The document discusses insights from the SmartH2O project on raising public awareness and providing feedback to induce behavior change related to water consumption. It outlines two main challenges of how to present consumption information to users and motivate them to change behavior. It then describes the SmartH2O approach which includes a consumer portal with gamification elements, consumption feedback, tips, goals and rewards to engage users. Initial results from a validation study in Spain show positive user acceptance of the technology and motivation from gamification. Analysis of user activity levels and consumption data also provide early signs that the approach may help influence behaviors.
Visualizing & gamifying water & energy consumption for behavior changeIsabel Micheel
Micheel, I., Novak, J., Fraternali, P., Baroffio, G., Castelletti, A., and Rizzoli, A.-E., "Visualizing & gamifying water & energy consumption for behavior change". Paper presentation at Fostering Smart Energy Applications (FSEA) 2015 workshop at Interact2015. Bamberg, 15 Sep 2015. Workshop proceedings available here: http://it4se.informatik.fh-augsburg.de/FSEA15/proceedings.html
The paper presented in the slides considers the structural similarities in approaches and lessons learned in the development of applications for behavior change in water and energy saving. We show how the domains of water and energy are related and propose a first set of design guidelines for building such solutions, especially regarding visualization and gamification of water and/or energy consumption. We exemplify how such guidelines can be applied with the designs and prototypes of a gamified application for water saving behavior change from our SmartH2O project. Based on feedback from user and stakeholder workshops and online discussions, we discuss how the initial design guidelines synthesized from the literature have been refined. In a next step, we will validate them by deploying the implemented prototype in real- world trials with several thousand smart-metered households in the UK, Switzerland and Spain.
The work presented has come out of the SmartH2O project: EU FP7, No. 619172, 2014-2017. smarth2o- fp7.eu/
The SmartH2O project receives EU funding to develop technology for improving water efficiency through new business partnerships between water utilities and customers. The project aims to turn smart meter water consumption data into a business intelligence tool to help utilities predict demand, optimize operations, and foster sustainable customer behavior. The technology includes a gamified consumer portal, data analytics for customer segmentation and behavioral change, and serious games for customer engagement. The system has been in alpha testing and will be deployed in London, Valencia, and other locations in 2016-2017.
The SmartH2O project and the role of social computing in promoting efficient ...SmartH2O
The document discusses the SmartH2O project which aims to promote efficient residential water use through social computing. The project seeks to understand current water consumer behavior using smart meter data, incorporate behavioral data from a smart app, and create user models. It then aims to raise social awareness of water conservation through social networks and dynamic pricing schemes. A key objective is to stimulate collective behavior changes and social influences on water usage. The role of persuasive games in influencing consumer behavior is also discussed.
Smart metering, water pricing and social media to stimulate residential water...SmartH2O
The document discusses the SmartH2O project which aims to stimulate residential water efficiency through smart metering, water pricing, and social media. The project will understand current water consumption behaviors, predict how behaviors can be influenced by social awareness campaigns, dynamic water prices, and then raise consumer awareness of their habits to encourage water reduction. Smart meters will measure the impact of different policies on consumption while social networks, feedback apps, and competitive pricing schemes will engage consumers to conserve water. The project will test these approaches through case studies in the UK and Switzerland.
Data-driven behavioural modelling of residential water consumption to inform ...SmartH2O
This document summarizes a review of 134 studies from the past 25 years on modeling residential water consumption and informing water demand management strategies. The studies analyzed how smart meter technology, which provides near-continuous water usage data at high spatial and temporal resolution, has advanced the ability to characterize, model and design user-oriented strategies. While previous research focused on specific aspects, there was limited integration of specialized methodologies; the review provides a framework to classify residential water demand modeling studies and identify trends and future opportunities. Growing populations, constrained water supplies and climate change will require more integrated procedures to effectively support modeling and management across many countries.
presentation at European Utility Week, Vienna, Nov. 2015Piero Fraternali
This document discusses using smart water meter data and analytics to improve demand management and customer relationships for water utilities. It describes collecting high frequency consumption data from smart meters, analyzing the data to classify customers and detect usage patterns, and developing a consumer portal with personalized tips, goals, comparisons to peers, and games to motivate more efficient water use. The system is currently being piloted with 400 households in Switzerland and will be deployed in London and Valencia in upcoming years.
Australia with a Drying Climate - Sustainable urban water management. By what...SmartH2O
The document discusses sustainable urban water management strategies for Perth, Western Australia as the region experiences drying climate conditions and declining rainfall. It outlines three levels of strategies: 1) behavioral change programs like H2omesmart, 2) improved efficiency standards for appliances, and 3) new technologies such as decentralized seawater desalination plants and dual reticulation systems. Case studies on these initiatives show potential for significant water savings through community-based social marketing, more efficient devices, and alternative water sources. Future research is proposed on developing new urban villages with integrated water recycling and renewable energy systems.
