
GITNUXSOFTWARE ADVICE
Environment EnergyTop 10 Best Solar Estimating Software of 2026
Explore top solar estimating software tools to streamline projects.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Solar-Estimate (by Aurora Solar)
Proposal generation that leverages Aurora Solar design outputs for consistent, client-ready estimates
Built for solar contractors needing fast, standardized proposals from modeled designs.
OpenSolar
Runner UpEstimate generation that ties configuration inputs to proposal-ready outputs
Built for solar installers needing repeatable estimating and proposal package generation.
Solar Designer
Also GreatGuided solar estimating workflow that converts inputs into proposal-ready line items
Built for solar contractors needing standardized estimates for recurring residential and small commercial jobs.
Related reading
Comparison Table
This comparison table evaluates solar estimating and design tools used for project takeoffs, system sizing, and cost modeling. It contrasts Solar-Estimate by Aurora Solar, Aurora Solar, OpenSolar, Solar Designer, Homer for PV and storage sizing with cost calculations, and additional platforms on common selection criteria such as workflow, input requirements, and output capabilities.
Solar-Estimate (by Aurora Solar)
all-in-oneGenerates solar project estimates using design and proposal workflows that connect site inputs to system sizing and cost outputs.
Proposal generation that leverages Aurora Solar design outputs for consistent, client-ready estimates
Solar-Estimate by Aurora Solar stands out with its tight integration into Aurora Solar’s solar design and measurement workflow, which reduces rework between design and estimate. The solution supports proposal-ready layouts, line-item handling, and customization needed for client-facing solar offers.
It also streamlines internal estimating with consistent inputs carried through from modeling outcomes. The result targets teams that want faster quote production with fewer manual spreadsheet steps.
- +Seamless handoff from Aurora modeling to estimate documents
- +Configurable proposal outputs for client-ready presentations
- +Consistent inputs reduce manual spreadsheet reconciliation
- +Supports common solar estimating line-item structures
- –Customization depth can slow teams without standardized templates
- –Complex estimate changes require careful review before sending
- –Best results depend on clean upstream design data
Best for: Solar contractors needing fast, standardized proposals from modeled designs
More related reading
Aurora Solar
design-to-estimateProduces solar system designs and proposal-ready estimates with 3D modeling, shade-aware design, and pricing export for customer presentations.
Automated proposal generation from Aurora’s design and production modeling inputs
Aurora Solar centers solar project estimation on a guided workflow that combines design, modeling, and proposal outputs for rooftop systems. The tool produces detailed layouts with shading and production modeling inputs that translate into customer-facing estimates. It supports collaborative review through shareable project artifacts and integrated handoff to downstream quoting steps.
- +Strong design-to-estimate workflow with clear project stages
- +Shading and production modeling inputs support defensible estimate assumptions
- +Client-ready proposal outputs reduce manual formatting effort
- –Project setup can feel heavy for simple estimate-only workflows
- –Layout accuracy depends on quality of inputs like roof geometry and measurements
- –Advanced customization still requires user familiarity with the modeling approach
Best for: Solar installers and sales teams needing repeatable design and proposal generation
OpenSolar
proposal automationCreates solar proposals and estimates for residential and commercial projects using an estimating workflow built for sales and fulfillment teams.
Estimate generation that ties configuration inputs to proposal-ready outputs
OpenSolar stands out with a dedicated workflow for creating solar project estimates tied to real electrical and system assumptions. The tool supports proposal-ready outputs, including sizing calculations, equipment selection inputs, and configuration-driven material and labor assumptions.
It also emphasizes usability for sales and engineering handoffs by keeping estimate inputs structured and repeatable across similar jobs. Core capabilities focus on estimate generation and documentation rather than full design simulation or utility interconnection automation.
- +Structured estimating inputs that stay consistent across repeated projects
- +Proposal-ready estimate outputs for sales-to-operations handoff
- +Clear system sizing and configuration assumptions for solar scopes
- –Limited evidence of deep engineering automation beyond estimation workflows
- –Collaboration features for large multi-user teams appear constrained
- –Customization can require careful setup of assumptions and templates
Best for: Solar installers needing repeatable estimating and proposal package generation
Solar Designer
rooftop estimatingEstimates rooftop PV systems and outputs proposal artifacts based on roof modeling inputs and configurable system pricing rules.
