Quick answer
The generation of a candidate solar design from configured geometry, equipment, constraints and objectives. The draft remains subject to site verification, equipment checks and the applicable project approval process.
Answer: Auto-design generates a candidate solar layout from configured site geometry, equipment, constraints and objectives. Depending on the software, it may suggest module placement, system size or other supported design elements. The result is a draft for inspection and adjustment. An address alone does not establish roof condition, local requirements, electrical compatibility or approval to construct the system.
Auto-design is a workflow, not one universal feature
A useful auto-design workflow starts with known inputs, applies explicit constraints and produces a candidate that a designer can inspect. It may use AI-based solar design for roof interpretation, but automation can also use ordinary rules and calculations.
A tool that fills a roof with modules is not necessarily generating a complete electrical design, a production model, a structural assessment or a permit-ready package. Verify each supported deliverable separately. The word “automatic” does not establish its scope.
Define the objective before generating a layout
Possible objectives include a target system size, available roof area, an approved equipment choice or a financial scenario. These can produce different candidates for the same building.
| Input | What to establish |
|---|---|
| Roof geometry | Source, date, slope, orientation, dimensions and unresolved uncertainty |
| Obstructions and exclusions | Verified locations and the applicable access or clearance constraints |
| Equipment | Exact module and inverter models, current specifications and compatibility |
| Design objective | Target size or comparison criteria, with explicit trade-offs |
| Production assumptions | Weather source, losses, shading method and energy output boundary |
| Commercial inputs | Actual tariff, pricing and financing assumptions if a proposal uses them |
Company templates help standardize selections. They must remain controlled and current; a saved default is not evidence that it meets every jurisdiction’s requirements.
An example of a documented vendor workflow
OpenSolar’s Ada documentation describes automatic design on supported high-quality 3D imagery, with templates influencing equipment and system options. Where suitable 3D data is unavailable, its workflow allows designers to draw roof facets. The documentation calls for slope and gutter-edge information and explains that obstructions must be added when working with manually drawn facets. Generated systems can then be edited.
This illustrates why input quality and manual correction matter. It is a vendor-specific example, not evidence that every auto-design product has the same imagery sources, detection, equipment selection or outputs. OpenSolar Ada auto-design instructions.
Review the candidate before release
- Inspect geometry: confirm planes, orientation and visible obstructions against the available evidence.
- Check layout constraints: review clearances, access, fit and installation practicality using the project’s actual requirements.
- Check equipment and circuits: verify manufacturer voltage, current, power and compatibility limits through the responsible electrical review.
- Review production inputs: ensure weather, shading and losses describe the proposed configuration rather than an older candidate.
- Reconcile outputs: drawings, quantities and proposal figures should refer to the same equipment and design revision.
- Record release status: distinguish a sales draft, a verified design and the applicable engineering or authority approval.
If the design changes after a survey, regenerate affected outputs and review the revision. An automatically generated bill of materials does not establish every site-dependent cable length, structural quantity or purchasing requirement.
Measure reviewed work, not draft-generation speed alone
Hypothetical time comparison: a manual workflow takes 120 active minutes. An automated candidate takes 10 minutes to generate, followed by 30 minutes of preparation, correction and review. The comparable total is 40 minutes, so the active-work capacity ratio is 120 ÷ 40 = 3.
Those declared assumptions illustrate the calculation; they are not measured product performance. Queueing, site visits, engineering availability and rework may limit released-project throughput. Do not translate a draft-generation ratio directly into guaranteed revenue, conversion or payroll savings.
Useful handoffs between teams
Designers maintain equipment templates, constraints and revision records. Sales teams can explain the preliminary configuration and unresolved assumptions without presenting it as a final approved design. Installation teams return site differences for controlled revision rather than silently changing the delivered system.
See panel layout auto-fill for the narrower placement task and design automation for related workflow concepts. To evaluate a specific SurgePV workflow, book a demo with your sample site, required outputs and review criteria.
Frequently asked questions
Is an address enough for a final design?
No. It can locate available data, but current conditions and project requirements still need verification.
Does auto-design choose every component?
Support varies by product and configuration. Verify the exact equipment and deliverables included in the documented workflow.
Can a designer change an automatic layout?
Check the product’s editing workflow. OpenSolar’s cited documentation describes editable generated systems; that does not establish every tool’s behavior.
Does auto-design remove engineering review?
No. Automation does not replace the project’s required equipment, electrical, structural or authority review.
Related Glossary Terms
About the Contributors
CEO & Co-Founder · SurgePV
Keyur Rakholiya is identified by SurgePV as its CEO and a company co-founder. His SurgePV author page lists only role information that can be tied to the public profile below; credentials, project totals, testing claims, media appearances, and speaking engagements are not asserted without retained evidence.
Editorial contributor · SurgePV
Rainer Neumann is credited as an editorial contributor on SurgePV content. This profile does not assert engineering credentials, project totals, software-testing experience, education, speaking engagements, or media citations because independent verification evidence is not retained in the publication record.
