Code: EDI-2019-21-EMASESA_2

Domain: Energy & Environment

Summary

Establish a demand management system and analysis of the evolution of consumption in its different uses to speed up the detection of deviations and hasten and focus decision making

Proposed by

 

EMASESA, the Seville water supply and sanitation company, started its activity on the 23rd October 1974 when it was established by the Council of Seville as a municipal company, the company’s name changed to Metropolitan on 8th May 2007.
It manages the direct supply of drinking water in Seville and the towns of Camas, Dos Hermanas, Alcalá de Guadaíra, Mairena de Alcor, San Juan de Aznalfarache, Coria del Río, La Puebla del Río, Alcalá del Río, La Rinconada, El Garrobo y El Ronquillo. It also supplies raw water, untreated, to 26 towns located in the Seville area of Aljarafe and to Guillena-Las Pajanosas.
It is also responsible for the public service of sewage system and purification in Seville, Alcalá de Guadaíra, Camas, La Rinconada, San Juan de Aznalfarache, Coria del Río, La Puebla del Río, Alcalá del Río, Mairena del Alcor, Dos Hermanas and El Ronquillo.

Description

Spain suffers a cyclical alternation of dry and wet periods, during the last 50 years, its consequences had special incidence in Andalusia, mainly in the Mediterranean area. The last significant drought registered began in 2005 (until 2008) and forced the adoption of restrictive measures.
To have a demand management system based on EMASESA’s level of management and adapted to it will allow anticipated decision making and minimize the consequences that periods of resource scarcity have on the life quality of people, commerce, industry and services. This management system must be feeder with updated data, in order to have the most recent information at all times

 

Data

The challenge has the following sample datasets available for download

Expected outcomes

Establish a demand management system and analysis of the evolution of consumption in its different uses to speed up the detection of deviations and hasten and focus decision making. With this knowledge, it would be possible to:

  • Estimate the consumed volumes and optimize operations management
  • Estimate the economic income based on the volume of expected consumption.
  • Establish consumption patterns
  • Detect increments of consumption in certain uses allowing to take preventive measures.
  • Complement the determination of the apparent losses of the system.
  • Establish a demand prediction system.

How do we apply?

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