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[Utility & Helpers](/categories/utility) 4. / 5. davecook/solar-panel-yield-2026 ActiveLibrary[Utility & Helpers](/categories/utility) davecook/solar-panel-yield-2026 =============================== Reference calculator for PV soiling loss and water-fed pole cleaning ROI in Canada. v0.1.0(3mo ago)00MITPythonPHP >=8.0 Since Apr 12Pushed 3mo agoCompare [ Source](https://github.com/DaveCookVectorLabs/solar_panel_yield_2026)[ Packagist](https://packagist.org/packages/davecook/solar-panel-yield-2026)[ RSS](/packages/davecook-solar-panel-yield-2026/feed)WikiDiscussions main Synced 3w ago READMEChangelogDependenciesVersions (2)Used By (0) Solar Panel Cleaning Yield Recovery =================================== [](#solar-panel-cleaning-yield-recovery) Reference calculator, datasets, and working paper on photovoltaic (PV) soiling loss, water-fed pole (WFP) cleaning engineering, and cleaning ROI for PV systems in Canada. [![PyPI](https://camo.githubusercontent.com/51b7abc9c7738f4b80456c79f25b9c2ff0184481a25031c80f8cff1ba2bf5934/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f736f6c61722d70616e656c2d7969656c642d323032362e737667)](https://pypi.org/project/solar-panel-yield-2026/)[![npm](https://camo.githubusercontent.com/0431296dca8c8a84ab63e5eb0534585f5564d8c875c1265e72c796aecf2be744/68747470733a2f2f696d672e736869656c64732e696f2f6e706d2f762f4064617665636f6f6b2f736f6c61722d70616e656c2d7969656c642d323032362e737667)](https://www.npmjs.com/package/@davecook/solar-panel-yield-2026)[![Crates.io](https://camo.githubusercontent.com/0310647d29308d0247929657758e55d8d7fd8068cd36e1d77f934143669ca5de/68747470733a2f2f696d672e736869656c64732e696f2f6372617465732f762f736f6c61722d70616e656c2d7969656c642d323032362e737667)](https://crates.io/crates/solar-panel-yield-2026)[![License: MIT](https://camo.githubusercontent.com/fdf2982b9f5d7489dcf44570e714e3a15fce6253e0cc6b5aa61a075aac2ff71b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4c6963656e73652d4d49542d79656c6c6f772e737667)](LICENSE)[![Docs: CC BY 4.0](https://camo.githubusercontent.com/d74ebbf1b50d20f6f76e340df511b0d11e045be86a5ae8d0c5e532bfafc5b069/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f446f63732d43432532304259253230342e302d626c75652e737667)](https://creativecommons.org/licenses/by/4.0/) What this is ------------ [](#what-this-is) A companion toolkit to the working paper **Solar Panel Cleaning Yield Recovery: Soiling Loss, Water-Fed Pole Engineering, and Cleaning ROI for Photovoltaic Systems in Canada** (v0.1.0, April 2026). The paper and this repository cover: - Soiling physics: how fast transmittance drops as dust accumulates, by climate zone and panel tilt - Water-fed pole engineering: deionized resin capacity as a function of inlet TDS, PV geometry to pole-length mapping, brush technique, and the fall-protection argument for grade-based operation - Regional solar resource: monthly irradiance for six Ontario cities - Cleaning economics: annual yield recovered vs cleaning interval for residential, commercial, and utility-scale systems - Regulatory crosswalk: OSHA, CSA, IEC, ASTM, Health Canada, NRCan, ECCC Repository layout ----------------- [](#repository-layout) ``` datasets/ 7 CSVs + generator + HF dataset card pdfs/ Working paper (31 pages) + generator docs/ Sphinx documentation (ReadTheDocs) engines/ 8 language implementations: python/ FastAPI + CLI reference engine (PyPI) rust/ Actix-web server (Crates.io) java/ Maven-packaged JAR (Maven Central) ruby/ Gem (RubyGems) elixir/ Mix package (Hex.pm) php/ Composer library (Packagist) go/ Go module (pkg.go.dev) nostr/ Long-form article publisher (6 relays) notebooks/ Jupyter notebook (GitHub browse) kaggle/ Same notebook + Kaggle metadata observable/ ObservableHQ notebook markdown public/ PHP form + JS calculator SOURCES.md Bibliography ``` Quick start (Python) -------------------- [](#quick-start-python) ``` pip install solar-panel-yield-2026 python -c "from engine import calculate, _canonical_vector; print(calculate(_canonical_vector()))" ``` Or run the reference engine against the canonical test vector from the source tree: ``` python engines/python/engine.py sample ``` Or start the HTTP server: ``` python engines/python/engine.py serve --port 8000 curl -X POST http://127.0.0.1:8000/calculate -H 'Content-Type: application/json' -d '{ "system_capacity_kwp": 5.0, "ghi_annual_avg": 3.54, "days_since_cleaning": 30 }' ``` Cross-language parity --------------------- [](#cross-language-parity) All eight engines produce identical output for the canonical test vector: InputValuesystem\_capacity\_kwp5.0ghi\_annual\_avg3.54 (Sudbury)days\_since\_cleaning30soil\_classmediumclimate\_zonetemperatepanel\_tilt\_deg15electricity\_price\_cad\_per\_kwh0.14cleaning\_visit\_cost\_cad120.00tap\_water\_tds\_ppm180panel\_height\_ft12OutputValuecurrent\_loss\_pct.expected4.3485 %lost\_cad\_per\_day.expected0.0862 CADclean\_annual\_kwh5,168.4never\_clean\_annual\_loss\_cad86.83wfp\_pole\_ft10wfp\_cartridge1L\_cartridgewater\_per\_cleaning\_l15.2ro\_prestage\_recommendedfalseDatasets -------- [](#datasets) Seven CSVs published under CC BY 4.0; see `datasets/README.md`. Working paper ------------- [](#working-paper) 31-page working paper, CC BY 4.0. Build from source: ``` pip install reportlab python pdfs/generate_pdfs.py ``` License ------- [](#license) - **Code:** MIT (see `LICENSE`) - **Datasets, PDF, dataset card:** CC BY 4.0 Maintainer ---------- [](#maintainer) Dave Cook, Binx Professional Cleaning, North Bay, Ontario, Canada. Contact: . ### Health Score 29 — LowBetter than 57% of packages Maintenance80 Actively maintained with recent releases Popularity0 Limited adoption so far Community2 Small or concentrated contributor base Maturity29 Early-stage or recently created project How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window. **Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores. **Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement. **Maturity (30%)** — Project age, version count, PHP version support, and release stability. ### Release Activity Cadence Unknown Total 1 Last Release 103d ago ### Community Maintainers ![](https://www.gravatar.com/avatar/dd835051bc63bd26f7ce0558ef339a45045e09d8306b7c6ca7d53a4ccd5828e0?d=identicon)[Dave Cook](/maintainers/Dave%20Cook) ### Embed Badge ![Health badge](/badges/davecook-solar-panel-yield-2026/health.svg) ``` [![Health](https://phpackages.com/badges/davecook-solar-panel-yield-2026/health.svg)](https://phpackages.com/packages/davecook-solar-panel-yield-2026) ``` ### Alternatives [yiidoc/yii2-timeago Timeago is a jQuery plugin that makes it easy to support automatically updating fuzzy timestamps. 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