Building Research Collaborations: Electricity Systems
September 19th, 2013
Discovery Lecture Series Speaker
John D. McDonald, P.E.
John D. McDonald, P.E., is a sought-after industry leader, technical expert, educator, and speaker with 38 years of experience in the utility industry. In 2008, McDonald joined GE as General Manager, Marketing for GE Energy‘s Transmission and Distribution (now Digital Energy) business. In 2010, he accepted his current role of director, technical strategy and policy development where he is responsible for setting and driving the vision that integrates GE’s standard participation, and Digital Energy’s industry organization participation, thought leadership activities, regulatory/policy participation, education programs, and product/ systems development into comprehensive solutions for customers. McDonald was elected to the Board of Governors of the IEEE-SA (Standards Association for 2010-2011, focusing on long term IEEE Smart Grid standards strategy. He served as Chair of the NIST Smart Grid Interoperability Panel (SGIP) Governing Board for 2010-2012.
McDonald received his bachelor and master degrees from Purdue University.
Smart Grid: Concepts, Standards, Deployments and Lessons Learned
The purpose of this talk is to familiarize participants with Smart Grid concepts and solutions,
Including distribution optimization, transmission optimization, asset optimization, demand optimization, smart meters and communications, workforce and engineering design optimization. Smart Grid industry standards efforts will be discussed, including NIST, SGIP 2.0, IEEE, CIGRE and IEC. An overview of recent Smart Grid Deployments will be given, including the lessons learned from the deployments.
Bios and Abstract of Session Speakers and Panelists
Elisa Bertino, Director, Purdue Cyber Center, Professor, and Research Director, CERIAS
Elisa Bertino is director of Purdue Cyber Center. She is a professor of computer science and also Research Director of the Center for Information and Research in Information Assurance and Security (CERIAS). Prior to joining Purdue, she was a professor and department head at the Department of Computer Science and Communication of the University of Milan. She has been a visiting researcher at the IBM Research Laboratory (now Almaden) in San Jose, at the Microelectronics and Computer Technology Corporation, at Rutgers University, at Telcordia Technologies. Her recent research focuses on database security, digital identity management, policy systems, and security for web services. She is a Fellow of ACM and of IEEE. She received the IEEE Computer Society 2002 Technical Achievement Award and the IEEE Computer Society 2005 Kanai Award. She is a member of the editorial board of IEEE Transactions on Dependable and Secure Computing, and IEEE Security & Privacy. She is currently serving as chair of the ACM Special Interest Group on Security, Audit and Control (ACM SIGSAC).
Gregg Borachok, P.E., Grid Modernization Strategy and Technical Evaluation, Duke Energy
Gregg Borachok, P.E., has 24 years experience in the Electric Utility Industry and is presently leading efforts defining Duke Energy’s Grid Modernization Strategy and Technical Evaluations. He is responsible for identifying, developing, and proving out new technology capabilities for the grid and incorporating these results into Duke Energy’s overall Grid Modernization strategy. Throughout his career at Duke Energy, he has held a variety of positions including engineer, IT Architect, Project Manager, Manager Business and Technology Strategy, and Director of Smart Grid Network Systems. The roles have spanned many business units including Power Delivery, Information Technology, Customer Operations, and Grid Modernization. In 2008, he was appointed to lead the Remote Order Fulfillment (ROF) project, which provided the ability to fulfill service orders remotely for: connects, disconnects, and meter read service orders. The project won the Expanding Excellence Award at Customer Service Week in 2010. The ROF Project was chartered as a key first step in delivering greatly enhanced customer service utilizing Smart Grid technology. In 2009, he accepted the role to lead the development of the AMI organization. He was responsible for establishing a new organization and moving it from a pilot, to a fully operational organization that supported all AMI meter functions and supported several business units. The teams were responsible for the daily collections of automated meter readings across five states and included residential and all large Commercial and Industrial customers, accounting for 70% of the revenue for Duke Energy Electric Operations. Borachok received his bachelor of science in Electrical Engineering from the University of South Carolina.
Abstract – Effectively Harnessing Data Analytics to Maximize Utility and Customer Benefit
As utilities modernize the grid and invest heavily in technologies, the flow of information will grow exponentially. Utilities will need to have a solid vision, business case and roadmap for the data, while staying on top of industry advancements, research, benchmarking, etc. We must define discrete business cases to implement benefits that are tied to a long term vision. The industry is evolving and we need to be nimble to adapt. Duke Energy is focused on ensuring we have a data roadmap, governance process and analytics strategy in place to support the multitude of business cases that can be derived from analytics. Laying out an analytic strategy that supports an iterative approach to prove out theses and allows for new business case’s to be proposed as you learn more is paramount. We must be nimble as we uncover the value in the data and begin to realize the benefits. Data analytics will play an essential role in helping the utility industry move away from assumption-based information to more accurate and immediate data that can then be used to drive efficiencies and opportunities for our customers and the utility. Some of the challenges utilities face are: storage and timely processing of data, leveraging the data in existing systems that are stored in silos in the enterprise, and the need to build multi-functionality into our processes and systems so that the data can be leveraged most effectively across our business. Determining what we want is a process and we need to pace ourselves. The Utility industry can learn a lot from other sectors that have been leveraging the vast amounts of data – banking, retail, etc., and have been relying on data analytics for many years.
Abstract – The Changing Face of the Utility Worker: How the Industry Evolution is Expanding Possibilities for Future Generations.
Through grid modernization, the energy industry is poised to take advantage of emerging technologies and update its aging infrastructure with enhancements that will optimize our system, improve reliability and operations, and arm customers with more information and tools to manage their energy usage. This transformation of the traditional utility model that places more investment in technology and on the grid, means the utility must adapt and plan for new skills that will be required to harness this technology (such as data scientists) while continuing to recruit and build on traditional roles (i.e. engineers that support traditional generation). This is an exciting time for students who may be considering a career in the energy industry, as more utilities see benefit and need in rotating workforce throughout an environment – both inside a particular function as well as across different business units. Grid Modernization (GM) is a great example of this phenomenon, as our workforce strategy is flexible and dynamic, driven by the project portfolio at any given time. GM is roughly 500 resources comprised of full-time employees reporting to GM (31%), matrixed resources from our business partners (16%) and staff augmentation contractors (31%). GM leverages our IT, Finance and Business Excellence organizations (22%) for corporate services. To support this transformation, utilities are working more closely with their university relationships, particularly around R&D that creates a win-win for the university and the utility, by preparing students and helping the industry ensure they have the skills needed for the technology evolution.
