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I mproved W ater efficiency through I CT technologies for integrated supply- D emand side mana GE men T

I mproved W ater efficiency through I CT technologies for integrated supply- D emand side mana GE men T. The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013), under grant agreement no. 318272.

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I mproved W ater efficiency through I CT technologies for integrated supply- D emand side mana GE men T

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  1. Improved Water efficiency through ICT technologies for integrated supply-Demand side manaGEmenT The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013), under grant agreement no. 318272. This publication reflects only the author’s views and the European Union is not liable for any use that may he made of the information contained therein.

  2. Introduction • Collaborative, three year FP7 project (2012-2015) • Started Nov 2012 • Total budget €5M-EU grant €3.4M • The aim of iWIDGET is to advance knowledge and understanding about smart metering technologies • in order to develop novel, robust, practical and cost-effective methodologies and tools to manage urban water demand in households across Europe • by reducing wastage • by improving utility understanding of end-user demand, • and by reducing customer water and energy costs

  3. Introduction • The main scientific challenges for iWIDGET are: • management and extraction of useful information from vast amounts of high-resolution consumption data, • development of customised intervention and awareness campaigns to influence behavioural change, • the integration of iWIDGET concepts into a set of decision-support tools for water utilities and consumers, applicable in differing local conditions. Filename & Date (Century Gothic Bold 11p)

  4. Scientific Targets iWIDGET will investigate: • How best to provide the dynamic accurate measurement and data transfer of useful information about end-user water consumption • How best to use consumption data to improve the operation of utilities and influence end-users to modify their behaviour • How to arrive at the best business model to convert a promising technology into a useful and cost-effective product • How to demonstrate and validate the new methodologies on two case studies in Portugal (Aguas de Barcelos)and the UK (Southern Water)

  5. Consortium

  6. iWIDGET Characteristics as a project and as a team • iWIDGET (FP7) structured along future trends for international (EU ) projects and H2020: • Interdisciplinary approach – Working as a team • ICT experts (IBM, SAP) • Water engineers (UNEXE, NTUA, LNEC) • Business experts (SAP, UPL) • Psychologists/Social scientists (UNEXE, LNEC, Waterwise) • Dissemination/Standards experts (HRW)

  7. iWIDGET System Overview SS Data Water System Operation SS Analytics SS Operations SS GUI iWIDGET Database Utility Database HH Analytics HH Intervention HHGUI HHData HH Behaviour HH = Household; SS = Supply Side (Utility)

  8. The Need for Standards: • Integration of Utility Level and Customer Level Data • Software Integration with Utility Databases/Systems • Actively integration with water companies during the project • Developing business model as part of R&D • Acting as pilot project with wider European significance

  9. The Need for Standards: SSData Water System Operation SS Analytics SS Operations SS GUI iWIDGET Database Utility Database HH Analytics HH Intervention HHGUI HHData HH Behaviour HH = Household; SS = Supply Side (Utility)

  10. The Need for Standards: • Integration of Utility Level and Customer Level Data • Software Integration with Utility Databases/Systems • Actively integration with water companies during the project • Developing business model as part of R&D • Acting as pilot project with wider European significance • Communication between iWIDGETAnalytical Components • Components developed by separate project partners

  11. The Need for Standards: SSData Water System Operation SS Analytics SS Operations SS GUI iWIDGET Database Utility Database HH Analytics HH Intervention HHGUI HHData HH Behaviour HH = Household; SS = Supply Side (Utility)

  12. The Need for Standards: • Integration of Utility Level and Customer Level Data • Software Integration with Utility Databases/Systems • Actively integration with water companies during the project • Developing business model as part of R&D • Acting as pilot project with wider European significance • Communication between iWIDGETAnalytical Components • Components developed by separate project partners • Propose Enhancements to OpenMi or Development of Standards

  13. The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 318272. This publication reflects only the author’s views and the European Union is not liable for any use that may he made of the information contained therein.

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