The Effect of Atmospheric Stability (Pasquil Stability) on the Distribution Radius and Concentration of CO2 Using Phast 8.22 Modeling from Oil and Gas Processing Facilities in Central Java

Penulis

  • Zulhaman Oktareno Universitas Sahid, Jakarta
  • Edison C. Sembiring Universitas Sahid Jakarta
  • Soehatman Ramli Universitas Sahid Jakarta

DOI:

https://doi.org/10.55927/cjas.v4i1.122

Kata Kunci:

Quality Management System, Environment, Occupational Safety And Health (SMMK3L), Productivity, Implementation, Understanding.

Abstrak

The oil and gas industry sector is one of the largest contributors to CO₂ emissions, especially in oil and gas processing facilities. One of the locations of concern is the oil and gas processing facility in Central Java, which has produced and has the largest levels of CO₂ in Indonesia.  The effect of atmospheric stability (Pasquill stability) on the radius of distribution and concentration of CO₂ from oil and gas processing facilities in Central Java using PHAST 8.22 modeling. The study compared two operating conditions, normal venting and emergency venting, and examined variations in atmospheric stability (Pasquill categories A, B, and D) and wind speed against CO₂ dispersion. The results showed that emergency venting conditions produce a greater radius of CO₂ distribution than normal venting. At a concentration of 5000 ppm, the radius of CO₂ distribution reached 17.06 meters for normal venting and 21.29 meters for emergency venting under atmospheric stability category D with a wind speed of 6.25 m/s. Hot weather conditions (temperature 35°C and humidity 60%) tend to increase the dispersion of CO₂, while rainy conditions (temperature 23°C and humidity 98%) slightly reduce the dispersion. Atmospheric stability and wind speed have a significant effect on CO₂ dispersion, where more stable atmospheric conditions (Category D) result in a wider distribution radius. High concentrations of CO₂ (5000 ppm) at a spread radius of 21.29 meters have the potential to cause health impacts if exposed for a long time.

Referensi

Assegaf, A. H. (2018). Gas Dispersion Modeling from the Chimney Power Plant Pasquil-Gaussian Model. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (Journal of Natural Resources and Environmental Management), 8(3), 414–419. https://doi.org/10.29244/jpsl.8.3.414-419

Beychok M.R. (2005). Fundamentals of Stack Gas Dispersion. 4th ed, Beychok, Newport Beach, CA.

Budi Santoso, A., Nugroho, R., & Wijayanto, T. (2023). Studi Kasus Dispersi CO₂ di Fasilitas Pengolahan Migas Jawa Tengah. Jurnal Rekayasa Proses, 15(2), 112-125., 112–125.

Ching Shih Gin, by, & Darul Ridzuan, P. (2012). Gas Dispersion Modeling.

Crippa, M., Guizzardi, D., Pagani, F., Banja, M., Muntean, M., Schaaf E., Becker, W., Monforti-Ferrario, F., Quadrelli, R., Risquez Martin, A.,

Taghavi-Moharamli, P., Köykkä, J., Grassi, G., Rossi, S., Brandao De Melo, J., Oom, D., Branco, A., San-Miguel, E. (2023). Ghg Emissions of All World Countries. In Publications Office of the European Union. https://doi.org/10.2760/235266

Dickinson, A., & King, P. (2023). Humber Zero-CO2 Venting & Dispersion Report-Humber Zero-CO2 Venting & Dispersion Report.

DNV-GL. (2019). SAFETI-NL: Taking hazard and risk analysis one step further. Release Notes, August.

DNV.GL. (2018). PHAST and PHAST LITE. Https://Www.Dnvgl.Com/Software.

erera, F. P. (2017). Pollution and health: an overview of environmental challenges. Pollution and Health, 1(14), 129-137.

Gant, S. E., Kelsey, A., McNally, K., Witlox, H., & Bilio, M. (2013). Sensitivity analysis of dispersion models for jet releases of dense-phase carbon dioxide. Chemical Engineering Transactions, 31(2012), 121–126. https://doi.org/10.3303/CET1331021

Gifford, F. A. (1961). A method for estimating the dispersion of air pollutants. Journal of the Air Pollution Control Association, 11(1), 12-16. https://doi.org/doi:10.1080/00022470.1961.10468363

Health and Safety Executive. (2020). List of Workplace Exposure Limits (WELS) (Fourth Edition 2020). Hse, 2002, 1–61. https://www.hse.gov.uk/pubns/books/eh40.htm

Herlianty, S., & Dewi, D. K. (2013). Potensi Gangguan Bau Gas Hidrogen Sulfida (H2S) Di Lingkungan Kerja PT PERTAMINA (Persero) RU IV Cilacap. In Jurnal Teknik Lingkungan (Vol. 19).