Todd Clark, Vice President-Technology, Profile Systems LLC
Mr. Clark functions as the chief technology officer for Profile Systems LLC where he leverages his diverse experiences to develop and deliver innovative client solutions. Todd is one of the nation’s leading innovators of wireless monitoring and control solutions.
Some of his experiences and capabilities include the following: U.S. DOE NETL Pilot Energy Cost Control Evaluation Project where he led the technology application and systems integration of integrated indoor air quality sensors for the monitoring and ultimate control of temperature, humidity, and carbon dioxide. Coca Cola and the 1996 Atlanta Olympics where he provided technical leadership in collaborated with Coca Cola to implement the world’s first wireless 2-way outdoor advertising monitoring and control system during the 1996 Atlanta Olympics. Zigbee Integration and Application – leads a team for the development and integration of ZigBee compliant components in innovative applications for monitoring and control of utility and other end use systems. Two Way Wireless Telemetry Systems where he led a team to develop the world’s first wireless monitoring and control solution for energy management related to HVAC.
Mr. Clark has functioned as the technology leader for the 13 of the 15 year life of the nation’s leading innovator of wireless monitoring and control solutions company. At the National Network Operating Center (NOC) he led the design and implementation of a national network operations center that functions as the central repository for monitoring and control data collected at client facilities and enables web-interface for data access and set point management. This NOC is currently supporting the data collection for more than 22000 units install throughout the U.S. While at Control System Interoperability he led the development of innovative technology solutions that enabled universal interoperability of roof top air conditioning units and set point controllers through a web-based interface. Telecommunications Industry Group Software Development - part of team that developed PROFITS – project oriented financial tracking system – to support invoicing software used by most major telecommunications companies – e.g. Bell South, AT&T, Verizon.
Mr. Clark participated in a variety of university research projects – including the development of the sensors and controls for an automated bird feeder used in experimentation by the Biosciences Department – while earning his B.S. Computer and Electrical Engineering in 1993.
Dan DeLaurentis; Associate Professor, Purdue Aeronautics and Astronautics Engineering
Dan DeLaurentis is Associate Professor in the School of Aeronautics and Astronautics at Purdue University. At Purdue he directs the Center for Integrated Systems in Aerospace (and its affiliated Systems of Systems Lab) and works in areas ranging from system of systems modeling and analysis to complexity management and optimization. He is Associate Fellow of the AIAA, past Chair of the AIAA Air Transportation Technical Committee, and current serves as Deputy Strategic Technologies Coordinator for AIAA's Technical Activities Committee. He is also Co-Chair of the IEEE Systems of Systems Technical Committee and a past Associate Editor of the IEEE Systems Journal.
Abstract- Security in a System of Systems Context: Insights from Recent Initiatives
Development and evolution of ‘systems-of-systems (SoS)’ (i.e., a capability enabled by a network of collaborating systems that also retain operational and managerial independence) present challenges to the SoS AND component system architect, engineer, and program manager. In each of these roles, one must know the amount of information required to obtain verifiable operational regularities of system alternatives (i.e., their complexity) in order to make wise choices. Especially in prominent SoSs (e.g., air transportation, integrated defense, electric generation/distribution systems), multi-level and dynamic interdependencies between and among hardware and software components must be represented effectively in this context, especially when seeking to design-in security in the midst of other imperatives such as performance, efficiency, and resilience. This talk with offer insights on these issues from the vantage point of several recent research initiatives.
J. Eric. Dietz, Professor, Purdue Department of Computer and Information Technology and Director, Purdue Homeland Security Institute
J. Eric Dietz earned his Chemical Engineering bachelor’s and master’s degrees from Rose-Hulman Institute of Technology and Ph.D. from Purdue. Now director of the Purdue Homeland Security Institute and Professor in the Computer and Information Technology department, he has formerly served as founding executive director for the Indiana Department of Homeland Security. There Eric reorganized Indiana’s public safety planning and response, led development of comprehensive plans, training, and exercises needed to optimize Indiana’s emergency response, and led the state’s response to seven presidential major disasters and emergency declarations. Dietz retired from the U.S. Army in 2004, retiring as a lieutenant colonel. While serving, he led Army research and acquisition programs, including chemical weapon detectors, command and control software, and army power systems. Eric was in the initial cadre of uniformed Army scientists and engineers.
Douglas J. Gotham, Director of the State Utility Forecasting Group at Purdue University
Douglas J. Gotham has been the Director of the State Utility Forecasting Group at Purdue University since July 2005. He has worked for the group in various capacities since arriving at Purdue University in 1992, initially as a graduate research assistant before becoming a full-time research analyst in 1994. After a six-year stint in the United States Navy as a nuclear operator, he attended Michigan Technological University, where he received a Bachelor of Science in Electrical Engineering in 1992. He received his Master of Science in Electrical Engineering from Purdue University in 1993 and his Doctor of Philosophy in 1996.
Jiyuan Fan, PhD., Senior Systems Engineer, GE Digital Energy/System Engineering
Jiyuan Fan, PhD., is the Senior Systems Engineer at GE Energy Management’s Digital Energy business, Senior Member of IEEE. Jiyuan received his BS degree from Taiyuan University of Technology, Taiyuan, China in 1979, MS degree from Chinese EPRI, Beijing, China, 1982 and PhD’s degree from Clarkson University, New York, USA, 1989. He worked as a Post Doctorial Research Associate at Texas A&M University, 1989-1990. Since then, he has worked in the Power System Automation area, including SCADA, EMS, DMS, OMS, SA with the companies of Advanced Control Systems, Inc. in Atlanta, Televent Automation in Houston, Beijing Sifang Automation in China. He is currently with GE Digital Energy as the Senior System Engineer responsible for Technology and Product Planning/Development on Smart Distribution Solutions and Strategies.
