Call for Papers
Virtual* Thematic Issue on "Urban Water Demand Management"
Issue Editors: Andrea Castelletti, Dragan Savic, Rodney Stewart
EMS Editor: Andrea E. Rizzoli
Continued demographic growth, increasing urbanization, and development of mega-cities are boosting urban water demands and changing their spatio-temporal distribution. Demand-side management actions are key to secure water supply in the next decades, and complement more traditional supply-side management interventions, when limitations such as physical constraints, resources availability or increasing marginal costs hamper the effectiveness of infrastructure expansion.
* A Virtual Thematic (or Special) Issue (VTI) is a collection of articles that are published over a time span in different physical issues of the journal, but they are "virtually" kept together on the journal webpage, as seen here. The advantage for authors is that papers are are not being withheld until the very last paper has been revised. The advantage for the editors is that new contributions can also be linked to the VTI. This means that you are welcome to submit a paper for inclusion in the VTI even after the deadline for this call has expired!
The development of real-time metering technologies, smart grids, and their integration with big-data analytics, innovative ICT tools and economic instruments is advancing research and development of solutions to support demand management strategy design and deployment. These researches involve behavioural studies, as well as experimental trials, applications and software development, demand modelling and prediction with the goals of understanding typical water consumers' behavior and demand patterns, spotting opportunities for improving water demands efficiency, and ultimately improving our decision making capability on the design and implementation of economic and non-economic demand management actions, such as customized feedbacks for conservation or peak shifting, leakage detection, and appliance retrofitting.
This thematic issue of Environmental Modelling and Software focuses on the presentation of recent smart solutions, including smart economics tools, ICT-based solutions, serious games, supporting water demand management, as well as their assessment with respect to their potential or real large-scale contribution to water demand sustainability and efficiency.
We encourage contributions falling in on or more of the following categories:
- models, methods and software increasing capability of managing water demand and supply in quasi real-time and high spatial resolution;
- case studies exploring or proving the effectiveness of smart solutions to improve demand management, secure water supply in urbanized contexts, and increasing users' engagement and awareness;
- technological assessment of smart water technologies discussing technological, as well as economic and social opportunities and limitations for their large-scale development and market penetration.
The methodological approaches that may be used include (but are not limited to) big-data analytics, econometric modelling, water end-use disaggregation tools and Non-Intrusive Load Monitoring (NILM), multivariate statistics, web-based user engagement, serious games, Agent-Based Modelling (ABM), and other quantitative methods of data analysis, and qualitative methods.
- 31 December 2016: Deadline for short (up to 1,000 words) extended abstracts to be sent to the lead guest editor by email
- By 31 January 2017: Feedback on abstract, notification of invitation of a full paper submission
- 15 April 2017: Deadline for full paper submissions
- 30 August 2017: Deadline for the completion final paper reviews
- Fall 2017: Expected publication of the thematic issue
A sample of relevant EMS papers
A. Cominola, M. Giuliani, D. Piga, A. Castelletti, A.E. Rizzoli, Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review, Environmental Modelling & Software, Volume 72, October 2015, Pages 198-214, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2015.07.012.
Enrico Creaco, Panagiotis Kossieris, Lydia Vamvakeridou-Lyroudia, Christos Makropoulos, Zoran Kapelan, Dragan Savic, Parameterizing residential water demand pulse models through smart meter readings, Environmental Modelling & Software, Volume 80, June 2016, Pages 33-40, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2016.02.019.
Michele Romano, Zoran Kapelan, Adaptive water demand forecasting for near real-time management of smart water distribution systems, Environmental Modelling & Software, Volume 60, October 2014, Pages 265-276, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2014.06.016.
Ifigeneia Koutiva, Christos Makropoulos, Modelling domestic water demand: An agent based approach, Environmental Modelling & Software, Volume 79, May 2016, Pages 35-54, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2016.01.005.
O. Sahin, R.S. Siems, R.A. Stewart, Michael G. Porter, Paradigm shift to enhanced water supply planning through augmented grids, scarcity pricing and adaptive factory water: A system dynamics approach, Environmental Modelling & Software, Volume 75, January 2016, Pages 348-361, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2014.05.018.
K.A. Nguyen, R.A. Stewart, H. Zhang, An intelligent pattern recognition model to automate the categorisation of residential water end-use events, Environmental Modelling & Software, Volume 47, September 2013, Pages 108-127, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2013.05.002.
S.J. Kenway, A. Binks, J. Lane, P.A. Lant, K.L. Lam, A. Simms, A systemic framework and analysis of urban water energy, Environmental Modelling & Software, Volume 73, November 2015, Pages 272-285, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2015.08.009.