A Two-Stage ORC Integration to an Existing Fluidized Bed Sewage Sludge Incineration Plant for Power Production in the Scope of Waste-to-Energy

Aysegül Abusoglu, Alperen Tozlu, Amjad Anvari-Moghaddam

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)
47 Downloads (Pure)

Abstract

This paper presents the design, evaluation, and optimization of an electricity generation system based on the two-stage organic Rankine cycle (TS-ORC), which utilizes the waste heat of an existing fluidized bed sewage sludge incineration (FBSSI) facility. The facility incinerates an average of 300 tons per day of sewage sludge with a dry matter content of 22%. After the drying process, the sewage sludge is burned in a fluidized bed combustor, and exhaust gas at a temperature of about 850-900ºC is released due to the combustion. The system provides the energy required to dry the sludge from this exhaust gas. In this study, a TS-ORC is designed to be coupled to the exhaust gas flowlines discharged to the atmosphere at two different points in the FBSSI plant. The exergy efficiency of the FBSSI facility is found to be 70.5%. Three different working fluids are selected to examine the variations of thermodynamic and thermoeconomic performance parameters of the designed TS-ORC system. The highest power generation in the TS-ORC system (183.40 kW) is achieved using R1234yf as working fluid. R1234yf is also the most expensive fluid for electricity generation among the other working fluids (10.57 $/h). The least electricity generation in the TS-ORC (142.70 kW) occurs at the thermoeconomically most affordable cost with R245fa (9.35 $/h).
Original languageEnglish
JournalInternational Journal of Thermodynamics
Volume25
Issue number1
Pages (from-to)109-121
Number of pages13
ISSN1301-9724
DOIs
Publication statusPublished - 2022

Keywords

  • Fluidized bed sewage sludge incineration
  • Multi-Objective Optimization
  • ORC
  • Thermodynamic
  • Thermoeconomy
  • Waste to energy
  • thermodynamic
  • thermoeconomy
  • waste to energy
  • multi-objective optimization

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