4E analysis and tri-dimensional optimization of a hybrid energy system based on biogas from the digester and high-efficiency fuel cell: An attempt to reach sustainability with decreased emission and increased efficiency

  • Tao Hai
  • , Masood Ashraf Ali
  • , As'ad Alizadeh
  • , Kamal Sharma
  • , Hamad R. Almujibah
  • , Abdullah H. Alshahri
  • , Babak Farhang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Scientists and researchers have made numerous efforts to reduce global carbon emissions. One of the greatest methods to reach this goal is using renewable energies, especially benefiting from biomass, because of their higher efficiency and lower GHG emissions. In this regard, this paper represents a fuel cell based on biogas fuel, in which the city sludge is initially treated and then fed to a digester. The gas is cleaned and put into the fuel cell for power generation and heating. The system has superiority over other biogas-fed SOFC schemes over its better installment of subsystems. The system is analyzed from technical and environmental aspects, and parametric sensitivity is carried out. Also, cooling is generated from the waste heat to minimize the effects of environmental pollution. It is exhibited that fuel utilization factor, stack temperature, and gas composition seriously affect system performance. Finally, the optimization is conducted, and the best solution point is found with an effectiveness of 56.2%, emission of 0.021 kg/kWh, and a cost of 0.05472 $/kWh.

Original languageEnglish
Article number103189
JournalSustainable Energy Technologies and Assessments
Volume57
DOIs
StatePublished - Jun 2023

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 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Biogas fed SOFC
  • Environmental analysis
  • Sustainability
  • Tri criteria optimization
  • Waste heat recovery

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