From Smart Grid to Smart Cities - Richard Schomberg
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From Smart Grid to Smart Cities - Richard Schomberg (Securing Asia 2015)
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From Smart Grid to Smart Cities - Richard Schomberg
- 1. Richard Schomberg IEC Smart Energy chair EDF VP Smart Energy Standards Security Watch India - ISGF July 2015 Windsor, London, UK International Electrotechnical Commission
- 2. Smart Cities are the Embedded sensors and intelligence Shared digital infrastructure (power, water, gas, transport, etc. Embedded sensors and intelligence Shared data path forward The Smart Grid is an essential early step
- 3. Agenda slide Smart Cities by Connectivity Smart Cities by Design
- 4. Apps Data Platform Devices Data Platform Data Platform Data Platform Electric Water Gas Transport Emergency Data Platform Current applications live in “silos”
- 5. Communications Apps Blended Apps Electric Water Gas Transport Emergency Data Mgmt, Warehouse, Analytics Service Delivery Platform
- 8. Present - Real-time situational awareness
- 9. 1 Present: Rio control center integrates 30 depts
- 10. Perfect : Microsoft building management: 125 buildings, 58,000 employees (M$ saved !)
- 11. 1 Singapore: Predict congestion before it happens
- 12. Memphis: Predicting crime = 30% drop
- 13. Beyond ICT Technology improving operations: smartness from planning and design! • Energy long term planning – local energy potential, – Energy demand - buildings, mobility – Energy Networks • Solutions for low carbon and smart cities – Energy efficiency, eco-districts – Electric mobility – Smart grid to enable local renewable and demand response An integrated and systemic approach to better serve the citizens and improve cities’ attractiveness and sustainability SWI ISGF- Smart Grids to Smart Cities - Schomberg IEC - July 2015
- 14. 14 How Energy and Urban Development are coupled? Limited illustrative exampleSWI ISGF- Smart Grids to Smart Cities - Schomberg IEC - July 2015
- 15. Smart Energy planning: simulation to understand long term impact of today’s decisions Complex – system - modeling Multi scale, Interactions, non deterministic Persistent for the long term 3D intelligence for smart actionable results SWI ISGF- Smart Grids to Smart Cities - Schomberg IEC - July 2015
- 16. Modeling & simulation to discover many counterintuitive clues! In this case: More MWh generated from PV installed in fact on the less exposed buildings ! SWI ISGF- Smart Grids to Smart Cities - Schomberg IEC - July 2015
- 17. *in collaboration with Greenery Regenerative lifts Fuel CellAir conditioning Photovoltaic Green Home Package Water* Common area lighting Waste* Transport* Increase landscaping Singapore – HDB Partnership: Urban Planning using Systemic approach
- 18. ENERGY COST GHG CITY BENCHMARK Power Heat Fuel + Production Operation Investment Power Sold Total Emissions Compensation Green Mark Green Home Package Singapore – HDB Partnership: Urban Planning using Systemic approach SWI ISGF- Smart Grids to Smart Cities - Schomberg IEC - July 2015
- 19. Multidimensional Decision Support tool to optimize a Green Print Singapore’s “Housing & Development Board” (Yuhua-Jurong) SWI ISGF- Smart Grids to Smart Cities - Schomberg IEC - July 2015
- 20. CONCLUSIONS Cities can be designed and managed differently! - Standards and interoperability, taking a systems approach will help mastering the complexity and accelerate deployments - The pervasive Information & Communication Technologies enable rapid development of “on line” intelligence to present, perfect, predict - The Smartness of a city resides also in its design taking into account long term planning from multiple viewpoints for sustainability - Understanding Human behavior, needs, aspirations, must be the driving force ! SWI ISGF- Smart Grids to Smart Cities - Schomberg IEC - July 2015
- 21. SWI ISGF- Smart Grids to Smart Cities - Schomberg IEC - July 2015
Hinweis der Redaktion
- “With common operational views, personnel across our organization can now implement more cost-effective asset planning and maintenance practices, collaborate as one team to respond rapidly to emergency situations and outages, and more readily understand the real-time impact of weather and fires on our daily operations geospatial and visual analytics software. The software facilitates faster and more informed smart grid decisions. The system, which correlates, analyzes and visualizes data in smart grid, distribution, outage, fire and weather systems, geospatial and visual analytics displays effortlessly merge and correlate data from sources as diverse as smart meters, switch sensors, weather reports and emergency systems,
- Rio’s operations center does much more than respond to emergencies. By coordinating the activities of more than 30 municipal and state departments plus private utility and transportation companies, the operations center is the first such facility in the world that is on the path to integrating all of the functions of a city in a single digital command-and-control system. The facility embodies the principle that only by considering and coordinating the human-made and natural systems of a city in a holistic way can municipal leaders hope manage the complexities of a large, modern city. They can prepare for a large music concert or sporting event in the same way they handle emergencies. The agencies don’t just share data. Representatives from the various departments actually sit side by side in the operations center and look at live videos of city streets and facilities or graphical representations of data feeds—making group decisions on the fly.
