Advanced control strategies for cleaner energy conversion in biomass gasification
The escalating climate crisis necessitates urgent and decisive action to mitigate greenhouse gas emissions. Gasification stands out as a highly adaptable process for energy conversion, capable of handling a wide range of feedstocks, from coal to biomass. The process plays a significant role in impro...
- Autores:
-
Palencia Díaz, Argemiro
Fábregas Villegas, Jonathan
Velilla Díaz, Wilmer
Monroy Barrios, Johann
- Tipo de recurso:
- Fecha de publicación:
- 2024
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12951
- Palabra clave:
- Gasification
Sustainability
Biomass
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/publicdomain/zero/1.0/
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Advanced control strategies for cleaner energy conversion in biomass gasification |
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Advanced control strategies for cleaner energy conversion in biomass gasification |
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Advanced control strategies for cleaner energy conversion in biomass gasification Gasification Sustainability Biomass LEMB |
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Advanced control strategies for cleaner energy conversion in biomass gasification |
| title_full |
Advanced control strategies for cleaner energy conversion in biomass gasification |
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Advanced control strategies for cleaner energy conversion in biomass gasification |
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Advanced control strategies for cleaner energy conversion in biomass gasification |
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Advanced control strategies for cleaner energy conversion in biomass gasification |
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Palencia Díaz, Argemiro Fábregas Villegas, Jonathan Velilla Díaz, Wilmer Monroy Barrios, Johann |
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Palencia Díaz, Argemiro Fábregas Villegas, Jonathan Velilla Díaz, Wilmer Monroy Barrios, Johann |
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Gasification Sustainability Biomass |
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Gasification Sustainability Biomass LEMB |
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LEMB |
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The escalating climate crisis necessitates urgent and decisive action to mitigate greenhouse gas emissions. Gasification stands out as a highly adaptable process for energy conversion, capable of handling a wide range of feedstocks, from coal to biomass. The process plays a significant role in improving sustainability by converting these feedstocks into synthesic gas (syngas), which can be used as a cleaner energy source or as a building block for producing various chemicals. The utilization of syngas obtained through gasification not only reduces the reliance on fossil fuels but also helps in reducing greenhouse gases (GHGs), thereby contributing to a more sustainable energy landscape. To maintain optimal operational conditions and ensure the quality and safety of the product, an effective control system is crucial in the gasification process. This paper presents a comparative analysis of three control strategies applied to a numerical model of rice husk gasification: classical control, fuzzy logic control, and dynamic matrix control. The analysis is based on a comprehensive model that includes the equations necessary to capture the dynamic behavior of the gasification process across its various stages. The goal is to identify the most effective control strategy, and the performance of each control strategy is evaluated based on the integral of the absolute value of the error (IAE). The results indicatethat fuzzy logic control consistently outperforms classical control techniques, demonstrating superior disturbance rejection, enhanced stability, and overall improved control accuracy. These findings highlight the importance of selecting an appropriate advanced control strategy to optimize sustainable gasification processes. |
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2024 |
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2024-12-06T13:31:17Z |
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2024-12-06T13:31:17Z |
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2024-12-06 |
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2024-12-06 |
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Velilla-Díaz, W., Barrios, J. M., Villegas, J. F., & Palencia-Díaz, A. (2024). Advanced Control Strategies for Cleaner Energy Conversion in Biomass Gasification. Sustainability, 16(23), 10691. https://doi.org/10.3390/su162310691 |
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https://hdl.handle.net/20.500.12585/12951 |
