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SKILL verified Apache-2.0 Self-run

Neqsim Gas Turbine Performance Screening

skill-equinor-neqsim-community-skills-gas-turbine-performance-screening · by equinor

Educational gas-turbine performance screening using open ISO 3977 / GL1029 style derate factors. USE WHEN: a task needs a public, screening-level estimate of site-rated shaft power, site heat rate, thermal efficiency, fuel heat input, exhaust mass flow, and exhaust temperature for a gas-turbine driver before detailed package selection.

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$ agentstack add skill-equinor-neqsim-community-skills-gas-turbine-performance-screening

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No issues found. Passed automated security review. · v0.1.0 How review works →

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  • Filesystem access No
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About

Gas Turbine Performance Screening

Use this skill for public, educational gas-turbine performance screening. It corrects an ISO base rating for ambient temperature, site elevation, and inlet/exhaust pressure losses to estimate site-rated shaft power, site heat rate, thermal efficiency, fuel heat input, exhaust mass flow, and exhaust temperature so an agent can scope a driver-selection study before detailed package review.

When to Use

  • When a user asks how much power a gas-turbine driver makes at site conditions versus its ISO rating.
  • When an agent needs a quick site heat rate, fuel heat input, or exhaust mass flow estimate for waste-heat or HRSG scoping.
  • When examples must run without confidential vendor performance maps or company package specs.

Inputs

  • iso_base_power_kw: ISO base-load shaft power rating in kW.
  • iso_heat_rate_kj_kwh: ISO base-load heat rate in kJ/kWh.
  • ambient_temperature_k: site ambient temperature in kelvin, default 288.15 (ISO reference).
  • site_elevation_m: site elevation above sea level in m, default 0.
  • relative_humidity: site relative humidity fraction, default 0.6 (small effect).
  • inlet_pressure_loss_mbar: inlet system pressure loss in mbar, default 10.
  • exhaust_pressure_loss_mbar: exhaust system pressure loss in mbar, default 10.
  • required_shaft_power_kw: optional driven-equipment shaft power in kW for the margin check.

Outputs

  • site_power_kw: derated site shaft power.
  • ambient_derate_factor: ambient-temperature power factor.
  • altitude_derate_factor: site-elevation power factor.
  • pressure_loss_derate_factor: combined inlet/exhaust pressure-loss power factor.
  • total_derate_factor: product of all derate factors.
  • site_heat_rate_kj_kwh: site heat rate after efficiency degradation.
  • thermal_efficiency: shaft thermal efficiency from the site heat rate.
  • fuel_heat_input_kw: fuel lower-heating-value heat input.
  • exhaust_mass_flow_kg_s: screening exhaust mass flow.
  • exhaust_temperature_k: screening exhaust temperature.
  • power_margin_ratio: site power divided by required shaft power, or null.
  • power_warning: ok, watch, insufficient-power, or no-rating.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class GasTurbinePerformanceModel uses open performance-derate relations only:

  • ambient derate uses f_amb = 1 - 0.007 (T_amb - 288.15), clamped at zero.
  • altitude derate uses f_alt = 1 - 1.1e-4 * elevation, from reduced barometric pressure.
  • pressure-loss derate uses f_inlet = 1 - 0.002 * dP_inlet and f_exhaust = 1 - 0.001 * dP_exhaust.
  • site power uses P_site = P_iso * f_amb * f_alt * f_inlet * f_exhaust * f_humidity.
  • site heat rate uses HR_site = HR_iso (1 + 0.5 (1 - f_total)) so efficiency falls with derate.
  • fuel heat input uses Q_fuel = P_site * HR_site / 3600.
  • exhaust mass flow uses a fixed specific-flow factor m_exh = P_site * 0.003.

This is educational and screening-only logic. It assumes linear derates, a fixed specific exhaust flow, and a typical exhaust temperature. It is not a replacement for validated gas-turbine performance models or qualified package review.

Python Usage Pattern

from gas_turbine_performance_screening import GasTurbinePerformanceModel

model = GasTurbinePerformanceModel()
result = model.evaluate(
    iso_base_power_kw=30000.0,
    iso_heat_rate_kj_kwh=9500.0,
    ambient_temperature_k=303.15,
    site_elevation_m=50.0,
    required_shaft_power_kw=26000.0,
)

print(result.site_power_kw)
print(result.site_heat_rate_kj_kwh)
print(result.power_warning)

Related NeqSim Functionality

For validated power-generation calculations, redirect to NeqSim classes:

  • neqsim.process.equipment.powergeneration.GasTurbine — gas-turbine driver model with fuel and exhaust calculations.
  • neqsim.process.equipment.powergeneration.HRSG — heat-recovery steam generator using turbine exhaust.
  • neqsim.process.equipment.powergeneration.CombinedCycleSystem — combined-cycle integration of turbine and steam systems.

This skill is a public triage layer that decides when to invoke a validated gas-turbine model.

Validation Checklist

  • [ ] ISO base power and heat rate are positive.
  • [ ] Ambient temperature is positive and elevation is non-negative.
  • [ ] Tests cover ambient derate, the power margin, the fuel/efficiency estimate, and invalid input.
  • [ ] Results are described as educational screening indicators.
  • [ ] Real driver selection is redirected to validated NeqSim power-generation classes and qualified review.

Common Mistakes

| Symptom | Cause | Fix | | --- | --- | --- | | Site power above ISO rating | Ambient below 288.15 K | Screening caps uprate; treat sub-ISO gains conservatively | | Power margin missing | No required shaft power supplied | Provide required_shaft_power_kw for the margin check | | Exhaust flow looks flat | Fixed specific-flow factor used | Use a validated gas-turbine model for HRSG sizing |

Limitations

  • No proprietary vendor performance maps, fuel composition effects, or company specs are included.
  • Derates are linear screening factors; part-load, water injection, and DLE effects are not modelled.
  • Exhaust mass flow and temperature use fixed screening assumptions, not a heat-and-mass balance.

References

  • ISO 3977, Gas turbines — Procurement.
  • ISO 2314, Gas turbines — Acceptance tests.
  • NeqSim repository: https://github.com/equinor/neqsim

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.