Visualizing & gamifying water & energy consumption for behavior changeIsabel Micheel
Micheel, I., Novak, J., Fraternali, P., Baroffio, G., Castelletti, A., and Rizzoli, A.-E., "Visualizing & gamifying water & energy consumption for behavior change". Paper presentation at Fostering Smart Energy Applications (FSEA) 2015 workshop at Interact2015. Bamberg, 15 Sep 2015. Workshop proceedings available here: http://it4se.informatik.fh-augsburg.de/FSEA15/proceedings.html
The paper presented in the slides considers the structural similarities in approaches and lessons learned in the development of applications for behavior change in water and energy saving. We show how the domains of water and energy are related and propose a first set of design guidelines for building such solutions, especially regarding visualization and gamification of water and/or energy consumption. We exemplify how such guidelines can be applied with the designs and prototypes of a gamified application for water saving behavior change from our SmartH2O project. Based on feedback from user and stakeholder workshops and online discussions, we discuss how the initial design guidelines synthesized from the literature have been refined. In a next step, we will validate them by deploying the implemented prototype in real- world trials with several thousand smart-metered households in the UK, Switzerland and Spain.
The work presented has come out of the SmartH2O project: EU FP7, No. 619172, 2014-2017. smarth2o- fp7.eu/
The SmartH2O project receives EU funding to develop technology for improving water efficiency through new business partnerships between water utilities and customers. The project aims to turn smart meter water consumption data into a business intelligence tool to help utilities predict demand, optimize operations, and foster sustainable customer behavior. The technology includes a gamified consumer portal, data analytics for customer segmentation and behavioral change, and serious games for customer engagement. The system has been in alpha testing and will be deployed in London, Valencia, and other locations in 2016-2017.
The SmartH2O project and the role of social computing in promoting efficient ...SmartH2O
The document discusses the SmartH2O project which aims to promote efficient residential water use through social computing. The project seeks to understand current water consumer behavior using smart meter data, incorporate behavioral data from a smart app, and create user models. It then aims to raise social awareness of water conservation through social networks and dynamic pricing schemes. A key objective is to stimulate collective behavior changes and social influences on water usage. The role of persuasive games in influencing consumer behavior is also discussed.
Smart metering, water pricing and social media to stimulate residential water...SmartH2O
The document discusses the SmartH2O project which aims to stimulate residential water efficiency through smart metering, water pricing, and social media. The project will understand current water consumption behaviors, predict how behaviors can be influenced by social awareness campaigns, dynamic water prices, and then raise consumer awareness of their habits to encourage water reduction. Smart meters will measure the impact of different policies on consumption while social networks, feedback apps, and competitive pricing schemes will engage consumers to conserve water. The project will test these approaches through case studies in the UK and Switzerland.
Data-driven behavioural modelling of residential water consumption to inform ...SmartH2O
This document summarizes a review of 134 studies from the past 25 years on modeling residential water consumption and informing water demand management strategies. The studies analyzed how smart meter technology, which provides near-continuous water usage data at high spatial and temporal resolution, has advanced the ability to characterize, model and design user-oriented strategies. While previous research focused on specific aspects, there was limited integration of specialized methodologies; the review provides a framework to classify residential water demand modeling studies and identify trends and future opportunities. Growing populations, constrained water supplies and climate change will require more integrated procedures to effectively support modeling and management across many countries.
presentation at European Utility Week, Vienna, Nov. 2015Piero Fraternali
This document discusses using smart water meter data and analytics to improve demand management and customer relationships for water utilities. It describes collecting high frequency consumption data from smart meters, analyzing the data to classify customers and detect usage patterns, and developing a consumer portal with personalized tips, goals, comparisons to peers, and games to motivate more efficient water use. The system is currently being piloted with 400 households in Switzerland and will be deployed in London and Valencia in upcoming years.
Australia with a Drying Climate - Sustainable urban water management. By what...SmartH2O
The document discusses sustainable urban water management strategies for Perth, Western Australia as the region experiences drying climate conditions and declining rainfall. It outlines three levels of strategies: 1) behavioral change programs like H2omesmart, 2) improved efficiency standards for appliances, and 3) new technologies such as decentralized seawater desalination plants and dual reticulation systems. Case studies on these initiatives show potential for significant water savings through community-based social marketing, more efficient devices, and alternative water sources. Future research is proposed on developing new urban villages with integrated water recycling and renewable energy systems.
Water projects, case studies and experiencesSmartH2O
This document discusses water demand management strategies used by large water utilities. It focuses on London's water supply utility which serves 15 million customers. Key strategies discussed include demand management through technological, financial, legislative, operational and educational approaches. The document also discusses including user modeling and monitoring of water consumption at the individual consumer level to help forecast future water demand. Machine learning techniques like feature extraction, user profiling and clustering are explored to predict consumer water usage based on relevant determinants.