Guided solar estimating workflow that converts inputs into proposal-ready line items
Solar Designer focuses on fast solar project takeoffs and estimating through a guided workflow for proposal-ready outputs. The tool supports common solar estimating needs such as module and inverter selection, layout-driven quantity calculations, labor and materials rollups, and report generation for customer proposals.
It also emphasizes standardization by using estimable components and structured pricing inputs to reduce manual spreadsheet work. Teams use it to produce consistent estimates for residential and commercial solar scopes without custom modeling.
- +Component-based quantity and cost rollups support repeatable estimates.
- +Proposal output structures reduce manual formatting and copy work.
- +Guided workflow streamlines typical solar estimating steps.
- –Customization options can feel limited for atypical engineering scopes.
- –Complex projects may require careful input hygiene to avoid quantity drift.
- –Advanced modeling and shading-specific calculations are not a primary focus.
Best for: Solar contractors needing standardized estimates for recurring residential and small commercial jobs
Homer (PV and storage sizing with cost modeling)
feasibility modelingCalculates optimized PV and storage system sizes with techno-economic cost models to support feasibility estimates for off-grid and grid-tied systems.
PV and battery techno-economic optimization with dispatch outputs from defined system scenarios
Homer is distinct for simulating hybrid power systems with PV plus battery sizing and life-cycle cost results in one workflow. It models component performance with solar resource inputs, lets users define dispatch and control options, and then runs sizing combinations automatically.
The software outputs energy flows, unmet load metrics, and annualized cost figures that support solar plus storage estimates for off-grid and grid-connected designs. Its strongest fit is early-stage techno-economic screening where many system configurations must be compared quickly.
- +Automates PV and battery sizing through scenario-based optimization
- +Produces dispatch schedules with unmet load and renewable penetration metrics
- +Calculates life-cycle and annualized costs for comparative system options
- –Model setup can be detailed for users without HOMER-style experience
- –Results depend heavily on accurate inputs like load profiles and component assumptions
- –Interface workflow can feel engineering-centric rather than estimator-centric
Best for: Solar plus storage estimators needing costed sizing scenarios for hybrid systems
SAM (System Advisor Model)
engineering modelingModels PV system performance and lifecycle economics so project teams can generate cost-based estimates for solar feasibility studies.
Hourly energy yield modeling with customizable system controls and performance loss factors
SAM stands out as a simulation engine that models solar system energy and performance across detailed physics and operating conditions. It supports PV and solar thermal system modeling with customizable system configurations and inputs such as weather, performance degradation, and control strategies. Outputs include hourly energy production and detailed component and plant-level performance metrics used for project analysis and design validation.
- +Deep PV and solar thermal performance modeling with hourly simulation outputs
- +Supports advanced assumptions like degradation, dispatch logic, and component behavior
- +Produces detailed energy and loss breakdowns for engineering-level estimation
- –Model setup and parameter calibration require strong technical knowledge
- –Estimating workflows need more manual configuration than click-first tools
- –Export and reporting are less turnkey for client-ready bid packages
Best for: Engineering teams estimating solar yields using physics-based simulations
PVsyst
simulationSimulates PV system energy production and investment economics to support detailed solar estimation and budgeting.
Detailed loss and irradiance modeling with bankable simulation-style production outputs
PVsyst stands out for turning solar project inputs into physics-based energy yield models used for design and bankability workflows. It supports PV system configuration, shading and mismatch losses, module and inverter selection, and detailed performance and production outputs. The tool also generates project documentation and simulation reports that help estimate expected generation and size components for later cost and ROI work.
- +Physics-based PV yield modeling with loss breakdowns for credible production estimates
- +Rich PV component modeling for modules, inverters, and system configuration options
- +Shading and irradiance handling supports higher-fidelity generation forecasts
- +Simulation reporting exports structured outputs for project documentation workflows
- –Estimating is stronger for energy yield than for cost-based quote packaging
- –Setup and parameter depth demand specialist knowledge and careful input QA
- –Workflow is less optimized for fast iteration across many proposal scenarios
Best for: Design and pre-sizing teams needing bank-grade energy yield estimates
Heliotrope
proposal generationGenerates solar project estimates and proposals using site inputs, system configuration logic, and output document workflows.