Steve Fan, Senior Software Manager, GE Digital Energy/Software Solutions group
(M’07) received his B.S and M.S degree in Electrical Engineering from Georgia Institute of Technology, Atlanta GA. in 2004 and 2006, respectively. From 2006 - 2009 he worked as a lead research and development engineer at Advance Control Systems in Norcross GA, specializing in distribution automation advanced applications. In late 2009, he joined General Electric as a lead power systems engineer for advanced applications. He is currently the Senior Software Manager for the Digital Energy Software Solutions group. His main interests lie in the fields of distribution automation, advanced optimization algorithms, power system analytics, and advanced user interfaces.
Abstract: Enterprise Data Management Game Changer
Sensing, data gathering, data processing, data analysis has been a crucial part of the utility industry for year and as such it is nothing new. What is the game changer however are the breath, the depth, and the speed of the data, the so-called “big data”, that is available to the utility today. Contrary to common belief, more data is not necessarily better. Only after all facets of the available data have been examined in terms of its’ usefulness for the given goal can we say that the data is useful. Every second, an average utility has at its disposal terabytes of streaming data. Just to name a few, this data includes SCADA readings, AMI readings, crew information, maintenance logs, weather information, social media information, video streams, image streams, audio streams, etc. Generally, most of this data is being collected for audit purposes and are not being used in a meaningful manner to drive and to improve efficiency, reliability, safety, and profitability for the utility. GE’s approach to solving some of the more complicated issues plaguing the major utilities of today such as the ones listed above is to perform targeted goal specific analytics on the mostly untapped “big data” inside and outside the utility through a process called the Innovative Utility Program. The webinar will focus on “big data” and data management being a major paradigm shift for utilities and the experiences and processes that GE employs to embrace “big data”.
Steve Glover Manager, Sandia National Laboratory
(M’95) was born in Jefferson City, Missouri on February 27th, 1968. He received the associate of technology degree in electronics from Linn Technical College, Linn, Missouri, in 1990, the B.S. and M.S. degrees in electrical engineering from the University of Missouri-Rolla (Summa Cum Laude), Rolla, Missouri, in 1995 and 1997, and the Ph.D. degree with research on modeling and stability analysis of power electronics based systems from Purdue University, West Lafayette, Indiana, in 2003.
He was a Research Engineer for P.C. Krause and Associates from 1996 to 2001 where he designed and analyzed power electronics based systems. From 1997 to 1998 he served as an Associate Research Engineer with the University of Missouri-Rolla and then as a Research Engineer at Purdue University until 2003, pursuing interests in power electronics based systems. In May 2003 he joined Sandia National Laboratories, Albuquerque, NM, where he performed research in advanced power systems and components. In 2012 he became Manager of the Advanced Pulsed Power Systems Department which evolved into the Electrical Sciences and Experiments Department in 2013. His research interests include advanced microgrids, power electronics, pulsed power, high voltage sciences, and electromagnetics.
Jeffrey L. Hahn, PE, Cyber Security Manager, GE Digital Energy
Jeff recently joined GE’s Digital Energy as the Cyber Security Manager. Jeff is responsible for developing and implementing a cyber security strategy, assessing products and systems, and recommending changes to increase the integrity and reliability of GE’s Digital Energy products.
Prior to joining GE, Jeff worked at the Idaho National Laboratory (INL), where he developed and led the training program for the US Department of Homeland Security, Industrial Control Systems – Cyber Emergency Response Team (ICS-CERT). The flagship of the training courses, affectionately dubbed the red team/blue team training, provided intensive hands-on training in discovering who and what is on the network, identifying vulnerabilities, learning how those vulnerabilities may be exploited, and provided defensive and mitigation strategies for industrial control systems. These skills were then applied in a 12 hour exercise where the red team attacked, and the blue team defended an actual control systems environment.
Jeff is a professional engineer and has over 25 years of experience in both the private and public sector. He holds a bachelor’s degree in mechanical engineering from Brigham Young University.
Mahantesh Halappanavar, Senior Research, Pacific Northwest National Laboratory
Mahantesh Halappanavar is a senior research scientist with the Computational Sciences and Mathematics Division at the Pacific Northwest National Laboratory. He received his MS and PhD degrees in Computer Science from the Old Dominion University in 2003 and 2009 respectively. His research focuses on the design and implementation of parallel combinatorial (graph) algorithms targeting several application areas including analysis of electric power grids, cyber security, statistical textual analysis, numerical linear algebra, and machine learning. He explores the interplay of algorithm design, architectural features, and input characteristics targeting massively multithreaded architectures such as the Cray XMT, emerging multicore and many core platforms, and massively parallel processors.
Sherman D. Johnson, Executive Director, Corporate College, Ivy Tech Community College of Indiana
Currently Johnson is the Project Director for the Ivy Tech led Crossroads Smart Grid Training Project (a DOE $4.7 million grant). This joint-project with Purdue University has provided education and training to 17,602 students and incumbent utility workers, developed 28 new courses and provided 383 semester scholarships for students in courses and training relevant to Smart Grid. In addition, Johnson is the Co-Chair of the Indiana Energy Consortium. He is also a member of Ivy Tech’s Sector Engagement Teams focusing on Advanced Manufacturing, Transportation, Distribution & Logistics (TDL) and the Energy Sector. His work with the College’s Advanced Manufacturing Initiative has a special emphasis on the implementation of the Manufacturing Skill Standards Council (MSSC) curriculum and assessments for Advanced Manufacturing, Logistics, and Green Production Workers, for which Indiana is the national leader in awarding MSSC Certified Production Technician certification. Johnson joined Ivy Tech Corporate College as Executive Director of Research and Development in May, 2006. He is responsible for identifying and developing the emerging market training needs of Indiana industries and for those businesses seeking to locate new operations within the state’s borders by developing an Indiana workforce focused and trained to meet the technical skill needs of high demand/high wage jobs. Johnson is a graduate of Michigan State University.
