Future Electrification beyond the More Electric Aircraft 🗓

— hybrid propulsion, energy conversion, status, trends, advantages, limitations …

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Webinar Date: Thursday, February 15, 2018
Time: 11:00 AM (ET)
Speaker: Hao Huang, GE Aviation – Electrical Power
Sponsors: IEEE Transportation Electrification Community, with the IEEE Industry Applications Society
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: tec.ieee.org/
Summary: Aerospace is experiencing its third major technological advancement. The biggest milestone of the first major advancement was the human historic first flight by Wright Brothers in 1903, and the biggest milestone of the second was the introduction of the turbojet in 1939. The third major advancement involves the electrification of aircraft including more electric aircraft (MEA), hybrid electrical propulsion (HEP), etc. Energy conversion plays an important role in this major advancement. With this big wave of change on going, the speaker will first introduce the status, trend, advantages, and limitations of more electric aircraft (MEA), followed by a talk about the status, trend, progress, and limitations of turbo engine based aircraft propulsion. From there, he will lead a discussion on the necessity and benefits of the electrification beyond the MEA including hybrid electric propulsion, the new opportunities associated with, and the technology bricks needed to further this advancement. Finally, the challenges of the electrification beyond MEA and the relationship between HEP and MEA will be explored.
Bio: Dr. Hao Huang is the Technology Chief of GE Aviation-Electrical Power. He is responsible for generating the technical directions, innovation strategies, and multi-generation product roadmaps for the GE aircraft electrical power division. He has been constantly leading and involving innovations and inventions of aircraft electrical power technologies.
Dr. Huang is an IEEE fellow and an SAE fellow. He received his Ph.D. Degree in Electrical Engineering from the University of Colorado at Boulder in 1987. He has 30 years of experience in Aircraft Electrical Power Systems, Power Generation, Engine Starting, Power Electronics and Controls, and electric vehicle drives. Dr. Huang has had 50 US patents including pending, and he has multiple technical publications in the above-mentioned areas.

Enhancing Vehicle Dynamics and Energy Efficiency in Electric Vehicles with Multiple Motors Via Torque Vectoring 🗓

— energy efficiency, stability control, torque allocation, net traction force, cornering response, experimental results …

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Webinar Date: Thursday, April 12, 2018
Time: 11:00 AM (ET)
Speaker: Basilio Lenzo, Sheffield Hallam University, UK
Sponsor: IEEE Transportation Electrification Community
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: tec.ieee.org/
Summary: Electric vehicles with multiple motors allow torque-vectoring (TV), i.e. the individual control of each drivetrain. TV has been largely studied in the literature since it can provide significant benefits in terms of vehicle safety and drivability. This webinar analyses recent experimental results of the EU FP7 Projects EVECTOORC and iCOMPOSE, in which torque vectoring is exploited for: i) enhancing vehicle dynamics; ii) maximising energy efficiency.
TV can enhance the handling qualities of a vehicle well beyond the capabilities achievable with conventional stability control systems, as it intervenes seamlessly and continuously without variation of the net traction force. A direct yaw moment can be generated through different torque allocation at the left and right sides of the vehicle, allowing the design of the cornering response of the vehicle. For instance, a “Sport” driving mode was designed to reduce the understeer gradient, extend the region of linear vehicle operation, and increase the maximum lateral acceleration compared to the passive vehicle.
As regards energy efficiency improvement, a simple and effective torque distribution strategy was developed. Basically, the torque demand on each vehicle side is compared to a “switching torque” value (function of the vehicle speed) which is defined based on the experimental measurements of the drivetrain power loss characteristic. The developed energy efficient torque distribution algorithm allows energy savings typically between 2% and 3% along common driving cycles, and up to ~4% during cornering conditions with respect to fixed torque distribution strategies.

