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Investment risk for biomass integrated gasification combined heat and power unit with an internal combustion engine and a Stirling engine

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  • Bartela, Łukasz
  • Kotowicz, Janusz
  • Dubiel-Jurgaś, Klaudia

Abstract

In paper, the results of an analysis of the integration of a Stirling engine with a Biomass Integrated Gasification Combined Heat and Power system have been presented. The analyses were conducted for two systems: with and without Stirling engine. The priority for the power system is the utilization of waste biomass. In addition, the system produces electricity and heat for the municipal district heating network. The Stirling engine uses the high-temperature potential of the raw process gas. The use of an additional engine in the cogeneration system permitted an increase in the electricity production. Calculations were carried out for different degrees of gas cooling in the Stirling engine. The basic energy flows in the system, and the thermodynamic assessment indicators were determined. In the next step, the calculations were carried out to obtain the economic evaluation indices. The risk analysis was conducted using the Monte Carlo method. The main technical and economic risk factors concerning the implementation of the cogeneration technology were then identified. On the basis of the determined cumulative probability curves used for obtaining the specified values of the Net Present Value Ratio, the values of the defined indices of the investment risk assessment could then be obtained.

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  • Bartela, Łukasz & Kotowicz, Janusz & Dubiel-Jurgaś, Klaudia, 2018. "Investment risk for biomass integrated gasification combined heat and power unit with an internal combustion engine and a Stirling engine," Energy, Elsevier, vol. 150(C), pages 601-616.
  • Handle: RePEc:eee:energy:v:150:y:2018:i:c:p:601-616
    DOI: 10.1016/j.energy.2018.02.152
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    6. Dovichi Filho, Fernando Bruno & Lora, Electo Eduardo Silva & Palacio, Jose Carlos Escobar & Venturini, Osvaldo José & Jaén, René Lesme, 2023. "An approach to technology selection in bioelectricity technical potential assessment: A Brazilian case study," Energy, Elsevier, vol. 272(C).

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