Ivy Tech Community College is the state’s largest public postsecondary institution and the nation’s largest singly accredited statewide community college system serving nearly 200,000 students annually. Ivy Tech has campuses throughout Indiana. It serves as the state’s engine of workforce development, offering affordable degree programs and training that are aligned with the needs of its community along with courses and programs that transfer to other colleges and universities in Indiana. It is accredited by the Higher Learning Commission and a member of the North Central Association.
Robert Kramer, NiSource Charitable Foundation Professor of Energy and the Environment
Professor of Physics, Director of the Energy Efficiency and Reliability Center, Purdue University Calumet
Dr. Kramer has conducted a variety of energy and energy efficiency research and development projects and programs. His research projects range from enhancing reliability of bulk electric transmission systems to high efficiency local generation sources utilizing Combined Heat and Power. Energy sources such as microturbines, reciprocating engines, fuel cells, solar, coal, hydrogen, and biomass are considered in this work. Current research efforts include: advanced control schemes utilizing neural networks and fuzzy logic in a feed forward configuration for industrial as well as commercial and building applications; wireless communications and control; production of liquid transportation fuels, fertilizer, coke, and bulk hydrogen from coal; biological production of hydrogen; control of large industrial loads to improve electric transmission system reliability; combined heat and power; industrial energy efficiency; building energy efficiency; renewable energy systems; nuclear reactor engineering; and production of hydrogen from an aluminum-water process.
He is an alumnus of Purdue University with a Ph.D. in Nuclear Engineering, M.S. in Nuclear Engineering and Physics, and a B.S. in Physics
Ben Kroposki, Director of Energy Systems Integration, National Renewable Energy Laboratory
As the Director of Energy Systems Integration, Dr. Ben Kroposki leads NREL’s strategic research in the design and performance optimization of electrical, thermal, and fuel pathways for energy systems at all scales. He received his BS and MS in Electrical Engineering from Virginia Tech and PhD in Engineering Systems from the Colorado School of Mines. His expertise is in the design and testing of renewable and distributed power systems and grid integration. He has written more than 100 publications in these areas and is the guest editor for IEEE Power & Energy Magazine special issues on solar energy integration. Dr. Kroposki is also an Editor for both the IEEE Transactions on Sustainable Energy and IEEE PV Journal. Dr. Kroposki also participates in the development of distributed power and renewable standards and codes and served as the Chairman for IEEE 1547.4 “Guide for Design, Operation, and Integration of Distributed Resource Island Systems with Electric Power Systems”.
Abstract - Energy Systems Integration Facility – supporting a clean energy future
The National Renewable Energy Laboratory (NREL) recently opened the Energy Systems Integration Facility (ESIF) in Golden, CO. This 182,500ft2 facility is the largest R&D facility on NREL’s campus with a focus on research and development of clean energy technologies such as variable renewable generation, smart load controls, and electric vehicles that are being deployed in the electric power system at an increasing rate. ESIF research seeks to connect the simulation environments with demonstration of technology at scale through hardware-in-the-loop testing. Dr. Kroposki will discuss how ESIF will demonstrate this kind of research, and assist in the convergence between electricity, thermal, and fuel systems, leading to optimized energy use.
Sven Leyffer, SIAM Vice President for Programs, a co-editor of Mathematical Programming and an editor-in-chief of Mathematical Methods of Operations Research, Argonne National Laboratory
Sven obtained his Ph.D. in 1994 from the University of Dundee, working on mixed-integer nonlinear programming problems with Roger Fletcher. He has held postdoc positions at Dundee, Northwestern, and Argonne, where he now works as a computational mathematician in theMathematics and Computer Science Division. Sven is a Senior Fellow of the Computation Institute at the University of Chicago.
Sven is the current SIAM Vice President for Programs, a co-editor of Mathematical Programming and an editor-in-chief of Mathematical Methods of Operations Research. He serves on the editorial board of Computational Optimization and Applications. In addition, Sven edits the SIAG/OPT Views-and-News. He has served as the INFORMS Optimization Vice-Chair for nonlinear programming and as the Program Director of the SIAM activity group on optimization. For other appointments, see this list of other appointments.
Together with Roger Fletcher and Philippe L. Toint, Sven was awarded the Lagrange prize in optimization in 2006. In 2009, Sven became a SIAM Fellow.
Ninghui Li, Associate Professor of Computer Science, Purdue University
Prof. Ninghui Li joined Purdue University in August 2003 as an Assistant Professor in Computer Science. His research interests are in computer security and applied cryptography, e.g., security and privacy in distributed systems, networks, databases, and electronic commerce, with a focus on access control.
Prof. Li has worked extensively on trust management and automated trust negotiation, which are approaches to access control in decentralized, open, and distributed systems. In his Ph.D. thesis work, he designed and implemented Delegation Logic, a logic-based language for distributed authorization. While at Stanford, he has designed, together with Professors John Mitchell and Dr. Will Winsborough, the RT Role-based Trust-management framework, efficient goal-directed algorithms to do distributed credential chain discovery, logic-based semantic foundations for security policy languages, and algorithms and computational complexity characterization for analyzing properties of security policies such as safety and availability.
Professor Li's recent research focuses on role-based access control, online privacy protection, access control policy specification and analysis, and operating system access control. He has graduated 2 Ph.D. students and are currently supervising 6 Ph.D. students. His research is currently supported by 3 NSF projects and a project funded by IBM. In 2005, he was awarded the NSF CAREER award for proposed work on "Access Control Policy Verification Through Security Analysis and Insider Threat Assessment".
Professor Li received a Ph.D. in Computer Science from New York University in September 2000. Before joining Purdue, he was a research associate at Computer Science Department, Stanford University. He has served on the Program Committees of more than two dozen conferences and workshops in information security, including the IEEE Symposium on Security and Privacy, ACM Conference on computer and Communications Security (CCS), the ISOC Network and Distributed System Security Symposium (NDSS), International Conference on Data Engineering, ACM Symposium on Access Control Models and Technologies (SACMAT), and IEEE Computer Security Foundations Workshop (CSFW).