Developing a stochastic simulation model for the generation of residential wa...SmartH2O
This document reviews literature on using smart water meters to model and manage residential water demand. It discusses how smart meter data collected at high temporal and spatial resolution has advanced the ability to characterize, model, and design water conservation strategies. However, research thus far has focused on these aspects separately without much integration. The review provides a framework to classify water demand modeling studies and identifies trends and future challenges, such as supporting more integrated modeling and management approaches to address growing populations, limited water resources, and climate change impacts across many countries.
This document summarizes a review of 134 studies from the past 25 years on modeling residential water consumption and informing water demand management strategies. The studies analyzed how smart meter technology, which provides near-continuous water usage data at single households, has advanced the ability to characterize, model and design user-oriented water conservation strategies. While previous research focused on specific aspects, there is limited integration of specialized methodologies. Growing populations, constrained water supplies and climate change will require more integrated procedures to effectively support residential water demand modeling and management worldwide.
Gamification techniques can be used to encourage water conservation behaviors. The SmartH2O project applied gamification by developing a portal with points, badges, leaderboards and mobile games linked to household water usage data. Initial results from pilot tests in Switzerland and Spain found that gamification and social comparison features helped raise awareness of water consumption and motivated some users to reduce usage. However, gamification approaches may be more effective for some user types and contexts than others. Further evaluation is needed to fully understand the impacts of gamification on long-term water conservation.
ICT solutions for highly-customized water demand management strategiesSmartH2O
1) Smart metering technologies and big data analytics can help water utilities better understand residential water usage patterns and identify different consumption profiles.
2) Gamification approaches, like the SmartH2O project's "DropTheQuestion" app, show potential for inducing behavioral change and reducing household water consumption. Preliminary results from SmartH2O indicate water savings of 10% on average.
3) Further analysis of smart meter data from over 11,000 households in Valencia, Spain identified common daily, weekly, and hourly water usage patterns and helped classify households into consumption categories from very high to low users.
Smart metering technologies allow for gathering high resolution water demand data in the residential sector, opening up new opportunities for the development of models describing water consumers’ behaviors. Yet, gathering such accurate water demand data at the end-use level is limited by metering intrusiveness, costs, and privacy issues. In this paper, we contribute a stochastic simulation model for synthetically generating high-resolution time series of water use at the end-use level. Each water end-use fixture in our model is characterized by its signature (i.e., its typical single-use pattern), as well as frequency distributions of its number of uses per day, single use duration, time of use during the day, and contribution to the total household water demand. The model relies on statistical data from a real-world metering campaign across 9 cities in the US. Showcasing our model outputs, we demonstrate the potential usability of this model for characterizing the water end-use demands of different communities, as well as for analyzing the major components of peak demand and performing scenario analysis.
Ergebnisse aus dem SmartH2O Projekt: Kundensensibilisierung mit spielerischen...SmartH2O
1) The SmartH2O project aims to increase water consumer awareness and encourage water savings through gamified smart meter applications and incentives.
2) Initial results from a pilot with 400,000 smart meters in Valencia, Spain found that water consumption decreased for 66% of users, with an average reduction of 6.5%.
3) User feedback indicated that the gamification elements like points, badges, tips, and comparisons to others were motivating. Ongoing communication will be needed to sustain user engagement over time.
Behaviour change and incentive modelling for water saving: first results fr...SmartH2O
1) The document describes a behavior change and incentive model called SmartH2O that was developed to motivate households to save water through smart meter feedback, consumption visualizations, gamification, and rewards.
2) Preliminary results from a pilot study in Switzerland showed an average water consumption reduction of 33.8% among participants, with the highest reductions in low and medium-high consumption households. Technology acceptance results were also positive.
3) Gamification elements like badges and leaderboards showed promising early engagement from lead users, though the full impact of gamification still needs to be evaluated further. A larger validation study is planned for about 500,000 households in Valencia.
PROFILING RESIDENTIAL WATER USERS’ ROUTINES BY EIGENBEHAVIOR MODELLINGSmartH2O
This document proposes a method of segmenting residential water users into clusters based on their daily water usage routines, or eigenbehaviors, extracted from smart meter data. It involves extracting the eigenbehaviors of individual users through principal component analysis to characterize their typical daily usage patterns. The users are then clustered based on their eigenbehavior profiles. Finally, the clusters are characterized to inform demand management strategies for reducing water consumption. The method is demonstrated on a case study of 175 water users in Locarno, Switzerland monitored over 7 months with hourly smart meter data.
The document summarizes research on integrated water management of the Red-Thai Binh river system in Vietnam under changing conditions. The researchers used optimization methods to design reservoir operating policies that balance multiple objectives like hydropower production, flood control, and water supply. Climate change assessments showed vulnerabilities are amplified by operations and depend on uncertain future scenarios. Further research will introduce socio-economic factors and robust optimization to support adaptation strategy design.
Smart Water and Wastewater Management For Smart Cities - Mr. Anjum ParwezIPPAI
The document discusses smart water and wastewater management in Indian cities. It provides data on water availability, sources of drinking water, wastewater treatment, and initiatives to improve services in various cities. It highlights challenges like inadequate and inequitable water supply, high non-revenue water, and lack of sewerage infrastructure. Recent initiatives by organizations like BWSSB and under programs like AMRUT and JnNURM aim to ensure regular water supply, reduce losses, recycle wastewater, and improve cost recovery through measures like metering and tariffs. Public-private partnerships are also being used to enhance water and sanitation services in cities.
