Analysis of dispersion of heated effluent from power plant: a case study

Shah, V.N.; Dekhatwala, Ankit; Banerjee, Jyotirmay; Patra, A. K.

doi:10.1007/s12046-017-0625-9

Cited by 8 publications

(5 citation statements)

References 18 publications

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“…Dewasa ini ada beberapa model yang telah dikembangkan dalam mensimulasikan prediksi pola penyebaran gas atau zat kimia yang dipancarkan ke udara. Salah satunya adalah Computational Fluent Dynamic (CFD) atau model fluent [8][9][10][11].…”

Section: Pendahuluanunclassified

Prediksi Pola Sebaran Plume Rise Pada Variasi Kecepatan Emisi Gas Buang Chimney Dengan Simulasi Komputer

Shobakh

Widodo²

2022

JRM

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One of the most significant current issues that endangers environment is air pollution from industrial chimney emissions. In certain condition, the mathematical models to analyze this problem is the Gaussian Plume Model (GPM), which is a model of air pollutant distribution that takes place under constant conditions and is based on the Gaussian distribution. This model was developed based on the diffusion equation to determine the pollutant concentration from a single point source located at a certain altitude and terrain. The aim of this research was to investigate Simulating the dispersion pattern of pollutant gas plume rise from the chimney to the environment using Ansys Workbench software, analyze the shape of the plume rise dispersion pattern and investigate factors influence the plume rise in the chimney. The results showed that the plume rise dispersion pattern that occurred in this study is lofting. The higher the velocity of exhaust emissions coming out of the chimney, the higher the plume rise that occurs into the atmosphere. The factors that can affect the plume rise dispersion pattern in the chimney are the wind speed factors, the atmospheric air temperature factors, and the air stability factors.

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Section: Pendahuluanunclassified

Prediksi Pola Sebaran Plume Rise Pada Variasi Kecepatan Emisi Gas Buang Chimney Dengan Simulasi Komputer

Shobakh

Widodo²

2022

JRM

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“…Rasa dan bau terjadi pada air yang hangat karena terjadinya penurunan kelarutan terutama gas H2S, SO2, CH4, SOx (Huboyo dkk, 2007). Peningkatan suhu berdampak pada konsentrasi oksigen terlarut yang pada gilirannya akan mempengaruhi metabolism, reproduksi, umur dan menghambat pertumbuhan ekosisitem perairan (Shah, 2017).…”

Section: Pendahuluan 1latar Belakangunclassified

“…Studi ini dilakukan dalam beberapa skenario dengan menggunakan modul hidrodinamik dan modul adveksi dispersi dalam perangkat lunak MIKE 21 yang dikembangkan oleh DHI (Danish Hydraulics Institute). Selain dengan MIKE 21 pemodelan dispersi panas sering juga dilakukan dengan model PLIC-VOF (Shah, 2017), dengan model RMA2 (Fudlailah, 2015), Delft3D-FLOW (Sana, 2009). Hasil verifikasi pemodelan hidrodinamika dan dispersi panas dengan MIKE21 menunjukkan pola yang sama dengan hasil pengukuran di lapangan (Nurjaya, 2010;Abbaspour, 2006) bahkan hasil penelitian pada buangan sistem pendingin fasilitas LNG di Teluk Kutch India menunjukkan koefisien korelasi antara hasil pemodelan dan pengukuran berkisar 86%-98% (Gupta, 2014).…”

Section: Pendahuluan 1latar Belakangunclassified

Kajian Dispersi Panas Dampak Rencana Pembangunan PLTU Sampit-Kotawaringin Timur Propinsi Kalimantan Tengah