Andrew Liu; Assistant Professor, Industrial Engineering, Purdue University
Andrew Liu is an Assistant Professor in Industrial Engineering at Purdue University. He obtained his undergraduate degree in Applied Mathematics at Beijing Institute of Technology, Beijing, China in 2000, and then a M.S. and Ph.D. in Applied Mathematics at Johns Hopkins University in 2009
Dr. Liu’s research interests include energy and environmental markets, systems and policy modeling and analysis, optimization, complementarity problems, and variational inequalities, with applications to game theory and industrial organization, and investment under uncertainty and competition, portfolio optimization, and risk management in energy markets.
Maureen McCann, Director of Purdue’s Energy Center and Center for Direct Catalytic Conversion of Biomass to Biofuels (C3Bio); Professor of Biological Sciences, Purdue University
Maureen McCann is the Director of Purdue’s Energy Center, part of the Global Sustainability Institute in Discovery Park. She obtained her undergraduate degree in Natural Sciences from the University of Cambridge, UK, in 1987, and then a PhD in Botany at the John Innes Centre, Norwich UK, a government-funded research institute for plant and microbial sciences. She stayed at the John Innes Centre for a post-doctoral, partly funded by Unilever, and then as a project leader with her own group from 1995, funded by The Royal Society. In January 2003, she moved to Purdue University as an Associate Professor, and she is currently a Professor in the Department of Biological Sciences.
The goal of her research is to understand how the molecular machinery of the plant cell wall contributes to cell growth and specialization, and thus to the final stature and form of plants. Plant cell walls are the source of lignocellulosic biomass, an untapped and sustainable resource for biofuels production with the potential to reduce oil dependence, improve national security, and boost rural economies. She is also the Director of the Center for Direct Catalytic Conversion of Biomass to Biofuels (C3Bio), an interdisciplinary team of biologists, chemists and chemical engineers in an Energy Frontier Research Center funded by the US Department of Energy’s Office of Science.
Bob Pauley, Chief Economist, Eastern Interconnection State’s Planning Council
Bob has about 40 years of experience in the electric utility industry. Primarily, Bob has worked with rate design, demand-response, load research, load forecasting, and system planning within the electric industry. Bob also has some experience with the natural gas industry. During the first Oil Embargo, Bob worked as a graduate student for the Oklahoma legislature on natural gas issues. After graduate school, Bob conducted a study of electric utilities in Kansas, Nebraska, Iowa, and Missouri for the Department of Energy. Bob has worked 15 years, in various capacities, for the electric utility in Houston. During this period, Bob worked on two Electric Power Research Advisory Committees. Bob then served as Manager of Rates and Regulatory Affairs for a utility in Colorado, and as Manager of Rates and Director of Regulatory Affairs for Arizona Electric Power. Bob worked two years as Chief Economist for the Kansas Corporation Commission and began work in a similar position with the Indiana Utility Regulatory Commission for about 20 years. During his work with the Indiana Commission, Bob has worked on a variety of issues and worked with the Mid-Continent ISO since its formation. Bob has also worked with the States within the PJM. For the last four years, Bob has been working with the Eastern Interconnection States’ Planning Council as its Chief Economist under a funding opportunity from the Department of Energy.
Abstract: The Benefits of Broad Regional Operations and Planning of the Electric System
The primary focus of my discussion will be the importance of broad regional planning and operations of energy systems. At the outset of my career in the early 1970s, I was fortunate to have been mentored by some of the best and the brightest. Dr. Harry Trebling and Dr. David Schwartz, in response to my question, “What in your opinion is the most significant legal barrier to a more efficient power system” said “Elimination of the discriminatory use of the electric transmission system.” They argued that anticompetitive use prevented efficient power exchanges and limited the scope of long-term planning that reduced customer benefits.
Working for Houston Lighting & Power in the 1970s, I wrote a proposal suggesting there were reliability and economic benefits from interconnecting the Electric Reliability Council of Texas to the Southwest Power Pool and engaging in central dispatch for ERCOT. While working at the Kansas Corporation Commission in the early 1980s, we analyzed the hourly system lambdas of the utilities within the Southwest Power Pool and discovered, not surprisingly, there a high incidence of substantial hourly differences in the hourly reported cost of producing electricity. The Indiana Commission and the State Utility Forecasting Group, in about 1990, conducted a similar analysis of hourly operating costs for Indiana utilities and concluded that utilities could have saved in excess of $70 million per year by having a more efficient means of exchanging power.
Beginning in the 1980s, the Federal Energy Regulatory Commission began to aggressively act against the discriminatory use of the transmission system and pancaked transmission rates. This led to the development of Regional Transmission Organizations such as the Midcontinent Independent System Operator and the reconstitution of PJM and other tight power pools in the Eastern Interconnection. The evolution of the ISOs / RTOs has demonstrated the enormous economic benefits of regional operations and planning. The ISOs / RTOs have also demonstrated the untapped potential for continued enhancements.
The work of the states –including work with Doug Gotham, Andrew Liu, and Paul Preckel, planning coordinators such as JT Smith, the National Laboratories, consultants, and other experts within the Eastern Interconnection provides empirical support for the argument there is potential for improved efficiencies in the broad regional operations and planning of the Nation’s energy systems.
Scott Peters, Technical Director, Sypris Electronics
Scott Peters, PMP, PSM, CSPO is a technical director at Sypris Electronics, LLC with over 19 years of industry and research experience. Scott holds a Bachelor’s and a Master’s Degree in Electrical Engineering from Florida State University’s FAMU/FSU College of Engineering.
Scott leads teams of systems, electrical, mechanical, and software engineers through the process of developing advanced trusted cyber security solutions. His job activities blend People, Process, Technology, Tools, and Training to create an environment that fosters creativity, removes roadblocks, and improves processes while keeping a close eye on project deadlines and goals.
Scott is currently the lead engineer at the newly established Sypris Research Center located in the Purdue Research Park here in West Lafayette. This office as established to lead the way for cyber research in key management, secure control systems, secure computing architectures, encryption, and identity authentication.
When not in the lab, Scott enjoys working with engineering and other parts of the Sypris organization to deploy agile project management techniques and tools to streamline the product development process. A recent accomplishment includes the full transition of all engineering development projects to the Scrum agile process.
