AI for Smart Cities. XIII Conference of the Italian Association for Artificial Intelligence Turin (Italy), December 4-6, 2013

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1 AI for Smart Cities XIII Conference of the Italian Association for Artificial Intelligence Turin (Italy), December 4-6, 2013 Enel Engineering and Research Sandra Scalari

2 Enel is a global integrated energy player 1999 Upstream Gas Generation Distribution Sales Presence in 40 countries Installed capacity 98,7 GW Annual production 295,7 TWh Gas and electricity network 1.9 million km EBITDA 16.7 Bln Customers 60,4 million Employees 73,537 Capex ,2 Bln At 30 th June

3 Engineering and Research Division Engineering & Research Livio Vido Staff Proposal, contracts and development Augusto Patacchiola Health, safety, environment and quality Antonio Dentini Planning and Control Human Resources Enrico Sorrentino Bruno Giancaterino Line EPC R&D Nuclear Roberto Tomasi Sauro Pasini Livio Vido a.i. 3

4 Enel Research Demo Activities Renewables, renewable integration, smart electricity use Smart Energy District & Smart buildings Under construction In service Distribution Management System (DMS) Trial Livorno Storage Test Facility TOB prototype Renewables Forecast Brindisi Biomass & Geo Pilots Canary islands Storage integration PV testing facility Catania Ventotene Storage-Diesel hybrid CSP Plant Priolo 4

5 Enel s technology map Merchant Generation & Upstream gas Renewables Network Downstream Storage and RES integration Power Plant Flexibility Distributed Energy & Microgrids Big Data, Cloud Management & Business Intelligence On-shore Wind 1 Power Plant Efficiency Nuclear Pollution & waste control Unconventional hydrocarbons Solar PV Hydropower Geothermal Marine Energy Smart Grid & Cities Digital Power Conversion EE in mass market EE in Industry EV Infrastructures & Services Diagnostic & Advanced Automation Biomass, RDF & waste CCS CSP 1 Focus on forecast and O&M 5

6 The questions Which are the challenges related to Smart City in your company? How are we affording these challenges? Open points? How the Smart City Paradigm can contribute to the economic re-launch to come out from current crisis? Principal technological and cultural barriers to the deployment of smart cities? How Internet of things, semantic web, open data can contribute to smart cities? How is possible to put people in the loop to create true cyber physical systems? What interaction among the different technologies we are using, the possible AI ones, augmented reality, virtual reality, 3D print? What else? Privacy, AI and smart cities: can they coexist? 6

7 Challenges Society is changing, together with Energy System 50% REN share, 40% penetration of electric vector, 70% of population in cities, 75% of global energy demand Urban areas are vulnerable environments. A common framework on EE and consumer involvement at European level Energy networks will connect a wide variety of distributed energy sources. Utilities: higher levels of flexibility, quality and security of supply. Synergies among different sectors: electricity provision, heating and cooling. Cities are high potential locations: they will be the open-air laboratory of a new approach to energy production and consumption 7

8 Challenges The SmartGrid: ü new technologies for a new way of producing and consuming energy; ü an enabler for a sustainable energy development; From Smart Grid to Smart Cities: smart solutions implemented in a urban context for a sustainable development. The Utility Role is changing: from a natural monopoly to distributed resources integrator and service provider. ü To understand the role of energy in the community; ü To figure out how new value can be created and shared; 8

9 Challenges Trends for a Sustainable Development The Future: efficiency Solutions for transport, energyenergy and urban logistic, sustainable districts and build environment Energy A seaming less integration of urban management infrastructures and processes Energy A greater engagement of citizens will foster consumption behavioral change. City Sustainable Development reduction The Research Committment: Guidelines, best practices and tools for decision makers Business models definition and validation. Renewable sources Integrated information and energy/ service platforms Large scale commercial demonstrations 9

10 Challenges Technology Open Points Heterogeneous maturity: the key point is the development and integration of cost effective EMS (*) ICT and Analytics for Open Data are fundamental technologies: still at an early stage. Market Status Several demos worldwide (e.g. Malaga, Stockholm, Masdar, Boulder), but at a reduced extent of deployment. Cost effectiveness of proposed solutions is still a weak point. Although policies and long term development plans are in progress, the regulatory framework to enable full market participation is still missing or lacking. (*) Energy Management System

11 Challenges Market future trends European SET Plan: bn of investments in smart city projects within Joint ventures and joint investments are needed, to find out a profitable model for cost/benefit sharing, reduce risk, and boost economic development, as planning and decision making process is cross-sectorial; C o s t e f f e c t i v e n e s s, m o d u l a r i t y, standardization are key issues. interoperability and Consumers/Prosumers, Active Participants: Technology Consumerization Leverage Energy

12 Challenges Barriers Lack of strong commitment at local level, needed for the deployment of long term plans in urban context. Lack of tools and metrics for result assessment Standardization and interoperability of protocols and components to be developed. High investment costs for infrastructure improvement and funding issues. Difficulties of involving both stakeholders and citizens in urban energy renovation.

13 New Technologies Cities are complex interconnected systems: we need new tools to afford such complexity and take advantage of all information available. ü The city is looking for new ways of managing its building stock. ü An integral/integrated planning should take into account the big picture and the whole life-cycle of the solution: ü A direct participation of distributed energy resources to electric system operation is supposed to be one of the levers for the management of complex realities such us smart cities (EC Smart Grid Strategic Agenda 2035).

14 New Technologies In cities we can leverage the nexus of disruptive forces: ü City experimentation answers to direct stakeholders needs: it allows an easier raise of consensus. ü Local experimentation feeds knowledge and experience; it leads to a bottom-up diffusion. ü New interaction modes among people will favor aggregation and information exchange and will lead to new behavioral modes also in the energy field. Reference: Gardner 2013

15 New Technologies Big Data and pervasive access will allow the deployment of new services. Utilities are starting to experiment the Big Data Revolution: they need to learn how to take advantage of them to improve their current business and to renovate it. Reference: Gardner 2013

16 Cyber Physical Systems, Privacy, Security People involvement has to be one of the highest priorities: ü Keep People in the loop: exchange information with people, get their needs, to provide the solutions they want ü Competition, Gamification as a way to involve people. ü Education has a central Role to change perception and sensitize people with environmental issues. Different learning tools for different people. ü The use of social media as a strategy to link individual, collective and energy suppliers drivers. Increase the use of data for understanding of energy performance of citizens: data, transparency and understanding of energy performance, consumption/ optimization by the population, but ü How to protect privacy of individuals???

17 Interaction with new technology Environmentally enlightened consumers are getting into the driver's seat by: ü Participating in energy-efficiency programs ü Deploying renewable distributed energy resources Energy Technology Consumerization: there is a need to use all the technologies people are used to. We can leverage the consumerization of energy, looking for its impact on existing business processes and applications. Reference: Gardner 2013

18 Thank you for your attention AI for Smart Cities XIII Conference of the Italian Association for Artificial Intelligence Turin (Italy), December 4-6, 2013 Enel Engineering and Research Sandra Scalari

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