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Approach to Reduce Costs in Peruvian Industry through Battery Energy Storage Systems and Migration to the Free Market

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

Resumen

This study proposes an energy optimization model to minimize electricity costs in Peruvian industry by integrating Free-Market procurement and Battery Energy Storage Systems (BESS) while maintaining reliability. The model is validated in a continuous plastics plant with a 24/7 load profile, based on an audit that reconstructs 15-minute demand and characterizes peak, off-peak, and reactive consumption. The main contribution is an invoice-consistent co-optimization framework that jointly determines procurement (regulated vs. Free Market) and BESS sizing/dispatch using billing drivers (peak demand, network tolls, and reactive penalties). We compare regulated MT3, Free Market, and Free Market plus BESS peak shaving that reduces peak kW and transmission connection tolls. Results show that migrating from MT3 to a Free Market contract reduces the monthly bill by 30%, and adding a sized BESS increases total savings to 50%, with a simple payback of roughly 3-4 years and no upfront capital requirement. The Energy Triangle index indicates improved sustainability, security, and equity for 24/7 plastics facilities.

Idioma originalInglés estadounidense
Título de la publicación alojadaProceedings of 2026 International Conference on Electrical Engineering, Intelligent Control and Artificial Intelligence, EEICAI 2026
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas119-126
-8
ISBN (versión digital)9798331578497
DOI
EstadoIndizado - 2026
Evento2026 International Conference on Electrical Engineering, Intelligent Control and Artificial Intelligence, EEICAI 2026 - Bangkok, Tailandia
Duración: 9 ene. 202611 ene. 2026

Serie de la publicación

NombreProceedings of 2026 International Conference on Electrical Engineering, Intelligent Control and Artificial Intelligence, EEICAI 2026

Conferencia

Conferencia2026 International Conference on Electrical Engineering, Intelligent Control and Artificial Intelligence, EEICAI 2026
País/TerritorioTailandia
CiudadBangkok
Período9/01/2611/01/26

Nota bibliográfica

Publisher Copyright:
© 2026 IEEE.

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