Logo eprints

Benefits and challenges of using smart meters for advancing residential water demand modeling and management: a review

Cominola, Andrea and Giuliani, Matteo and Piga, Dario and Castelletti, Andrea and Rizzoli, Andrea Emilio Benefits and challenges of using smart meters for advancing residential water demand modeling and management: a review. Environmental Modelling & Software, 72. pp. 198-214. ISSN 1364-8152 (2015)

[img]
Preview
PDF - Submitted Version
Available under License Creative Commons Attribution Non-commercial.

Download (308kB) | Preview

Abstract

Over the last two decades, water smart metering programs have been launched in a number of medium to large cities worldwide to nearly continuously monitor water consumption at the single household level. The availability of data at such very high spatial and temporal resolution advanced the ability in characterizing, modeling, and, ultimately, designing user-oriented residential water demand management strategies. Research to date has been focusing on one or more of these aspects but with limited integration between the specialized methodologies developed so far. This manuscript is the first comprehensive review of the literature in this quickly evolving water research domain. The paper contributes a general framework for the classification of residential water demand modeling studies, which allows revising consolidated approaches, describing emerging trends, and identifying potential future developments. In particular, the future challenges posed by growing population demands, constrained sources of water supply and climate change impacts are expected to require more and more integrated procedures for effectively supporting residential water demand modeling and management in several countries across the world.

Item Type: Article
Identification Number: 10.1016/j.envsoft.2015.07.012
Uncontrolled Keywords: Smart meter, Residential water management, Water demand modeling, Water conservation.
Subjects: T Technology > T Technology (General)
Research Area: Computer Science and Applications
Depositing User: Dario Piga
Date Deposited: 26 Oct 2015 12:20
Last Modified: 29 Oct 2015 14:19
URI: http://eprints.imtlucca.it/id/eprint/2782

Actions (login required)

Edit Item Edit Item