How knowledge creation in water utilities can boost innovation in the sectorEIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 6 “Financing innovation in the water sector”
Smart water - a key building block for the smart cityEIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 8a “Water and the circular economy, part 3 – cities and water”
Curving the line to accelerated resource recovery: the Life Memory, INCOVER a...EIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 5 “Water and the circular economy, part 2 - agriculture”
Urban water governance capacity frameworkEIP Water
Stef Koop presented on an urban water governance capacity framework. The framework assesses the capacity of institutions in cities to solve common water challenges through dimensions like knowledge, monitoring, stakeholder inclusion, and financial considerations. It involves studying literature, interviewing stakeholders, and determining scores for indicators within the dimensions. The framework has been applied to cities around the world to develop "city blueprints" identifying governance strengths and weaknesses. Conclusions emphasize that while technology is important, good governance and citizen involvement are also key to developing intelligent, green, and healthy cities. The presentation aims to improve cities' implementation capacities for water services by sharing best practices.
Water Conservation in Galway City & WaternomicsWaternomics
This is a presentation made by Elizabeth Fanning from Galway City Council at the Waternomics final event on 31/01/2017 for sharing Galway city water conservation plan and annoucing the Green leaf award 2017
City Blueprints update & approach February 2016EIP Water
The document discusses trends and challenges facing urban water management, including increasing urbanization, water scarcity, and climate change impacts. It summarizes initiatives to help cities improve their water services and infrastructure through sharing best practices, including the European Innovation Partnership on Water's City Blueprint program, BlueSCities, and Netwerc h2o. The document emphasizes that transitioning cities to be more water-wise requires greater financial support and more proactive rather than reactive approaches to issues.
A convex optimization approach for automated water and energy end use disaggr...SmartH2O
This document presents a convex optimization approach for automated disaggregation of water consumption data into end uses. It proposes modeling each end use as having finite operating modes and piecewise constant consumption profiles. A sparse optimization problem is formulated to minimize the fitting error between modeled and measured consumption, regularized by an L1-norm penalty to promote sparsity. Tests on electricity and water consumption data show the approach can accurately disaggregate consumption into end uses like toilet flushes and showers. Future work includes refinements to handle lower resolution data and tailored numerical solvers.
Water projects, case studies and experiencesSmartH2O
This document discusses water demand management strategies used by large water utilities. It focuses on London's water supply utility which serves 15 million customers. Key strategies discussed include demand management through technological, financial, legislative, operational and educational approaches. The document also discusses including user modeling and monitoring of water consumption at the individual consumer level to help forecast future water demand. Machine learning techniques like feature extraction, user profiling and clustering are explored to predict consumer water usage based on relevant determinants.
Developing a stochastic simulation model for the generation of residential wa...SmartH2O
This document reviews literature on using smart water meters to model and manage residential water demand. It discusses how smart meter data collected at high temporal and spatial resolution has advanced the ability to characterize, model, and design water conservation strategies. However, research thus far has focused on these aspects separately without much integration. The review provides a framework to classify water demand modeling studies and identifies trends and future challenges, such as supporting more integrated modeling and management approaches to address growing populations, limited water resources, and climate change impacts across many countries.
This document summarizes a review of 134 studies from the past 25 years on modeling residential water consumption and informing water demand management strategies. The studies analyzed how smart meter technology, which provides near-continuous water usage data at single households, has advanced the ability to characterize, model and design user-oriented water conservation strategies. While previous research focused on specific aspects, there is limited integration of specialized methodologies. Growing populations, constrained water supplies and climate change will require more integrated procedures to effectively support residential water demand modeling and management worldwide.
Gamification techniques can be used to encourage water conservation behaviors. The SmartH2O project applied gamification by developing a portal with points, badges, leaderboards and mobile games linked to household water usage data. Initial results from pilot tests in Switzerland and Spain found that gamification and social comparison features helped raise awareness of water consumption and motivated some users to reduce usage. However, gamification approaches may be more effective for some user types and contexts than others. Further evaluation is needed to fully understand the impacts of gamification on long-term water conservation.
ICT solutions for highly-customized water demand management strategiesSmartH2O
1) Smart metering technologies and big data analytics can help water utilities better understand residential water usage patterns and identify different consumption profiles.
2) Gamification approaches, like the SmartH2O project's "DropTheQuestion" app, show potential for inducing behavioral change and reducing household water consumption. Preliminary results from SmartH2O indicate water savings of 10% on average.
3) Further analysis of smart meter data from over 11,000 households in Valencia, Spain identified common daily, weekly, and hourly water usage patterns and helped classify households into consumption categories from very high to low users.
