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4E analysis and optimization of a biomass-fired waste-to-energy plant integrated with a compressed air energy storage system for the multi-generation purpose

  • Tao Hai
  • , Mohammad Zoghi
  • , Kourosh Javaherdeh
  • Qiannan Normal College for Nationalities
  • Nanchang Institute of Science and Technology
  • Universiti Teknologi MARA
  • Guilan University

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

A novel multi-generation system is introduced based on the combination of biomass gasifier-fired steam Rankine cycle (SRC) and compressed air energy storage (CAES) system. The output power of SRC feeds the compressor and electric heater of the CAES system. A domestic hot water heat exchanger and an absorption chiller are used to waste heat utilization of gasifier-SRC and a trilateral cycle (TLC) is utilized to waste energy recovery of the CAES system. Then, the output power of TLC is sent to a proton exchange membrane electrolyzer for the production of hydrogen. Hence, the considered system is converted to a power, heating, cooling, and hydrogen multi-generation system. Energy, exergy, exergy-economic and environmental studies are done on the layout in a base case, parametric analysis, and design optimization. The three-objective optimization results in the exergy round trip efficiency (ERTE), total cost rate, and unit cost of multi-generation of 41.205%, 708.136 $/h, and 17.206 $/GJ. The improvement of ERTE (30.23%) is the most visible one in comparison to the base case outputs.

Original languageEnglish
Article number128457
JournalFuel
Volume348
DOIs
StatePublished - 15 Sep 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • 4E study
  • Biomass
  • Compressed air energy storage
  • Multi-generation
  • Optimization
  • Waste heat recovery

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