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Report: Solar savings through a SolarCity residential system

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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.

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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.

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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.

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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.

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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.

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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!

"Rob's passion is technology and gadgets. An engineer by profession and an executive and founder at several high tech startups Rob has a unique view on technology and some strong opinions. When he's not writing about Tesla

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Investor's Corner

Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst

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Credit: Tesla China

Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.

On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.

However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.

He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.

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The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.

Instead, they have asked for a full-size SUV from Tesla.

Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck

Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.

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TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.

Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.

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Elon Musk

Tesla Hardware 3 owners could be made whole this month

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.

The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.

This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.

It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”

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Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”

However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”

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Tesla has made some effort to remedy these Hardware 3 owners by offering:

  • Discounted trade-ins toward AI4 cars
  • Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
  • Full Self-Driving v14 Lite

The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.

Expectations for Tesla v14 Lite for Hardware 3 Owners

The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.

Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.

Tesla reveals its plans for Hardware 3 owners who are eager for updates

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This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.

There should also be a handful of additional features that are available on AI4 cars, such as:

  • Starting Full Self-Driving from Park
  • Auto Shift
  • Streaks
  • Speed Profiles
  • Improved Dynamics, like Pulling Over for Emergency Vehicles

Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.

We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.

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Elon Musk

SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

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Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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