@Scritch: how could I limit the charge power, while I recharge my batterie from the grid overnight?
I am using the “number.femsxxx_ctrlemergencycapacityreserve0_reservesoc_2” and set it to the desired SOC-value e.g. 95% at midnight and switch it back to 5% at 5:00 a.m.
By doing so the the batteryinverter will charge the battery with full power - in my case with 4,5kW.
Now I would like to limit the charge power down to 2kW or so, since my battery has only 8.8kW and I could you use the whole 5 hours of my cheap-grid-night-tariff to charge the battery.
As far as I know you can’t control that without buying the Write Access App. With that you should be able to control the power (charge and discharge) freely. (I’m not sure how well it works with ha_openems though)
Also you should consider that the system probably charges more efficiently with a higher power anyways.
Btw, the charge power for the emergency reserve is not the max power, it’s half of the Inverter Power. So if you have the Home 10 then it’s 5 kW. But in your case the battery limits that.
Personally, I have no experience in this, as I do not (yet) have a dynamic electricity tariff.
Generally speaking, thats primarily a question about the capabilities of FEMS / OpenEMS. Once its clear how this can be achieved, we should also be able to convert it to an automation in home assistant.
Based on that response, sending setpoints to ess0/SetActivePowerEquals
using the REST/Write App seems to do the trick.
That is currently not yet supported by the integration.
If there is somebody around who purchased this app and would take care of testing, I offer to implement it.
@romal : Can you please send me the contents of your config entry via PM?
I would like to see which properties are getting exposed by the REST write application component.
Ideally, I can read properties like availability and communication port directly from backend instead of asking the user to configure it. This would save some implementation effort (the config dialogue is already sufficiently complex) and it would be less error-prone as no extra configuration will be required.
I had created a 2nd beta for 1.3.0 (containing only documentation enhancements) a few days ago. At that point, I removed the beta label from the first beta. As I didn’t set it as the current main release, I expected HACS would ignore it.
However as it turns out. HACS actively promoted it as a new default release. Sorry for the small confusion.
As by now nearly 50% of all users migrated to the first beta, I decided to clean this up and set beta2 to the new main release, and removed the beta label from it.
Bottom line: Now we have v1.3.0 officially released, using the previous beta2 tag, which differs only in small documentation enhancements from beta1, that many people are using as of now.
Hi all, I am not sure what I have setup wrongly but in HA, the Now tab in the Energy Dashboard shows the Production as the same as the Consumption value
I’m currently trying to integrate a FENECON (FEMS / OpenEMS) system into the Home Assistant Energy Dashboard and I’m running into a consistency issue that I can’t fully resolve.
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Setup:
I’m using the following sensors from the integration:
• *_sum ProductionActiveEnergy (PV production)
• *_sum GridBuyActiveEnergy (grid import)
• *_sum GridSellActiveEnergy (grid export)
• *_sum EssDcChargeEnergy (battery charge)
• *_sum EssDcDischargeEnergy (battery discharge)
All sensors appear stable and match the values shown in the FENECON portal.
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Problem:
• During the day, values in Home Assistant and FENECON are very close.
• However, towards the evening, the Home Assistant Energy Dashboard starts to drift.
• The calculated home consumption becomes significantly higher than expected.
So individual values look correct, but the overall energy balance is off.
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What I suspect:
It looks like the _sum sensors:
• are already aggregated values
• may not be fully independent from each other
• could mix AC and DC domains (especially battery vs grid)
Since the Home Assistant Energy Dashboard expects independent, monotonic energy counters, this might lead to incorrect internal calculations (double counting or drift).
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Questions:
• Has anyone managed to get a 1:1 match between FENECON and HA Energy Dashboard?
• Are you using the _sum sensors, or different ones?
• Did you exclude battery from the Energy Dashboard?
• Are you using template or utility_meter sensors to “normalize” the data?
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Goal:
I’d like to achieve a consistent energy balance in Home Assistant similar to FENECON, without drift over time.
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Any insights or best practices would be highly appreciated
:::
On March 25th I did not receive any data from the system, and the values seem to have been updated only on March 26th.
However, I had already checked the raw sensor values before and at that time they appeared consistent with the FENECON portal.
What I’m seeing now is:
• The individual sensor values look plausible
• The curves are smooth (no visible resets or spikes)
• But the total energy for the day (especially PV production) ends up significantly higher in Home Assistant
This makes me wonder if delayed or backfilled data could be affecting how Home Assistant interprets the total_increasing sensors.
If a larger increment is applied after a period without updates, it might be assigned entirely to the current day, which could explain the discrepancy.
Would the integration or underlying system ever “catch up” missing values in this way?
I will also take a closer look at the sensor history around the day boundary to see if there is a noticeable jump.
I checked the values again for today and they actually match very well:
FENECON:
Consumption: ~46.8 kWh
Home Assistant:
Home: ~47 kWh
So the total electrical consumption is consistent.
The confusion came from the fact that in Home Assistant I also have a separate “gas” entity (~12 kWh), which in my case represents the heat pump.
However:
The heat pump is fully electric
Its consumption is already included in the total “home” consumption
The “gas” value is just a separate visualization, not an additional energy source
So there is no double counting – just a different way of presenting the same data.
Also, the earlier discrepancy (almost doubled PV values) was likely caused by delayed/missing data from the previous day being applied to the next day.