Bio: Basilio Lenzo received the M.Sc. degree in mechanical engineering from the University of Pisa and Sant’Anna University in 2010. He received his Ph.D. degree in robotics from Sant’Anna University in 2013.
In 2010, he was an R&D Intern with Ferrari F1. In 2013, he was a Visiting Researcher at the University of Delaware and Columbia University. In 2013, he was appointed as a Research Fellow with Sant’Anna University, focusing on kinematics and dynamics of robotic mechanisms. He obtained the “Marzotto” grant providing 250,000 Euro for a robotics startup developed at PercRo (Perceptual Robotics Laboratory, Sant’Anna University). In 2014 he won the Bernardo Nobile award for the best PhD thesis resulting in a patent application.
In 2015-2016, he was a Research Fellow with the Centre for Automotive Engineering, University of Surrey, UK. His research was focused on vehicle dynamics and control (European Project iCOMPOSE), dealing with: development of vehicle simulation models and state-of-the-art controllers for vehicle dynamics and energy management; experimental assessments of the performance of such controllers on rolling road facilities and proving grounds. In 2015, he obtained the MIT Young Innovators Under 35 Italy award. He was also invited to give a TED talk at TEDxBergamo2015.
Since September 2016, he has been a Senior Lecturer in Automotive Engineering with Sheffield Hallam University, UK. His teaching/research interests include vehicle dynamics, control, and robotics.

Power Electronics-Enabled Autonomous Power Systems – Synchronized and Democratized (SYNDEM) Smart Grids 🗓

— distributed energy resources, flexible loads, virtual synchronous machines, reduced complexity, improved performance, resiliency …

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Webinar Date: Tuesday, March 20, 2018
Time: 11:00 AM (ET)
Speaker: Dr. Qing-Chang Zhong, Illinois Institute of Technology, and Founder, Syndem LLC
Sponsor: IEEE Power Electronics Society
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: www.ieee-pels.org
Summary: Power systems are going through a paradigm change from the current power systems dominated by electric machines to the next-generation smart grid enabled by power electronics, presenting a great opportunity to the power electronics society. In this lecture, it will be shown that the power electronic converters in millions of active, intermittent, non-synchronous, variable and distributed energy resources and flexible loads can be controlled to behave like virtual synchronous machines (VSM). They can all take part in the regulation of power system frequency and voltage via independent individual actions in a synchronized and democratized manner, leading to synchronized and democratized smart grids. Moreover, the dedicated synchronisation units, often phase-locked-loops, can be removed to further reduce complexity and improve performance. These active distributed players only require local information and communicate with each other through the power network, rather than through additional communication infrastructure, bringing stability, scalability, operability, reliability, security and resiliency to next-generation smart grids.
Bio: Dr. Qing-Chang Zhong, Fellow of IEEE and IET, is the Max McGraw Endowed Chair Professor in Energy and Power Engineering and Management at the Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, USA, and the Founder & CEO of Syndem LLC. Having been recognized as a Distinguished Lecturer of the IEEE Power Electronics Society, the IEEE Power and Energy Society and the IEEE Control Systems Society, he is a world-leading multidisciplinary expert in power electronics, control, and power systems. Before joining Illinois Institute of Technology, he was the Chair Professor in Control and Systems Engineering at The University of Sheffield, UK, where he built up a $5M+ research lab dedicated to the control of energy and power systems.

Event Information: IEEE 5G Webinar- Massive MIMO for 5G below 6 GHz: Achieving Spectral Efficiency, Link Reliability, and Low-Power Operation 🗓

— Event Information: IEEE 5G Webinar- Massive MIMO for 5G below 6 GHz: Achieving Spectral Efficiency, Link Reliability, and Low-Power Operation
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Wednesday, January 17, 2018 11:00 am
Eastern Standard Time (New York, GMT-05:00)
Change time zone
Wednesday, January 17, 2018 5:00 pm
Europe Time (Paris, GMT+01:00)
Wednesday, January 17, 2018 9:30 pm
India Time (Mumbai, GMT+05:30)
Duration: 1 hour
Description:

IEEE 5G Webinar Invite | Register today for January 17, 2018 11:00am ET 

The IEEE 5G Initiative is engaging professionals worldwide from industry, government, and academia to collaborate on the challenges associated with 5G and lay the foundation to realize its many opportunities. Members of the community have access to extensive resources including publications, videos, articles, interviews, webinars, newsletters, workshops, and conferences.