Alex Pothen, Professor of Computer Science, Purdue University
Alex Pothen is a professor of computer science at Purdue University, and served as the Director of the CSCAPES Institute funded by the U.S. Department of Energy, which focused on combinatorial algorithms to enable computational science and engineering on extreme-scale computers. Alex’s research interests span parallel computing, computational science and engineering, and bioinformatics. Alex received an undergraduate degree from the Indian Institute of Technology, Delhi, and a PhD from Cornell. He serves as an editor of the Journal of the ACM, the SIAM Review, SIAM Books and other publications. Alex has received a National Science Talent Scholarship, the Director’s Silver Medal and a Distinguished Alumnus award from IIT Delhi, a Cornell fellowship, an IBM University Research award, and a distinguished teaching award. His advisees hold positions at Penn State, University of Waterloo, University of British Columbia, IBM, Microsoft, Conviva Corporation, Oracle Corporation, Lawrence Livermore National Lab, Pacific Northwest National Lab, etc.
Leon Reznik, Professor of computer Science, Rochester Institute of Technology (RIT), New York, USA.
Leon Reznik is a Professor of Computer Science at the Rochester Institute of Technology, New York, USA. He received his BS/MS degree in Computer Control Systems in 1978 and a PhD degree in Engineering specializing in Information and Measurement Systems in 1983 and worked within the industry and academia in Russia, Australia and USA .
Prof. Reznik is an author of the textbook “Fuzzy Controllers” (Elsevier-Butterworth-Heinemann, Oxford, 1997) and an editor of “Fuzzy System Design: Social and Engineering Applications” (Physica Verlag, 1998), “Soft Computing in Measurement and Information Acquisition” (Springer, 2003), “Advancing Computing and Information Sciences” (Cary Graphic Arts Press, 2005).
Dr. Reznik’s research concentrates on study and development of intelligent software systems for control, power engineering and computer networks, sensor networks and systems as well as on cybersecurity. He is interested in developing a new methodology of data quality evaluation and assurance that includes various aspects of accuracy, reliability, security and trust.
Abstract: Quality data for quality of energy systems operation
Over half a century since their introduction into an energy industry, SCADA systems have grown up into distributed over large areas computer systems and sensor networks, which have to control an acquisition, communication and processing of huge amounts of heterogeneous data in a real time mode. In order to assure the quality of operation of whole energy systems, the quality of data (DQ) needs to be assured even under the conditions of possible malfunctioning and/or deliberate malicious actions, whose probability has significantly increased over the last decade. DQ indicators provision alongside with the data will enable optimization of SCADA control and interaction and will facilitate intelligent decision making and fusion procedures.
The talk proposes a novel concept of evaluating and assuring DQ in multichannel SCADA systems employed in energy systems. The approach integrates various DQ indicators ranging from traditional data accuracy metrics to the equipment reliability and network security and safety measures. It demonstrates the advantage of including security metrics into the DQ evaluation for the design optimization of data fusion procedures and the whole SCADA design and implementation. The DQ metrics composition and calculus are discussed. Energy system application DQ examples are presented.
Ahmed H. Sameh, Professor of Computer Science, Purdue University
Ahmed Sameh is the Samuel D. Conte Professor of Computer Science. His current research interests include numerical linear algebra, and the design and performance analysis of parallel numerical algorithms needed in various science and engineering applications. He has served on the editorial boards of: IEEE Transactions on Computers, Computing, SIAM Journal on Scientific and Statistical Computing, Parallel Computing, Journal of Parallel and Distributed Computing, Computer Physics Communications, International Journal of High Speed Computing, Numerical Linear Algebra with Applications, IEEE Computing in Science and Engineering, and International Journal of Parallel Programming.
He joined Purdue in 1997 as Head of Computer Science, after being head of computer science at the University of Minnesota, Minneapolis, and the holder of the William Norris Chair for Large-Scale Computing. He was also a faculty member in the Department of Computer Science at the University of Illinois at Urbana-Champaign, from 1968 to 1991, and 1992-93. During his tenure at Illinois, he served as an associate director, and director, of the Center for Supercomputing Research and Development (CSRD).
He is a Fellow of ACM, IEEE, AAAS, SIAM, and IACM. He has also received the IEEE's 1999 Harry Goode Award for "seminal and influential work in parallel numerical algorithms.
Joan Soller, P.E., Manager, Indianapolis Power and Light (IPL)
Joan Soller, P.E., Manager, Transmission Operations, received a Bachelor of Electrical Engineering degree from the University of Dayton and is pursuing an MBA at the University of Indianapolis. She has worked in the electric utility industry for 22 years including 3 years at IPL. Joan serves as liaison to the DOE and is responsible for the administrative coordination of the smart grid project and grant compliance as a Technical Advisor.
Pankaj Sharma, Ph.D., MBA, Managing Director, Energy Center, Global Sustainability Institute Discovery Park
Pankaj Sharma holds a Ph.D. in physics and a master’s degree in solid-state physics. He has an MBA from Purdue University and an Advanced Certificate in Applied Computer and Information Technology, Rochester Institute of Technology. His field of research has been application of radioactivity for dating and tracing in geological and biomedical systems. He has published over one hundred research papers in international journals. Dr. Sharma joined Discovery Park at its inception in 2002 as an Associate Director for Operations and International Affairs at Discovery Park. The Discovery Park is Purdue's $750 million home to the university's large-scale interdisciplinary research efforts. Currently, he is a managing director for the Energy Center, Global Sustainability Institute at Purdue’s Office of the Vice President for Research. He also currently holds a courtesy associate professor appointment in Technology, Leadership, and Innovation (College of Technology). Recently, Pankaj was also selected ‘Fulbright New Century Scholar 2009-2010. Before coming to Purdue in 1993, Dr. Sharma was a researcher at the University of South Carolina, the University of Pennsylvania and the University of Rochester.
