There are various hot topics at the moment that are undergoing massive transformation and development.
Combining these evolving themes has the potential to provide environmental and financial benefits that will transform our lives.
We have the challenges of fluctuating renewable energy production as well as consumption. Energy storage needs to be managed intelligently to make it cost effective. Smart decisions may require information like the weather forecast and the current market price of electricity. How can we master these new complex systems?
No doubt forward looking companies will be working on products to take advantage of the new opportunities created by this disruption. This article looks at a DIY approach to managing and automating home systems.
openHAB is an open source project that aims to reduce all things to a number or state so that they can be modeled, monitored and controlled across products, protocols and contexts. It has bindings to many "things" and it can run on a Raspberry PI.
Using the openHAB bindings various devices can be combined to build smart systems. Here we use the openHAB Fronious binding to get data from the inverter and MQTT messages to communicate with remote devices. Grafana can be used to monitor the systems with dynamic charts.
If you want to play along at home, here is a dockerized openHAB example with a mysql database and grafana charts. It models a house with Solar Panels. You will need a Fronious inverter with smart meter running on your network.
git clone https://github.com/dougculnane/openHAB_solar.git
To get the best return on investment from a domestic solar power system you have to shift your electric consumption to use the energy your system produces.
Changing personal behaviour to run dishwashers and washing machines when the sun shines helps a great deal but we can also automate systems.
Heating a hot water tank requires a few kilowatts hours of energy. They are a kind of large energy store that is very simple and cheap. Hot water can also be a useful luxury in a modern home. Obviously we want to heat the water with the energy we produce rather than the expensive electricity we buy from the grid.
By controlling the thermostat using openHAB and developing rules that automatically adjust the thermostat temperature based on the current electric grid meter value, we can soak up some energy rather than exporting it to the grid.
Here you can see a good sunny day where the hot water tank stored about 3kWh between 12:00 and 13:00. We can also see that manually putting on the dishwasher, washing machine and cooking during the day helps to match production with consumption. The trigger for the hot water tank needs to be on the grid power measurement so it does not turn on while the oven is on etc.
Some days the production and consumption curves are not as predictable and so averaging out the measurements over a few minutes is needed in the rules to add a bit of stability to control decisions.
Electric cars bring a huge battery to these connected systems. Most of these mobile batteries are idle more than 90% of the time, and so slow charging could be used to soak up excess PV power. With vehicle to grid technologies the night time consumption can be shifted to the day.
A mobile battery project is in my task back catalogue so hopefully I will be able to report on that soon.
Hopefully this article has shown the potential for this smart approach. Rules can be developed to balance the electrical grid, make money and/or increase comfort. We all have different priorities that also evolve and change as new systems develop. Maybe this DIY approach is not for everyone but becoming master of your domain can be a lot of technical fun.