# Spatio-Temporal Life Cycle Analysis of Electrolytic H2 Production in Australia under Time-Varying CO2 Management Schemes

## TL;DR

This paper introduces a real-time, dynamic approach to electrolytic hydrogen production in Australia, optimizing for low-carbon electricity periods and economic incentives, supported by comprehensive life cycle assessment.

## Contribution

It presents a novel real-time, data-driven model for optimizing hydrogen production aligned with grid carbon intensity and costs, incorporating financial incentives and life cycle analysis.

## Key findings

- Dynamic operation reduces carbon footprint significantly.
- Financial incentives improve economic viability.
- Real-time data integration enhances accuracy of environmental impact assessment.

## Abstract

The transition to sustainable energy is critical for addressing global climate change. Hydrogen production, particularly via electrolysis, has emerged as a key solution, offering the potential for low-carbon energy across various sectors. This paper presents a novel approach to enhancing hydrogen production by aligning it with periods of low-carbon intensity on the electricity grid. Leveraging real-time data from the Electricity Mapping database and real-time electricity cost data from the AEMO database, the model dynamically adjusts hydrogen output to minimize both emissions and production costs. Furthermore, the integration of hydrogen tax credits significantly enhances cost-effectiveness, offering a viable pathway for widespread adoption. A comprehensive Life Cycle Assessment (LCA) framework is employed to assess the environmental impacts, emphasizing the need for real-time data incorporation to more accurately reflect hydrogen production's carbon footprint. The study concludes that dynamic, real-time operation, coupled with financial incentives, provides a promising method to enhance the sustainability and economic viability of hydrogen production.