Frederick (Rick) T. Sheldon, Senior Research Scientist, Oak Ridge National Laboratory, Computational Sciences and Engineering
Frederick T. Sheldon is a senior research scientist at Oak Ridge National Laboratory. His research interests include developing and validating models, applications, methods, and tools for creating safe, secure, and dependable systems. He's published over 100 papers and edited five books concerned with developing and validating models, applications, methods and tools for the creation of safe, secure and dependable infrastructure and systems. He holds 12 IDs/patent pending, is Sr. Member IEEE and received: Sigma Xi outstanding dissertation award; key contributor & several significant event awards from UT-Battelle. He's chaired the CSIIR Workshop for eight years among other venues, and Co-PIs projects: CKMS, SCI-FI for CEDS, participates on the NESCOR team and the IRCS (Intrusion Resilient Cloud Services) middleware project for AFOSR. He has served as a guest editor and is an active PC member for several cyber conferences, panelist and invited speaker. Sheldon has a PhD in computer science from the University of Texas at Arlington. He’s a senior member of IEEE.
Abstract: Supply Chain Integration For Integrity (SCI-FI): Policy and architecture for built-in supply chain integrity of trusted components for Electric Delivery Systems (EDS)
On January 25, 2012, President Obama announced the National Strategy for Global Supply Chain Security to address security risks that weaken critical infrastructure resilience and increase the need for security protection. The strategy focused on the worldwide network of transportation, postal, shipping assets, and supporting infrastructures, articulates our national vision and approach, and encourages collaborative implementation among key national and international stakeholders.
The SCI-FI project addresses those critical risks and empowers a multi-laboratory (PNNL, LLNL and ORNL) interdisciplinary collaboration involving vendors and asset owners to address the challenges of supply chain in an integrated manner. The project is divided into three prongs: 1) Evaluate policy and architecture for built-in supply chain integrity of trusted components, 2) Analyze software and firmware to be malware-free, and 3) Address hardware supply chain concerns using non-destructive means to assure no unintended functionality.
To implement and enforce policy specifications, a hardware Root of Trust is used to create a transitive trust chain to verify that all necessary software components are trusted. The chain of trust is created by measuring each component using a standardized hashing technique to verify the expected hash values stored in protected registers are correct before the component is run. This aspect of the SCI-FI project is evaluating the Trusted Computing Base (TCB)/Transitive Root of Trust (TRoT) architecture as the reference architecture for interoperable communications across the Smart Grid.
To summarize, we seek to create a total quality management system for building supply chain integrity into the procured systems using an integrated (technology driven) approach and that allows the team to leverage their specific capabilities to that end. The takeaways will include a reference architecture for trusted computing and policy specification. We will demonstrate that TRoT is scalable to a multi-nodal EDS system, and that meaningful, relevant to EDS systems TCB policies are enforceable. A trust schema is being planned that may be used as an appropriate Energy Delivery System (EDS ) network architecture that includes enforceable policy specifications. Moreover, we expect this trust schema to form the basis for establishing total quality management assured EDS supply chain integrity best practices (i.e., analyzes software, firmware and hardware to ensure no unintended functionality) and interoperability. The technologies developed will be made available for Smart Grid asset owners and vendors.
Amit Sheth, Ohio Eminent Scholar, Wright State University
Amit P. Sheth is an educator, researcher, and entrepreneur. He is a LexisNexis Eminent Scholar and the executive director of the Ohio Center of Excellent in Knowledge-enabled Computing, www.kno.e.sis.org, at Wright State University. Kno.e.sis conducts largely multidisciplinary research in Web 3.0/Semantic Web/Social Web/Sensor Web and applications to healthcare and life sciences, material sciences, cognitive science, and defense/intelligence. Kno.e.sis' activities have resulted in Wright State University recognized as a top organization in the world on World Wide Web in research impact. Prof. Sheth's research has led to several commercial products, many real-world applications and three companies. He is an IEEE Fellow and among the 100 most cited authors in Computer Science (h-index of 80). http://knoesis.org/amit, http://facebook.com/Kno.e.sis
Abstract: Transforming Big Data into Smart Data: Deriving Value via harnessing Volume, Variety and Velocity
Big Data has captured much interest in research and industry, with anticipation of better decisions, efficient organizations, and many new jobs. Much of the emphasis is on technology that handles volume, including storage and computational techniques to support analysis (Hadoop, NoSQL, MapReduce, etc), and the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity. However, the most important feature of data, the raison d'etre, is neither volume, variety, velocity, nor veracity -- but value. In this talk, I will emphasize the significance of Smart Data, and discuss how it is can be realized by extracting value from Big Data. Accomplishing this task requires organized ways to harness and overcome the original four V-challenges; and while the technologies currently touted may provide some necessary infrastructure-- they are far from sufficient. In particular, we will need to utilize metadata, employ semantics and intelligent processing, and leverage some of the extensive work that predates Big Data.
For achieving energy sustainability, Smart Grids are known to transform the way we generate, distribute, and consume power. Unprecedented amount of data is being collected from smart meters, smart devices, and sensors all throughout the power grid. I will discuss the central question of deriving Value from the entire smart grid data deluge by discussing novel algorithms and techniques such as Semantic Perception for dealing with Velocity, use of ontologies and vocabularies for dealing with Variety, and Continuous Semantics for dealing with Velocity. I will discuss scenarios that exemplify the process of deriving Value from Big Data in the context of Smart Grid.
Additional background is at: http://wiki.knoesis.org/index.php/Smart_Data
JT Smith, Manager, Policy Studies, Mid-Continent ISO
JT Smith is the Manager of Policy Studies at MISO. JT has been with MISO since 2006 where he worked in the development of a long-term economic transmission planning process utilizing capacity expansion models and production cost models. JT was project manager for the Regional Generation Outlet Study and is currently focusing much of his time towards issues around generation fleet compliance with the recently proposed EPA rules and the natural gas-electric systems interdependencies. Prior to MISO, JT worked five years for American Electric Power as a Transmission Planning Engineer. JT received his BSEE from Mississippi State University and an MBA from Oklahoma State University.
