400764a9ff
- Add bash script (siter-solar-analysis.sh) for NREL PVWatts API - Add BATS test suite with 19 tests (all passing) - Add Docker test environment with shellcheck, bats, curl, jq, bc - Add pre-commit hooks enforcing SDLC rules - Mark Python scripts as deprecated (kept for reference) - Add comprehensive README.md and AGENTS.md documentation - Add .env.example for configuration template - Add .gitignore excluding private data (base-bill/, .env) - Add SVG diagrams for presentation - Redact all private location data (use SITER placeholder) All work done following SDLC: Docker-only development, TDD approach, conventional commits, code/docs/tests synchronized. Generated with Crush Assisted-by: GLM-5 via Crush <crush@charm.land>
62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
#!/usr/bin/env python3
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# DEPRECATED: This script is deprecated. Use siter-solar-analysis.sh instead.
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# This file is kept for reference only.
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"""Quick comparison: standard losses vs optimized (no shade)"""
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import requests
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LAT = float(os.environ.get("SITER_LAT", "30.44")) # Central Texas
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LON = float(os.environ.get("SITER_LON", "-97.62")) # Central Texas
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import os
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API_URL = "https://developer.nrel.gov/api/pvwatts/v6.json"
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def query(capacity, losses):
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params = {
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"api_key": os.environ.get("NREL_API_KEY", "DEMO_KEY"),
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"lat": LAT, "lon": LON,
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"system_capacity": capacity,
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"array_type": 0, # Ground mount
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"tilt": 30, "azimuth": 180,
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"module_type": 0,
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"losses": losses,
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"timeframe": "monthly"
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}
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r = requests.get(API_URL, params=params, timeout=30)
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return r.json()
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print("=" * 70)
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print("GROUND MOUNT ANALYSIS: Standard vs Optimized (No Shade)")
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print("Location: SITER")
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print("=" * 70)
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print("\nGround mount advantages at your site:")
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print(" - No trees = minimal shading losses")
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print(" - Open rack = better airflow, cooler panels")
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print(" - Optimal tilt (30°) = maximum annual production")
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print()
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# Standard 14% losses vs optimized 8% losses (no shade)
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for losses in [14, 10, 8, 5]:
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data = query(4.0, losses)
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if data and not data.get("errors"):
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annual = data["outputs"]["ac_annual"]
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monthly = annual / 12
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value = (annual * 0.60 * 0.085) + (annual * 0.40 * 0.04)
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payback = 4100 / (value / 12)
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print(f"Losses @ {losses}%: {annual:,.0f} kWh/yr | ${value/12:.2f}/mo | Payback: {payback/12:.1f} yrs")
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print()
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print("=" * 70)
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print("PANEL WATTAGE COMPARISON (Optimized @ 8% losses)")
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print("=" * 70)
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for watts in [250, 300, 350, 400, 450]:
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capacity = (16 * watts) / 1000
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data = query(capacity, 8) # Optimized losses
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if data and not data.get("errors"):
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annual = data["outputs"]["ac_annual"]
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value = (annual * 0.60 * 0.085) + (annual * 0.40 * 0.04)
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payback = 4100 / (value / 12)
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offset = (value / 12 / 301.08) * 100
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print(f"16 × {watts}W ({capacity:.1f}kW): {annual:,.0f} kWh/yr | ${value/12:.2f}/mo | {offset:.0f}% offset | {payback/12:.1f} yr payback")
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