Analysis of the operation of an industrial reforming furnace based on plant data and process simulation
A fundamental process in the clean-fuels chain corresponds to the steam methane reforming (SMR), which generates the hydrogen needed for production of low-sulphur fuels. The identification of opportunities to increase hydrogen production involves the analysis of variables that affects heat supply in...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Instituto Colombiano del petróleo y energías de la Transición - ICPET
2024-06-01
|
| Series: | CT&F Ciencia, Tecnología & Futuro |
| Subjects: | |
| Online Access: | https://ctyf.journal.ecopetrol.com.co/index.php/ctyf/article/view/751 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841542611127500800 |
|---|---|
| author | Giovanni Morales-Medina Oscar Emilio Martínez-González Haydee Quiroga Becerra |
| author_facet | Giovanni Morales-Medina Oscar Emilio Martínez-González Haydee Quiroga Becerra |
| author_sort | Giovanni Morales-Medina |
| collection | DOAJ |
| description | A fundamental process in the clean-fuels chain corresponds to the steam methane reforming (SMR), which generates the hydrogen needed for production of low-sulphur fuels. The identification of opportunities to increase hydrogen production involves the analysis of variables that affects heat supply in the SMR furnace (preheating and reaction section). This document presents the main results of an analysis of heat supply in an industrial SMR furnace based on both, data analysis and simulation with Aspen HYSYS. To such end, eight-year-process-operation data were collected and analysed with kmeans multivariate algorithm. The simulation was validated with pertinent design data and compared to process data. Next, the simulation was applied to explore the operating surface of the furnace to identify conditions with major hydrogen production. According to the results, the statistical analysis by kmeans divided the data into two operational modes that were representative for the furnace; one of them showed the major H2 production. Similarly, the simulation results suggested that the increase in H2 generation was stabilized with the highest values of both heat and natural gas, tending towards a steady state value. |
| format | Article |
| id | doaj-art-4d38cfc6dc4940508fad8afc849dd080 |
| institution | Kabale University |
| issn | 0122-5383 2382-4581 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Instituto Colombiano del petróleo y energías de la Transición - ICPET |
| record_format | Article |
| series | CT&F Ciencia, Tecnología & Futuro |
| spelling | doaj-art-4d38cfc6dc4940508fad8afc849dd0802025-01-13T21:31:39ZengInstituto Colombiano del petróleo y energías de la Transición - ICPETCT&F Ciencia, Tecnología & Futuro0122-53832382-45812024-06-011411328https://doi.org/10.29047/01225383.751Analysis of the operation of an industrial reforming furnace based on plant data and process simulationGiovanni Morales-Medina0https://orcid.org/0009-0009-0526-1035Oscar Emilio Martínez-González1https://orcid.org/0009-0006-5215-0512Haydee Quiroga Becerra2https://orcid.org/0000-0002-9193-1438ECOPETROL S.A, Barrancabermeja, ColombiaUniversidad Industrial de Santander, Escuela de Ingeniería Química, Bucaramanga, ColombiaInstituto Colombiano del petróleo ICP, Piedecuesta, ColombiaA fundamental process in the clean-fuels chain corresponds to the steam methane reforming (SMR), which generates the hydrogen needed for production of low-sulphur fuels. The identification of opportunities to increase hydrogen production involves the analysis of variables that affects heat supply in the SMR furnace (preheating and reaction section). This document presents the main results of an analysis of heat supply in an industrial SMR furnace based on both, data analysis and simulation with Aspen HYSYS. To such end, eight-year-process-operation data were collected and analysed with kmeans multivariate algorithm. The simulation was validated with pertinent design data and compared to process data. Next, the simulation was applied to explore the operating surface of the furnace to identify conditions with major hydrogen production. According to the results, the statistical analysis by kmeans divided the data into two operational modes that were representative for the furnace; one of them showed the major H2 production. Similarly, the simulation results suggested that the increase in H2 generation was stabilized with the highest values of both heat and natural gas, tending towards a steady state value.https://ctyf.journal.ecopetrol.com.co/index.php/ctyf/article/view/751hydrogenindustrial unitsimulationsteam methane reformingaspen hysyskmeans |
| spellingShingle | Giovanni Morales-Medina Oscar Emilio Martínez-González Haydee Quiroga Becerra Analysis of the operation of an industrial reforming furnace based on plant data and process simulation CT&F Ciencia, Tecnología & Futuro hydrogen industrial unit simulation steam methane reforming aspen hysys kmeans |
| title | Analysis of the operation of an industrial reforming furnace based on plant data and process simulation |
| title_full | Analysis of the operation of an industrial reforming furnace based on plant data and process simulation |
| title_fullStr | Analysis of the operation of an industrial reforming furnace based on plant data and process simulation |
| title_full_unstemmed | Analysis of the operation of an industrial reforming furnace based on plant data and process simulation |
| title_short | Analysis of the operation of an industrial reforming furnace based on plant data and process simulation |
| title_sort | analysis of the operation of an industrial reforming furnace based on plant data and process simulation |
| topic | hydrogen industrial unit simulation steam methane reforming aspen hysys kmeans |
| url | https://ctyf.journal.ecopetrol.com.co/index.php/ctyf/article/view/751 |
| work_keys_str_mv | AT giovannimoralesmedina analysisoftheoperationofanindustrialreformingfurnacebasedonplantdataandprocesssimulation AT oscaremiliomartinezgonzalez analysisoftheoperationofanindustrialreformingfurnacebasedonplantdataandprocesssimulation AT haydeequirogabecerra analysisoftheoperationofanindustrialreformingfurnacebasedonplantdataandprocesssimulation |