Table of Contents
- What does FlexMeasures do?
- Why do you do this?
- Why is FlexMeasures open source, and why is it part of the Linux Energy Foundation?
- How do I use FlexMeasures / get started?
- Can you give some real-world examples where FlexMeasures is used today?
- How can FlexMeasures become a puzzle piece in large-scale solutions?
What does FlexMeasures do?
Why do you do this?
How does FlexMeasures add value?
Why is FlexMeasures open source, and why is it part of the Linux Energy Foundation?
We saw two reasons to open source the code of FlexMeasures:
- Nowadays, open source is a great fit for the speed of innovation which we need, and also the spread of innovation. The energy transition has to go blazingly fast, everywhere. These days, open source projects are often able to innovate faster than closed source counterparts (once they've picked up momentum).
- From our many years of experience in designing smart energy solutions, we've come to realize that energy solutions often have multiple stakeholders (e.g. asset owner, user, network operator, energy service company). The transparency offered by open source, and the lack of lock-in, makes collaboration easier and agreements faster.
The Linux Energy Foundation is a great place for the FlexMeasures project to be part of the growing community of people who understand the above reasoning.open source
How do I use FlexMeasures / get started?
We make FlexMeasures, so that developers are as productive with energy optimization as possible. As we are developers ourselves, we know that it takes a couple smaller steps to engage with new technology.
Your journey, from dipping your toes in the water towards being a happy FlexMeasures power user, could look like this:
Quickstart ― Find an optimized schedule for your flexible asset, like a battery, with standard FlexMeasures tooling. This is basically what the from-scratch tutorial above does. All you need are 10 minutes and a CSV file with prices to optimise against.
Integrate ― Load the schedules via FlexMeasures’ API, so you can directly control your assets and/or show them within your own front-end.
Customize ― Load other data (e.g. your solar production or weather forecasts via flexmeasures-openweathermap. Adapt the algorithms, e.g. do your own forecasting or tweak the standard scheduling algorithm so it optimizes what you care about. Or write a plugin for accessing a new kind of market. The opportunities are endless!
Can you give some real-world examples where FlexMeasures is used today?
FlexMeasures is being used in a few industry projects (water sanitation, sludge burning), where we for instance help to run centrifuges to run during the greenest hours of the day.
It is also used in projects with smaller assets, around the smart home setting (a vehicle-to-grid living lab and battery optimization). Here, FlexMeasures helps to buy cheap, and sell at high prices, for an optimal financial result.
Much work currently goes into the integration of heat pumps.
Of course, we might be missing some use cases. We'd love to hear from you.
How can FlexMeasures become a puzzle piece in large-scale solutions?
The "data-driven" part is where we start! From our experience, data pipelines and dashboarding around energy-consuming assets now often exists.
FlexMeasures works well as the single EMS, but also as an added smart back-end. Integrating the data often means to feed only the relevant parts to FlexMeasures (only relevant sensors, only the resolution needed for decision-making in schedules, e.g. 5 minutes).
Once the right algorithms are connected, FlexMeasures provides optimized schedules via API. Its UI also shows sensor data and schedules and provides the ability for users/operators to annotate them.
The schedules an thus be integrated into larger solutions, into user-facing apps etc. Just as the context requires.