A free, data-driven tool that helps underserved Texas households understand the true cost and savings of going solar — in minutes, not months.
Our hourly simulation engine models 8,760 hours of energy flow — solar generation, battery charging, grid interaction — to find the system that maximizes your savings.
Solar energy can dramatically reduce electricity costs — but too often, the tools to evaluate it are expensive, technical, or simply unavailable to lower-income communities.
Solar Access Texas was founded by Jason Wang, a high school student at Jordan High School in Fulshear, TX. Jason's optimization model — which won recognition at IEEE PVSC 54 — is the backbone of this platform. We're expanding it into a free, bilingual tool for all Texans.
We use real data from NREL, the U.S. Census, and ERCOT to give you accurate, site-specific estimates — not generic guesses.
Enter your location and basic info. Our engine pulls real solar data and runs thousands of simulations to find your optimal system.
Provide your address or ZIP code. We pull real solar irradiance data from NREL's PVWatts for your exact location in Texas.
Enter your monthly electricity bills or use our Texas default load profiles. We model your real household demand hour by hour.
Our optimizer tests hundreds of PV + battery size combinations, simulating 8,760 hours of energy flow to find your best system.
See your recommended system size, projected NPV, payback period, and 20-year savings — plus guidance on incentives and next steps.
Solar Access Texas is designed specifically for communities that face higher energy burdens and fewer resources to navigate the solar decision.
Far from the grid infrastructure center, rural families often pay more for electricity and have the most to gain from going solar.
Our fully bilingual platform ensures language is never a barrier to understanding your solar options and financial return.
Public institutions with high energy costs can use our tool to evaluate solar investments and reduce operating expenses.
Residents in Texas border colonias face unique energy challenges. Our ERCOT-integrated model accounts for local grid conditions.
Student-driven, community-focused, and data-powered.
Rising junior at Jordan High School, Fulshear, TX. Published PV+BESS optimization model at IEEE PVSC 54. Building the Python engine and dataset pipeline.
IEEE PVSC 54Guiding the project strategy, community outreach, and long-term development roadmap for Solar Access Texas.
Strategy & OutreachWe're actively seeking mentors, community organizations, and partners in Texas to help us reach the communities that need this most.
Join UsFrom research paper to community impact — here's where we're headed.
Port Excel model to Python. Build NREL + Census + ERCOT data pipeline. Launch this website.
Launch interactive web calculator. Test with 3–5 partner communities in underserved Texas regions.
Partner with nonprofits and energy equity orgs. Add incentive program database (ITC, SECO grants, etc.).
Mobile-friendly AI assistant that guides homeowners through the solar decision in plain English and Spanish.
Whether you're a community organization, mentor, researcher, or just someone who wants solar — we'd love to hear from you.