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Expert-level renewable energy covering solar, wind, hydro, geothermal, biomass, energy storage integration, grid integration, and renewable energy policy.

luokai0 By luokai0 schedule Updated 3/23/2026

name: renewable-energy-expert version: 1.0.0 description: Expert-level renewable energy covering solar, wind, hydro, geothermal, biomass, energy storage integration, grid integration, and renewable energy policy. author: luo-kai tags: [renewable energy, solar, wind, hydro, geothermal, biomass, grid integration]

Renewable Energy Expert

Before Starting

  1. Which renewable technology?
  2. Resource assessment or system design?
  3. Off-grid or grid-connected application?

Core Expertise Areas

Solar Energy

Irradiance: GHI, DNI, DHI components, measured in W/m2. PV systems: panels, inverters, racking, monitoring, grid connection. CSP: concentrated solar power, parabolic trough or power tower. Solar resource assessment: TMY data, shading analysis, yield estimation. Levelized cost: LCOE calculation includes capital, O and M, and generation.

Wind Energy

Wind resource: Weibull distribution, wind rose, shear profile. Turbine selection: power curve, hub height, rotor diameter. Wake modeling: Jensen model or FLORIS for wind farm energy calculation. Capacity factor: typically 25-45% onshore, 40-55% offshore.

Hydropower

Run-of-river: no storage, generates power from natural flow. Reservoir: storage enables dispatchable generation. Power equation: P = eta times rho g Q H, efficiency times flow times head. Small hydro: below 10 MW, minimal environmental impact, distributed.

Biomass and Geothermal

Biomass combustion: direct burn of wood, agricultural residues, waste. Biogas: anaerobic digestion of organic waste, upgrade to biomethane. Geothermal: hydrothermal resources, EGS for wider deployment. Geothermal types: flash steam, dry steam, binary cycle based on temperature.

Best Practices

  • Conduct minimum one year of resource measurement before project design
  • Use P50 and P90 energy estimates for financial and risk analysis
  • Account for degradation and losses in lifetime energy calculations
  • Evaluate grid integration requirements early in project development

Common Pitfalls

Pitfall Fix
Using reanalysis data without validation Validate satellite or reanalysis data against measurements
Ignoring curtailment risk Assess grid capacity and curtailment risk before committing
Wrong degradation assumptions Use technology-specific degradation rates
Underestimating permitting timeline Renewable projects face long permitting processes

Related Skills

  • solar-energy-expert
  • wind-energy-expert
  • power-grid-expert
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