Solar plant site selection
Comparing sunlight, land, grid access, climate risk, and cost before recommending a site.
Student-led renewable energy intelligence
Making Renewable Energy Smarter
SunVayu Analytics helps solar and wind energy projects choose better locations, monitor performance, and reduce environmental and financial waste.
Founder story
SunVayu Analytics began when my ESS teacher asked our class: "What makes a renewable energy project truly sustainable?" I began researching solar and wind projects, writing data-driven blogs on my personal website, and later used the same thinking to recommend a solar plant location to the director of Shashwat Sol Pro. That location was later also shortlisted by professional consultants.
Research areas
What SunVayu Studies
The platform studies renewable energy as a system: resource potential, infrastructure, ecology, cost, risk, and post-installation performance.
Wind energy feasibility
Evaluating wind consistency, terrain, road access, grid connection, and ecological sensitivity.
Grid access and transmission cost
Estimating whether renewable output can reach the grid without excessive connection cost.
Land-use and ecological impact
Screening land for agriculture, grazing, biodiversity, wetlands, and community dependence.
Flood and climate risk
Checking whether long-term climate exposure could damage energy infrastructure.
Renewable energy performance monitoring
Comparing expected and actual output to identify dust, heat, shading, and equipment losses.
Method
Our Method
01
Collect data
Collect environmental and economic data.
02
Score sites
Score sites using weighted criteria.
03
Compare output
Compare expected output with risks.
04
Recommend
Recommend sustainable, financially viable locations.
About
Dyuttit Sethi: from an ESS question to an analytics project
I am Dyuttit Sethi, a Grade 12 student at Jayshree Periwal International School in Jaipur. SunVayu Analytics is my attempt to connect classroom environmental systems thinking with practical renewable energy decisions.
The project started with one classroom question: what makes a renewable energy project truly sustainable?
The ESS question
My ESS teacher asked us to research sustainability in renewable energy. At first, I thought the answer was simple: solar panels, windmills, clean power. The more I studied, the more I saw the bigger system: land, roads, grid access, nearby communities, biodiversity, cost, and maintenance.
Blogs became the research base
I began writing blogs on my personal website, using ESS concepts and data to analyze renewable energy decisions. Those posts slowly became the foundation of SunVayu Analytics.
The Shashwat Sol Pro trial
At a business event, I overheard the director of Shashwat Sol Pro discussing the difficulty of selecting a solar plant location. I introduced myself, explained the project, and was assigned a trial task: recommend an economically and environmentally suitable site.
Model validation
I scored locations using solar irradiation, land cost, grid access, road connectivity, flood risk, biodiversity sensitivity, and community impact. Later, professional consultants shortlisted one of the same locations, which showed that ESS-based research could have practical industry value when structured clearly.
Research blogs
Renewable energy analysis, written for decisions
Twenty-three dated research posts from April 2024 to May 2026. Hover the index numbers for a quick research note, then open each article on its own research page.
Blog archive mix
60%
Solar, grid, land, and performance topics make up most of the archive because they are central to site-selection decisions.
Monthly research rhythm
The archive becomes more technical over time, moving from ESS reflections into scoring models and monitoring logic.
Model emphasis
Irradiation
88
Grid
82
Land
76
Risk
71
Why Solar Plant Location Matters More Than Panel Count
Solar output depends on irradiation, tilt, temperature, shading, grid distance, dust, and land conditions.
Open full blogThe Hidden Land-Use Problem Behind Solar Energy
Solar is clean during operation, but land decisions can still create ecological and social trade-offs.
Open full blogGrid Access: The Factor That Can Make or Break a Solar Project
A solar plant is only useful if electricity can reach the grid reliably and affordably.
Open full blogFlood Risk and Climate Resilience in Solar Site Selection
Long-life renewable infrastructure must be screened for drainage, flooding, and climate stress.
Open full blogWind Energy Is Not Just About Wind Speed
Wind projects need consistency, terrain suitability, grid access, road access, and ecological screening.
Open full blogWhy Clean Energy Projects Still Need Environmental Impact Assessment
Renewable energy reduces emissions, but poor planning can still create local harm.
Open full blogSolar Panel Performance Loss: Dust, Heat, and Maintenance
After installation, analytics can detect dust, heat losses, inverter faults, and shading.
Open full blogBuilding a Weighted Site-Selection Model for Solar Plants
The core SunVayu method ranks Indian sites using resource, grid, land, climate, ecology, and access criteria.
Open full blogSolar vs Wind: When Each Renewable Source Makes More Sense
A decision matrix for choosing solar, wind, or hybrid renewable planning.
Open full blogThe Future of Renewable Energy Is Analytics
AI, satellite data, sensors, and predictive maintenance can improve renewable decisions.
