Model and control 25+ DER technologies and 14 distinct value streams (e.g. electric vehicle charging and demand charge reduction), enabling you to quickly screen, design, and operate your DER project of any size. Achieve predictable outcomes by combining economic and one-line diagram modeling with future changes in technologies, regulatory constraints, and energy pricing.
The extensive databases for utility rates, technologies, load shapes, and incentives will enable you to quote projects immediately.
More than 215,000 microgrid and DER designs have been optimized through Xendee.
Minute-by-minute AI enabled forecasting for renewable technologies and energy loads.
A large electric utility infrastructure company was developing an energy solution for a large, new, greenfield mixed commercial/residential facility in southern California...
A global renewable energy consultancy and EPC was looking to develop a DER solution to support electric truck charging at a greenfield truck stop location...
A Fortune 100 Consulting Group was looking to build a greenfield net-zero facility with a large industrial load and to evaluate multiple potential locations...
The U.S. Department of Defense (DoD) needed to develop a standardized method to guide rapid and repeatable modeling and design of secure and resilient DoD microgrids globally...
The team consisting of Xendee Corporation, RAND Corporation, Converge Strategies, LLC, and Ridgeline Energy Analytics supported the Town of West Tisbury and Brigham and Women''s Hospital in their planning and design of climate-resilient energy infrastructure. ..
A non-profit consulting for a municipality was looking into modeling a proposed new development in their town. The development was a mixed-use residential and commercial building, with a large electrical load...
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Good things don''t always come easily. Microgrids are no exception.
"The process of developing microgrids can be costly. It begins with a feasibility study reaching hundreds of thousands of dollars, even before any design, procurement and installation," said Kay Aikin, CEO of US-based Introspective Systems."Moreover, those feasibility studies are filled with disclaimers, and closing the gaps of uncertainty is crucial. Microgrid designs are unique, and therefore it is difficult to scale up the process of those studies without the use of technology."
Fortunately, artificial intelligence (AI) and machine learning (ML) can help. Aikin''s company, along with Israel-basesd Brightmerge, are incorporating both into a microgrid software platform that determines microgrid feasibility and creates optimal design specs and operational controls.
The partners have several pilot projects underway with the goal of bringing the software platform to alpha stage in the second quarter of 2020 and rolling out production systems in 2021.
One pilot project is moving forward faster — a solar-plus-storage microgrid on Maine''s Isle au Haut that''s due to break ground soon. "We''ll build the system over the next 2-1/2 months with the aim of having it up and running by mid-November," Aikin said in an interview. The island is served by an aging undersea cable connected to the mainland 20 years past its useful life that could fail at any time.
The Introspective Systems-Brightmerge microgrid software development project is governed under a contract Introspective Systems recently finalized with the Israel-U.S. Binational Industrial Research and Development (BIRD) Foundation. Its unit, BIRD Energy, has been awarding grant funding for projects proposed jointly by US and Israeli companies since November 2009.
Brightmerge and Introspective Systems won a grant in December 2018 to develop and test dynamic grid pricing with edge load responsive device control. The grant was part of $6 million in funding BIRD Energy awarded to seven projects to be carried out jointly by Israeli and US organizations.
"People use AI and machine learning in very broad terms," Aikin said. "What we have is software based on two components that we''re building here. The first is [microgrid] modeling, simulation and optimization software that uses AI and ML techniques to better optimize the mix of assets that will provide the greatest value to customers. The other part of the integrated ecosystem we''re building is feasibility analysis software that extends all the way to microgrid controls."
"Then there''s the transactive energy control system, which is sort of our secret sauce" — Kay Aikin
The feasibility study engine carries out a process that improves the speed and results of evaluating microgrid projects that may be presented to developers and determines whether they should pursue it or not, Aikin explained. Second, the design optimization engine considers all the assets and variables associated with a specific microgrid project to design an optimal mix of assets.
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