Integrated Modeling and Optimal Operation of Multi-Energy System for Coastal Community

Yang Chen, Jun Chen, Chenang Liu, Guodong Liu, Maximiliano Ferrari, Aditya Sundararajan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Focusing on remote, isolated, and underserved communities, a multi-energy system is designed in this research which is capable of utilizing different energy sources in a more coordinated and energy-efficient way to support various demands, such as fresh water, electricity, hydrogen, thermal demand, etc. The energy sources considered are renewables (wind, solar, marine) and natural gas. The energy conversion process includes water desalination, gas combustion, water electrolyzation, and different types of storage (hydrogen tank, electricity, thermal, etc.) are designed to serve as buffers in supply-demand balancing. Sets of experiments are designed to demonstrate the effectiveness of the proposed operating model and investigate the impact of uncertainties from renewable generations and demands.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Electro Information Technology, eIT 2023
PublisherIEEE Computer Society
Pages211-216
Number of pages6
ISBN (Electronic)9781665493765
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Electro Information Technology, eIT 2023 - Romeoville, United States
Duration: May 18 2023May 20 2023

Publication series

NameIEEE International Conference on Electro Information Technology
Volume2023-May
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Conference

Conference2023 IEEE International Conference on Electro Information Technology, eIT 2023
Country/TerritoryUnited States
CityRomeoville
Period05/18/2305/20/23

Keywords

  • Coastal Ccommunity
  • Hydrogen Economy
  • Multi-Energy Systems
  • Water Desalination

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