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Scaling Analysis in a Multi-Energy System

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

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.

Scaling Analysis in a Multi-Energy System

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.

Paper Structure

This paper contains 15 sections, 9 figures, 1 table.

Table of Contents

  1. Introduction
  2. Context
  3. Contribution
  4. Outline of the paper
  5. Multi-energy system description
  6. Multi-energy networks benchmark
  7. Multi-energy control system
  8. Methodologies for analysis
  9. Toolbox for Analysis
  10. Interactions between the two domains
  11. Tank size scaling problem analysis
  12. Simulation results and discussion
  13. Analysis of Inter-domain Causality and Sensitivity
  14. Tank size scaling problem analysis
  15. Conclusion and Outlook

Figures (9)

  • Figure 1: Multi-energy benchmark b3.
  • Figure 2: Control algorithm for the multi-energy benchmark b4.
  • Figure 3: Flowchart of the proposed toolbox for the scaling sensitivity analysis jra_1_2.
  • Figure 4: One (factor)-at-a-Time (OAT) analysis for target metric average Coefficient of Performance (COP) of the heat pump.
  • Figure 5: Ranking of the impact of factors over all target metrics.
  • ...and 4 more figures