et al. 2018

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ABSTRAKSaat ini untuk memenuhi kebutuhan energi listrik pemerintah mencanangkan program pembangunan pembangkit listrik 10.000 MW. Salah satu implementasinya dengan membangun Pembangkit Listrik Tenaga Uap (PLTU) berbahan bakar batubara seperti PLTU Sampit di Kabupaten Kotawaringin Timur, Propinsi Kalimantan Tengah. Permasalahan utama kegiatan PLTU adalah suhu air buangan yang jauh lebih tinggi dari suhu perairan di sekitarnya. Kenaikan suhu iniselain akan mengurangi efisiensi system pendinginan juga dapat membahayakan kehidupan aquatik. Untuk meminimalkan dampak perlu dilakukan pemodelan adveksi/dispersi panas sebelum dilakukan pembangunan PLTU. Dengan pemodelan ini akan diketahui sebaran panas buangan PLTU sehingga sejak awal dapat dilakukan upaya-upaya untuk mengurangi dampak negatif yang muncul. Selain itu model ini dapat dipakai sebagai bahan pertimbangan dalam penentuan lokasi intake dan outfall sistem air pendingin. Studi ini dilakukan dalam beberapa skenario dengan menggunakan perangkat lunak MIKE-21. Berdasarkan hasil pemodelan diketahui bahwapola arus di perairan sekitar PLTU Sampit lebih dipengaruhi pasang surut dan debit sungai dari hulu. Pada musim timur, suhu air pada lokasi intake cukup terpengaruh oleh suhu air bahang pada outfall khususnya ketika air laut pasang. Perubahan temperaturair pada intake berkisar antara 30,1 -32 o C. Kenaikan tertinggi terjadi ketika air menuju pasang naik maksimum. Pada musim angin barat, suhu air pada lokasi intake hanya sedikit terpengaruh oleh suhu air bahang pada outfall, perubahan temperatur air pada intake hanya berkisar antara 29,99 -30,1 o C. Kenaikan tertinggi terjadi ketika air menuju pasang naik maksimum. Resirkulasi air pendingin dengan intensitas cukup besar (+ 2 o C) diprediksi terjadi saat air pasang. Hal ini dapat menjadi lebih parah bila debit sungai dari hulu berkurang yaitu ketika musim kemarau.Kata kunci: dispersi panas, PLTU, air bahang, intake, outfall ABSTRACT Now to comply the electricity needs, government announced the construction of 10,000 MW power plant. One of its implementation by building Steam Power Plant (PLTU) with coal-fired power such as Sampit in the District of Eastern Kotawaringin, Province of Center of Kalimantan. The main problem of power plant activities is the waste water temperatures much higher than the temperature of the surrounding waters. The rise of temperature will not only reduce the efficiency of the cooling system but also be harmful to aquatic life. To minimize the impact needs to be done advection/dispersion modeling of heat water prior to the construction of the power plant. With this modeling will be known distribution of heat waste from power plant in 2-dimensional, so that can be done since the beginning of efforts to reduce the negative impacts that arise. In addition, this model can be used as a consideration in the determination of the location of the intake and outfall system cooling water. This study was conducted in several scenarios using software MIKE-21. Based on modeling results is known that the curre...

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“…Over the last few years, numerical simulations have become the most essential technique to conduct research, given the valuable background knowledge they can provide. Although several numerical models have been used to analyze the problems of thermal pollution due to discharge from power plants [10][11][12][13][14], the small-scale transport effects of thermal plumes discharged into natural or artificial waterways are rarely studied [15]. Moreover, the effects of the turbulent viscosity and diffusivity are modeled using only constants, or at best using simple phenomenological algebraic formulas [16].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling

Laguna-Zarate

Barrios-Piña

Ramírez-León

et al. 2021

JMSE

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The aim of this work was to study, by remote sensing and numerical modeling, the thermal dispersion of a plume discharged into the sea by a nuclear power plant. The case study is the thermal discharge of the Laguna Verde nuclear power plant, located on the coast of the Gulf of Mexico. First, the thermal plume dispersion was characterized by applying remote sensing for different scenarios. Afterwards, Delft3D-FLOW numerical simulations were performed to expand the analysis of the thermal processes for a case in which the thermal plume tends towards the intake of the power plant. This thermal analysis was carried out by comparing the behavior of different dimensionless parameters. Moreover, the results of the numerical simulations were used to investigate the performance of the AEM and the k-L and k-ε turbulence models, available in the Delft3D-FLOW model. An LES turbulence model contribution was also analyzed. The results show that forced convection is predominant near the plume discharge area and at the vicinity of the intake structure. According to the metrics calculated, all turbulence models produced good agreement with the remote sensing data, except when the LES scheme was considered. Finally, the use of remote sensing and numerical simulations is helpful to better understand thermal plume dispersion.

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Analysis of dispersion of heated effluent from power plant: a case study

Cited by 8 publications

References 18 publications

Prediksi Pola Sebaran Plume Rise Pada Variasi Kecepatan Emisi Gas Buang Chimney Dengan Simulasi Komputer

Prediksi Pola Sebaran Plume Rise Pada Variasi Kecepatan Emisi Gas Buang Chimney Dengan Simulasi Komputer

Kajian Dispersi Panas Dampak Rencana Pembangunan PLTU Sampit-Kotawaringin Timur Propinsi Kalimantan Tengah

Analysis of Thermal Plume Dispersion into the Sea by Remote Sensing and Numerical Modeling

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