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https://doi.org/10.3390/su162310691 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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Velilla-Díaz, W., Barrios, J. M., Villegas, J. F., & Palencia-Díaz, A. (2024). Advanced Control Strategies for Cleaner Energy Conversion in Biomass Gasification. Sustainability, 16(23), 10691. https://doi.org/10.3390/su162310691 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/12951 https://doi.org/10.3390/su162310691 |
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eng |
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eng |
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16 páginas |
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Cartagena de Indias |
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Ingeniería |
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Campus Tecnológico |
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Ingeniería Mecatrónica |
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Palencia Díaz, Argemirof16cdaf5-429b-4cc1-9893-7261733d2f39Fábregas Villegas, Jonathand0e93bac-ba66-4682-b6a1-b1b4ffe82937Velilla Díaz, Wilmer0b62bcbc-7077-4361-9708-424b68c21cf7Monroy Barrios, Johann96880f66-066d-450e-91cc-c00bb5b192c62024-12-06T13:31:17Z2024-12-06T13:31:17Z2024-12-062024-12-06Velilla-Díaz, W., Barrios, J. M., Villegas, J. F., & Palencia-Díaz, A. (2024). Advanced Control Strategies for Cleaner Energy Conversion in Biomass Gasification. Sustainability, 16(23), 10691. https://doi.org/10.3390/su162310691https://hdl.handle.net/20.500.12585/12951https://doi.org/10.3390/su162310691Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe escalating climate crisis necessitates urgent and decisive action to mitigate greenhouse gas emissions. Gasification stands out as a highly adaptable process for energy conversion, capable of handling a wide range of feedstocks, from coal to biomass. The process plays a significant role in improving sustainability by converting these feedstocks into synthesic gas (syngas), which can be used as a cleaner energy source or as a building block for producing various chemicals. The utilization of syngas obtained through gasification not only reduces the reliance on fossil fuels but also helps in reducing greenhouse gases (GHGs), thereby contributing to a more sustainable energy landscape. To maintain optimal operational conditions and ensure the quality and safety of the product, an effective control system is crucial in the gasification process. This paper presents a comparative analysis of three control strategies applied to a numerical model of rice husk gasification: classical control, fuzzy logic control, and dynamic matrix control. The analysis is based on a comprehensive model that includes the equations necessary to capture the dynamic behavior of the gasification process across its various stages. The goal is to identify the most effective control strategy, and the performance of each control strategy is evaluated based on the integral of the absolute value of the error (IAE). The results indicatethat fuzzy logic control consistently outperforms classical control techniques, demonstrating superior disturbance rejection, enhanced stability, and overall improved control accuracy. These findings highlight the importance of selecting an appropriate advanced control strategy to optimize sustainable gasification processes.16 páginasapplication/pdfenghttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccessCC0 1.0 Universalhttp://purl.org/coar/access_right/c_abf2SustainabilityAdvanced control strategies for cleaner energy conversion in biomass gasificationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85GasificationSustainabilityBiomassLEMBCartagena de IndiasIngenieríaCampus TecnológicoIngeniería MecatrónicaInvestigadoresNarnaware, S.L.; Panwar, N. Biomass gasification for climate change mitigation and policy framework in India: A review. Bioresour. Technol. Rep. 2022, 17, 100892Pereira, E.G.; Da Silva, J.N.; De Oliveira, J.L.; Machado, C.S. Sustainable energy: A review of gasification technologies. Renew. Sustain. Energy Rev. 2012, 16, 4753–4762Sun, Y.; Wang, S.; Yang, Q.; Li, J.; Wang, L.; Zhang, S.; Yang, H.; Chen, H. Environmental impact assessment of VOC emissions from biomass gasification power generation system based on life cycle analysis. Fuel 2023, 335, 126905.Leisin, M.; Radgen, P. Holistic assessment of decarbonization pathways of energy-intensive industries based on exergy analysis. Sustainability 2023, 16, 351.Fanelli, E. CFD Hydrodynamics Investigations for Optimum Biomass Gasifier Design. Processes 2020, 8, 1323.Wu, Z.; Yuan, J.; Liu, Y.; Li, D.; Chen, Y. An active disturbance rejection control design with actuator rate limit compensation for the ALSTOM gasifier benchmark problem. Energy 2021, 227, 120447.Huang, C.E.; Li, D.; Xue, Y. Active disturbance rejection control for the ALSTOM gasifier benchmark problem. Control Eng. Pract. 2013, 21, 556–564.Asaad, S.M.; Inayat, A.; Rocha-Meneses, L.; Jamil, F.; Ghenai, C.; Shanableh, A. 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