Integrated Energy System Design Aided by Multiagent Modeling of the System Based on Its Digital Twin
Integrated energy systems (IESs) that combine electricity, heating, cooling, and gas supply systems are a promising technology for building modern energy systems. Designing such systems is a complex task due to the uniqueness of their configurations, multiple decision makers and hence the need for decision alignment, as well as numerous facilities exhibiting complex behaviors. Multiagent modeling is an approach that has proved to be effective in handling the complexity of IES design. This paper implements an algorithm for the method of successive improvement of the solution. It solves design problems on a multiagent model and solves an array of analytically tractable problems on a digital twin. We treat the digital twin of an IES as a versatile model synchronized with the physical IES. This algorithm underpins our methodological framework, which is implemented as part of a unified software platform. The framework is intended to address the issue of updating the multiagent model so that it matches the changing configuration of the digital twin. Building a multiagent system for large and complex systems such as the IES is time-consuming and warrants the use of automating techniques. The paper proposes an original solution to the automation of multiagent modeling based on the digital twin of the IES. We report simulation results that were obtained with the use of the framework detailed in this study. Based on the results of digital twin simulations, we state design recommendations on how to build the investigated IES. © 2026 American Society of Civil Engineers.
Библиографическая ссылка Barakhtenko E.A., Sokolov D.V., Maiorov G.S. Integrated Energy System Design Aided by Multiagent Modeling of the System Based on Its Digital Twin // Journal of Energy Engineering. Vol.152. No.5. ID:04026073. 2026. DOI: 10.1061/JLEED9.EYENG-6469
Скопировать
Проиндексировано: WOS
SCOPUS