Complimentary Webinar

Massive MIMO for 5G below 6 GHz: Achieving Spectral Efficiency, Link Reliability, and Low-Power Operation

January 17, 2018 | 11:00am – 12:00 pm ET

Presenter

Emil Björnson, Associate Professor, Linköping University

About the Webinar

5G, the next generation of wireless networks, needs to accommodate massive data traffic, large user numbers, high reliability, and yet provide great energy efficiency. When talking about 5G-enabling technologies, there is much fuss about millimeter wave communications, which is the ideal approach for delivering high data rates over short distances. However, the mmWave operation is inherently unreliable and unsuitable for wide-area coverage. To satisfy all the 5G requirements, we also need to make major improvements in the network operation at conventional cellular frequency bands, below 6 GHz. Massive MIMO is the name of multiantenna technologies that use access points with hundreds of antenna elements. Massive MIMO was conceived as the way to deliver very high spectral efficiency in bands below 6 GHz, using spatial multiplexing of tens of users per cell. In recent years, Massive MIMO has gone from being a mind-blowing theoretical concept to one of the most promising 5G-enabling technologies; several world records in spectral efficiency have been set by Massive MIMO testbeds. The use of arrays with many antennas creates the phenomenon of channel hardening, which means that the rapid fading variations that normally haunt wireless links are averaged out, leading to high link reliability. Furthermore, the array gain provided by the directive transmissions allow for reduced transmit powers, which is an enabler for low-power nodes. In this talk, I will explain the basics of Massive MIMO and the importance of implementing it in the right way in order to reap all the benefits that the technology can deliver. I will exemplify how to achieve high spectral efficiency, great link reliability, and low-power operation.

About the Speaker

Emil Björnson is Associate Professor and Docent at Linköping University. He is the main author of the book “Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency” from 2017. He has performed MIMO research for more than ten years and has filed ten related patent applications. He received the 2016 Best PhD Award from EURASIP, the 2015 Ingvar Carlsson Award, and the 2014 Outstanding Young Researcher Award from IEEE ComSoc EMEA. He has co-authored papers that received best paper awards at the conferences WCSP 2017, IEEE ICC 2015, IEEE WCNC 2014, IEEE SAM 2014, IEEE CAMSAP 2011, and WCSP 2009.

Please register to attend today and join us on Wednesday, January 17 from 11am – 12pm EDT

Advanced Sensing Electronic Systems for Electrified and Autonomous Vehicles 🗓

— mild-hybrid, starter/generator, monitoring, Radar, Lidar, wireless, convergence, alliances …

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Webinar Date: Thursday, January 25, 2018
Time: 11:30 AM (ET)
Speaker: Sergio Saponara, University of Pisa
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: tec.ieee.org

Summary: The tutorial will focus on recent advances in sensing electronic systems for new generations of vehicles. To address the needs of safe, sustainable and smart mobility of people and goods, vehicles are becoming electrified and with driver-assisted/autonomous capability. The social and economic impact of the smart transportation field is huge, since every year 90 million vehicles are sold worldwide and 1.25 million people are killed due to lack of safety. In the US 3.1 billions of gallons of fuel are wasted each year due to traffic congestion. According to market forecasts, in 2017-2022, CO2 emissions can be reduced by more than 100 million tonnes per annum just applying a micro/mild-hybrid technology, i.e. using hybrid vehicles where an integrated starter/generator (ISG) electric machine, up to 10 kW, assists the internal combustion engine (ICE), which is reduced in size and weight. The ISG enables Start-and-Stop, regenerative breaking, generator working mode to supply on-board electric loads, and torque-assistance of the ICE at low-speed, when it is not efficient. 48V Li-ion batteries and/or supercapacitors are used for energy storage. Innovative motor/generator electrical machines, up to 10 kW, can represent the single traction unit for lightweight vehicles such as e-bikes, e-scooters, e-quads.

The interest in the research subject of electrified and assisted/self-driving vehicles is demonstrated by the rise of new vehicle companies like Tesla and Uber and by the huge investments in the automotive field of electronics/electrical companies like Google, Intel, Infineon, STMicroelectronics, NVIDIA, and ABB to name just a few. A convergence is foreseen worldwide in the near future between ICT/Electronics industry and traditional OEM and tier-1 automotive industry (see as example announced alliance between INTEL and BMW). Key enabling technologies for this scenario are the innovation in sensing electronic systems, needed for:
— assisted/autonomous driving to detect obstacles and relative position/speed in the surrounding environment (e.g. Radar and Lidar) and for accurate positioning and navigation, i.e. fusion of on-board inertial measurement units (IMU) with global navigation satellite systems (GNSS) signals.
— electrified vehicles to estimate and to monitor voltage, current and temperature of power drive electronics and energy storage sub-system (Li-ion Battery packs or supercapacitors).

