A review on multi energy systems modelling and optimization

Over the past decade, energy systems for the combined management of power vectors have been attracted the attention of the scientific community. Most of the published works aim at finding optimal design and operations of Multi Energy Systems (MES). In these works, the basic structure and assumptions of the formulation are often taken for granted. Consequently, approaching MESs for the first time, understanding how to guarantee the desired optimization detail with proper computational expenses, is a challenging and time-consuming task. The present work presents a novel approach to the analysis of the MES literature, since it is devoted to guide a practical development of MES optimization. Through the discussion of six case studies, the mathematical formulation is presented to provide a clear reference to build the model. Emphasis is placed on how the aspects investigated can change the nature of the problem and the choice of the solvers for the process execution. For each of these aspects, a literature review to identify and discuss the main proposals for its implementation is presented. Finally, a great attention is posed on the inclusion of thermal networks and storage in the optimization of multi-energy systems, discussing the different approaches used in the literature.

Automated summary

In the past decade, there has been a growing interest in studying energy systems for the combined management of power vectors. Most of the published works focus on finding the optimal design and operations of Multi Energy Systems (MES). However, for newcomers to this field, understanding how to achieve the desired optimization details while controlling computational expenses can be challenging and time-consuming. This paper presents a novel approach to analyzing the existing literature on MES, with the aim of guiding practical development of MES optimization. Through the discussion of six case studies, the authors provide a mathematical formulation as a reference for building the model and emphasize the impact of different aspects on the problem nature and solver selection. In addition, the paper also discusses the different approaches used in the literature for incorporating thermal networks and storage in the optimization of multi-energy systems.