Sensitivity analysis and dynamic modelling of the reinjection process in a binary cycle geothermal power plant of Larderello area

Pouriya H. Niknam, Lorenzo Talluri, Daniele Fiaschi, Giampaolo Manfrida

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
32 Downloads (Pure)

Abstract

The surface equipment design for a binary cycle geothermal power plant including facilities required for the power cycle and the complete reinjection process of two-phase geothermal fluid (H2O + non-condensable gases (NCGs)) in the Castelnuovo area of Larderello are modelled. The proposed scheme includes the configuration of closed-loop power plant, NCGs compression train and reinjection process at the wellhead. Steady-state and dynamic simulations are performed. The steady-state model is developed to find the correct operating solutions and conditions, while the dynamic model investigates the unsteady behaviour of the system. The study includes a sensitivity analysis of surface equipment design, demonstrating the effect of internal and external variables on the system performance, including power cycle, compression train and reinjection process. The maximum compressor power consumption (at 60 bar reinjection pressure) is 176 kW at 8% CO2 mass fraction into the geothermal fluid. The unsteady system behaviour at startup and its response to step-changes of flow stream condition is assessed: it is found that the average response-time is about 20 min. Also, the system requires a drain pressure higher than the saturation level for effective reinjection. A new Antoine – based correlation for water-CO2 mixture is proposed for geothermal applications.

Original languageEnglish
Article number118869
JournalEnergy
Volume214
Early online date18 Sep 2020
DOIs
Publication statusPublished - 1 Jan 2021

Keywords

  • Binary cycle
  • Dynamic simulation
  • Geothermal fluid
  • Geothermal power plant
  • Total reinjection
  • Water-CO mixture

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Pollution
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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