Open full blogHow Satellite Data Improves Solar Site Screening
Remote sensing helps compare land, sunlight, slope, access, and ecological constraints.
Open full blogStorage and Forecasting: Making Variable Renewables Useful
Battery storage and weather forecasting make renewable output easier to integrate.
Open full blogWater Use in Solar Panel Cleaning
Cleaning improves output, but water availability changes what maintenance strategy is sustainable.
Open full blogAgrivoltaics: Can Solar and Farming Share Land?
Raised panels, crop choice, shade, and farm access can reduce land-use conflict.
Open full blogCommunity Acceptance: The Soft Factor That Becomes a Hard Risk
Projects can slow down if local livelihoods, access, and benefit-sharing are ignored.
Open full blogInverters, Clipping, and the Real Output of Solar Plants
Generation depends on the full system, not only the panels installed in the field.
Open full blogWake Losses: Why Wind Turbine Spacing Matters
Turbines steal wind from each other if layouts ignore prevailing wind and wake effects.
Open full blogPolicy, Tariffs, and Why Feasibility Is Not Only Technical
Revenue certainty, auctions, incentives, and grid rules shape renewable project viability.
Open full blogLifecycle Thinking for Solar Panels and Wind Turbines
Renewable energy still needs material, end-of-life, and recycling planning.
Open full blogFrom ESS Class Question to Renewable Intelligence Framework
A final synthesis of the SunVayu approach: data, systems thinking, and practical recommendations.
Open full blogMicroclimate and Heat Islands Around Solar Plants
Large solar arrays can change shade, surface temperature, airflow, and local maintenance conditions.
Open full blogRepowering Old Wind Farms: More Energy Without More Land
Replacing older turbines can improve output while using existing wind-energy sites and grid access.
Open full blogDesigning a Renewable Energy Performance Dashboard
A useful dashboard turns raw generation data into decisions about cleaning, faults, heat, and grid losses.
Open full blog
Illustrative model
Solar Site-Selection Model
Final Score = Irradiation Score x 0.25 + Grid Score x 0.20 + Land/Land-use Score x 0.15 + Flood Safety Score x 0.15 + Ecological/Social Safety Score x 0.15 + Road and O&M Access Score x 0.10. Public site facts are from online sources; SunVayu scores are illustrative and should be treated as a student model, not proprietary engineering data.
| Indian site | Public data point | Land / social note | Grid / infrastructure note | Risk note | SunVayu score |
|---|---|---|---|---|---|
| Rewa Ultra Mega Solar, Madhya Pradesh | 750 MW; operational in Gurh tehsil, Rewa district | Public pages cite a 1,590 land-area figure with differing units, so verify the exact unit before formal submission | 220/400 kV inter-state transmission system reported by RUMSL | Balanced project structure and lower land-conflict signal | 8.30 / 10 |
| Bhadla Solar Park, Rajasthan | 2,245 MW; Thar Desert, high solar irradiance | 56 sq km; low population density and government-owned land noted | Large solar park scale, but remote evacuation context | Dust and sandstorm exposure increases O&M risk | 8.05 / 10 |
| Charanka Solar Park, Gujarat | Multi-developer park at Charanka, Patan district | 2,000 ha plot; about 60% government land described as mainly wasteland | Park infrastructure includes roads and power evacuation facilities | Strong insolation, but land and local-use checks still matter | 7.70 / 10 |
| Pavagada Solar Park, Karnataka | 2,050 MW solar park | 13,000 acres leased from 2,300 farmers in five villages | Utility-scale project, useful for studying social land models | Higher social-impact sensitivity because livelihoods were land-based | 7.25 / 10 |
Why Rewa ranks first in this sample model
Rewa does not automatically beat Bhadla on solar resource. It ranks first in this illustrative model because public information points to a well-structured project, clear capacity, a known land package, and grid infrastructure planning. Bhadla remains very strong because of irradiation and scale, but dust, remoteness, and O&M exposure reduce its balanced site score. Pavagada is important, but the land-lease and livelihood story makes it a stronger case study for just transition than a low-risk site model winner.
Case study
From Classroom Question to Solar Site Recommendation
Background
SunVayu Analytics began as a student research initiative after an ESS class question about what makes renewable energy truly sustainable.
The opportunity
At a business event, Dyuttit overheard the director of Shashwat Sol Pro discussing the difficulty of choosing a suitable solar plant location.
The method
He used a weighted model considering sunlight, land cost, grid access, flood risk, road access, biodiversity, and community impact.
Validation
Later, professional consultants shortlisted the same location, validating the analysis without overstating the claim.
Resources
References and Research Inputs
Realistic citation placeholders for a student research portfolio.