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Article

Transition to a Circular Bioeconomy in the Sugar Agro-Industry: Predictive Modeling to Estimate the Energy Potential of By-Products

by
Yoisdel Castillo Alvarez
1,*,
Reinier Jiménez Borges
2,
Gendry Alfonso-Francia
3,
Berlan Rodríguez Pérez
4,
Carlos Diego Patiño Vidal
1,
Luis Angel Iturralde Carrera
3,* and
Juvenal Rodríguez-Reséndiz
3
1
Department of Mechanical Engineering, Universidad Tecnológica del Perú, Lima 15046, Peru
2
Department of Mechanical Engineering, Faculty of Engineering, Universidad de Cienfuegos “Carlos Rafael Rodríguez”, Cienfuegos 59430, Cuba
3
Facultad de Ingeniería, Universidad Autónoma de Querétaro, Santiago de Queretaro 76010, CP, Mexico
4
Departamento de Gestión, Pontificia Universidad Catolica del Perú, Lima 15046, Peru
*
Authors to whom correspondence should be addressed.
Technologies 2025, 13(6), 238; https://doi.org/10.3390/technologies13060238
Submission received: 14 April 2025 / Revised: 22 May 2025 / Accepted: 3 June 2025 / Published: 10 June 2025
(This article belongs to the Section Environmental Technology)

Abstract

The linear economy model in the sugar agroindustry has generated multiple impacts due to the underutilization of by-products and reliance on fossil fuels. Through predictive modeling and anaerobic digestion, the circular bioeconomy of sugarcane biomass enables the generation of biogas and electricity in an environmentally sustainable manner. This theoretical-applied research proposes a predictive model to estimate the energy potential of by-products such as bagasse, vinasse, molasses, and filter cake, based on historical production data and validated technical coefficients. The model uses milled sugarcane as a baseline and projects its energy conversion under three scenarios through 2030. In its most favorable configuration, the model estimates energy production of up to 15.5 billion Nm3 of biogas in Cuba and 9.9 billion in Peru. The model’s architecture includes four residual biomass flows and bioenergy conversion factors applicable to electricity generation. It is validated using national statistical series from 2000 to 2018 and presents relative errors below 5%. Cuba, with a peak of over 13,000 GWh of electricity from bagasse, and Peru, with a stable output between 6500 and 7500 GWh, reflect the highest and lowest projected energy utilization, respectively. Bagasse accounts for over 60% of the total estimated energy contribution. This modeling tool is fundamental for advancing a transition toward a circular economy, as it helps mitigate environmental impacts, improve agroindustrial waste management, and guide sustainable policies in sugarcane-based contexts.
Keywords: circular bioeconomy; sugarcane by-products; predictive modeling; biogas; electric energy circular bioeconomy; sugarcane by-products; predictive modeling; biogas; electric energy
Graphical Abstract

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MDPI and ACS Style

Castillo Alvarez, Y.; Jiménez Borges, R.; Alfonso-Francia, G.; Rodríguez Pérez, B.; Patiño Vidal, C.D.; Iturralde Carrera, L.A.; Rodríguez-Reséndiz, J. Transition to a Circular Bioeconomy in the Sugar Agro-Industry: Predictive Modeling to Estimate the Energy Potential of By-Products. Technologies 2025, 13, 238. https://doi.org/10.3390/technologies13060238

AMA Style

Castillo Alvarez Y, Jiménez Borges R, Alfonso-Francia G, Rodríguez Pérez B, Patiño Vidal CD, Iturralde Carrera LA, Rodríguez-Reséndiz J. Transition to a Circular Bioeconomy in the Sugar Agro-Industry: Predictive Modeling to Estimate the Energy Potential of By-Products. Technologies. 2025; 13(6):238. https://doi.org/10.3390/technologies13060238

Chicago/Turabian Style

Castillo Alvarez, Yoisdel, Reinier Jiménez Borges, Gendry Alfonso-Francia, Berlan Rodríguez Pérez, Carlos Diego Patiño Vidal, Luis Angel Iturralde Carrera, and Juvenal Rodríguez-Reséndiz. 2025. "Transition to a Circular Bioeconomy in the Sugar Agro-Industry: Predictive Modeling to Estimate the Energy Potential of By-Products" Technologies 13, no. 6: 238. https://doi.org/10.3390/technologies13060238

APA Style

Castillo Alvarez, Y., Jiménez Borges, R., Alfonso-Francia, G., Rodríguez Pérez, B., Patiño Vidal, C. D., Iturralde Carrera, L. A., & Rodríguez-Reséndiz, J. (2025). Transition to a Circular Bioeconomy in the Sugar Agro-Industry: Predictive Modeling to Estimate the Energy Potential of By-Products. Technologies, 13(6), 238. https://doi.org/10.3390/technologies13060238

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