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<p>Air pollution from power plants remains an environmental concern. This study applies the Gaussian plume dispersion model to quantitatively assess the dispersion characteristics of nitrogen oxides (NOₓ) and carbon dioxide (CO₂) emitted from a gas turbine power plant located in Sarir, Libya. The analysis considers NOₓ as a primary air pollutant affecting local air quality, whereas CO₂ is evaluated as a significant greenhouse gas contributing to global warming and climate change. The thermodynamic properties of the gas turbine cycle were calculated using Hyprotech System Software (Aspen HYSYS), yielding a net power output of 285&#xa0;MW, a heat supply rate of 726.3&#xa0;MW, and a thermal efficiency of 39.24%. Atmospheric stability in this study is classified using the modified Pasquill method, which incorporates wind speed, instantaneous solar radiation, and total cloud cover specific to the gas turbine plant site. Simulation results indicate a NOₓ emission rate of 9.4127&#xa0;kg/s and a CO₂ emission rate of 40.8788&#xa0;kg/s. The ground-level concentration of NOₓ exceeded the permissible limits set by the U.S. Environmental Protection Agency (EPA), indicating potential air quality concerns in the vicinity of the emission source, while CO₂ emissions remained within acceptable limits. Meteorological data, including seasonal wind speeds, were used to estimate the effective stack height and dispersion behavior. The dispersion of NOₓ in the air was modeled for different seasons. The results show that NOₓ concentration increases near the stack, peaking around 1.0&#xa0;km in the downwind direction, and declines as the plume travels farther. Safe air quality levels for NOₓ (based on both hourly and yearly standards) are generally reached at distances beyond 12&#xa0;km. Seasonal variations also influence pollutant dispersion, with higher concentrations observed in the summer due to weaker winds and reduced atmospheric mixing. This study supports the development of emission control strategies and highlights the need for further air quality assessments in Libya.</p>

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Pollution Dispersion from a Gas Turbine Power Plant using Gaussian Plume Model

  • 期刊论文

  • 发表日期：

    2026年1月12日

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  • Ammar Omar Gwesha,
  • Giuma M. Fellah

摘要

Air pollution from power plants remains an environmental concern. This study applies the Gaussian plume dispersion model to quantitatively assess the dispersion characteristics of nitrogen oxides (NOₓ) and carbon dioxide (CO₂) emitted from a gas turbine power plant located in Sarir, Libya. The analysis considers NOₓ as a primary air pollutant affecting local air quality, whereas CO₂ is evaluated as a significant greenhouse gas contributing to global warming and climate change. The thermodynamic properties of the gas turbine cycle were calculated using Hyprotech System Software (Aspen HYSYS), yielding a net power output of 285 MW, a heat supply rate of 726.3 MW, and a thermal efficiency of 39.24%. Atmospheric stability in this study is classified using the modified Pasquill method, which incorporates wind speed, instantaneous solar radiation, and total cloud cover specific to the gas turbine plant site. Simulation results indicate a NOₓ emission rate of 9.4127 kg/s and a CO₂ emission rate of 40.8788 kg/s. The ground-level concentration of NOₓ exceeded the permissible limits set by the U.S. Environmental Protection Agency (EPA), indicating potential air quality concerns in the vicinity of the emission source, while CO₂ emissions remained within acceptable limits. Meteorological data, including seasonal wind speeds, were used to estimate the effective stack height and dispersion behavior. The dispersion of NOₓ in the air was modeled for different seasons. The results show that NOₓ concentration increases near the stack, peaking around 1.0 km in the downwind direction, and declines as the plume travels farther. Safe air quality levels for NOₓ (based on both hourly and yearly standards) are generally reached at distances beyond 12 km. Seasonal variations also influence pollutant dispersion, with higher concentrations observed in the summer due to weaker winds and reduced atmospheric mixing. This study supports the development of emission control strategies and highlights the need for further air quality assessments in Libya.