Jones and Smith. (2020). CO₂ Dispersion in Industrial Environments: Impacts on Atmospheric Conditions and Human Health.

Lee, U., & Oh, J. S. (2017). A Study on Natural Gas Dispersion Modeling for Gas Safety Platform Development. International Journal of Control and Automation, 10(12), 147–164. https://doi.org/10.14257/ijca.2017.10.12.14

Meng, Z. (2015). A Fuzzy GM(1,1) Model Based Possibility Check for Predicting CO2 Emissions. International Journal of Machine Learning and Computing, 5(1), 24–30. https://doi.org/10.7763/ijmlc.2015.v5.477

Menteri Kesehatan Republik Indonesia. (2016). Peraturan Menteri Kesehatan No 2 Tahun 2016 Tentang Standar dan Persyaratan Kesehatan Lingkungan Kerja.

Menteri Negara Lingkungan Hidup. (1996). Keputusan Menteri Negara Lingkungan Hidup No . 15 Tahun 1996 Tentang : Baku Tingkat Getaran. Program, 49, 15.

https://baristandsamarinda.kemenperin.go.id/download/KepMenLH49(1996)-Baku_Tingkat_Getaran.pdf

Middlesex, B., Kingdom, U., & Limited, W. E. (2023). CO 2 Venting & Dispersion Report. 215005, 1–27.

Nair, S. R. R., Ogbeifun, N. O., & Wen, J. (2022). Consequence assessment considerations for toxic natural gas dispersion modeling. Journal of Loss Prevention in the Process Industries, 78(May), 104792. https://doi.org/10.1016/j.jlp.2022.104792

Oosterkamp A, R. J. (2008). State-of-the-art overview of CO2 pipeline transport with relevance to offshore pipelines. Polytec, Norway.

Pasquill, F. (1961). The estimation of the dispersion of windborne material. Meteorological Magazine, 90(1060), 33–49.

Pickles, J. (2019). Top 5 reasons for upgrading to the latest version of PhastTM / Safeti. https://www.dnv.com/software/campaigns-2019/phast-safeti-top-5-reasons-for-upgrading-to-the-latest-version-webinar-video/

Rahmadhani Ardhi. (2017). Pemodelan Dispersi Pencemaran Udara Sumber Majemuk Industri Semen Di Kabupaten Tuban Jawa Timur.

Https://Repository.Its.Ac.Id/42811/2/3313100009-Undergraduate_Thesis.Pdf, 6–7. https://repository.its.ac.id/42811/2/3313100009-Undergraduate_Thesis.pdf

Rahmawati, D., Zulkarnain, Z., dan Setiawan, F. (2020). Analisis Daya Sebar Gas CO₂ Akibat Kebocoran di Fasilitas Pengolahan Gas Alam Menggunakan Model PHAST 8.1. Lingkungan Dan Kesehatan, 12(3), 150–160.

Sherpa Consulting. (2015). Dispersion Modelling Techniques for Carbon Dioxide Pipelines in Australia. 1, 1–193.

https://www.globalccsinstitute.com/publications/dispersion-modelling-techniques-carbon-dioxide-pipelines-australia

Sutanto, B., & Wijaya, D. (2022). Pemodelan Risiko Kebocoran Gas CO₂ pada Pipeline Migas Menggunakan PHAST 8.2. Jurnal Teknologi Dan Keselamatan Industri, 9(2), 97–110.

White, M. & Brown, T. (2018). Environmental Impacts of CO₂ Dispersion: Direct and Indirect Effects on Air Quality and Ecosystems. Journal of Environmental Management, 210, 1–12. https://doi.org/10.1016/j.jenvman.2018.01.012

Witlox, H. W. M., Harper, M., Oke, A., & Stene, J. (2014). Phast validation of discharge and atmospheric dispersion for pressurised carbon dioxide releases. Journal of Loss Prevention in the Process Industries, 30(1), 243–255. https://doi.org/10.1016/j.jlp.2013.10.006

Zhang, Y., Oldenburg, C. M., & Pan, L. (2016). Fast Estimation of Dense Gas Dispersion from Multiple Continuous CO2 Surface Leakage Sources for Risk Assessment. 1–30.

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2026-02-01

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