Applied Chemical Engineering

Process-Integrated Hydrogen Energy Storage, Carbon Capture, and PEV Coordination in Renewable-Assisted Power Systems: A Chemical Engineering Optimization Perspective

Abhilasha Pawar

Department of Electrical Engineering, JSS Academy of Technical Education, Noida, 201301, India

Y V Krishna Reddy

Department of EEE, SV College of Engineering, Tirupati, 517501, India

Víctor Daniel Jiménez Macedo

Mechanical Engineer Faculty, Michoacan University of Saint Nicholas of Hidalgo, 78557, Hidalgo

Lizina Khatua

School of Electronics Engineering, Kalinga Institute of Industrial Technology(KIIT) Deemed to be University, Bhubaneswar, Odisha, 751024, India

Feroz Shaik

Department of Mechanical Engineering, Prince Mohammad Bin Fahd University, Alkhobar, 34411, Kingdom of Saudi Arabia

Subhasis Datta

Dr. B. C. Roy Engineering College, Durgapur, West Bengal, 713206, India

Kamalika Tiwari

Dr. B. C. Roy Engineering College, Durgapur, West Bengal, 713206, India

C. KARNAN

Dapartment of Mathmatics, K. Ramakrishnan College of Engineering, Samayapuram, Trichy,621112, India

DOI: https://doi.org/10.59429/ace.v9i2.5970

Keywords: Hydrogen energy storage, Carbon capture and storage, Process-integrated energy systems, Plug-in electric vehicles, Multi-objective optimization, Renewable-assisted power systems

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Abstract

This study presents a process-integrated framework for hydrogen energy storage and post-combustion carbon capture within renewable-assisted power systems, explicitly incorporating plug-in electric vehicle (PEV) interactions. In contrast to conventional economic load dispatch (ELD) formulations that treat hydrogen and carbon capture as simplified energy components, the proposed approach adopts a process-oriented representation of electrolyzer-based hydrogen production, fuel cell energy conversion, and amine-based CO₂ absorption. The framework captures the coupling between electrical energy flows and chemical processes through energy–mass balance relationships and efficiency constraints. PEVs are modelled as flexible electrochemical storage systems with bidirectional vehicle-to-grid (V2G) capability, enabling dynamic interaction with system demand. The integrated model is formulated as a multi-objective optimization problem, considering operating cost and emission reduction, and is solved using the Zebra Optimization Algorithm (ZOA). The framework is evaluated on a standard ten-unit test system under multiple operational scenarios. Results indicate that renewable and PEV integration reduces emissions by 19% and operating cost by 10%. The inclusion of hydrogen energy storage and 90% efficient carbon capture achieves approximately 80% emission reduction with a moderate increase in cost. These findings highlight the significance of incorporating process-level chemical engineering principles into power system optimization, demonstrating that coordinated hydrogen production, utilization, and carbon capture can substantially enhance decarbonization performance while maintaining system feasibility.

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