Competing In The Information Era: A Smarter Approach to Smart Grids


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Competing In The Information Era: A Smarter Approach to Smart Grids

  1. 1. Competing inthe information era.A smarter approach to smart grids.
  2. 2. Smart grids are coming of age.The technology, the processes andthe tools are being put in place tomake them truly smart and delivera wealth of value to utilities, toconsumers, and to third partieswho want to take advantage ofsmart grid infrastructures. Thisguide outlines the potential—andthe challenges—and demonstrateswhy Oracle is the smart grid choicefor OEMs and systems integratorsseeking a true end-to-end solutionfor utilities.
  3. 3. Foreword Contents Carl Ford, put 1.6 billion dollars into energy storage with over 9 million developers in the Introduction 5 VP of CrossFire Media. and regional demonstration projects. worldwide market today***. Java As the invention of Worldwide the adoption of smart grid is not It’s logical to understand that represents not only a secure approach Part I: The Evolution of Smart Grids 7 but is well understood, allowing the PC gave new tools —The Infrastructure Era 8 about the benefits to the utilities but the control developing a smart grid requires application developers to make “an app and the Internet —The Device Era 9 of consumption. Regardless of the any other information technology, but for the for that” for everything from managing gave us new ways to —The Information Era 10 utilities it requires a change in mindset environmental or economic discussion the reality from supplier to enabler. Information the heat to correlating use to user- communicate, the —The Advantages of the Information Era 14 specific goals. is the market for energy is far more competitive technology changes the dynamics smart grid promise Part II: The Cornerstones of Smart Grids 17 of supply demand and makes it so This briefing provides the insight to help new ways to control that it was just six years ago. that demand response solutions are you understand the power of enabling consumption. — Open and Agile IT Infrastructures 17 — Real-Time Information 20 collaborative and two-way. As the control to the consumer. Whether you In fact, according to BP’s Statistical consuming more power than the — The Capacity for Change 22 invention of the PC gave new tools are a utility, M2M OEM, or an integrator, Review of World Energy 2011*, most United States for more than triple the — A Focus on Security 23 and the Internet gave us new ways to putting your energies into delivering countries have tripled their importing of population, their goal is to deploy 280 communicate, the smart grid promises solutions for the smart grid pays off. oil and gas from over 15 suppliers, while million smart meters by 2016 (In-Stat Part III: The Essentials of Smart Grids 25 new ways to control consumption. the suppliers themselves have doubled report**) and to expand their use of You just have to be smart about it. — Gathering Data 25 their international customers. The result renewables which has already reached The goal is no longer to be utility — Analysing Data 26 is a more dynamic economic model 1% with solar and wind technologies. * — Turning Raw Data into Real Information 28 supplier, but to enable third party for energy that has a direct impact on solutions to use the smart grid to make In the United States, the promise of 840&contentId=7021557 economies worldwide. decisions. Where will these third parties Part IV: The Reality of Smart Grids 33 the electronic vehicle is creating an come? From the device standpoint, the ** — Open-Platform Wireless Communications 33 To avoid being rip-sawed by competitive opportunity for the consumer to be a answer is from the M2M community asp?ID=3257&sku=IN1104731WH — Dedicated SIM Platforms 33 markets, countries are mandating that repository for energy as well as a partner where temperature and energy sensors — Smart Concentrators 34 utilities manage demand response with in avoiding overloads. dominate the deployments already. *** — Smart Home Gateways 35 alternative strategies and distribute To enable distributed generation on From the solutions perspective, the developers-are-there-10462.html — Non-Utility Peripherals 35 their sources with renewable energy. smart grids, the Depart of Energy has answer is clearly Java which dominates For example in China, which is now Part V: The Fastest Route to Smart Grids 36 3
  4. 4. Introduction Smart grids are no longer about simply delivering power. They’re also about delivering information to utilities that can help them control costs, improve reliability, and take advantage of additional applications and processes. For OEMs and systems integrators, Utilities, meanwhile, want to lower An infrastructure, furthermore, that can they represent a new opportunity to operating costs and improve reliability. provide a range of add-on services to develop flexible, future-proof, and secure They are looking to smart grids to make the smart grid truly smart, with applications and products that will give provide a wealth of invaluable usage robust technology that can be further each of the three key audiences involved and event data—and ease the load on developed and adapted over time to major advantages. networks by delivering information to accommodate future demands. consumers that makes them proactive The need to conserve resources and But what are the implications of thinking in adjusting usage. lower carbon emissions is prompting intelligently about utility infrastructures governments, for example, to And end users? Increasingly, they and the devices that connect to them? encourage a change in energy usage are looking for ways to control their This guide looks at the evolution of and distribution patterns. In the UK, own energy usage to save costs, as smart grids, addresses the issues that the Government has committed to well as access additional information utilities face in their quest to compete the rollout of smart meters for both and services. in an era when information itself is electricity and gas in all homes and most To realise all of these advantages, becoming a valuable utility, and shows small businesses by the end of 2020. smart grids require an agile yet secure the opportunities opening up for truly £8.6 billion will be spent replacing some IT infrastructure that can collect, secure embedded JAVA applications 47 million meters, which are expected to analyse, and deliver information where and solutions in the Complex Event deliver total benefits of £14.6 billion over it is needed, whenever it is needed, Processing (CEP) arena. the next 20 years.