Smart metering technologies allow for gathering high resolution water demand data in the residential sector, opening up new opportunities for the development of models describing water consumers’ behaviors. Yet, gathering such accurate water demand data at the end-use level is limited by metering intrusiveness, costs, and privacy issues. In this paper, we contribute a stochastic simulation model for synthetically generating high-resolution time series of water use at the end-use level. Each water end-use fixture in our model is characterized by its signature (i.e., its typical single-use pattern), as well as frequency distributions of its number of uses per day, single use duration, time of use during the day, and contribution to the total household water demand. The model relies on statistical data from a real-world metering campaign across 9 cities in the US. Showcasing our model outputs, we demonstrate the potential usability of this model for characterizing the water end-use demands of different communities, as well as for analyzing the major components of peak demand and performing scenario analysis.
Ergebnisse aus dem SmartH2O Projekt: Kundensensibilisierung mit spielerischen...SmartH2O
1) The SmartH2O project aims to increase water consumer awareness and encourage water savings through gamified smart meter applications and incentives.
2) Initial results from a pilot with 400,000 smart meters in Valencia, Spain found that water consumption decreased for 66% of users, with an average reduction of 6.5%.
3) User feedback indicated that the gamification elements like points, badges, tips, and comparisons to others were motivating. Ongoing communication will be needed to sustain user engagement over time.
Behaviour change and incentive modelling for water saving: first results fr...SmartH2O
1) The document describes a behavior change and incentive model called SmartH2O that was developed to motivate households to save water through smart meter feedback, consumption visualizations, gamification, and rewards.
2) Preliminary results from a pilot study in Switzerland showed an average water consumption reduction of 33.8% among participants, with the highest reductions in low and medium-high consumption households. Technology acceptance results were also positive.
3) Gamification elements like badges and leaderboards showed promising early engagement from lead users, though the full impact of gamification still needs to be evaluated further. A larger validation study is planned for about 500,000 households in Valencia.
PROFILING RESIDENTIAL WATER USERS’ ROUTINES BY EIGENBEHAVIOR MODELLINGSmartH2O
This document proposes a method of segmenting residential water users into clusters based on their daily water usage routines, or eigenbehaviors, extracted from smart meter data. It involves extracting the eigenbehaviors of individual users through principal component analysis to characterize their typical daily usage patterns. The users are then clustered based on their eigenbehavior profiles. Finally, the clusters are characterized to inform demand management strategies for reducing water consumption. The method is demonstrated on a case study of 175 water users in Locarno, Switzerland monitored over 7 months with hourly smart meter data.
The document summarizes research on integrated water management of the Red-Thai Binh river system in Vietnam under changing conditions. The researchers used optimization methods to design reservoir operating policies that balance multiple objectives like hydropower production, flood control, and water supply. Climate change assessments showed vulnerabilities are amplified by operations and depend on uncertain future scenarios. Further research will introduce socio-economic factors and robust optimization to support adaptation strategy design.
Smart Water and Wastewater Management For Smart Cities - Mr. Anjum ParwezIPPAI
The document discusses smart water and wastewater management in Indian cities. It provides data on water availability, sources of drinking water, wastewater treatment, and initiatives to improve services in various cities. It highlights challenges like inadequate and inequitable water supply, high non-revenue water, and lack of sewerage infrastructure. Recent initiatives by organizations like BWSSB and under programs like AMRUT and JnNURM aim to ensure regular water supply, reduce losses, recycle wastewater, and improve cost recovery through measures like metering and tariffs. Public-private partnerships are also being used to enhance water and sanitation services in cities.
How knowledge creation in water utilities can boost innovation in the sectorEIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 6 “Financing innovation in the water sector”
Smart water - a key building block for the smart cityEIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 8a “Water and the circular economy, part 3 – cities and water”
Curving the line to accelerated resource recovery: the Life Memory, INCOVER a...EIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 5 “Water and the circular economy, part 2 - agriculture”
Urban water governance capacity frameworkEIP Water
Stef Koop presented on an urban water governance capacity framework. The framework assesses the capacity of institutions in cities to solve common water challenges through dimensions like knowledge, monitoring, stakeholder inclusion, and financial considerations. It involves studying literature, interviewing stakeholders, and determining scores for indicators within the dimensions. The framework has been applied to cities around the world to develop "city blueprints" identifying governance strengths and weaknesses. Conclusions emphasize that while technology is important, good governance and citizen involvement are also key to developing intelligent, green, and healthy cities. The presentation aims to improve cities' implementation capacities for water services by sharing best practices.
Water Conservation in Galway City & WaternomicsWaternomics
This is a presentation made by Elizabeth Fanning from Galway City Council at the Waternomics final event on 31/01/2017 for sharing Galway city water conservation plan and annoucing the Green leaf award 2017
City Blueprints update & approach February 2016EIP Water
The document discusses trends and challenges facing urban water management, including increasing urbanization, water scarcity, and climate change impacts. It summarizes initiatives to help cities improve their water services and infrastructure through sharing best practices, including the European Innovation Partnership on Water's City Blueprint program, BlueSCities, and Netwerc h2o. The document emphasizes that transitioning cities to be more water-wise requires greater financial support and more proactive rather than reactive approaches to issues.