Kevin Smith, President and C.E.O., Union Station Technology Center
Kevin Smith is a serial entrepreneur, technologist, and inventor of varied background, interests, and talents. Smith started in his father’s sheet metal company, where he worked until graduate school, when he directed Notre Dame’s psychophysiology laboratory. Published as an undergraduate, Smith was recruited by the Swiss Government to research artificial intelligence and learning strategies. Upon his return to the US, Smith formed a microchip company, Softchip Technologies. Smith purchased the fifty-year-old dilapidated train station, Union Station, during Softchip’s expansion, which he then renovated for public use. Union Station’s concrete construction and proximity to the railroad made it a prime location for fiber optic cables and early telecommunication providers, and Smith again transformed Union Station into a carrier hotel and data center. Smith’s reputation for managing energy and technology has allowed Union Station Technology Center to become Indiana’s second largest carrier hotel, and the region’s largest data center. Mr. Smith currently owns and operates eight independent companies, including more than 180,000 square feet of property, more than 150 miles of fiber optic cables, and three patents in energy and technology. Smith’s most recent acquisition is the only remaining Studebaker manufacturing building in existence. Smith plans to repurpose this million square foot icon as a multi-use technology center for the economic revitalization of South Bend.
Oleg Wasynczuk, Professor, ECE, Purdue University
Oleg Wasynczuk received the B.S.E.E. degree in electrical engineering from Bradley University, Peoria, IL, in 1976, and the M.S.E.E. and Ph.D. degrees in electrical engineering from Purdue University, West Lafayette, IN, in 1977 and 1979, respectively. He is currently a Professor in the School of Electrical and Computer Engineering, Purdue University. He is the author or coauthor of more than 100 technical papers, and the coauthor of two books entitled "Analysis of Electric Machinery and Drive Systems" and "Electromechanical Motion Devices" both published IEEE press/Wiley. His current research interests include power system dynamics and control, and the analysis and design of electromechanical devices. Prof. Wasynczuk is a past Chair of the Generator Subcommittee of the Electric Machinery Committee of the IEEE.
J.W. (Jim) Wheeler, Senior Associate, PQR, LLC and Thomas P. Miller and Associates
Jim Wheeler is a Senior Associate with PQR, LLC (energy and strategy consulting) and with Thomas P. Miller and Associates (TPMA-workforce and economic development consulting). Primary areas of concentration include energy, technology-based economic development, defense, university engagement, and advanced manufacturing. Notable current and recent projects include: Partnering with Purdue University and Ivy Tech Community College in development of modules and courses for the full range of industry requirements for Smart Grid Deployment; an assessment of North Dakota’s University Centers of Excellence Program: economic impact assessments of the Purdue Research Park Network, Indiana State University, and Ohio University; multiple regional and industry “cluster strategies;” strategic planning for transportation, distribution and logistics clients; and multiple energy strategy and implementation projects.
Jim came to TPMA from Electricore – a consortium of companies and universities focused on advanced technology development, primarily for energy systems – where he served as the Director of Midwest Operations. Previously, as Executive Vice President for TechPoint – a merger between Indiana Technology Partnership (ITP) and Indiana Information Technology Association (INITA) – and President of ITP, he served as a leader for the Indiana technology community’s public policy and economic development initiatives.
Previously, Wheeler joined Arthur Andersen to launch the Indiana Strategy, Finance, and Economics Consulting practice. Accepted into the Partnership in September 1999, he was assigned to lead for Government Services for Central Region. Prior to joining Andersen, Jim served as Assistant Professor at Florida International University and Instructor at Rutgers University, before beginning a 19-year career with Hudson Institute, ultimately directing both International Programs and Defense Industry Research.
Mr. Wheeler completed his undergraduate studies at the University of Missouri and his masters and doctoral studies at Rutgers University, all in Economics.
Victor Zavala, Assistant Computational Mathematician, Mathematics and Computer Science Division Argonne National Laboratory
Victor M. Zavala is an assistant computational mathematician in the Mathematics and Computer Science Division at Argonne National Laboratory. He is also a fellow in the Computation Institute at the University of Chicago. He received his B.Sc. degree from Universidad Iberoamericana (2003) and his Ph.D. degree from Carnegie Mellon University (2008), both in chemical engineering. He is currently a recipient of the US Department of Energy (DOE)-Office of Science Early Career Award (2013-2018) under which he develops next-generation algorithms for optimization under uncertainty. He also leads an advanced grid modeling project funded by DOE Office of Electricity to develop and test large-scale power grid models and he participates in the Multifaceted Mathematics for Complex Energy Systems project funded by DOE Office of Science. His research interests are in the areas of mathematical modeling of energy and power systems, uncertainty modeling, stochastic optimization, and real-time operations.
Abstract: Predictive Control for Building Systems: Economic Advantages and Deployment Barriers
We discuss economic advantages and deployment barriers of predictive control in building systems. Predictive control provides unprecedented potential for building energy management and advanced power grid operations as it can minimize energy levels, shape demand profiles, and anticipate market conditions to enable bidding and demand response. To achieve tangible impact in grid operations, however, it is necessary to reach high deployment levels which is in turn constrained by technology costs and potential paybacks. In this context, we argue that there exist two technical obstacles that need to be addressed: i) the lack of systematic ways to quantify energy savings, and ii) the limited understanding of energy reduction potential. To address i) we present recent results on Measurement and Verification (M&V) of energy savings using a real deployment study at Argonne's Advanced Photon Source building. To address ii) we present computational results providing evidence that it is possible to reach energy reduction levels of 50-80% by simultaneously co-optimizing air supply, ventilation, humidity, and pressure systems and by systematically trading off comfort and energy.
Michael Zhu, Professor, Statistics department, Purdue University
Michael Zhu is a Professor of Statistics in the Department of Statistics in the College of Science at Purdue University. He obtained his undergraduate degree and M.S. in Applied Mathematics at Tsinghua University. Dr. Zhu then completed his PhD. in Statistics at the University of Michigan. In 2005 he received the Teaching for Tomorrow Award.
Dr. Zhu’s research interests include: Bayesian, computational methods for statistical inference, data mining, data visualization, experimental design, machine learning, and massive data. Dr. Zhu create the software package called the POME: Possion Mixed-Effects Regression for RNA-seq Data in 2011 and has been published in many peer reviewed journals, contributed chapter and written books.
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