Review of multi-vectored energy hubs: Concept, architecture, management strategies, and research directions

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Authors: Shubham Kumar Tiwari, Hamid Karimi, Ankit Garg, Milad Rahimipour Behbahani, Sidharath Joshi, Jai Govind Singh, Fabian Schipfer, Florian Kraxner
Cited by: 1
References: 215

Abstract

The growing complexity and sectoral interdependence of modern energy systems necessitate transitioning from single-vector operation to an integrated multi-vectored and networked framework. Multi-Vectored Energy Hubs (MVEHs) and their networked extensions (MV-NEHs) present a promising solution for co-optimizing various energy vectors such as electricity, gas, heat, hydrogen, water and other carriers under an integrated structure. The coordinated approach enhances system efficiency, flexibility, and resilience while facilitating efficient renewable energy utilization and reducing emissions. This paper systematically reviews the concept, architecture and management strategies of MVEHs, with a strong emphasis on their operational interaction with power systems under IEEE and other benchmark test cases. The role of game-theoretic, cooperative, and transactive energy management mechanisms in improving networked architectures is explored, alongside advances in flexible technologies such as demand response and Power-to-X for achieving low-emission energy systems. A detailed comparison of test systems, objectives, constraints, solver platforms, and coupling configurations is provided, highlighting how network size and structure influence multi-vector integration. Combining insights from over 230 studies, the review underscores the need to develop benchmark frameworks for multi-energy integration within IEEE-based power systems that reflect operational constraints and enable realistic cross-vector coordination. This necessitates hybrid frameworks combining robust optimization, multi-layer governance, and distributed cooperative–competitive energy management schemes. Emphasis should be placed on aligning operational control and long-term planning across temporal hierarchies and energy vectors through System-of-Systems (SoS) approaches and real-time responsive architectures.

Fields of Study & Subjects

Integrated Energy Systems Optimization Hybrid Renewable Energy Systems Optimal Power Flow Distribution

Publication details

Journal / source
Energy Reports
Publisher
Elsevier BV
Volume
15
Pages
109105–109105
Publication date
5 February 2026
Language
EN