Optimization of contracted demand and power factor in an agricultural support industry
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Abstract
Optimizing contracted demand and correcting the power factor (PF) are essential strategies for energy efficiency in the industrial sector, as they reduce electricity costs without affecting operational continuity. The objective of this work is to optimize contracted demand and PF in an agricultural support industry using linear programming and capacitor bank sizing. Historical series of monthly peak demand and PF records were analyzed. For contracted demand, a one-dimensional linear programming model was formulated that evaluated scenarios between 150 and 250 kW. For the power factor, a capacitor bank was sized by calculating the reactive power required to achieve a PF ≥ 0.96. The optimal demand was set at 160 kW, generating annual savings of 148,950 CUP compared to the initially contracted 250 kW. Power factor correction with an 80 kVAr capacitor bank eliminated annual reactive charges of 66,624 CUP and resulted in frequent repayment bonuses. The combined total annual energy savings amounted to 220,574 CUP, representing approximately 25% of the company's electricity costs. The integration of both strategies has proven highly effective in reducing energy costs in the agribusiness sector. It is recommended to renegotiate the contracted demand to 165 kW as a safety margin, install the capacitor bank with an automatic controller and continuous monitoring, and review these parameters annually in light of potential changes in consumption patterns.
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References
BORGES VASCONCELLOS, D.; PUCH GONZÁLEZ, P.; FRÍAS GONZÁLEZ, G.: "Control de demanda eléctrica aplicando algoritmos genéticos", Ingeniare. Revista chilena de ingeniería, 25(3): 389-398, 2017, ISSN: 0718-3305, DOI: http://dx.doi.org/10.4067/S0718-33052017000300389
BRAGAGNOLO, S.N.; VASCHETTI, J.C.; MAGNAGO, F.; GOMEZ TARGARONA, J.C.: "Gestión de la demanda en las redes inteligentes. Perspectiva y control desde el usuario y la distribuidora", Información tecnológica, 31(3): 159-170, 2020, ISSN: 0718-0764, DOI: http://dx.doi.org/10.4067/S0718-07642020000300159
BRICEÑO LEÓN, M.; PAZMIÑO QUISHPE, D.; CLAIRAND, J.M.; ESCRIVÁ ESCRIVÁ, G.: "Medidas de eficiencia energética en panaderías hacia la competitividad y la sostenibilidad. Estudios de caso en Quito, Ecuador", Sostenibilidad, 13(9): 5209, 2021, ISSN: 2695-2718, DOI: https://doi.org/10.3390/su13095209
CASCANTE, G.E.M.; LOZANO, Á.G.G.; ALULEMA, J.C.M.; GONZÁLEZ, T.J.O.; CABEZAS, E.F.G.: "Diagnóstico energético de la empresa TEIMSA basado en la norma ISO 50001", Industrial data, 21(1): 43-52, 2018, ISSN: 1810-9993, DOI: http://dx.doi.org/10.15381/idata.v21i1.14910
CORIA, G.E.; SAMPER, M.E.: "Evaluación de mecanismos de incentivo para la generación de energía solar distribuida en San Juan, Argentina", Ingeniare. Revista chilena de ingeniería, 30(3): 551-563, 2022, ISSN: 0718-3305, DOI: http://dx.doi.org/10.4067/S0718-33052022000300551
CORONEL REYES, L.G.; BALLADARES ATOCHE, C.: "Análisis de la implementación de la metodología Lean Kaizen en la gestión de energía: una revisión sistemática", Revista InveCom, 6(2): 1-10, 2026, ISSN: 2739-0063, DOI: https://doi.org/10.5281/zenodo.16999763
GIHA YIDI, S.A.; SOUSA SANTOS, V.; BERDUGO SARMIENTO, K.; CANDELO-BECERRA, J.E.; DE LA CRUZ, J.: "Comparison of reactive power compensation methods in an industrial electrical system with power quality problems", Electricity, 5(3): 642-661, 2024, ISSN: 2673-4826, DOI: https://doi.org/10.3390/electricity5030032
MURILLO RODRÍGUEZ, V.A.; GUIRETTE BARBOSA, O.A.; ROBLES SOLÍS, J.M.: "Mejora de las perturbaciones de un sistema eléctrico mediante la automatización de los elementos de regulación", Ingeniería, investigación y tecnología, 25(2): 1-13, 2024, ISSN: 2594-0732, DOI: https://doi.org/10.22201/fi.25940732e.2024.25.2.014
RAMOS SANZ, A.I.: "Rentabilidad de las estrategias pasivas de eficiencia energética para la industria del vino. Análisis termo-energético y económico", Revista hábitat sustentable, 8(2): 90-103, 2018, ISSN: 0719-0700, DOI: http://dx.doi.org/10.22320/07190700.2018.08.02.07
SANTIESTEBAN VELÁZQUEZ, A.; NÁPOLES GONZÁLEZ, J.O.; SILVA BECHERAN, J.M.: "Propuestas de mejoras energéticas en el área del tándem de un ingenio azucarero de la provincia Las Tunas, Cuba", Revista Ciencias Técnicas Agropecuarias, 24(1): 14-21, 2015, ISSN: 2071-0054
SORIA, C.L.; PANDOLFI, D.R.; VILLAGRA, S.M.; VILLAGRA, N.A.: "Algoritmos de Búsqueda Dispersa aplicados a problemas de Optimización Discreta", Informe Científico Técnico UNPA, 8(1): 132-150, 2016, ISSN: 1852-4516
TELLO MAITA, J.; MARULANDA GUERRA, A.: "Modelos de optimización para sistemas de potencia en la evolución hacia redes inteligentes: Una revisión", Dyna, 84(202): 102-111, 2017, ISSN: 0012-7353, DOI: https://doi.org/10.15446/dyna.v84n202.63354
VELASCO, A.N.C.; FIALOS, J.N.C.; CAIZA, C.I.Q.; COLLAGUAZO, E.F.G.: "Optimización de la compensación reactiva en sistemas eléctricos por el método CRITIC", Ciencia digital, 7(2): 64-81, 2023, ISSN: 2602-8085, DOI: https://doi.org/10.33262/cienciadigital.v7i2.2542
VELASCO, K.; PESANTEZ, G.; GUAMÁN, W.; PROAÑO, X.; AUCAPIÑA, P.: "Optimización Acelerada del Flujo de Potencia Mediante Técnicas de Aproximación Lineal", Revista Politécnica, 55(2): 35-42, 2025, ISSN: 2477-8990, DOI: https://doi.org/10.33333/rp.vol55n2.03
VILLAMARÍN, A.; SALTOS, M.; ECHEVER, J.C.: "Dimensionamiento Óptimo de Sistemas Fotovoltaicos y Baterías en Entornos Residenciales para Reducir la Dependencia de la Infraestructura Eléctrica Centralizada", Revista Técnica energía, 21(2): 60-68, 2025, ISSN: 2602-8492, DOI: https://doi.org/10.37116/revistaenergia.v21.n2.2025.685