A convex optimization approach for automated water and energy end use disaggr...SmartH2O
This document presents a convex optimization approach for automated disaggregation of water consumption data into end uses. It proposes modeling each end use as having finite operating modes and piecewise constant consumption profiles. A sparse optimization problem is formulated to minimize the fitting error between modeled and measured consumption, regularized by an L1-norm penalty to promote sparsity. Tests on electricity and water consumption data show the approach can accurately disaggregate consumption into end uses like toilet flushes and showers. Future work includes refinements to handle lower resolution data and tailored numerical solvers.
From Smart Water Meters to Demand and Customer Relationship ManagementSmartH2O
This document discusses using smart water meter data and analytics to improve demand management and customer relationships for water utilities. It describes collecting high frequency consumption data from smart meters, analyzing the data to classify customers and detect usage patterns, and developing a consumer portal with personalized tips, goals, comparisons to peers, and games to motivate more efficient water use. The system is currently being piloted with 400 households in Switzerland and will be deployed in London and Valencia in future years.
Persuasive games - concept, state of the art and issues on sustainability app...SmartH2O
This document discusses persuasive games and related concepts like serious games, gamification, and pervasive games. It summarizes several studies on persuasive games for sustainability and environmental issues. Key open problems discussed are how to treat and ensure privacy of massive data collected from players, and how to design games to guarantee long-term behavior change rather than just short-term effects. Retention techniques like casual gameplay, small investments, and frequent rewards are proposed to encourage long-term engagement.
This document discusses Alvarion's smart city wireless solutions for municipal and public safety applications. It provides an overview of Alvarion's global presence and deployments. Examples are given of wireless video surveillance and traffic management systems deployed in various cities using Alvarion's wireless broadband solutions. Key benefits highlighted include robust and high capacity connectivity, flexibility, scalability and support for mobile applications.
El documento presenta los presupuestos de inversión para el año 2017 de diferentes áreas y distritos municipales. Se detallan partidas presupuestarias para obras, reposición de mobiliario, mejoras en colegios, parques, alumbrado público, adquisición de vehículos y maquinaria, entre otros conceptos. El presupuesto total asciende a varios millones de euros distribuidos entre las diferentes áreas como cultura, servicios operativos, distritos y medios ambientes.
enCompass and SmartH20: presentation at EUSEW 2018encompassH2020
The SmartH2O project aimed to raise awareness of water conservation through a digital platform. The platform collected household water consumption data, performed analytics to detect patterns, and engaged users through feedback, recommendations, and rewards. A pilot in Switzerland involved 400 households and saw a 4% reduction in water use among participants compared to a 18% increase among non-participants. The platform notified users through emails and mobile apps to encourage continued participation.
Visualizing & gamifying water & energy consumption for behavioral changeSmartH2O
This document discusses visualizing and gamifying water and energy consumption to encourage behavior change. It outlines two main challenges: increasing awareness of consumption and motivating consumers to change behavior. It then describes preliminary design guidelines developed from literature, including visualizing consumption comparisons and providing tips. User feedback on prototypes led to refining the guidelines. A large-scale pilot planned to test the approaches on 50,000+ households.
To resolve upcoming shortages in clean drinking water, Waternomics will explore technologies and methodologies needed to successfully reduce water consumption from households, companies and municipalities. Waternomics is a three year, EU-funded project that started in February 2014 and will evaluate its results in three real life experiments in Italy, Greece and Poland.
The document discusses how information and communication technologies (ICT) can help save energy through three main ways: 1) Enabling more energy efficient industrial processes through technologies like weather information for route planning. 2) Developing more energy efficient ICT devices themselves. 3) Raising awareness of energy usage through ambient intelligence and smart metering technologies which can provide feedback and flexibility in energy prices. The document estimates that 20-30% of energy savings are possible in households and offices through these approaches. It advocates for living lab methodologies to test new ICT and feedback systems in real-life contexts to better understand how to influence energy usage behaviors.
The team will cover the Current Status of the project (Rembrandt Koppelaar), Water Demands (Xiaonan Wang, Koen H. van Dam), Infrastructure construction (Rembrandt Koppelaar) and Toilet usage (Xiaonan Wang, Koen H. van Dam)
AUTOMATED LEAK DETECTION SYSTEM FOR THE IMPROVEMENT OF WATER NETWORK MANAGEMENTWaternomics
The need for an efficient Water Management System (WMS) is strongly felt by water utilities, municipalities and by medium to large scale corporates that have to face every day with problems dealing with water usage and supply [1]. Leveraging a sensor data network, an automated system to implement fault detection in a water network at an early stage can be a valuable tool that saves water, energy, time and money. This paper introduces a novel FDD (fault detection and diagnosis) approach for water networks developed within the FP7 Waternomics Project by modeling a water network in the simulation environment EPANET and applying an anomaly detection algorithm named ADWICE (Anomaly Detection With fast Incremental ClustEring) [2] to real time data of water flow and pressure to infer performance and operational anomalies. The method is currently being implemented at the Linate Airport water network in Milan, and initial results are presented in this paper.
