IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Special sessions : Balancing water supply and demand under different demand management options: a water system perspect...
Balancing water supply and demand under different demand management options: a water system perspective
Water management authorities are equipped with tools for the daily operation and monitoring of the water supply
network (water suppliers) or the long-term management and allocation of water resources (water managers). The
contribution of ICT solutions for improving the efficiency of management is highly acknowledged, as these provide an
integrated framework for data management, water supply and demand management, and decision support. There are
several ICT platforms for metering, monitoring, and decision support on the basis of simulation models; however a great
challenge remains the balancing of water supply and demand on the basis of: (i) a better understanding of the water
demand pattern and its forecasting, and (ii) an analysis of the effects of water demand management instruments on the
various actors of the water supply chain (distributional effects).
The FP7 WatERP project contributes to this research area by adopting a ¡®water system¡¯ approach for analysing the
water supply chain and meeting water demand. A Tool for Demand Management Instruments (TDMI) is developed,
aiming at analysing the impacts that alternative instruments and measures may have on water demand. A three step
process is followed and involves: (i) the representation of the actors for water service provision (bulk supplier, water
service provider, consumer) and their relationships, (ii) long-term water demand forecasting using an end-use/unit use
model, and (iii) demand management instrument¡¯s assessment on the basis of different indicators (water saving
potential, affordability & cost recovery). The whole process is supported by an ontology-driven knowledge base and a
database which hosts different types of data (spatial and time-series data). The TDMI is applied and tested successfully
in the Ter-Llobregat water system, Barcelona, Spain
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Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Special sessions
Date Published : 28/08/2015
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