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Report: Solar savings through a SolarCity residential system
Having limited winter daylight hours combined with snow covered rooftops doesn’t make for good check out my huge solar savings conversation this month. But putting that aside, the overall economics behind my solar system tells a far greater story.
If you’ve been following along, you’ll recall that my journey with installing a SolarCity system dates back to late 2014. My system consists of 69 panels at 255W each for a total of 17.6kW (more specs on the system can be found on my Solar Generation page).
Solar Pricing
Massachusetts Electricity prices having been rising at approximately 9.5% year-over-year since 2008. When I started with SolarCity, my electricity price was set at $0.1627 per kWh including delivery, supply and taxes. Prices have continued to climb as seen on this chart.
The state went through a fun over-inflation and correction period in 2015, but the current rate I’m paying for electric is $0.1906 kWh with the best supplier I can find.
SolarCity sets their Power Purchase Agreement (PPA) prices based on your current electricity usage and comparable rates for the area that’s receiving their solar system. I had a number of options when I signed up including a variable rate, a fixed rate and an outright purchase but ended up opting for a 20-year fixed rate plan at $0.1420 kWh.
The way the PPA plan works is that I pay $0.1420 for every kWh generated by the SolarCity panels. The kWh they generate offsets the electricity I would consume. My savings initially worked out to be a difference of $0.0207 kWh or approximately 13% less. Recent savings have been in the $0.0486 kWh mark, or 25%, helped by the rise in electricity rates from utilities.
I incurred no installation or service costs when first setting up my SolarCity system, hence my entire cost for set up is based on the amount of power generated at $0.1420 kWh.
Affiliate: Get a solar cost estimate and find out how much solar can save for your home and business in your area.
Solar Costs
In the last 22 months, I’ve generated a whopping 33.8 MWh (33,800 kWh) of power. My cost for that was $4,800. The SolarCity bill will fluctuate depending on the amount of daylight hour and weather conditions.
In that same period, my electric company reported that I used 23,800 kWh of power. Since the solar power offsets that amount, my actual power use for those 22 months was 57,600 kWh — I use a lot of power between my Tesla, pool, A/C and other electronics we have throughout the house.
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About 59% of the power I need for my house and my Tesla comes from my SolarCity system. I wanted a system that could cover 100% of my needs but National Grid (local electric company) blocked that.
For the 23,800 kWh I purchased from the electric company, I paid $4,595, or $0.1930 kWh (averaged over the 22 months). My total electric cost (money paid to electric company and to SolarCity) for the 22 months was $9,395 or about $427/month.
While I consume a lot of power, 59% of it is provided by the sun.
Solar Savings
When I first signed up with SolarCity, they provided a $1,000 bonus if you registered for a solar system after buying a Tesla. That’s what I did and that’s how I received my $1,000 check form SolarCity.
They also had a referral program at the time which credited you with $250 for each person that signed up for a new system. I managed to get one referral and one more check from SolarCity.
All in all, I started 22 months ago with no money down and $1,250 in my pocket and a nice new solar system on my house. Not a bad start!
Had I purchased all my power from my electricity company at the average of $0.1930 kWh it would have cost me a total of $11,117. But thanks to SolarCity, my total cost was $9,395, so my savings was $1,722 over the 22 months. I expect savings and solar benefits will continue to grow over the next 20 years as the electric company continues to raise their rates.
SolarCity doesn’t fully capture the amount of savings that can be had through their system since the initial quote is based on current electricity rates, at the time of the quote. Rates climb over time especially in dense urban areas.
My savings thus far has been more than twice the amount SolarCity originally outlined! Now, if we add in the referral checks, my savings goes up to $2,972. The referrals don’t necessarily scale over time and may get updated so that needs to be factored into the equation.
Summary
For no money down and no risk, I’ve saved about $3,000 in just under 2 years (27% of what I would have paid) while generating green energy and taking load away from an already overloaded power grid.
When I did the math before signing up I knew the system would be a good deal and I’m very happy to see the results proving out. Since I’m on the power purchase program, I don’t have to worry about equipment depreciation, loss in solar cell effectiveness over time (I only pay for what they generate) or a whole slew of other things. By the time my plan is up, much better systems will be available.
If you’re interested in exploring solar power for your house and have enjoyed my posts thus far, please consider using my referral link to get started. SolarCity will do a free analysis of your situation and let you know if a solar system may work for you: share.solarcity.com/teslaliving
May the Sun be with you!
Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