The tutorial will be divided in 3 parts, each of 15 minutes, plus final Q&A interactive open discussion session.
In Part 1 innovation and market trends in the field of vehicles with electrified/hybrid propulsion and assisted/self-driving capabilities will be discussed.
In Part 2 real-time sensor acquisition and processing of data from Radar, Camera and Lidar will be discussed and a comparison of these technologies will be carried out. Practical examples of Radar surveillance in transportation systems (railway, automotive and small ships) will be presented. This Section will deal also with fusion of signals from on-board IMU sensors (accelerators, gyroscopes) and GNSS wireless signals for accurate navigation and positioning.
Part 3 will focus on circuits and architectures for monitoring and management of Li-Ion batteries and/or super-capacitor in electric/hybrid vehicles with a special focus on micro/mild-hybrid architectures. This is the most promising solution for a rapid market diffusion of electric mobility since, with bus voltage below 60-70V, in micro/mild-hybrid vehicles costly shock protection devices are not required.

Perspective, Challenges and Future of Automotive Cyber Security Enriched with Blockchain Technology 🗓

— privacy, trust between vehicles, data transaction blocks, perspectives, challenges …

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Webinar Date: Wednesday, Dec 6, 2017
Time: 7:00 AM (ET)
Speaker: Dr. Madhusudan Singh, Yonsei Institute of Convergence Technology, Yonsei University
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: tec.ieee.org/education/webinars

Summary: As we know, Intelligent vehicles are almost in-market, and very soon they will replace human drivers worldwide. The intelligent vehicles are internet-connected vehicles, which is also communicating and data sharing between vehicle-to- vehicle (V2V), vehicles-to-infrastructure (V2I), and within vehicles. In such vehicle communication, they use CALM, DSRC and WAVE communication channels. This s kind of machine has many security vulnerabilities such as data security, privacy, legality, trust between vehicles etc. They need a strong security mechanism to solve these challenges. However, the Intelligent vehicles are making secured through the traditional security mechanism similar to information technology security standards (ISO 27000 and family), but a risk of attacks will reach new levels of interoperability, and the independent decision-making will begin to embed complexity, security loopholes and potential “black swan” events. This type of research need to be built-in security and architectural design to protect emerging threats. However, Blockchain technology will break this traditional mechanism for data validation and facilitate a trustworthy environment creation for Intelligent vehicles. Blockchain is a secure decentralized distributed ledger. The intelligent vehicles with Blockchain can create and maintain a continuously growing data transaction blocks of cryptographically secured data records against fraudulence and tamper. Blockchain can also reduce the cost of data and unpredictability of working edge devices or connecting machines. It simplifies the development of cost-effective data transaction, where anything can be tracked and exchanged, without requiring a central body. However, security is big challenge for intelligent vehicles. This presentation will introduce the automotive cyber security: perspective, challenges, and discuss how can blockchain can provide a secure trust environment for the intelligent vehicles.

Madhusudan Singh is a Research Professor at Yonsei Institue of Convergence Technology at Yonsei University, Korea since June, 2016. He has worked as Senior Engineer at Research Group at Samsung Display from March 2012 ~ March 2016. He received his Ph.D. degree in the Dept. of Ubiquitous IT, from Dongseo University(DSU), South Korea in Feb. 2012; M. Tech. degree in Dept. of IT with spec. in Software Engineering from Indian Institute of Information Technology-Allahabad(IIIT-A), India in July 2008; and his MCA degree in the Dept. of Computer Application from Uttar Pradesh (State) Technical University(UPTU), Lucknow, India in 2006. BCA degree is the Dept. of Computer Applications from VBS Purvanchal University-Jaunpur, India. Dr. Singh was a visiting research scholar at Univ. the Pisa, Italy in 2010.
Currently, he is an associated with numerous scientific organizations and has published more than 35 refereed scientific papers. His fields of interests are Automotive Cyber Security, Machine Learning, Blockchain Technology, Internet of Things, Image processing, and Software Engineering.