* whatever it is needed for.4 * ‘Smarter Grids: The Opportunity’, The UK Department of Energy & Climate Change, December 2009 5
  5. 5. Part I: The Evolution of Smart Grids Utilities across the globe all face the same challenge: how to support, maintain, and enhance infrastructures that, by their very nature, are large, expensive and, once installed, relatively inflexible. Added to this are environmental, regulatory, and consumer pressures that vary country by country, region by region, together with the need to contain costs, improve reliability, and maintain security. The answer across every utility has been What was smart just five years ago The new demands are, for the first time, to develop smart grids: infrastructures has become a standard part of utility giving utilities the chance to change the that help in the supply, metering, and infrastructures. Smart devices that were way they operate, with detailed usage billing of electricity by automating meter regarded as cutting edge are now seen information, real-time event reading and delivering information as old-fashioned. The need to conserve data, distributed generation, smart that can be used to improve business energy is changing the way electricity is switches and relays all bringing their decision-making. expected to be delivered and controlled. own challenges. Infrastructures that once had defined The issue, however, is that as So the first point to address in any end-points are now extending into metering technologies, IT systems, discussion about smart grids is how devices in the home. Additional uses legislation, and user demands they have evolved—and where they are being expected from—sometimes, have advanced and changed, the are now heading. demanded from—smart grids, with expectations of what smart grids can those expectations and demands deliver has also changed. varying market by market.6 7
  6. 6. It is estimated that The Infrastructure Era The Device Eraa direct reductionof 6% in electricityconsumption, witha range of 1% to In the past, the drivers behind utility The disadvantages of an Modern economies have now entered The advantages are many, such as10%, can be achieved networks were straightforward. Electricity infrastructure-based approach are the device era, in which the focus is on utilities being able to bill more accurately,in the residential simply had to be delivered to homes that rather than being designed to smart meters, which communicate the near real-time data contributing to more and businesses. Cost and ease of deliver, process and analyse data, data they gather back to the utility, either precise forecasting of future usage,and small/medium implementation were the biggest factors, such networks simply collect data at wirelessly or using power lines, and can and live usage data encouraging userscommercial building and the networks had to be scalable in thousands of fixed end-points. That data deliver processed information to users. to economisesectors through order to accommodate new users with has to be read and collated manually andimplementation The drivers that have prompted the The disadvantages are that the relative ease. is fixed and unchangeable. It is difficult to device era are increasing regulatory easier collection of data is still seen byof smart grid add or enhance the data that is gathered, The advantages are similarly pressures like the EU 20-20-20 target, utilities as the main driver, rather than thetechnologies. or the way that it is gathered. straightforward, particularly when the potential supply issues prompting utilities analysis of it, and utilities remain largely‘The Smart Grid: An Estimation of the Energy average time in the utility industry for to track consumption far more accurately, unaware of the wider potential of theand CO2 Benefits’, Pacific Northwest NationalLaboratory, January 2010 components to be replaced is 30-40 and utility companies trying to save on two-way connection into homes and years. Such networks are simple to the cost of collecting meter data. businesses and the consequent need maintain, with low tech components used for open standards. throughout that can be easily replaced should they wear out. The focus is on the infrastructure with each The focus is on devices with smart meters element siloed and separate from the others. installed in homes for remote meter reading. Generation Transmission Distribution Consumers Generation Transmission Distribution Consumers 8 9