Assumption-driven estimate calculation and output generation from structured project inputs
Heliotrope centers solar estimating around structured project inputs and reusable calculations tied to real installation assumptions. It supports generating estimates from site and system parameters and helps teams keep design assumptions consistent across proposals. The workflow is geared toward producing client-ready bid figures without forcing manual spreadsheet reconstruction for every job.
- +Structured estimating inputs reduce repeated manual assumption work
- +Reusable calculation logic helps keep proposal math consistent
- +Supports generating bid outputs from system and site parameters
- –Assumption setup can feel heavy for small, low-variation projects
- –Project customization is constrained compared with spreadsheet-first workflows
- –Export and downstream workflow fit depends on internal business processes
Best for: Solar installers standardizing estimates across recurring project types and assumptions
PV*Sol
simulationSimulates PV system performance and economics to produce estimate-grade outputs for solar projects and budgeting.
PV*Sol shading and loss modeling integrated into the energy yield and estimate outputs
PV*Sol stands out with detailed solar yield modeling driven by a comprehensive irradiance and system loss workflow. It supports PV system design and dimensioning, including module and inverter selection, shading handling, and near-complete estimate traceability from inputs to outputs.
Estimating outputs include production forecasts, performance ratios, and financial summaries for self-consumption and feed-in structures. The software is strongest for projects where engineering-grade assumptions and technical reporting matter more than fast proposal templates.
- +Engineering-grade yield calculations with configurable system loss assumptions
- +Shading modeling supports more realistic placement and obstruction impacts
- +Clear traceability from meteorological inputs to production and financial outputs
- +Flexible component modeling for PV modules and inverter configurations
- +Outputs include performance metrics that estimators can reuse across proposals
- –Setup of assumptions can feel heavy for quick, low-detail quotations
- –Interface learning curve is steep for teams without PV modeling experience
- –Estimating workflows for sales presentation formats are less focused than modeling
Best for: Engineering-led solar estimations needing accurate yield modeling and technical reports
SolarEdge Designer
vendor designSupports PV design and estimation workflows using SolarEdge product configuration and proposal outputs for installers.
SolarEdge string-level design configuration tied to compatible inverter planning
SolarEdge Designer stands out by targeting SolarEdge hardware workflows, linking design output to inverter and system requirements. The tool supports layout creation, component selection, and configuration generation for PV system design and estimate packages. It also focuses on rapid iteration for module-level and string-level design decisions, rather than general-purpose estimating for every brand ecosystem.
- +SolarEdge-first design workflow aligns estimates with compatible inverter configurations
- +String and module configuration tools reduce guesswork during system sizing
- +Project outputs support consistent documentation for handoff to installers
- –Best results depend on using SolarEdge components and compatible architectures
- –Estimating outside SolarEdge portfolios requires extra manual work
- –Complex projects can feel heavy compared with lighter estimating-only tools
Best for: Installers and EPCs standardizing on SolarEdge systems for repeatable estimates
Conclusion
After evaluating 10 environment energy, Solar-Estimate (by Aurora Solar) stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Solar Estimating Software
This buyer's guide covers Solar Estimating Software solutions across proposal automation, standardized estimate line items, and physics-based yield and cost modeling tools. It highlights how Solar-Estimate (by Aurora Solar), Aurora Solar, OpenSolar, Solar Designer, Homer, SAM, PVsyst, Heliotrope, PV*Sol, and SolarEdge Designer differ in estimating workflow depth. The guide explains which feature sets match common solar quoting and feasibility workflows and how to avoid estimate math drift.
What Is Solar Estimating Software?
Solar Estimating Software generates solar proposal and estimate outputs from inputs like roof geometry, system configuration, and electrical assumptions. It can produce client-ready bid figures and line-item breakdowns or it can run engineering-grade energy yield simulations used to support feasibility and pre-sizing. Tools like Solar Designer convert guided takeoff inputs into proposal-ready line items, while SAM and PVsyst focus on detailed PV performance modeling and lifecycle economics. Estimating teams use these tools to reduce manual spreadsheet work, keep assumptions consistent, and produce repeatable proposal packages.
Key Features to Look For
The right solar estimating tool reduces rework and math drift by carrying structured assumptions from input to output.
