The Future of Intelligent Building Energy Systems: An AI-Assisted Solar–Hydrogen Concept

Abstract This paper presents the conceptual framework of the VIS (Vennes Integrated System), an AI-assisted integrated solar–hydrogen energy system designed to improve the energy resilience and sustainability of autonomous buildings. The proposed architecture combines photovoltaic power generation, battery energy storage, hydrogen production through electrolysis, hydrogen storage, and fuel cell technology into a unified intelligent energy management system. The VIS concept explores how artificial intelligence and digital twin technologies can optimize energy production, storage, and consumption while increasing system reliability and reducing dependence on external energy infrastructure. In addition, the proposed architecture considers the integration of water recovery, emergency backup power, waste heat utilization, and modular deployment for applications such as hospitals, research facilities, data centers, industrial facilities, remote communities, and disaster response units. This publication presents the VIS as a conceptual engineering proposal intended to stimulate interdisciplinary collaboration among engineers, researchers, software developers, and industry partners. It is not intended as a finalized engineering design but as a foundation for future research, simulation, optimization, and practical development.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-03
DOI
https://doi.org/10.5281/zenodo.21772416
Primary Topic
Hybrid Renewable Energy Systems
Type
article
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article

The Future of Intelligent Building Energy Systems: An AI-Assisted Solar–Hydrogen Concept

George Vennes
Zenodo (CERN European Organization for Nuclear Research)
Hybrid Renewable Energy Systems
article

The Future of Intelligent Building Energy Systems: An AI-Assisted Solar–Hydrogen Concept

George Vennes
article en

Abstract

Abstract This paper presents the conceptual framework of the VIS (Vennes Integrated System), an AI-assisted integrated solar–hydrogen energy system designed to improve the energy resilience and sustainability of autonomous buildings. The proposed architecture combines photovoltaic power generation, battery energy storage, hydrogen production through electrolysis, hydrogen storage, and fuel cell technology into a unified intelligent energy management system. The VIS concept explores how artificial intelligence and digital twin technologies can optimize energy production, storage, and consumption while increasing system reliability and reducing dependence on external energy infrastructure. In addition, the proposed architecture considers the integration of water recovery, emergency backup power, waste heat utilization, and modular deployment for applications such as hospitals, research facilities, data centers, industrial facilities, remote communities, and disaster response units. This publication presents the VIS as a conceptual engineering proposal intended to stimulate interdisciplinary collaboration among engineers, researchers, software developers, and industry partners. It is not intended as a finalized engineering design but as a foundation for future research, simulation, optimization, and practical development.

Zenodo (CERN European Organization for Nuclear Research)
AC Diagnostics (United States) (US)
Openalex Percentile: Top 22%
Hybrid Renewable Energy Systems
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