  7. 7. The Information Era Utility companies, OEM partners, Smart meters, for example, are Overall, smart grids in this 5. The deployment of smart 9. The development of standards for and integrators are now talking about becoming true smart meters that information era differ from smart technologies for metering, communication and interoperability smart grids in which information and can send and receive actionable grids of the past in ten key ways: communications concerning of appliances and equipment connectivity become a utility, multiple information to and from a variety of grid operations and status, and connected to the grid 1. The increased use of digital levels of functionality exist, and further other devices equipped with machine- distribution automation 10. The lowering of unreasonable or information and controls technology functionality can be added as the to-machine (M2M) communication in 6. The integration of smart appliances unnecessary barriers to adoption. need arises. a secure environment. 2. The optimisation of grid using embedded technologies operations and resources, The crucial point is that, just as utility In addition to the connectivity to the with full cyber security 7. The deployment and integration infrastructures deliver electricity smart meter, the move to distributed of advanced electricity storage Analysis of 350 smart 3. The deployment and integration of wherever it is required, so smart grids processing at the substation will also and peak-shaving technologies, distributed resources and generation, metering/demand should deliver information wherever bring about actionable analysis, relying including plug-in electric and hybrid it is needed, in whatever form it is on new applications that must be including renewable resources electric vehicles, and thermal- response initiatives in needed, whenever it is needed. And, developed—applications that are both 4. The incorporation of demand storage air conditioning more than 50 countries as importantly, the kind of information standards-based and secure. response, demand-side resources, 8. The provision to consumers of timely represented 500 they gather should change as the and energy efficient resources information and control options million smart meters environment changes. that could be deployed within the next decade. Smart Metering, Market Dynamics Report, Q2 2011 New sensors / distribution computing on transmission Smart Meters and Home Networks help and distribution lines alert operations, fix problems, customers use energy wisely, mitigate peak integrate large-scale renewables generation. demand, integrate local renewables.10 Generation Transmission Distribution Consumers 11
  8. 8. Summary Table The drivers that have encouraged The advantages of such smart grids Basic Utility Infrastructures Smart Grids interest in the new era of smart grids are: are that they can change and adapt as Users are uninformed and non-participative. Users are informed, involved, and active. required, providing to utilities masses „ An increasing need to save electricity Dominated by central supply, with many obstacles Many distributed energy resources with plug-and-playUtilities need to of usage data such as voltage, energy to the connection of distributed resources. convenience, and a focus on renewables. whenever possiblechoose technologies supplied, and time of usage (TOU), Limited wholesale markets, not well integrated, Mature, well-integrated wholesale markets,that are interoperable „ The emergence of M2M devices together with event data such as power with limited opportunities for users. and growth of new markets for users. in home appliances like washing outages, tampering alerts, and serviceso that the larger Focus on supply with a subsequent slow response Quality is a priority with a variety of quality/price options, machines and air conditioning diagnostics. This wealth of informationgrid can be built. to quality issues. and the rapid resolution of issues. systems that allow them to be turned allows applications and uses to be added‘Smart metering – a review of experiences off by the utility provider at times of and removed as required. Little integration of operational data with asset Greatly expanded data acquisition and analysis capability,and potential across multiple geographies’, peak demand, the utility gaining by management, resulting in business-process silos. reaching beyond traditional parameters.Datamonitor, November 2009 having control over demand in peak The disadvantages are that they are A focus on protecting assets following faults. Automatic detection and response to problems, periods, the user gaining from off- more complicated to specify, configure, with a focus on prevention, minimising impact to users. peak tariffs implement, and maintain. The number of Vulnerable to malicious acts of terror and natural disasters. Resilient to attack and natural disasters with potential M2M devices and applications rapid restoration capabilities. „ Recognition that information can that could connect to smart grids, for become a tool to drive down costs, Uses traditional fuels and sources. Uses cleaner supply technologies and reduced CO2 emissions. example, is extremely wide and diverse provided it is accessible Limited information provided by single-use, proprietary devices. A wealth of information available from M2M devices that and there is a danger of information and actionable are re-programmable and re-purposable. overload or blockage. There are also „ The emergence of mobile phone and increasing concerns about the security of PC apps that allow users to control information held within smart grids. The evolution of Smart Grids their energy use remotely „ The adoption of wind turbines and Summary Electricity Time of use MicroGrid bills storage other devices in the electricity arena pricing balancing Smart meters turning users into generators as well Automated Home area meter reading Advanced networks as consumers. Real-time metering Demand pricing infrastructure Smart Advanced response appliances distribution Critical peak management Electric Distribution systems Distributed automation pricing generation vehicles 10 years ago Now Future: 10 years 12 13
