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.
Thanks - I didn't know about Inspire Index, I'll check it out. I tend to agree about false precision. My first instinct was to use the synthetic horizon for addresses in that group, but I think that's over positive. A range might be better (if a bit more complex)?
Why would you replace it if doing so is uneconomic?
Panel lifetime is very high. The scope for efficiency improvement is not huge (unless there is a cost breakthrough in multi band photon capture). It's not a car, phone, or computer. It's more like the rest of the house electric infrastructure.
I had my rooftop solar over 10 years ago and basically intend to leave it until some maintenance issue forces action.
(Also, the kit secondhand value is hard to determine but far from zero; 30-50% maybe?)
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.
Depends on your energy requirements and future technology and energy costs. At the moment, one should value this outlay as a fixed income equivalent investment [1].
The panels have a ~25 year warranty though [2] (at which point, they should still produce ~80% of rated output), so it’s entirely possible to just leave them in place. At a certain age (~55-60), these are the last PV panels you’ll need to buy, as they’ll potentially outlive you (assuming developed country life expectancy).
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...
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.
Thanks - I didn't know about Inspire Index, I'll check it out. I tend to agree about false precision. My first instinct was to use the synthetic horizon for addresses in that group, but I think that's over positive. A range might be better (if a bit more complex)?
This is a great use of open data!
Please consider making the source code available. I’d love to make something similar for your friends across the pond (in Canada).
> Worth it. The kit pays for itself in 7.1 years; over 20 years it's good for about £1,095 net.
This is my issue with this sort of thing. Am I going to have this kit in 7 years? Or would I upgrade to better stuff at the technology improves?
Why would you replace it if doing so is uneconomic?
Panel lifetime is very high. The scope for efficiency improvement is not huge (unless there is a cost breakthrough in multi band photon capture). It's not a car, phone, or computer. It's more like the rest of the house electric infrastructure.
I had my rooftop solar over 10 years ago and basically intend to leave it until some maintenance issue forces action.
(Also, the kit secondhand value is hard to determine but far from zero; 30-50% maybe?)
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.
I don't see what your issue is.
Depends on your energy requirements and future technology and energy costs. At the moment, one should value this outlay as a fixed income equivalent investment [1].
The panels have a ~25 year warranty though [2] (at which point, they should still produce ~80% of rated output), so it’s entirely possible to just leave them in place. At a certain age (~55-60), these are the last PV panels you’ll need to buy, as they’ll potentially outlive you (assuming developed country life expectancy).
[1] https://magnifina.com/articles/rooftop-solar-yield/
[2] https://www.energysage.com/solar/solar-panel-warranties/
Huh, TIL about the National LIDAR Programme: https://www.data.gov.uk/dataset/f0db0249-f17b-4036-9e65-3091...
Very interesting stuff and quite a large undertaking! I'm often impressed by the quality of the UK's open data.
I noticed this as well! Very interesting.
What if I already have solar, can I add this?
Also do you actually need a balcony or can you hang these out of a window somehow? Very few houses in the UK have balconies.
This is really nice! Would be great if it could handle regular rooftop solar calculations too.
Thanks! Should be doable, I just got excited by the new shiny thing first.
Nice. I'm working on a project called homestocompare to help people house-hunting in the UK.
Would be nice to add this as an extra data point when comparing. Are you open to collaborating at all?
Absolutely! I have some other datasets that might be useful too (e.g. air quality). Drop me a line: ruaraidh[at]southlondonscientific.com :)
Let me know if you’d like access to alt net availability data
Would be good to be able to select multiple points on the compass and have it tell me the best place for it (front and back garden)
Good idea. I want to add specific options for different mounting locations (sheds etc) as well.
Great work. Is it possible to use this dataset to calculate total plug in solar potential within the geographic constraint?
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...