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GP-EE-0PDGAHTElectricalReady

SF6-Free High-Voltage Switchgear Technology and Lifecycle Assessment

A completed high-voltage switchgear study comparing SF6 and SF6-free architectures across voltage applicability, dielectric and interruption performance, type-test evidence, lifecycle impact, handling, maintenance and regulation.

SF6-Free High-Voltage Switchgear Technology and Lifecycle Assessment project visual
GP-EE-0PDGAHT · Electrical
  • Python 3.12
  • NumPy
  • pandas
  • Matplotlib

Software compatibility

Python 3.12 or later

The retained release and clean Linux container run use Python 3.12. No paid engineering software or external dataset is required to reproduce the comparison.

Project definition

Problem statement

SF6 enables compact and mature high-voltage switchgear, but its climate impact and changing regulation require utilities to consider alternative insulation and interruption architectures.

The electrical engineering problem is to compare complete equipment functions without treating a lower-GWP gas, a vacuum interrupter, a prototype target or a development test as a certified and universally suitable replacement.

Project objectives

  • Compare SF6, clean air, dry air, N2/O2, CO2/O2, C4-FN, C5-FK, solid-insulated, air-insulated and hybrid architectures.
  • Apply a hard voltage-evidence gate across seven applications from 24 kV to 550 kV.
  • Separate dielectric, interruption, thermal, climate, footprint, handling, type-test and field-maturity evidence.
  • Calculate a transparent forty-year reference-bay lifecycle climate position.
  • Build a type-test crosswalk and lifecycle FMEA across eleven stages.
  • Quantify sensitivity and fixed-seed uncertainty without converting declared positions into certified performance.

Project structure

Project components

01

Technology register

Defines ten insulation and interruption architectures with explicit voltage, maturity, gas, footprint, handling and evidence positions.

02

Application model

Represents seven indoor, outdoor, hot-humid, coastal, cold, AC and HVDC study cases from 24 kV to 550 kV.

03

Voltage and decision gates

Excludes unsupported ratings before applying technical, policy, climate, process-risk and footprint factors.

04

Lifecycle model

Calculates a forty-year reference position from gas charge, GWP, production loss, annual leakage, end-of-life loss, enclosure, operation and maintenance.

05

Test and risk model

Crosses twelve type-test requirements with eleven lifecycle stages in a 132-cell FMEA.

06

Verification pipeline

Regenerates results and figures, runs tests and lint, audits dependencies, validates documents and reproduces the study in Docker.

Methodology

Project workflow

  1. 01
    Freeze the application

    State voltage, current, fault duty, insulation level, installation, climate, footprint, interfaces and service life.

  2. 02
    Apply the voltage gate

    Remove architectures without evidence at the required rating before comparing other benefits.

  3. 03
    Compare engineering evidence

    Evaluate dielectric, interruption, thermal, climate, footprint, handling, maturity and supply positions.

  4. 04
    Evaluate lifecycle and regulation

    Inspect direct gas impact, material boundaries, recovery, gas class and the applicable regulatory context.

  5. 05
    Plan validation

    Convert open gaps into simulations, type tests, handling controls, pilot monitoring and fleet acceptance gates.

Demonstration scenario

For a 145 kV indoor urban GIS, architectures without rating evidence are excluded first. The remaining clean-air vacuum, natural-origin-gas, fluoronitrile, hybrid and SF6 positions are compared across technical evidence, footprint, lifecycle impact and regulation. The result is a validation shortlist, not a procurement decision.

Engineering

Tools and method

Tools
The project uses Python 3.12, NumPy, pandas, Matplotlib for subject analysis, simulation, and results.
Declared inputs
Python data structures retain every technology, application, regulation, evidence position and interpretation boundary.
Deterministic analysis
NumPy and pandas generate all 1,120 cases, enforce hard rating boundaries and retain complete CSV evidence.
Lifecycle calculation
An explicit equation separates gas emissions from bounded enclosure, operation, maintenance and end-of-life positions.
Uncertainty
Twenty thousand fixed-seed draws per technology and one-factor sensitivity expose robust and fragile conclusions.
Evidence and delivery
JSON, CSV, PNG, PDF and editable Word files retain the model, references, results, figures and report.

Testing

Evaluation

Evaluation measures

  • Voltage applicability and evidence-gate outcome for every architecture and application
  • Composite transition score across four regulatory contexts and four evidence positions
  • Forty-year reference-bay lifecycle climate position
  • Type-test evidence gaps and highest lifecycle FMEA priorities
  • P05, median and P95 uncertainty by applicable technology
  • Sensitivity to each of twelve engineering evidence dimensions
  • Exact reproduction of 1,120 retained cases in a clean Linux container

Project boundaries

  • All numerical scores are literature-informed engineering positions and not certified equipment measurements.
  • Declared maximum voltages are model evidence gates and not nameplate or product-availability claims.
  • The lifecycle calculation is a transparent reference position and not a verified product carbon footprint.
  • The regulatory crosswalk is not legal advice and does not decide a tender derogation.
  • The study does not endorse a manufacturer or establish standards conformity.
  • A real project requires controlled standards, current legal review, manufacturer evidence, accredited tests, utility data and qualified engineering approval.

Included

  1. 01Complete Python source and declared study configuration
  2. 021,120 factorial technology, application, regime and evidence cases
  3. 03Ten switchgear technologies and seven voltage applications from 24 kV to 550 kV
  4. 04Twelve-requirement type-test crosswalk and 132-cell lifecycle FMEA
  5. 05Twelve generated figures and one attributed literature figure
  6. 0670-page project report in PDF and editable Word formats
  7. 0715-page project and defence guide in PDF and editable Word formats
  8. 08Fifty annotated references with evidence boundaries
  9. 09Automated tests, dependency audit, repository validation and Docker reproduction

Project record

No information is collected on this page.

Permanent project ID
GP-EE-0PDGAHT
Catalogued
21 Aug 2026
Completed
30 Aug 2026
Verified
30 Aug 2026
Demonstration
Included in repository

Handover

After purchase

  1. 01
    Payment is confirmed

    The project is marked unavailable and cannot be purchased again.

  2. 02
    Repository access is granted

    The buyer's submitted GitHub account receives access to the private repository.

  3. 03
    The purchase record is delivered

    The certification sheet is prepared from the reviewed buyer details and sent privately by email.