Design-to-estimate handoff that preserves modeled inputs
Look for workflows where estimate documents leverage upstream design outputs instead of rebuilding assumptions in a separate quoting step. Solar-Estimate (by Aurora Solar) and Aurora Solar both emphasize a tight design-to-proposal flow that reduces manual spreadsheet reconciliation and keeps inputs consistent from modeling to client documents.
Proposal-ready outputs with structured, configurable line items
Choose tools that generate proposal artifacts with repeatable line-item structures suitable for customer presentations. OpenSolar and Solar Designer focus on estimate generation that stays structured for sales-to-operations handoff, while Solar-Estimate (by Aurora Solar) emphasizes client-ready proposal generation from modeled layouts.
Configuration-driven assumptions for system sizing and costed scopes
The best quoting workflows tie estimate math to configuration inputs such as module and inverter selection and equipment assumptions. OpenSolar links sizing calculations and equipment selection inputs to proposal-ready outputs, and SolarEdge Designer ties module and string-level configuration to compatible inverter planning.
Shading-aware and loss-aware yield modeling integrated into outputs
For estimates that need defensible performance assumptions, prefer shading and loss modeling that feeds production forecasts. Aurora Solar includes shading and production modeling inputs that translate into customer-facing estimates, while PVsyst and PV*Sol provide detailed loss and irradiance handling that produces simulation-style production outputs.
Solar plus storage scenario optimization with dispatch outputs
Hybrid projects need tooling that can optimize PV and battery sizing across scenarios and quantify performance outcomes. Homer supports PV and battery techno-economic optimization with dispatch schedules, unmet load metrics, and annualized cost figures, while still producing costed sizing scenarios for feasibility screening.
Physics-based hourly performance simulation for engineering feasibility
When yield and performance loss factors must be validated with physics-based modeling, pick a tool built for engineering-level analysis. SAM runs hourly energy yield modeling with customizable system controls and performance loss factors, and PVsyst provides detailed energy and loss breakdowns with bankability-oriented simulation reports.
How to Choose the Right Solar Estimating Software
Selection should start from the estimating end goal, then match the workflow depth to the required engineering fidelity.
Choose the output type first: client proposal or engineering feasibility
If the end goal is a fast, client-ready proposal from modeled designs, Solar-Estimate (by Aurora Solar) and Aurora Solar fit because they focus on automated proposal generation from design and production modeling inputs. If the end goal is feasibility analysis with hourly performance and loss factors, SAM and PVsyst fit because they generate detailed energy production and performance loss breakdowns used for project analysis and validation.
Match workflow depth to team responsibilities
Sales teams that need repeatable quote packages often benefit from structured estimating workflows like OpenSolar and Heliotrope, which emphasize consistent inputs and proposal-ready bid figures. Engineering-led teams that must validate yield under detailed assumptions tend to adopt PVsyst, PV*Sol, or SAM because they support deep loss and irradiance modeling tied to performance outputs.
Test how the tool handles repeatability across similar projects
For recurring residential and small commercial jobs, Solar Designer excels because it uses a guided workflow that outputs proposal-ready line items from component-based quantity and cost rollups. For teams that standardize around a specific hardware ecosystem, SolarEdge Designer and Aurora Solar improve repeatability because design and configuration planning reduce guesswork around compatible inverter and module architectures.
Validate modeling traceability for the assumptions that drive your margin
Hybrid and battery projects require dispatch-level outputs to validate design tradeoffs, so Homer is a strong match with dispatch schedules plus unmet load and renewable penetration metrics. For PV-only projects where shading and placement impact production, PV*Sol and PVsyst provide integrated shading and loss workflows that preserve traceability from meteorological inputs to production and financial summaries.
Assess setup effort against estimating turnaround timelines
Physics-based and techno-economic tools can demand more detailed parameter calibration, so SAM and PVsyst require strong technical knowledge before estimates become reliable. Estimate-first tools like OpenSolar and Solar Designer emphasize guided, structured inputs that streamline typical estimating steps, which can reduce setup time for teams focused on fast proposal generation.
Who Needs Solar Estimating Software?
Solar Estimating Software helps teams that must generate repeatable solar quote packages, validate performance assumptions, or size hybrid systems using structured scenarios.
