neqsim-relief-load-screening

Relief Load Screening

Use this skill for public, educational pressure-relief screening examples. It provides a simple fire-case heat input and relief mass-rate indicator that helps agents structure early relief questions before moving to validated relief sizing and detailed process safety design.

When to Use

• When a user asks for a quick, public fire-case relief load triage example.
• When an agent needs a placeholder relief mass-rate estimate to scope a relief or flare study.
• When examples must run without confidential vessel data, project relief bases, or company design rules.

Inputs

• wetted_area: fire-exposed wetted surface area in m2.
• latent_heat: latent heat of vaporization of the relieving fluid in kJ/kg.
• relief_pressure: set or relieving pressure in bara (used for context and warnings).
• environment_factor: dimensionless credit factor for insulation or drainage, default 1.0 (no credit).

Outputs

• fire_heat_input_kW: screening fire heat input from a public API 521 style correlation.
• relief_mass_rate_kg_per_h: screening vapor relief mass rate from heat input divided by latent heat.
• relief_load_indicator: dimensionless ratio of relief mass rate to a configurable public basis.
• relief_warning: ok, watch, or high.
• assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class ReliefLoadModel uses open, published correlations only:

• fire heat input uses the public API 521 adequate-drainage form Q = F * C * A^0.82 with a public coefficient expressed in kW.
• vapor relief mass rate is estimated as fire heat input divided by latent heat of vaporization.
• the relief load indicator scales the relief mass rate by a configurable public reference basis.
• warnings are rule-based thresholds on the relief load indicator.

This is educational and screening-only logic. It is not a relief sizing standard, an orifice sizing method, a vendor method, or a replacement for a validated relief design and process safety review.