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Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study

In recent years, there has been an increasing urgency among energy-intensive companies to find innovative ways of mitigating the negative financial impacts of rising fuel and electricity prices. Consequently, companies are exploring new technological solutions to lower electricity costs, such as inv...

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Published in:Energies (Basel) 2024-03, Vol.17 (6), p.1307
Main Authors: Benalcazar, Pablo, Malec, Marcin, Kaszyński, Przemysław, Kamiński, Jacek, Saługa, Piotr W.
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description In recent years, there has been an increasing urgency among energy-intensive companies to find innovative ways of mitigating the negative financial impacts of rising fuel and electricity prices. Consequently, companies are exploring new technological solutions to lower electricity costs, such as investing in their own power generation sources or storage systems. In this context, this article presents a data-driven optimization-based framework to manage and optimize the operation of a hybrid energy system within industries characterized by substantial power requirements. The framework encompasses several key aspects: electricity generation, self-consumption, storage, and electric grid interaction. The case of an energy-intensive company specializing in wood processing and office furniture production is evaluated. This study explored two system configurations of hybrid energy systems within an energy-intensive company. The result of the analyzed case shows that the system’s flexibility is enhanced by its ability to store energy, resulting in electricity cost savings of nearly 72% and total operating cost savings of 20%.
doi_str_mv 10.3390/en17061307
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identifier ISSN: 1996-1073
ispartof Energies (Basel), 2024-03, Vol.17 (6), p.1307
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subjects Alternative energy sources
Case studies
Cost control
Decision making
Demand side management
Electric vehicles
Electricity
Energy consumption
Energy management
Energy management systems
Energy resources
Energy storage
Energy use
energy-intensive sectors
hybrid energy systems
Linear programming
Mathematical models
Mathematical programming
Monte Carlo simulation
Operating costs
Optimization
Power lines
Prices and rates
Production planning
Renewable resources
Scheduling
Startups
Stochastic models
Technology application
Volatility
title Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study
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