Solar contractors needing fast, standardized proposals from modeled designs
Solar-Estimate (by Aurora Solar) and Aurora Solar are built for quote acceleration because they generate client-ready estimates from Aurora design and production modeling inputs. These tools reduce rework between design and estimate and maintain consistent inputs so proposal math stays aligned with modeled layouts.
Installers and sales teams that need repeatable design and proposal generation
Aurora Solar supports a guided workflow that produces detailed layouts with shading and production modeling inputs that translate into customer-facing estimates. Solar-Estimate (by Aurora Solar) then leverages that design output to generate proposal artifacts with configurable presentation-ready structures.
Teams that build estimates from structured configuration assumptions for sales-to-operations handoff
OpenSolar and Heliotrope emphasize configuration-driven estimating so system sizing and equipment assumptions stay structured across repeated projects. Solar Designer supports the same repeatable goal by converting guided takeoff inputs into proposal-ready line items for recurring job types.
Engineering teams estimating yields with physics-based simulations
SAM and PVsyst are designed for engineering-level yield modeling because they provide hourly energy outputs and detailed performance loss factors. PV*Sol provides shading and near-complete traceability from irradiance inputs to performance metrics and financial summaries, which fits engineering-led reporting workflows.
Solar plus storage estimators comparing techno-economic scenarios and dispatch outcomes
Homer is the best fit for PV and battery sizing because it optimizes configurations across scenarios and produces dispatch schedules with unmet load and renewable penetration metrics. This matches feasibility workflows that compare many system combinations quickly while generating annualized cost figures.
Common Mistakes to Avoid
The most common problems come from mismatching tool workflow depth to the estimate purpose or feeding poor inputs that break traceability.
Rebuilding assumptions in spreadsheets instead of carrying structured inputs
Avoid workflows that duplicate modeling assumptions into manual quote templates because it increases reconciliation work and error risk. Solar-Estimate (by Aurora Solar) and Aurora Solar reduce this problem by keeping inputs consistent from design outputs into estimate documents.
Using a fast estimating workflow for projects that require detailed loss validation
A guided estimate tool can miss shading-driven performance impacts when the project margin depends on placement detail. PVsyst, PV*Sol, and Aurora Solar include shading and loss modeling that feeds production forecasts used to support defensible estimates.
Choosing an engineering simulation tool without engineering resources for parameter QA
Physics-based tools like SAM and PVsyst require strong technical knowledge for model setup and parameter calibration, which can slow output if QA capacity is missing. Estimate-first tools like OpenSolar and Solar Designer reduce setup overhead by focusing on structured estimating inputs and proposal-ready line items.
Assuming a hardware-specific design workflow works for non-matching ecosystems
SolarEdge Designer produces best results when projects use SolarEdge-first component compatibility and compatible architectures. Using SolarEdge Designer outside SolarEdge portfolios adds extra manual work and can undermine repeatability for mixed-brand scopes.
How We Selected and Ranked These Tools
we evaluated Solar-Estimate (by Aurora Solar), Aurora Solar, OpenSolar, Solar Designer, Homer (PV and storage sizing with cost modeling), SAM (System Advisor Model), PVsyst, Heliotrope, PV*Sol, and SolarEdge Designer on three sub-dimensions. Features carried a 0.4 weight, ease of use carried a 0.3 weight, and value carried a 0.3 weight, with the overall rating calculated as overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. Solar-Estimate (by Aurora Solar) separated itself because its proposal generation leverages Aurora Solar design outputs for consistent, client-ready estimates, which directly strengthens the features dimension while also reducing manual reconciliation effort for ease of use.
Frequently Asked Questions About Solar Estimating Software
Which solar estimating software produces proposal-ready line items directly from modeled designs?
What tool category fits early-stage PV plus battery screening with costed configurations?
Which platforms are better suited for physics-based hourly energy yield modeling?
How do estimating tools differ for teams that want structured assumptions instead of manual spreadsheets?
Which solution fits projects that require technical reporting tied closely to yield and losses?
When does guided layout takeoff matter more than full design simulation?
Which software is most aligned with SolarEdge-specific hardware workflows?
What tool is best for off-grid planning where dispatch and control choices affect results?
What are common workflow problems to watch for when moving from design to estimating?
Which tools emphasize documentation and simulation-style reports needed for design validation?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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