The comparison of discrete ordinate and Monte Carlo methods in solving of the radiation transfer equations in a heterogenous reactor
Bibliographic record
Abstract
Research Article| November 27 2017 The comparison of discrete ordinate and Monte Carlo methods in solving of the radiation transfer equations in a heterogenous reactor G. Asadollahfardi; G. Asadollahfardi 1Civil Engineering Department, Kharazmi University, Tehran 15719-14911, Iran E-mail: asadollahfardi@yahoo.com Search for other works by this author on: This Site PubMed Google Scholar M. Noori; M. Noori 1Civil Engineering Department, Kharazmi University, Tehran 15719-14911, Iran Search for other works by this author on: This Site PubMed Google Scholar M. Asadi; M. Asadi 2Engineering Department, University of Saskatchewan, Saskatoon S7N 5A9, Canada Search for other works by this author on: This Site PubMed Google Scholar M. Taherioun M. Taherioun 3Civil Engineering Department, Isfahan University of Technology, Isfahan, Iran Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2018) 67 (1): 109–118. https://doi.org/10.2166/aqua.2017.058 Article history Received: March 10 2017 Accepted: October 16 2017 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation G. Asadollahfardi, M. Noori, M. Asadi, M. Taherioun; The comparison of discrete ordinate and Monte Carlo methods in solving of the radiation transfer equations in a heterogenous reactor. Journal of Water Supply: Research and Technology-Aqua 1 February 2018; 67 (1): 109–118. doi: https://doi.org/10.2166/aqua.2017.058 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Abstract Photoreactor applications in water and wastewater treatment has been increased in recent years. The simulation of radiation distribution inside the reactors allows the optimization of its operation. The radiation transfer equation (RTE) illustrates the field radiation. We applied the discrete ordinate (DO) method to solve the RTE and computed the local volumetric rate of energy absorption (LVREA) in a photoreactor, consisting of a Ultra Violet (UV) lamp and titanium dioxide Degussa P25 (TiO2 DP 25) catalyst. First, GAMBIT 2.4.6 was employed to model the reactor in three dimensions. The simulation of the radiation distribution was carried out using FLUENT 14.5 software in the framework of a multiple point source summation (MPSS) model. The robustness of the DO approach was assessed by comparing with the Monte Carlo (MC) method and experimental data. The coefficient of determination (R2) and index of agreement (IA) of DO and experimental data were 0.95 and 0.93, respectively. The DO and MC had a good convergence in the low concentrations of TiO2 DP 25. In the concentrations between 0.03 g/l to 0.15 g/l, the difference with experimental data increased. In the concentration of 0.15 g/l, and beyond, the both methods and experimental data were in a good agreement. discrete ordinate (DO) method, Monte Carlo (MC) method, photoreactor, radiation transfer equation (RTE), ultraviolet (UV) lamp © IWA Publishing 2018 You do not currently have access to this content.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".