- A small, covert team of engineers at Microsoft cast aside suggestions that the company spend US$60 million to turn its 500-acre (2km²) headquarters into a smart campus to achieve energy savings and other efficiency gains. Instead, applying an “Internet of Things meets Big Data” approach, the team invented a data-driven software solution that is slashing the cost of operating the campus’ 125 buildings. The software, which is saving Microsoft millions of dollars, has been so successful that the company and its partners are now helping building managers across the world deploy the same solution. And with commercial buildings consuming an estimated 40 percent of the world’s total energy, the potential is huge. Microsoft is looking at ways to tie building management systems into predictive analysis tools to better balance energy production and consumption. With predictive analysis tools, air conditioners in buildings could be turned down, for example, to compensate for a sudden decline in power production at a wind farm.
- Drivers can see traffic jams before they happen. IBM helped Singapore predict traffic with 90% accuracy to anticipate and prevent congestion. a system that will predict traffic flow up to an hour before it occurs, giving travelers ample time to avoid trouble. During pilot tests in Singapore, forecasts made across 500 urban locations accurately predicted traffic volume 85 to 93 percent of the time and vehicle speed 87 to 95 percent of the time. Similar results were achieved in Finland and on the New Jersey Turnpike. The key to success is predictive modeling—software that combines real-time data from road sensors and cameras, as well as GPS transponders in taxis, with historical traffic information, roadwork conditions and weather forecasts. Each week the model recalibrates based on statistics from the most recent six weeks. It broadcasts advisories to electronic road signs and car navigation displays. The system also predicts when a congested road will return to normal flow.
- one of the most popular examples of using predictive analytics which is predicting consumer buying habits. People are creatures of habit and with the right tools and data, it is pretty easy to predict what the shopper is going to purchase next. What I didn’t know is that there is a new technology that by using those same tools but different data, people can begin predicting where and when criminals are most likely to strike again. Since 2006 when this program began Memphis has seen serious crime drop by 30%, and violent crimes drop by 15%, significant numbers for a place that was repeatedly ranked as one of America’s most dangerous cities. It’s called Predictive Policing and it’s using this new technology to make the old process… relying on instinct… more efficient. One of the first cities to embrace this technique was Memphis, Tennessee. Predictive analytics isn’t able to predict exactly when and where a crime will be committed, instead it is able to determine where the “hot spots” of crime are during certain periods of the day/night so that Memphis can dispatch officers to the right place at the right time.
- HDB = Housing & Development Board
- This is a partnership with HDB (HDB = Housing & Development Board ) and French companies, lead by EDF. We developed a decision support tool, tailored for the needs of HDB Planners. this is a first prototype worldwide for integrated simulation of sustainable neighborhoods. This prototype, to be handed over to HDB as the tests are finished, will increase the productivity of planners and the decision making process, by reducing the time from initiative or strategy definition, to the evaluation of results. You have an overview of the initiatives we already implemented in our tool (…). Behind all these initiatives you have a precise assessment of technologies and understanding of the impact on the HDB KPI’s. HDB planners have the capability to choose where and when the implement the initiatives in they buildings and districts, and to know immediately the impact of these strategies. (cf next slide)
- The tool allow you to see immediately the evolution of your KPIs and related cost. You can rank different strategies and make your own choice, based on strong expertise. This is a partnership with HDB but also two other French companies, namely Veolia and Dassault Système. We developed a decision support tool, tailored for the needs of HDB Planners. We reveal with HDB on their pavilion downstairs this first prototype worldwide for integrated simulation of sustainable neighborhoods. This prototype, to be handed over to HDB as the tests are finished, will increase the productivity of planners and the decision making process, by reducing the time from initiative or strategy definition, to the evaluation of results. You have an overview of the initiatives we already implemented in our tool (…). Behind all these initiatives you have a precise assessment of technologies and understanding of the impact on the HDB KPI’s. HDB planners have the capacity to choose where and when the implement the initiatives in they buildings and districts, and to know immediately the impact of these strategies. (cf next slide)
- This Video show an early version of Edf City Platform. It is obviously not only a tool, it is also a way to work collectively with urban planners. The tool is a 3D city application but not only as it is coupled with our long lasting expertise. It helps first city planner to understand the current situation. For instance, they are able to compare energy consumption between buildings, or between districts. In some clicks you get all the information. More interestingly, it give the possibility to make simulation. HDB is developing a sustainable scheme for Yuhua (a precinct located at Jurong, Singapore), called Green Print. We tailored this tool with them. They start loading scenario, for instance for electricity price evolution over the next years. Next, they are able to test different initiatives, for energy efficiency in buildings or for renewable production in the district. We took the example of photovoltaics on this video, but all the initiatives you saw before are implemented. And after running simulations, you are able to compare scenarios and you can choose the most appropriate technologies, regarding your KPIs but also your affordable budgets !