Integrated Power Distribution Planning: Bridging Traditional Capacity Planning and DER Planning 🗓

— distributed energy, grid-scale renewables, capacity planning methods, tools, best practices, problems …

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Webinar Date: Thursday, November 2, 2017
Time: 1:00 PM (ET)
Speaker: Gerhard Walker, Director of Grid Evolution, and Hisham Omara, Director of Engineering, Opus One Solutions
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org

Summary: Integrated Distribution Planning tools are integrating traditional capacity planning methods with distributed energy resource planning. These tools are becoming increasingly important as utilities plan, account for, and manage higher penetrations of grid scale renewables. This webinar intends to share insights including best practices, pitfalls, problems, and results of deploying an enterprise level roll-out.

Hisham Omara is the Director of Engineering and Consulting at Opus One Solutions with 10 years experience in the utilities sector in Canada, United Kingdom, Europe, and the Middle East. He engaged in a wide variety of business and strategic planning projects for firms competing in the electric power business. These projects are in response to changing or evolving conditions in the industry, the emergence of new entrants and technologies, or structural and regulatory changes. Furthermore, he has 7 years of experience in the design, development and deployment of smart grid, and energy efficiency solutions. Most recently, he was an Associate Director at Navigant, he established Navigant’s Energy presence in Qatar. Hisham holds a PhD in Electrical Engineering from the University of Manchester.
Gerhard Walker is the Director of Grid Evolution at Opus One Solutions. Prior to his engagement with Opus One he was the Director of Grid Solutions at GE’s Current and started his career in the utility business at the EnBW AG’s DSO Netze BW in Stuttgart, Germany as project manager and leader of a Smart Grid Competence Center. He studied electrical engineering at the University of Stuttgart and Tokyo Tech, and holds a BS and MS degrees in electric and power systems engineering and defending his PhD in Electrical Engineering October of this year.

Forecasting, Optimization and Control of Distributed Flexible Power Resources 🗓

— renewable generation, quality-of-service, weather forecasts, aggregate loads, optimization, scalable control …

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Webinar Date: Thursday, October 19, 2017
Time: 1:00 PM (ET)
Speakers: Yan Pan, Senior Electric Power Engineer, GE Global Research Center; Reza Ghaemi, Senior Control Systems Engineer, General Electric Research Center
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org

Summary: The availability of flexible resources is becoming increasingly important with increasing renewable generation. As part of the ARPA-E NODES project, a group of researchers are working on aggregating distributed flexible loads and DERs to provide grid services while maintaining customer quality-of-service. The presentation will cover the development of flexibility forecasts that use weather forecasts and other data to estimate the reserve potential of aggregate loads and DERs. An optimization framework that enables aggregation of a large numbers of flexible loads and DERs and determines the optimal day-ahead schedule for these resources will be discussed. Finally, a scalable control architecture for coordinating and controlling the resources in real-time with low latency will be presented.

Yan Pan is currently working with GE Global Research Center (GRC) as a Senior Electric Power Engineer. She received the BSEE and MSEE degree in Power Systems from Wuhan University, Wuhan, China in 2000 and 2003, respectively, and the PhD degree in Electrical Engineering from the Center of Advanced Power Systems, Florida State University, in 2009. She worked with Beijing Sifang Automation Co., Ltd as a Protection Engineer in 2003-2005. In 2009, she joined GE GRC, leading and working on R&D projects in the areas of DMS/DERMS functions, Power System Protection, PMU applications, dynamic/static load modeling and so on. She is a senior member with IEEE PES.
Reza Ghaemi is a senior control systems engineer at General Electric Research Center (GRC). Prior to joining GRC, he was a post-doctoral researcher at Massachusetts Institute of Technology between 2010 and 2012. He was also a visiting scholar at the Automatic Control Laboratory at ETH Zurich in 2008. He received M.Sc. in Mathematics (stochastic and optimization) in 2009 and Ph.D. in Electrical Engineering, Systems in 2010 from the University of Michigan, Ann Arbor.
His research interests include optimal control, Model Predictive Control, system biology, supervisory control, aircraft flight path optimization, and decentralized power grid control.