City Data 3.0 Early Steps - Best Poster AGILE 2017Fernando Benitez
This poster shows the early steps of the initiative City Data 3.0 related to reuse and discoverability of available open data in cities. Using Data user and authorities of selected cities en Colombia and Spain this project is creating a generic strategy to assess and improve the reuse of open data in cities.
Waternomics Flyer - ICT for Water Resource ManagementWaternomics
This is the Waternomics flyer. It highlights the objective, approach and results for the project. Furthermore, it give a overview of the project and its pilots and partners.
OECD WGI Webinars: The new role of cities in urban water governance, Flanders...OECDregions
This document summarizes the key points of an OECD webinar on the new role of cities in urban water governance. The webinar featured presentations on water governance challenges and solutions in cities from Spain, Belgium, and Greece. The goal of the webinar was to share experiences in tackling water issues in cities, draw lessons to foster replicability, and discuss how to achieve better water governance outcomes through stakeholder engagement, capacity building, and mobilizing financial means. Better data and information were also discussed as ways to help adjust water governance frameworks to policy objectives.
Waternomics: Overview of the Pilots Objectives, Measures and OutcomesWaternomics
This is a presentation made by Louise Hannon at the Waternomics final event on 31/01/2017 for sharing an overview of the Pilots Objectives, Measures and Outcomes
Waternomics Methodology: A Standards based Methodology for the Implementation...Waternomics
This brochure shows the Waternomics methodology introduced as a standards based methodology for the implementation of water efficiency programs using smart water systems
Interactive Water Services: The Waternomics ApproachEdward Curry
The document describes the Waternomics project, which aims to introduce demand response and accountability principles in the water sector through interactive water services. The project will develop a water information platform and tools to provide personalized water consumption and availability data to households, companies and cities. It will implement pilots in Greece, Italy and Ireland to test applications like water dashboards, prediction tools, simulations and games to increase user awareness and encourage behavioral changes. The platform uses linked open data, Internet of Things sensors and semantic technologies to integrate scattered water data sources and address challenges of data interoperability across domains.
Interactive Water Services: The Waternomics Approach (WDSA 2014)Waternomics
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Public awareness and feedback – Insights from the SmartH2O project
1. Isabel Micheel | European Institute for Participatory Media, Berlin
Public awareness and feedback –
Insights from the SmartH2O project
2. University of Bremen | Aalborg University Copenhagen | Hasso-Plattner Institute Potsdam
2
Isabel Micheel | i.micheel@eipcm.org
Public awareness and feedback
Researcher in User-Centered Design
5. Two main challenges
• How to present consumption information and convey its
meaning to users?
increase awareness
• How to enable and motivate consumers to change their
consumption?
induce & sustain behavior change
Visualizing & gamifying water & energy consumption for behavior change FSEA 2015
visualization
actionable tips gamification
disaggregation
comparison
5
Public awareness and feedback
6. Grant agreement no.: 619172
http://www.smarth2o-fp7.eu/
@smartH2Oproject
Raising awareness to induce behaviour
change in the SmartH2O project
7. 7
Data
acquisi*on
(smart
meter)
Consump*on
data
repository
• Privacy
• Security
Engagement
&
Behavior
Change
• RecommendaAons
• Goals,
Achievements,
Rewards
Water
data
analy*cs
• End
use
disaggregaAon
• ConsumpAon
paJerns
detecAon
User
modeling
• Household
features
• Clustering
• Demand
predicAon
and
simulaAon
• Digital+real
games
• Personalized
Aps
Consumer
Portal
• Awareness
• Feedback
7
Public awareness and feedback
8. • User
needs
&
requirements
were
elicited
following
an
iteraAve
human-‐centered
design
approach
[ISO
13497
(ISO
1999)]
Requirements
specificaAon
User
pull
Technology
push
Formulating requirements
based on user needs and
technical feasibility
Identification / Validation of
requirements with end-users
Mapping user needs on
SmartH2O innovations
Sessions
with
technical
partners
Requirements
workshops
with
water
consumers
and
suppliers
Mockups
and
user
stories
explain
and
visualize
the
concept
Tegna,
CH
InteracAon
with
TWUL
in
Reading,
UK
Collecting user feedback to elicit requirements
9. Monitoring
sustain
behaviour
AcAon
change
behaviour
ContemplaAon
form
opinion
Pre-‐
contemplaAon
unaware
Changing
water
consump*on
behaviour
is
perceived
as
a
mul*stage
process
Different
stages,
different
needs,
different
incen*ves
Transtheore*cal
model
of
behavioural
change
(Prochaska
&
Di
Declemente,
1992)
Changing household water behaviour
Visualizing & gamifying water & energy consumption for behavior change FSEA 2015Public awareness and feedback
10. Water
consumpAon
feedback
AcAonable
Aps
AcAonable
Aps
Virtual,
social,
physical
rewards
Self-‐set
goals
Hybrid
online
and
card
games
Incentive model
Visualizing & gamifying water & energy consumption for behavior change FSEA 2015Public awareness and feedback
Monitoring
sustain
behaviour
AcAon
change
behaviour
ContemplaAon
form
opinion
Pre-‐
contemplaAon
unaware
11. SmartH2O portal
11
Public awareness and feedback
• Gamified
• Water
consumpAon
feedback
&
goals
• AcAonable
Aps
• User
acAons
earn
points,
badges
and
rewards
• Household
Profile
• Leaderboard
12. 12
Public awareness and feedback
AcAonable
Aps
Virtual,
social,
physical
rewards
Self-‐set
goals
Water
consumpAon
feedback
13. First feedback & results from SmartH2O validation
13
Public awareness and feedback
Novak,
J.,
Melenhorst,
M.,
Micheel,
I.,
Pasini,
C.,
Fraternali,
P.,
Rizzoli,
A.-‐E.,
2016.
