Analysis for integrated energy system: Benchmarking methods and implementation

Suhan Zhang, Wei Gu*, Xiao-Ping Zhang, C. Y. Chung, Ruizhi Yu, Shuai Lu, Rodrigo Palma‐Behnke

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

The selection of suitable models and solutions is a fundamental requirement for conducting energy flow analysis in integrated energy systems (IES). However, this task is challenging due to the vast number of existing models and solutions, making it difficult to comprehensively compare scholars' studies with current work. In this paper, we aim to address this issue by presenting a comprehensive overview of mainstream IES models and clarifying their relationships, thereby providing guidance for scholars in selecting appropriate models. Additionally, we introduce several widely used solvers for solving algebraic and differential equations, along with their detailed implementations in the energy flow analysis of IES. Furthermore, we conduct extensive testing and demonstration of these models and methods in various cases to establish benchmarking datasets. To facilitate reproducibility, verification and comparisons, we provide open‐source access to these datasets, including system data, analysis settings and implementations of the various solvers in the mainstream models. Scholars can utilise the provided datasets to reproduce the results, verify the findings and perform comparative analyses. Moreover, they have the flexibility to customise these settings according to their specific requirements.
Original languageEnglish
Article numbere12002
Number of pages18
JournalEnergy Internet
Early online date14 Aug 2024
DOIs
Publication statusE-pub ahead of print - 14 Aug 2024

Keywords

  • open‐source data
  • energy flow analysis
  • benchmarking method
  • mainstream model
  • integrated energy system

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