Modular Multilevel Converter (MMC) for Transportation Traction Applications 🗓

— Medium Frequency Transformer, weight of magnetics, efficiency, electric railway application, topologies …

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Webinar Date: Tuesday, October 17, 2017
Time: 11:00 AM (EDT)
Speaker: Dr. Luiz Henrique Barreto, Universidade Federal do Ceará
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: tec.ieee.org/education/webinars

Summary: Since its initial conception, the transformer has been used in the most diverse applications where insulation and adaptation of voltage levels are demanded. In fact, this device is widely employed either directly or indirectly in all electrical engineering fields due its simple design for distinct power and voltage conversion levels. More specifically, the power transformer ensures the aforementioned characteristics in power systems applications, such as: ac power energy transmission and distribution, as well as medium-voltage machine drives. However, such applications are typically based on a bulky low-frequency device called Line Frequency Transformer (LFT).
Moreover, many applications normally use oil inside the LFTs for cooling and insulation purposes, which has direct impact on weight and volume and implies serious environmental issues. Another drawback lies in the low efficiency of LFTs, since they are typically designed with high current densities (as less copper is required) and operate at heavy load conditions that may result in operation with efficiency of 90%. In order to overcome such bottlenecks, many recent studies have tried to replace the conventional LFT for a power converter using a Medium Frequency Transformer (MFT) with operating frequency around thousands of hertz, thus reducing the intrinsic size and weight of its magnetics.
Such reduction is a must in medium-voltage machine drives, more particularly in electric railway application, since a more compact propulsion system is a requirement, resulting in the improvement of the transformer efficiency and reduction of the requested power with the same cargo capability. This advantage is especially desired in Electric Multiple Units (EMU) where the propulsion system is distributed among the locomotive’s cars.
Besides the voltage and weight reduction, the approach using MFTs must ensure harmonic mitigations, power factor correction, and fault suppression, among other functionalities.
This talk will present several SST topologies. Since all configurations must deal with high voltage levels due the innate SST propose, designers must choose the technology that best fits in their applications, considering the particular characteristics.

Unlocking the Value of IoT: A Cognitive Energy System Future 🗓

— massive data, real-time demand, predict behaviors, customer solutions, confidence-weighted actions …

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Webinar Date: Thursday, October 5, 2017
Time: 1:00 PM (ET)
Speaker: Liang Downey, Business Development Executive, New Energy and Environment Group, IBM Corp.
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org

Summary: The IoT creates a huge amount of data and can become a stress factor for organizations. A Cognitive New Energy System will consume fewer resources based on knowing the real-time energy demand, weather, consumption; thus it only generates the right amount of energy when and where it is needed. The system not only captures machine2machine and human2machine knowledge from the past by learning from each interaction, but it is also able to predict future behaviors.
To thrive amid the DER complexity and digital disruption, the new energy sector must overcome struggles unlocking the value of massive amount of IoT data that is largely underutilized to better manage system, offer new customer solutions that delights them, such as energy trading. Cognitive-based systems are unique in their ability to make sense of all kinds of data to build knowledge and provide confidence-weighted actions. This capability is critical to build the new energy future that is more distributed, flexible, efficient and sustainable.

Liang Downey works for IBM as a Business Development Executive for IBM’s New Energy and Environment Group. She promotes emerging solutions that leverage IOT, analytics and cognitive computing to better balance the distributed energy supply and demand, eliminate energy waste and reduce GHG emission. Her professional experience spans over 20 years in consulting, program management and emerging technology development across multiple industries. For 5 years at a renewable energy start up, she helped the company grow, from business strategy and partnership to licensing company’s IP.
Liang joined a group of volunteers to support the IEEE Humanitarian Technology Challenge (HTC) in 2009. HTC was designed to enable remote villages in regions of the world that lack access to electricity by deploying mobile solar trailers built-in with stationary battery, home batteries, as well as LED lighting and phone charger, to light up and digitize dark homes. HTC has since evolved into IEEE Smart Village initiative today. Ms. Downey earned a Master Degree in Electrical Engineering from Clarkson University in New York, with GPA 4.0/4.0. She received her MBA in Finance from Wayne State University in Dec.2014.