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Really cool stuff. Nitpick: it failed to grab an OSM ID for my house and fell back to postcode centroid, but then still reported LIDAR-derived shading at quite high precision.
I'm wondering if it should fall back to a more general shading approach when no OSM building footprint is available, to avoid false precision? My street has a gap in the houses on the other side from mine, so picking the right location matters for the calculation.
You could also try Inspire Index polygons instead of OSM? These correspond to actual lease/freehold boundaries.
Notice that the pricing will come down. In Germany (where the market is mature), I can buy a 2kWp system for 500-600 EUR. Then your payback time basically halves...
The technology is unlikely to improve meaningfully in 7 years. And you'd only upgrade if it was a financial improvement so it makes complete sense to give an estimate based on keeping it for 20 years.
Same argument applied to flat-panel TVs in 2004. People kept them 15 years. Solar panels from 2010 still running fine. The upgrade cycle anxiety is mostly theoretical.
To me, 7.5 years is not worth it. and the 1K in 20 years is nothing. This should be the standard and it should be free. Until then we'll keep paying through the nose for energy...
I'd like it if it would actually show me how much sun it thinks I'd get at the postcode I put in. I've got about a third of an acre of garden in a 6 acre field to play with, before I start having to dig up roads. I can afford to be quite free and easy with placement ;-)
We tried adding rooftop to a similar tool — the tricky bit was tilt/azimuth estimation from aerial imagery. OSM building data helped but required a lot of manual correction per region.
This is a nice example of making sustainability practical rather than abstract. Showing potential generation at an address level makes the decision much easier for non-experts.
A lot of climate tech needs this kind of interface: not just “this is good,” but “this is what it could mean for your specific situation.”
This is a really interesting project! The use of LIDAR data to account for actual building shadows is a clever approach. I'd be curious to see how this compares to commercial solar assessment tools in terms of accuracy. The UK's move to legalize plug-in solar is great for residential adoption.
Window mounts exist but the clamp failures are fun. Also "adding to existing solar" usually means a second inverter running parallel — your sparky will love explaining why that's a bad idea.
Oh, that's such a good idea! I suppose the challenge is knowing where there are installable surfaces are (or at least making defensible guesses). I'm going to have a go at this...
Are these comparable specs though? 300 euro German kit vs what exactly in UK - same wattage, same inverter quality? Because if one's 400W Hoymiles and other's 600W Deye, that price gap starts to look pretty different.
I'm wondering if it should fall back to a more general shading approach when no OSM building footprint is available, to avoid false precision? My street has a gap in the houses on the other side from mine, so picking the right location matters for the calculation.
You could also try Inspire Index polygons instead of OSM? These correspond to actual lease/freehold boundaries.