  9. 9. The Advantages of Businesses The Information Era Businesses can track energy usage to identify Systems Integrators potential savings, switch additional services on and off quickly and easily, and take advantage Systems Integrators can plan for any requirement of new services as soon as they are introduced, in a new or existing infrastructure, introduce new with middleware managing the complex task of services quickly and easily, and repurpose M2M collating information from a multitude of systems. devices as required, with open standards removing Consumers compatibility problems and speeding the process. Consumers can monitor their energy usage, save money by using high-demand appliances off-peak, sell energy back to the utility, plug in third party devices like health monitoring systems, and access a OEMs range of additional information services in the future. Distribution OEMs can design smart All through flexible and agile devices and applications that can change as the market changes. Network meters and other M2M Operators devices that are flexible, re-purposeable, and Distribution Network Operators secure, and that can be can track real-time usage integrated into future M2M permanently, allowing them devices, offering real long- to adapt the infrastructure to term value to utilities. suit local demands, identify potential weak spots and move from reactive management to proactive monitoring. Utilities Utilities can track usage in real time, even out peaks in demand, identify network issues immediately, bill customers accurately, and respond to changes in the14 supply environment quickly and easily, with a flexible, 15 agile infrastructure that can adapt to new demands.
  10. 10. Part II: The Cornerstones of Smart Grids The journey to the smart grid in the information era, while worthwhile for utilities, OEMs, and integrators, means that any smart grid deployment has to be based on four essential cornerstones, all of which are critical for success. Open and Agile In order for smart grids to be truly IT Infrastructures smart, therefore, the IT infrastructure underpinning them needs to be open With traditional infrastructures, the life and agile, providing a common platform expectancy of components is 30-40 for the many emerging components, years, during which what they can do technologies, and applications in and the information they deliver does different areas. not change. Planned correctly, the infrastructure can Smart grids are different because deliver a constant stream of data through the applications they need to access, a variety of devices and applications. collect, deliver, and return back to both the user and the utility have to be flexible, future-proof, and secure.16 17
  11. 11. If smart grids come to fruition, consumers will flock to: 62% In-home displays for real-time access to usage Key to the success of such an approach as asset utilisation and management, Distributed Intelligent Agents fast load flow analysis; system and cost data are integrated, scalable, proven, and work management, outage Distributed Intelligent Agents are performance monitoring, standards-based technologies that management, and GIS-based systems. adaptive, self-aware, self-healing, and simulation and prediction; 51% Smart will contribute to the flexibility of the semi-autonomous control systems condition-based maintenance; appliances Advanced Control Methods infrastructure at every stage: that respond rapidly at the local level to outage management; and The communication infrastructure unburden centralised control systems asset optimisation. 31% Mobile device Integrated Communications supporting today’s emerging smart portals and human operators. Several of With a fully integrated data grids consists of a wide spectrum of Decision Support communications architecture, smart technologies patched together. The these agents are often combined to In smart grids, complex and 18% Distributed grids can capture, distribute, process, required information is transmitted form a multi-agent system with peer- extensive system information energy and analyse large amounts of real-time from the sensor to the control systems, to-peer communication. needs to be rendered into resources data from sensing and measurement devices. This acquisition and transfer of processed by the control systems, and then transmitted to the controlling 40% of CO2 emissions formats quickly understood by system operators so that they 11% Plug-in hybrid electric data supports the grid’s ability to detect, devices. This is too limited to support come from power can understand the overall vehicles (PHEVs) analyse, and respond autonomously to the high-speed requirements and generation. By status of the grid at a glance and adverse trends and conditions. broad coverage needed by Advanced 2020, Europe has lend support to the self-healing 10% Electricity Control Methods, and does not aspect of the grid. storage The data and information made available provide the networked, open committed to Oracle Survey of 150 North American using integrated communications architecture format necessary for the cutting these New applications such as C-level utility executives, 2010 technologies additionally benefits other advanced pattern recognition, —Executives asked to select the top two processes and technologies, such continued enhancement and growth emissions by 20%, holographic video, geospatial advances they believe will take off fastest. of smart grids. producing 20% reporting, and dashboard In true smart grids, Distribution of energy from presentations can all improve automation (DA) technologies can be visualisation and thus increase renewable sources, used to monitor and operate devices the human operator’s installed throughout the distribution and increasing understanding and speed system, thereby optimising station energy efficiency of comprehension. loadings and reactive supply, by 20%. monitoring equipment health, identifying outages, and providing In smart grids, these multi-agent more rapid system restoration. systems are capable of reaching goals difficult to achieve by an individual system and can be used for ultra-18 19
