Work

Impact of Grid Carbon Intensity on the Multi-Objective Optimization of a PV–Battery–Hydrogen Hybrid Energy System

Year: 2026

Type: conference-paper

Abstract: This paper proposes a photovoltaic, battery, and hydrogen based hybrid energy system (HES) coordinated by a fuzzy logic based energy management system (FL-EMS) and optimized using a multi-objective NSGA-II algorithm. The objectives are to minimize annualized life cycle cost (ALCC), carbon emissions, and grid energy import index (EII). The impact of grid carbon intensity is assessed by comparing a low carbon French grid and a high carbon global grid.Results show that grid carbon intensity significantly affects optimal design and operation. Under the low carbon grid, storage provides limited emission benefits, while under the high carbon grid, the system achieves up to 71% reduction in CO2emissions compared to the grid-only case. The FL-EMS adapts energy dispatch to balance cost, emissions, and autonomy.The results highlight the trade-off between embodied and operational emissions and the strong dependence of optimal HES design on grid characteristics.

Source: International Conference on Control, Decision and Information Technologies (CoDIT)

DOI: 10.1109/codit70676.2026.11631143

Authors: Aqib Khan, Mathieu Bressel, Arnaud Davigny, Dhaker Abbes, Belkacem Ould Bouamama

Institutions: Université de Lille, Centre de Recherche en Informatique, Signal et Automatique de Lille, Arts et Métiers

Language: English

Topic: Hybrid Renewable Energy Systems

Subfield: Energy Engineering and Power Technology

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W7201857012

FWCI:

Cites: 13

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Related to: 10