Techno-Economic Assessment of Green Hydrogen Production: Research Methodology and Simulation Guide

Topic scope and research objective

A suitable research question is: how can the Hydrogen & Electrolyzers approach represented by “Techno-Economic Assessment of Green Hydrogen Production” be evaluated using MATLAB Simulink so that renewable-energy fraction and grid / diesel energy contribution are improved or maintained without creating unacceptable degradation in BESS throughput and SOC compliance?

This article approaches Techno-Economic Assessment of Green Hydrogen Production from a methodology perspective so the page answers a different research need rather than repeating the main project description.

Technical focus

• Techno-Economic
• Assessment
• Green
• Hydrogen

Model architecture and implementation plan

The workflow should remain modular enough to support baseline comparison, sensitivity testing and parameter revision.

• Renewable / grid network
• PEM electrolyzer electrical-load model
• Power / current control and operating constraints
• Hydrogen-production calculation
• Frequency / active-power support logic
• Power, frequency, energy and hydrogen result logging

Recommended methodology

1. Define electrolyzer rating, efficiency and operating limits. Relate the step to the Hydrogen & Electrolyzers objective and record the relevant parameters.
2. Establish the renewable / network operating point. Relate the step to the Hydrogen & Electrolyzers objective and record the relevant parameters.
3. Apply renewable variation or frequency disturbances. Relate the step to the Hydrogen & Electrolyzers objective and record the relevant parameters.
4. Modulate electrolyzer power within ramp and minimum-load constraints. Relate the step to the Hydrogen & Electrolyzers objective and record the relevant parameters.
5. Compare grid-support improvement against hydrogen-production and energy-use impacts. Relate the step to the Hydrogen & Electrolyzers objective and record the relevant parameters.

Study cases for comparative research

• normal campus-day load profile
• high-renewable / low-load period
• peak-demand period with BESS dispatch
• islanded or grid-outage case with diesel backup
• seasonal / tariff / resource sensitivity case

Outputs and quantitative validation

The recommended validation evidence includes renewable-energy fraction, grid / diesel energy contribution, BESS throughput and SOC compliance, voltage-quality compliance. A defensible result section should report both waveform or field behaviour and numerical metrics, with the baseline and proposed cases evaluated under the same conditions. The final discussion should also explain sensitivity to peak-demand period with BESS dispatch, islanded or grid-outage case with diesel backup.

• Electrolyzer active power
• System frequency / RoCoF
• Hydrogen-production rate
• Energy consumption / efficiency
• Grid-support versus production trade-off

PhD and journal research extensions

• multi-objective sizing of PV, wind and BESS with reliability constraints
• degradation-aware storage dispatch in lifecycle economics
• resilience valuation under grid outages
• scenario-based uncertainty analysis for load, tariffs and renewable resource

For PhD researchers and postgraduate scholars working internationally, this topic can be adapted to a university proposal, published reference paper or independently defined research gap. The model scope can be aligned with the required software version, parameter set, dataset, disturbance profile, geometry, controller structure and reporting format while preserving reproducibility and clear technical attribution.

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