Erbil city household water consumption data collection utilizing smart metering system

Abstract EN

Understanding water consumption patterns would offer a viable tool for sustainable development.

the accuracy and quality of the collected water consumption data would be vital for the prediction of future water supply demand and thus enabling the planning and development of relevant projects.

this paper presents a study of the different factors affecting household water consumption and the diverse methods used to collect and analyze water consumption data.

the per capita household water consumption is subject to many factors that include socio-economic aspects, household characteristics, number of occupants, seasonal temperature, humidity and others.

the paper also highlights water supply and demand issues related to erbil city and proposes a design for a household smart metering system that could provide high resolution data to compute the liter per capita.

a pilot plant is used to test and verify the designed system functionality and a complementary survey is suggested to provide more relevant data considering other factors.

this work represents an important preliminary step for more in depth analysis of water consumption patterns using artificial neural network models and fuzzy inference systems that would serve as tools for decision making