Scaling Analysis in a Multi-Energy System

Jan Soeren Schwarz, Minh Cong Pham, Quoc Tuan Tran, Kai Heussen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper presents a scaling study on the planning phase of a multi-energy system (MES), which is becoming increasingly prominent in the energy sector. The research aims to investigate the interactions and challenges associated with integrating heat and electrical systems and scaling their components. In this context, interaction between these two domains are investigated and the size of the distributed energy resources in the MES is scaled to examine the impact of sizing on the integrating networks and their controlling system. To achieve this, the paper uses sensitivity analysis and a meta-modeling technique, both incorporated in a toolbox for scaling analysis. These methodologies are validated through simulations, and the results obtained from the simulations can contribute to the advancement of MESs and their implementation in laboratory and field testing.
Original languageEnglish
Title of host publicationProceedings of 2023 Asia Meeting on Environment and Electrical Engineering (EEE-AM)
Number of pages6
PublisherIEEE
Publication date2024
ISBN (Electronic)979-8-3503-8106-1
DOIs
Publication statusPublished - 2024
Event2023 IEEE Asia Meeting on Environment and Electrical Engineering - Hanoi, Viet Nam
Duration: 13 Nov 202315 Nov 2023

Conference

Conference2023 IEEE Asia Meeting on Environment and Electrical Engineering
Country/TerritoryViet Nam
CityHanoi
Period13/11/202315/11/2023

Keywords

  • Multi-energy system
  • Scaling analysis
  • Sensitivity analysis
  • Meta-modeling
  • Co-simulation

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