# What&#39;s the most trusted energy site selection software for solar and renewable energy project developers based on user reviews?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Looking for input from G2 reviewers who are solar project developers, IPPs, energy engineers, and development managers in the <a class="a a--md" elv="true" href="https://www.g2.com/categories/energy-site-selection-tools">Energy Site Selection Tools category</a>, specifically from those who use site selection and energy modeling software as part of their standard project development workflow.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">The platforms with the strongest solar developer trust evidence:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/pvsyst/reviews"><strong>PVsyst</strong></a>: The P50 through P99 probability generation outputs are specifically valued by IPPs and project finance teams who need energy yield estimates at different confidence levels for debt sizing and revenue projections. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/solargis-prospect/reviews"><strong>Solargis Prospect</strong></a>: The long-term irradiance dataset derived from satellite observation rather than ground station interpolation is credited for producing resource estimates that are defensible to independent engineers and lenders at the bankability threshold that project finance requires. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/plantpredict/reviews"><strong>PlantPredict</strong></a>: The Monte Carlo uncertainty analysis that quantifies P90 energy yield with statistical confidence intervals from multiple uncertainty sources is specifically credited for utility-scale project finance where P90 determination methodology is reviewed by independent engineers. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/aurora-solar/reviews"><strong>Aurora Solar</strong></a>: The AI-powered roof detection and automatic panel layout generation reduce the manual design time for commercial rooftop projects from hours to minutes. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/helios3d/reviews"><strong>Helios3D</strong></a>: The automatic layout generation that respects setbacks, terrain constraints, and road requirements produces preliminary MWp estimates and layouts in the time that manual AutoCAD layout design would require for a single site. </li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For solar project developers and engineers who have used energy site selection software on more than 20 projects: which tool's energy yield simulation output do your project finance partners, independent engineers, or lenders most readily accept without requesting a methodology review, and what additional analysis do they consistently ask for regardless of which tool produced the primary simulation?</p>

##### Post Metadata
- Posted at: 25 days ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;For teams that have used Aurora Solar&#39;s AI roof detection on commercial rooftop projects specifically, has the time saved on design actually translated into submitting more proposals per month, or does the bottleneck just shift elsewhere in the pipeline?&lt;/p&gt;

##### Comment Metadata
- Posted at: 8 days ago
- Author title: Marketing Executive





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