Behaviour
change
and
incenAve
modelling
for
water
saving:
first
results
from
the
SmartH2O
project,
Proc.
of
iEMSS
2016
–
8th
InternaAonal
Congress
on
Environmental
Modelling
and
Sojware,
Toulouse.
Vol.
3,
pp.
776
hJp://www.iemss.org/sites/iemss2016/vol3.php
14. LOCARNO | CH
~400 smart water meters installed
VALENCIA | ES
~490,000 smart water meters installed
Two
real-‐world
deployments
of
the
SmartH2O
plaJorm
• Swiss
case
study
(Tegna):
small-‐scale
valida*on
• tesAng
and
tuning
of
the
incenAve
model
and
gamificaAon
techniques
• tesAng
the
measurement
infrastructure,
system
and
user
acceptance
• Spanish
case
study
(Valencia):
large-‐scale
valida*on
• full-‐scale
operaAonal
roll-‐out
of
a
new
EMIVASA
customer
service
• validaAon
of
SmartH2O
real-‐world
impact
in
water
saving
Validation: two case studies
14
Public awareness and feedback
15. Behavioural
intenAon
Altudes
Social
norm
Confidence
in
own
capability
Social
awareness
app
Awareness
Behaviour
• Technology
acceptance
on
portal
level
and
use-‐case
level
• Behaviour
on
the
portal
Beliefs
Measurements:
Measurements:
Measurements:
OperaAonalizaAon
of
awareness:
water
consumpAon
determinants
(Theory
of
Planned
Behaviour)
Comparison
of
smart
meter
readings
against
baseline
Validation: approach
15
Public awareness and feedback
16. Spanish case study:
First results
16
Public awareness and feedback
Performance
expectancy:
I
find
the
SmartH2O
portal
useful
in
my
daily
life
Altude
towards
technology:
Using
the
SmartH2O
portal
makes
water
conservaAon
more
interesAng.
Effort
expectancy:
Using
the
SmartH2O
portal
makes
it
easier
to
learn
how
to
save
water.
CollecAng
points
by
saving
water
moAvates
me
to
use
the
portal
Posi*ve
technology
acceptance
results
(UTAUT)
Posi*ve
towards
gamifica*on
–
344
users,
295
awareness
baseline
(87%
response
rate)
–
204
control
group
parAcipants
–
Intermediate
online
feedback
from
users:
32
parAcipants
(9%
response
rate)
18. Consump*on
class
No.
of
users
Average
reduc*on
Low
10
41.2%
Medium-‐low
22
26.9%
Medium-‐high
10
41.2%
High
1
21.2%
Overall
43
33.8%
Seasonal
influences
account
for
25-‐30%
of
the
reducAon
Preliminary
results
in
water
consump*on
reduc*on
First
results
of
portal
with
visualisaAons
and
Aps,
but
without
gamificaAon
Swiss case study:
First results
18
Public awareness and feedback
Average
reducAon
over
3
month
period
(1
Nov
2015
to
6
Feb
2016)
vs.
baseline
(readings
start
-‐
Oct
31
2015)
19. Conclusions:
• Gamified
incenAve
model
was
constructed
based
on
behavioural
psychology
• User
feedback
is
being
collected
at
different
stages
• Awareness
and
behaviour
change
are
being
measured
• IniAal
promising
findings
in
both
case
studies
Next
steps:
• New
releases:
Mobile
app,
Neighbourhood
comparison,
weekly
digest,
Social
sharing
features
• Final
large
scale
validaAon
in
Valencia,
supported
by
new
promoAon
campaigns
to
recruit
users
• Transfer
of
results
into
different
domains
and
projects,
including
energy:
– POWER
project
– enCOMPASS
project
Wrap-up
http://www.smarth2o-fp7.eu/
@smartH2Oproject
i.micheel@eipcm.org
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