Research2026-07-306 min read
Do Parking Lots Have Solar Potential?
Re-imagining the power grid with parking lots.
TL;DR
Solar energy is the key to fighting global warming, but finding empty land is the bottleneck. Parking lots offer vast, pre-paved spaces ready for clean power without taking up new ground.
We mapped 1,187 Texas retail lots using state parcel records and Mireye, pin-pointing exactly where solar canopies can connect to the grid immediately. The workflow is fully scalable for any state or industry looking to unlock untapped solar space.
The Question
Tapping into natural light resources at scale is the fastest path to clean energy. The challenge isn't the sun, it's deciding where to build without expensive land acquisition.
Parking lots at big-box retailers and grocery stores offer massive, already-paved, already-owned space ready for solar power without requiring new land.
Walmart and IKEA already build solar carports, and France mandates them by law. We wanted to see if anyone could screen thousands of candidate locations automatically instead of evaluating them one by one.
How We Solved It
We used mireye to instantly analyze solar access, grid readiness, and land buildability across entire states without address lists or per-lookup fees.
Instead of paying for address lookup lists, we pulled state public land records directly by searching for chain owner names. We then fed those parcel coordinates into mireye's `/v1/fetch/batch` endpoint to analyze solar yield, grid context, and ground slope instantly.
This simple pipeline mapped and scored 1,187 real Texas retail sites across 253 counties in a single automated pass.
What We Found
H-E-B holds the most sites at 40% of the dataset, though they carry smaller footprints averaging 10.6 acres. West Texas offers 15% to 22% more solar resource than the rest of the state, but half its sites lack visible grid interconnection records.
Only 0.84% of sites showed high sun with zero grid path, proving that grid gaps are isolated rather than a widespread barrier.
Big-box parking lots represent an immediate, scalable answer to clean energy generation. By combining public records with mireye, identifying optimal solar canopy locations becomes fast, automated, and repeatable.
Honest Boundaries
- Interconnection queue size signals local project density rather than open grid headroom.
- This screen only catches store-owned properties, leaving out leased locations like many Costco or Target sites.
- Solar potential, slope, and grid proximity rely on modeled data heuristics rather than manual on-site engineering surveys.
What Else Can You Solve With Mireye?
- Finding prime renewable energy sites does not require expensive address databases or tedious manual research.
- Matching public owner records with mireye's API lets you screen millions of acres for solar or infrastructure potential in minutes.
- What land problem are you trying to solve, and what can you unlock next using mireye?
Build your own
Treat this study as a skill, not a one-off. The recipe:
- Take any state's public parcel-ownership data. Every state publishes something like this — often free, from the same office that runs the county appraisal district.
- Search it for the owner names you care about, and feed mireye the coordinates. One call per site through the catalog returns solar, grid, and buildability fields — or batch up to 25 at once through `/v1/fetch/batch`. No address list, no per-lookup fee, for any entity that owns its own land.
- Define what "good" means for your project, and let the ranking find the tail — the site nobody without this data would have found.
Everything from this issue is at github.com/Mireye-Labs/solar-carport-siting: the 1,187-site dataset, the ranked score, the caveats, the pipeline.
Frequently asked questions
What is this, and what problem does it solve?
A solar developer or a retail chain currently has to check all of this — sun exposure, grid access, buildability — by hand, one property at a time. This is that same check, run at the scale of an entire state, by searching public land-ownership records directly for known chains and enriching every match with mireye's catalog.
Which retail chains have the most solar-canopy potential in Texas?
By sheer number of owned-parcel sites, H-E-B (478) and Walmart (365) dominate, though H-E-B's typical site is small (10.6-acre median) while Walmart's is considerably larger (20.8-acre median). By composite opportunity score, the highest-ranked individual sites cluster in far West Texas, where solar resource is best statewide.
Is this a construction-ready recommendation?
No. This is a screening tool, not a permit-ready site plan. Every field here — solar resource, grid proximity, slope-based buildability — is modeled or derived, not independently surveyed per site. Any specific site would need real engineering and visual verification before anyone broke ground.
How can I run this on my own portfolio or state?
Get a public parcel-ownership dataset for your state — many states publish one. Search its owner-name field for the chains or entities you care about, read coordinates off the matched parcel centroids, and feed those coordinates into mireye's /v1/fetch/batch for solar, grid, and buildability fields in bulk. No address list or per-lookup fee required for any entity that owns the land it's sitting on.
Every figure in this piece is cited to its source and reproducible through the API. Run the calls yourself.