  12. 12. Real-Time Information quality. On top of this, other data such The challenge for OEMs and as network outage notifications, tariff systems integrators is to develop The second and perhaps most important issue for utility companies is the fact updates, and firmware updates also solutions for utilities that offer: Utilities must support smart grids with the need to be transferred to and from smart that real-time information becomes a „ An open standards architecture additional processing power needed to: meters. And that’s before other M2M utility. And, like a utility, the sheer scale of that optimises future flexibility and applications are even considered. information flowing to, through, and from freedom of choice „ Continually assess power or feeding customer-owned a smart grid will be vast. Estimates from A pre-requirement of a truly smart grid „ M2M devices that similarly speak the delivery and available distributed generation into the The Electric Power Research Institute is therefore a resilient, scalable system same language and can interact with (EPRI) indicate a growth of 800% over capable of communicating with and feeder capacity grid through net metering each other faster and more easily what utilities experience today. processing all of the messages from a „ The ability to capture, store, analyse, „ Analyse sensor data to „ Size the network to optimise large mixed smart meter estate within a In traditional infrastructures, for example, distribute, and manage the large mitigate feeder problems available capacity and limit finite processing window. meter readings are taken at defined volumes of data involved in the before they occur line losses periods and customers are billed That data must then be turned into management of a smart grid based on those readings. With the something that is actionable and „ Prepare bills that reflect „ Provide near-real-time views „ Reliability, scalability, security, need for smart grids to deliver real-time usable across the business from flexibility, and manageability of and explain to customers of usage and costs that information, it is generally accepted forecasting to program development the IT systems the complex pricing models empower customers to make that usage and event data needs to be to asset management. It is here that acquired at 30-minute or even 15-minute the importance of platform integration „ High performance in real-time data that encourage them to shift the best usage decisions for intervals, and then processed, stored, transactions, transaction speed, and optional electricity use to off- their situation. and open architecture really comes into data volumes and made available. play. There are large financial benefits to peak hours efficiently leveraging available enterprise „ System resilience in terms of In order to handle the massive Even at the lower limit of 30 minutes, information with real-time smart grid automatic back-up and fail-over „ Manage rebates and incentive increase in data, it is critical that 48 separate items of usage data alone operational data through data sharing procedures architected in to processes for customers application architecture uses need to be parsed, verified, validated, between legacy systems. the system purchasing and installing building blocks that are open, and securely stored for every customer every day. If a large utility has 10 million There are also many advantages of using „ Robust data management systems energy-efficient equipment flexible, adaptable, and scalable. customer accounts, this would equate that are able to categorise data in embedded technologies which offer high to 480 million pieces of data. Per day. terms of its latency, priority, currency, performance and functionality yet low And this does not include additional accuracy, recoverability, and longevity. latency, and can be relied upon in the data channels that utilities now want to long-term for ongoing support. collect such as event alerts and power20 21
  13. 13. What smart grid components will see wide-scale utility adoption most quickly? The Capacity for Change meters are expected to collect, process, monitoring systems that can be installed 63% Smart metering A Focus on Security of smart meters or concentrators on The thinking behind smart grids, in and respond to. quickly and easily. Once again the smart 48% Demand The concern for many utilities when the grid. Instead a common security terms of what is possible and what grid is the highway that can be used by response and considering smart grids is to contain standard has to be adopted for every Inside the home, smart appliances like third party companies and M2M devices. critical peak smart meter and device at every can be delivered on a large scale, is washing machines and air conditioning costs and improve reliability. A pricing endpoint, with embedded security as changing all of the time. Hence, smart systems that modify their energy So far more will be expected from major issue that always lurks in the the rule, not the exception. meters and other M2M devices need to be designed so that they can adapt to consumption during times of peak demand are already being developed. the smart meters and smart devices of tomorrow than today. OEMs and 38% Smart background, however, is the security of the grid itself. Similarly, once data is processed and distribution and/ the shifting environment around them. Fridges will follow, and domestic integrators need to be thinking about or transmission analysed within the utility, customer and Every day, every utility has to defend heating boilers, and audio visual it