systems design

The Future of Energy is Shared Technology Innovation

The Future of Energy is Shared Technology Innovation

Founder and CTO Matthew Williams will represent both Faraday Grid and LF Energy at DistribuTECH in New Orleans this year, where he will deliver a talk on why he believes an open source system is a necessary foundation for a prosperous energy future. Read this article in which Matthew explains how open source will fuel innovation in energy and find time and date for his presentation below.

Nature’s constraints need not limit innovation and growth – Part 2: Paul Romer

Nature’s constraints need not limit innovation and growth – Part 2: Paul Romer

The story of how two economists integrated innovation and climate with long term economic growth and won a Nobel prize, part 2.

Third-party Validation of the Faraday Exchanger

Third-party Validation of the Faraday Exchanger

The Power Network Demonstration Centre (PNDC), a smart grid demonstration and testing facility, carried out an independent third-party validation of the Faraday Exchanger. The tests carried out by PNDC reconfirmed that the Faraday Exchanger does offer the intended functionalities (voltage regulation, power-factor correction and power-quality control) that are beyond what can be provided by one single technology to utilities and end-users of electricity. This means that wide adoption of the FG technology will result in improved power quality and reliability, increased equipment lifetime, and reduced-capital investment in mitigation technologies. Employing the key findings from PNDC validation report, this whitepaper by Jagadeesh Gunda summarises the capabilities of the Faraday Grid technology.

Design by Constraint for Complex Problems

Design by Constraint for Complex Problems

Understanding a design problem by its constraints is the best way to discover new solutions

Rather than presupposing a solution based on a set of assumptions – whether they be calculated or arbitrary – Faraday Grid use DbRC, the tools of advanced simulation and data analysis to identify the optimum design of a solution.