☀️ SPVWPS Design Tool — About

Solar Photovoltaic Water Pumping System · FAO-56 Penman-Monteith · PM-KUSUM

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Dinesh Kumar

Dinesh Kumar

B.Tech — Agricultural Engineering  |  Dr. Rajendra Prasad Central Agricultural University, Pusa, Bihar
Agricultural Engineering Solar Irrigation FAO-56 Methodology PM-KUSUM Python · Flask

Developed as part of B.Tech final year project at RPCAU Pusa. This tool implements the internationally accepted FAO-56 Penman-Monteith evapotranspiration methodology for accurate crop water requirement estimation and solar pump sizing — bridging the gap between scientific irrigation design and on-ground implementation under India's PM-KUSUM scheme. Thanks to Ravish Chandra sir for their invaluable guidance and mentorship for this project.

Project Guide

Dinesh Kumar

Dr. Ravish Chandra

Faculty Guide · Department of irrigation and drainage engineering · Dr. Rajendra Prasad Central Agricultural University, Pusa, Bihar

This project was developed under the expert guidance of Dr. Ravish Chandra, whose mentorship shaped the scientific rigour of the methodology — from FAO-56 reference evapotranspiration computation to PM-KUSUM compliant system sizing and cost estimation frameworks.

About This Tool

The SPVWPS Design & Sizing Tool is a web-based decision support system for the optimal design of Solar Photovoltaic Water Pumping Systems for agricultural irrigation. It integrates real-time climatological data from NASA POWER API with FAO-56 crop water requirement models to compute accurate pump hydraulic power, solar PV array sizing, and PM-KUSUM aligned cost estimates — eliminating the need for manual spreadsheet calculations that are prone to significant oversizing errors.

ET₀ Computation
FAO-56 Penman-Monteith (Eq. 6) — full Rns, Rnl, Δ, γ implementation
Crop Coefficient
FAO-56 four-stage Kc interpolation with local climate adjustment (Eq. 62)
Effective Rainfall
USDA-SCS Technical Release No. 21 methodology
Pump Power
ρgQH / (η_pump × η_motor) with 20% ISO 9906 safety margin
Solar PV Sizing
E_daily / (PSH × PR) — PSH from NASA POWER GHI data
Cost Estimation
MNRE benchmark 2025–26 · PM-KUSUM 30/30/30/10 subsidy structure
Climate Data Source
NASA POWER API v2 — 22-year monthly climatological means
Location Input
Browser GPS (W3C Geolocation API) or manual lat/lon entry

References

Disclaimer: This tool is developed for academic and research purposes as part of a B.Tech final year project at RPCAU Pusa. Results are based on climatological averages from NASA POWER and standard agronomic coefficients from FAO-56. Actual field conditions may vary. Users are advised to validate outputs with local agronomic experts and certified solar system designers before implementation.

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