now, however, because embedded operation employee access to information needs to Plug-in hybrid electric vehicles (PHEVs), itself from countless cyber attacks, equipment and… think of a device that technologies will be key in extending the devices be streamlined with automated access for example, may also be seen by the intrusions, and hackers who want to consumes energy and the likelihood is lifespan of infrastructures for utilities and and identity management, and next- network as a battery source that can, at times of peak demand, be used that M2M technologies will emerge to the commercial opportunities that 30% Integration of destabilise the distribution grid. With new devices in smart grids providing generation consumer energy portals. even out demand. will arise. renewables to help supply electricity rather than more data, utilities are being exposed Issues like this require OEMs and (hydro power consume it. So smart meters have to The driver for consumers will be to more security challenges than ever integrators to use a platform for the and wind energy) be able to accommodate this change lower tariffs when demand falls, once before. And this is only the beginning. smart meters and any other M2M by, for instance, running backwards again requiring those smart meters to 26% Increase in Future developments of smart grids devices that is utterly secure in order when electricity is being supplied, or by be adapted. smart sensors will see them extend into areas inside to reassure users, yet agile enough to reducing supply if such battery-stored on the network homes and businesses, where the grids reduce the time and cost of compliance power is fed directly into the house. In order for a UK become highways for other services. by rapidly adjusting to new regulations smart grid to work, 21% Accommodation These services will, by their very nature, and mandates. Once price and legislation allows, many of plug-in carry sensitive data that has to be more consumers will invest in wind the smart meter hybrid electric protected at every point in the grid. In order to guarantee commercial turbines and become power generators system alone will vehicles (PHEVs) success in the information era, therefore, as well as power users, selling electricity It is not enough for each smart meter the focus needs to be on inherent and back to the grid and changing the way need to process Oracle Survey of 150 North American C-level and M2M device to promise its own integrated security throughout smart utility executives, 2010—Executives asked to power grids are controlled. a minimum of select up to three smart grid components. security protocols, independently grid infrastructures using proven, The increasing use of batteries for 2,256,000,000 separate developed and tested. Nor is it sufficient established technologies with an existing for M2M devices to trust in the security support ecosystem. storage will additionally localise supply data items per day. as well as demand, placing yet more demands on the information that smart Healthcare too is in the spotlight, with smart grids acting as the backbone for22 23
  14. 14. Part III: The Essentials of Smart Grids Smart grids, by their very nature, have complex infrastructures comprised of many components, lots of which are concerned with carrying electricity to consumers safely and with minimum loss. The key concern for OEMs and systems integrators developing solutions for gathering and analysing data, and transforming that data into valuable information, is to ensure that those solutions integrate seamlessly with the smart grid. Gathering data Not every appliance in the home has will play a growing interactive role in the potential to be ‘smart’, however. energy-efficient homes in smart grids, In every smart grid, it is the last mile in Component costs and market price by communicating with and controlling a particular where there is the opportunity points dictate that smaller devices with range of smart appliances and devices. for OEMs and systems integrators to no user interface and a limited response develop new technologies and products Smart Meters requirement are unsuitable from a cost that can help utilities gather more data. Smart meters are the real hub of as well as complexity perspective. Smart Appliances information in smart grids. Instead A lot has been written about how usage Smart Apps of being relatively dumb devices that data from smart appliances like washing At the next level up, a widening range monitor and report energy usage and machines, freezers and air conditioning of applications on tablet PCs, smart little else, modern smart meters gather systems can be gathered and used to phones and other devices are gathering more information, more frequently. have a real and lasting impact by moving information and showing users energy Giving utilities the ability to access usage and energy consumption to off- usage in real time, whenever and many different channels of usage and peak periods. wherever they want it. With increasing event data—and enhance and expand regulation and mandates for energy- that data as the environment and efficient white goods, smart apps needs change.24 25
