Improved Solubility Model for Pure Gas and Binary Mixture of CO<sub>2</sub>-H<sub>2</sub>S in Water: A Geothermal Case Study with Total Reinjection

Geothermal energy is acknowledged globally as a renewable resource, which, unlike solar, wind or wave energy, can be continuously exploited. The geothermal fluids usually have some acid gas content, which needs to be precisely taken into account when predicting the actual potential of a power plant...

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Main Authors: Pouriya H. Niknam, Lorenzo Talluri, Daniele Fiaschi, Giampaolo Manfrida
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/11/2883
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author Pouriya H. Niknam
Lorenzo Talluri
Daniele Fiaschi
Giampaolo Manfrida
author_facet Pouriya H. Niknam
Lorenzo Talluri
Daniele Fiaschi
Giampaolo Manfrida
author_sort Pouriya H. Niknam
collection DOAJ
description Geothermal energy is acknowledged globally as a renewable resource, which, unlike solar, wind or wave energy, can be continuously exploited. The geothermal fluids usually have some acid gas content, which needs to be precisely taken into account when predicting the actual potential of a power plant in dealing with an effective reinjection. One of the key parameters to assess is the solubility of the acid gas, as it influences the thermodynamic conditions (saturation pressure and temperature) of the fluid. Therefore, an enhanced solubility model for the CO<sub>2</sub>-H<sub>2</sub>S-water system is developed in this study, based on the mutual solubility of gases. The model covers a wide range of pressures and temperatures. The genetic algorithm is employed to calculate the correlation constants and corresponding solubility values of both CO<sub>2</sub> and H<sub>2</sub>S as functions of pressure, temperature and the balance of the gas. The results are validated against previously published models and experimental data available in the literature. The proposed model estimates the pure gas solubility, which is also a feature of other models. The more innovative feature of the model is the solubility estimation of each CO<sub>2</sub> or H<sub>2</sub>S in simultaneous presence, such as when the binary gas is injected into the pure water of the geothermal reinjection well. The proposed solubility model fits well with the available experimental data, with a mean deviation lower than 0.2%.
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spelling doaj.art-68d28f8d86dc409f90fc59d70a560aef2023-11-20T02:54:32ZengMDPI AGEnergies1996-10732020-06-011311288310.3390/en13112883Improved Solubility Model for Pure Gas and Binary Mixture of CO<sub>2</sub>-H<sub>2</sub>S in Water: A Geothermal Case Study with Total ReinjectionPouriya H. Niknam0Lorenzo Talluri1Daniele Fiaschi2Giampaolo Manfrida3Department of Industrial Engineering, Università degli Studi di Firenze, Viale Morgagni 40, 50135 Florence, ItalyDepartment of Industrial Engineering, Università degli Studi di Firenze, Viale Morgagni 40, 50135 Florence, ItalyDepartment of Industrial Engineering, Università degli Studi di Firenze, Viale Morgagni 40, 50135 Florence, ItalyDepartment of Industrial Engineering, Università degli Studi di Firenze, Viale Morgagni 40, 50135 Florence, ItalyGeothermal energy is acknowledged globally as a renewable resource, which, unlike solar, wind or wave energy, can be continuously exploited. The geothermal fluids usually have some acid gas content, which needs to be precisely taken into account when predicting the actual potential of a power plant in dealing with an effective reinjection. One of the key parameters to assess is the solubility of the acid gas, as it influences the thermodynamic conditions (saturation pressure and temperature) of the fluid. Therefore, an enhanced solubility model for the CO<sub>2</sub>-H<sub>2</sub>S-water system is developed in this study, based on the mutual solubility of gases. The model covers a wide range of pressures and temperatures. The genetic algorithm is employed to calculate the correlation constants and corresponding solubility values of both CO<sub>2</sub> and H<sub>2</sub>S as functions of pressure, temperature and the balance of the gas. The results are validated against previously published models and experimental data available in the literature. The proposed model estimates the pure gas solubility, which is also a feature of other models. The more innovative feature of the model is the solubility estimation of each CO<sub>2</sub> or H<sub>2</sub>S in simultaneous presence, such as when the binary gas is injected into the pure water of the geothermal reinjection well. The proposed solubility model fits well with the available experimental data, with a mean deviation lower than 0.2%.https://www.mdpi.com/1996-1073/13/11/2883solubilitygeothermal fluidsNCG reinjectionacid gas
spellingShingle Pouriya H. Niknam
Lorenzo Talluri
Daniele Fiaschi
Giampaolo Manfrida
Improved Solubility Model for Pure Gas and Binary Mixture of CO<sub>2</sub>-H<sub>2</sub>S in Water: A Geothermal Case Study with Total Reinjection
Energies
solubility
geothermal fluids
NCG reinjection
acid gas
title Improved Solubility Model for Pure Gas and Binary Mixture of CO<sub>2</sub>-H<sub>2</sub>S in Water: A Geothermal Case Study with Total Reinjection
title_full Improved Solubility Model for Pure Gas and Binary Mixture of CO<sub>2</sub>-H<sub>2</sub>S in Water: A Geothermal Case Study with Total Reinjection
title_fullStr Improved Solubility Model for Pure Gas and Binary Mixture of CO<sub>2</sub>-H<sub>2</sub>S in Water: A Geothermal Case Study with Total Reinjection
title_full_unstemmed Improved Solubility Model for Pure Gas and Binary Mixture of CO<sub>2</sub>-H<sub>2</sub>S in Water: A Geothermal Case Study with Total Reinjection
title_short Improved Solubility Model for Pure Gas and Binary Mixture of CO<sub>2</sub>-H<sub>2</sub>S in Water: A Geothermal Case Study with Total Reinjection
title_sort improved solubility model for pure gas and binary mixture of co sub 2 sub h sub 2 sub s in water a geothermal case study with total reinjection
topic solubility
geothermal fluids
NCG reinjection
acid gas
url https://www.mdpi.com/1996-1073/13/11/2883
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