Teaming Partners

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Organization 
Investigator Name 
Organization Type 
Area of Expertise 
Background, Interest,
and Capabilities
 
Contact Information 
State 
 
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 Energetic Insurance, Inc.Jeffrey McAulay Small Business Power Generation: Renewable Energetic Insurance specializes in the creation of novel risk management products for the renewable energy industry. Our flagship product (EneRate Credit Cover) provides a backstop for offtaker credit risk in on-site solar transactions. https://www.greentechmedia.com/articles/read/energetic-insurance-unveils-one-of-a-kind-insurance-policy-for-commercial-s#gs.w6g2eq

In the creation and launch of this product we developed our own actuarial models, proprietary software tools, data sets and underwriting guidelines that were then approved by the the 5th largest reinsurer in the world.

We are interested in collaborating with other teams to create new insurance products that may not have traditional loss histories. We are open to financial as well as physical risks.

We are a venture-backed company with previous support from the DOE and various state level agencies.
https://www.crunchbase.com/organization/energetic-insurance-inc#section-funding-rounds
Website: https://www.energeticinsurance.com/

Email: info@energeticinsurance.com

Phone: 617.701.7776

Address: PO Box 398002, Cambridge, MA, 02139, United States
MA
 University of HoustonXingpeng Li Academic Grid My main expertise includes power system operations, modeling, algorithm development, and optimization, day-ahead scheduling, real-time dispatching, energy management system (EMS), contingency analysis, unit commitment, economic dispatch, transmission switching, network configuration, and operations research. I have both academic and industrial experience. I previously worked for ISO-NE, PJM, and ABB.

My research interests are threefold:
(1) Smart grid: renewable generation, energy storage, distributed energy resource, and demand response; microgrid sizing and energy management.
(2) Power system operations, planning and optimization; flexible transmission, power flow control; power system reliability and resilience; power system cyber-security: cyber-attack and countermeasures; applications of big data in power systems.
(3) Interoperability of multiple infrastructure systems: electricity, natural gas, and water.
Website: http://www.ee.uh.edu/faculty/li

Email: xli82@uh.edu

Phone: 7137439881

Address: 4726 Calhoun Road Room N317, Houston, TX, 77204, United States
TX
 Hitachi America LTDBo Yang Large Business Grid Our center is specialized for real time operation platform, including edge computing, data warehousing and management on cloud, cloud based software application engineering. We are interested at distribution energy resource related analysis and applications.

We would like to partner with researchers and analysts on analysis that can demonstrate on real world industry data.
Website: http://www.hitachi-america.us/rd/

Email: bo.yang@hal.hitachi.com

Phone: 6692619318

Address: 2535 Augustine Dr, santa Clara, CA, 95034, United States
CA
 Iowa State UniversityIan Dobson Academic Grid Power system cascading risk and resilience metrics and analysis;
Data-driven models of cascading and resilience;
Metrics and validation from real data;
Risk analysis of extreme events;
Complex, stochastic, simulation, and dynamical systems methods;
Blackouts, voltage collapse.

Publications and Google scholar are available on website.
Website: http://iandobson.ece.iastate.edu

Email: dobson@iastate.edu

Phone: 515 212 5190

Address: Coover Hall, Iowa State University, Ames, IA, 50011, United States
IA
 Arizona State UniversityJunshan Zhang Academic Power Generation: Renewable To meet the grand challenge of a sustainable energy future, there has been a surge of interest in renewable energy and demand response products. The high penetration of renewable resources, together with the presence of a large number of demand response products, introduces difficult-to-control dynamics and risks for power system operation. Decision support tools are necessary to efficiently utilize renewable resources and distributed demand response products in concert with traditional grid resources.

Our team has been working on renewable generation modeling and forecast, as well as its bulk integration, for more than 10 years.
Specifically, we have studied modeling/forecast of clean energy, network optimization and control, grid integration of renewable energy and demand response. We also have expertise in cloud and edge computing, Internet of Things (IoT) platform design, and data-driven optimization. As a strong believer of energy efficiency, I have actively taken leadership roles to pursue collaborative
projects and develop integrated solutions. In collaboration with Sandia National Lab,
Nexant Inc., and PJM, I am currently leading a large-scale ARPA-e project, with focus on developing the
stochastic optimal power flow (OPF) tool for real-time management of distributed renewable generation and demand response.
Website: http://informationnet.asu.edu/

Email: junshan.zhang@asu.edu

Phone: 4806780300

Address: School of ECEE, ASU, Tempe, AZ, 85284, United States
AZ
 Argonne National LaboratoryZhi Zhou Federally Funded Research and Development Center (FFRDC) Grid Dr. Zhi Zhou is a Principal Computational Scientist with the Energy Systems Division at Argonne National Laboratory. Zhi Zhou has been leading and supporting research projects funded by DOE WPTO, VTO, BTO, and WETO in grid related uncertainty modeling and quantification, wind power forecasting, renewable energy grid integration, and electricity market analysis. His research capabilities include optimization, stochastic modeling, statistical forecasting, grid operations and planning, electricity markets, and renewable energy integration. Zhi Zhou joined Argonne in 2010, and has published more than 50 papers/reports in this area.
Website: https://scholar.google.com/citations?user=m5QTTfIAAAAJ&hl=en

Email: zzhou@anl.gov

Phone: 6302522894

Address: 9700 South Cass Ave. Bldg 221, Lemont, IL, 60439, United States
IL