersbach Germany michael.bongards@fh-koeln.de URL: 1

2 Cologne University of Applied Sciences - CUAS Our University - CUAS Water challenge Water, Food and Energy nexus Water Losses as Water Source Trends in Automation From Big Data to Smart Data Outlook Future of Automation 2

3 Cologne University of Applied Sciences - CUAS CUAS - Facts and Figures students graduates per year 11 faculties 80 courses of study employees, thereof 420 professors Budget: 130 million Third-party and research funds: 11 million > 220 partner institutions for student exchange programs and research cooperations 3

4 GECO C research activities Gummersbach Environmental Computing Center Wastewater Treatment Plants and Sewer Systems Fermentation Plants Biogas production :metabolon landfill site - Waste to Energy conversion 4

5 Water challenge Water is a rare good: CAGR Compound Annual Growth Rate IFPRI International Food Policy Research Institute The 2030 Water Resources Group / (2010)

6 Water challenge The 2030 Water Resources Group / (2009)

7 Water challenge in Turkey Water ressources in Turkey: Turkey is not a rich country in terms of existing water potential. General Directorate of State Hydraulic Works - DSI

8 Water & Energy nexus Source: Water, Energy and Climate Change: A Contribution from the Business Community. World Business Council for Sustainable Development

9 Water, Food & Energy nexus World Economic Forum Global Risk Report

10 Megacities are growing fast. Daily growth rate in Istanbul in 2010: 925 inhabitants (2014) de.wikipedia.org/wiki/istanbul

11 Water Losses EPA 816-D November 2009 United States Environmental Protection Agency

12 Water Losses - A Water Source Revenue Water is water that is consumed and for which the utility receives payment. Revenue water includes metered and un-metered billed authorized consumption. Non-Revenue Water (NRW) is water that is not billed and no payment is received. It can be either authorized, unauthorized or result from a water loss. IWA water balance table Water Loss Control: IWA/AWWA Water Audit Method - American Water Works Association (2012)

13 Water Losses - A Water Source UFW: Unaccounted-for water = net production legitimate consumption Sharma, S. (2008) Performance Indicators of Water Losses in Distribution System, Delft, Netherlands

14 Water Losses - A Water Source Sharma, S. (2008) Performance Indicators of Water Losses in Distribution System, Delft, Netherlands

15 Water Losses - A Water Source Sharma, S. (2008) Performance Indicators of Water Losses in Distribution System, Delft, Netherlands

16 Water Losses - A Water Source Why is Nuremberg (Nürnberg) so good? - Well qualified workers - Large investments in infrastructure over decades - Continuous maintenance and improvement - High level automation including gapless sensor network Modern technologies make it possible to achieve this level of quality.

17 Trends in Automation Internet of Things

18 Trends in Automation Technologies, that will decide about Germany's wealth: Nr. 1 2 Internet of Things M2M-Communication Automation of knowledge work Generating intelligence from data Increase of Gross domestic product until ,8 % + 4,4 % Wirtschaftswoche 20 vom ; S. 63

19 Trends in Automation Smart grids for water and energy Increasing efficiency of staff Continuous monitoring of water networks Logistics of maintenance in water networks

20 Trends in Automation Wireless sensor networks

21 Trends in Automation for Environment Control Smart roads Smart lightning Noise urban maps Air pollution control Fire detection Waste management Structural health monitoring Water quality Water leakages

22 From Big Data to Smart Data

23 Computational Intelligence Computational Intelligence

24 From Big Data to Smart Data Data mining in a control and optimization cycle

25 From Big Data to Smart Data Improving water quality: -Optimal operation of water wells -Control of water treatment -Optimal sensor positioning -Leakage detection -Reduction of operational costs -Saving energy

26 From Big Data to Smart Data

27 Outlook Future of Automation Outlook - 1: Water problems are virulent. Water losses are wasting ressources and energy. Reducing water losses is a valuable source for water. M2M offers new automation chances. CI and Data Mining are tools to handle Big Data. 27

28 Automation is innovating rapidly! Outlook - 2: Moore s law: Computer-systems double their performance every 18 months. What will be the increase of performance in 15 years? G. E. Moore: Cramming more components onto integrated circuits. In: Electronics. 38, Nr. 8, 1965, S

29 Thank you for your attention! Website: Prof. Dr. Michael Bongards