  15. 15. What are your biggest smart grid priorities for the next 10 years? 45% Improving service reliability and Analysing Data of collecting. Added to this is the generation tool to closely emulate operational complexity of converting raw data into production scenarios and realistic Just as important as the last mile of efficiency usable business intelligence. distribution of the data. 80% of the smart grids is the first mile—at the headquarters or data centre of the utility Take usage data. It needs to be accounts created were for residential 41% Implementing customers, 18% for commercial smart metering itself. Rather than gathering data, it is mediated (converting measured customers, and 2% for industrial here that the same data is aggregated, consumption into rateable units of customers. In addition to the financial 37% Developing analysed, processed, and turned into measure); rated (applying complex demand response history data, one year of historical information before being passed on to rate and discount structures to the and energy meter readings was also created. the various departments that need it. mediated usage); billed (assembling the efficiency rated information into discreet financial The result programs The cost of The biggest issue with smart grids is the transactions for interface to the general Given the huge demands placed generating a sheer volume of usage and event data ledger); and invoiced (assembling the upon a relatively modest server 23% Updating physical kilowatt-hour of that smart grids are capable billable information for presentation to configuration, the result was infrastructures electricity is 70 to surprising. Running on just two the customer). Sunfire X4470 servers on the 17% Offering real- 170 times the cost Suddenly, what was an initiative that time pricing of saving a KWH application tier and a quarter options can help utilities work smarter becomes rack Exadata v2-2 server on the through efficiency. one that could make their work even more complex. database tier, the benchmark 15% Increasing your ‘Real. Smart. Solutions’, demonstrated that Oracle Utilities renewable GE Digital Energy, 2010 Providing a benchmark Customer Care and Billing v2.3.1 portfolio In order to demonstrate that a complex is able to process bills at a rate billing scenario can be handled with a of 993,240 bills/hour. While the 14% Optimising measured throughput is reaching existing business solution that meets market windows extreme performance, the Exadata processes and regulatory requirements, with low total cost of ownership and a high 2-node utilisation was less than Oracle Survey of 150 North American C-level utility executives, 2010—Executives return on investment, Oracle tested 55%, leaving ample room to grow or asked to select their top two priorities. its Utilities Customer Care Billing host other applications in the same 2.3.1 software on an Oracle Exadata database server. Database Machine X2-2. 12 months of historical financial data for one million customer accounts was created using an internal data26 27 © Idaho National Laboratory/Flikr
  16. 16. Turning Raw Data into The Intelligent Choice Outage Management and Distribution Oracle Utilities Meter Data Management Real Information The first foundation for many Management capabilities) and world- can serve as the foundation for a smart organisations seeking to exploit class Oracle Fusion Middleware to metering initiative, integrating with There are many reasons for choosing information and intelligence is Oracle. handle complex event processing, multiple advanced metering solutions technologies to support a smart grid. Oracle offers mission-critical software batch operations, the streamlining and acting as a central data repository. But for OEMs, systems integrators, applications, a proven operational of business processes, alignment of It provides validated, ‘clean’ data for telcos, and other parties involved in software suite, high-performance business applications, exponential data downstream systems such as billing, the planning, design, configuration, servers and storage, and world-leading growth, and visualisation for embedded customer care, network management and implementation of smart grids for middleware and embedded technology spatial capabilities. and more, feeding processed and utilities, several questions remain. that can help address every smart grid formatted data to the Oracle Utilities Oracle’s smart metering software, What technology should be trusted and smart meter challenge. applications that support smart metering. similarly, is a solution set that offers new in the development of smart meters As importantly, Oracle provides end- ways to conserve energy, potentially and other M2M devices? Will the to-end solutions with the world’s most reducing bills and carbon footprints. choice of a particular technology over complete set of software choices that another end up restricting choices help utilities address emerging customer in the future? Is there a technology needs, speed the delivery of utility- As well as understanding the that can be integrated with existing Oracle utility industry solutions complexity around smart grid specific services, increase corporate technologies to enhance smart administration efficiency, and turn initiatives and implementations, grids? Does the technology use the Common Information Model (CIM), now business data into business intelligence. Application for utilities Oracle provides a complete footprint recognised as the data standard for Oracle’s smart grid software, for of flexible, innovative technology and smart grids? How can that technology example, is a solution set that is based Middleware for utilities applications that increase efficiency, be employed to gather masses of usage on the Common Information Model and improve stakeholder satisfaction, Database for utilities and event data—and then turn that data uniquely positioned to provide utilities future-proof organisations, and turn into actionable, usable information? with the end-to-end applications to help information itself into a powerful Operating system for utilities solve their technology needs. utility. Making Oracle the smart grid Virtual machine for utilities The role of operational applications choice for utilities everywhere. starts with the distribution management Servers for utilities features of Oracle Utilities Network Storage for utilities Management System (which includes28 29