Principal Dinos Gonatas consults in the energy sector with assignments in renewable energy and smart grid technologies. Award winning work covered Monte Carlo simulations of distributed generation failures combined with solar + storage backup. He brings a data-driven approach to support your project.
In January 2021, in a project for a solar developer, his analysis of ERCOT suggested vulnerability to infrequent but extreme cold weather events could lead to market risk.
In another project, he integrated machine learning for solar energy predictions with an optimal energy storage dispatch algorithm to use the storage resource 50% more efficiently. This technology is described in detail here: https://patents.google.com/patent/US10079317B2/en?q=gonatas&oq=gonatas.
His renewables integration work includes counseling clients on transmission access leading to a 50 MW expansion of a wind farm in Maine, where he analyzed load flows, curtailments and variable wind production to determine transmission availability.
As a business development manager at Oxford Instruments he developed corporate IP strategy and led patent assertion teams for advanced superconductors and fault current limiters, together with new product development and technology scouting. He also managed electrical and mechanical engineering technologies as a licensing officer at MIT.
Earlier, he led teams resulting in bid wins such as a 1000MW electrical transmission line, and in financial due diligence for the acquisition of integrated electrical utilities in the US and in Latin America, while a business development manager at Enron. Previously, he developed hydrogen generation technologies for coal at ExxonMobil, leading to 6 US patents. He holds a BA in Physics from Princeton, a PhD in Physics from the University of Chicago, and an MBA from Babson College.