Levelized cost of electricity calculation of the energy generation plant of a CO2 neutral micro-grid

Arrinda, Mikel; Berecibar, Maitane; Oyarbide, Mikel; Macicior, Haritz; Muxika, Eñaut; Messagie, Maarten

doi:10.1016/j.energy.2020.118383

Cited by 14 publications

(5 citation statements)

References 21 publications

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“…The heat generation of the battery system is not measured. Instead, the heat generation is estimated from the continuously measured current and the continuously estimated open circuit voltage (OCV) and impedance (estimated by the BMS), see Equation ( 3) [29]. The values given to this feature were dependent to the most likely current profile (already defined in Section 2), and the OCV and impedance of the battery when going through that current profile.…”

Section: Q Batmentioning

confidence: 99%

Surrogate Model of the Optimum Global Battery Pack Thermal Management System Control

et al. 2022

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The control of the battery-thermal-management-system (BTMS) is key to prevent catastrophic events and to ensure long lifespans of the batteries. Nonetheless, to achieve a high-quality control of BTMS, several technical challenges must be faced: safe and homogeneous control in a multi element system with just one actuator, limited computational resources, and energy consumption restrictions. To address those challenges and restrictions, we propose a surrogate BTMS control model consisting of a classification machine-learning model that defines the optimum cooling-heating power of the actuator according to several temperature measurements. The la-belled-data required to build the control model is generated from a simulation environment that integrates model-predictive-control and linear optimization concepts. As a result, a controller that optimally controls the actuator with multi-input temperature signals in a multi-objective optimization problem is constructed. This paper benchmarks the response of the proposal using different classification machine-learning models and compares them with the responses of a state diagram controller and a PID controller. The results show that the proposed surrogate model has 35% less energy consumption than the evaluated state diagram, and 60% less energy consumption than a traditional PID controller, while dealing with multi-input and multi-objective systems.

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Section: Q Batmentioning

confidence: 99%

Surrogate Model of the Optimum Global Battery Pack Thermal Management System Control

et al. 2022

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“…[ 22 ] The work from ref. [23] explores the levelized power cost of microgrid power plants and conducts a technical and economic evaluation of the microgrid. [ 24 ] Moreover, to solve the problem of insufficient endurance of electric vehicles, the study [ 25 ] explores the positive impact of supercapacitor storage on battery cycle life and electric vehicle performance and economy.…”

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment of Energy Storage Technologies for New Power Systems under Dual‐Carbon Target: A Review

Yi,

Chang,

et al. 2024

Energy Tech

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Aiming at the grid security problem such as grid frequency, voltage, and power quality fluctuation caused by the large‐scale grid‐connected intermittent new energy, this article investigates the life cycle assessment of energy storage technologies based on the technical characteristics and performance indicators. First, the new power system under dual‐carbon target is reviewed, which is compared with the traditional power system from the generation side, grid side, and user side. Based on the power characteristics of the new power system, the energy storage mechanism and energy storage characteristics of mechanical energy storage, electrochemical energy storage, chemical energy storage, electromagnetic energy storage, and thermal energy storage are described. Then, compared with the existing research strategies, a comprehensive life cycle assessment of energy storage technologies is carried out from four dimensions: technical performance, economic cost, safety assessment, and environmental impact. Moreover, the suitable scenarios and application functions of various energy storage technologies on the power generation side, grid side, and user side are compared and analyzed from the working principle, key technologies, advantages and disadvantages, and technical difficulties of energy storage technologies. Finally, combined with the energy storage technologies in the electricity market, four profit models are analyzed.

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“…This is usually carried out with an aging model. There are many aging models available in the literature [12,13]. The accuracy of the model itself will lead to a lower or a higher uncertainty on the actual warranty definition (and more or fewer problems on the given warranty), but all of them are suitable options because they describe the aging behavior, i.e., what this study needs.…”

mentioning

confidence: 99%

Development of the State of Warranty (SOW) for Electric Vehicles

Arrinda

Sanchéz

Oyarbide

et al. 2022

WEVJ

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There is an exponential increase in electric vehicles on the road that need a follow up in terms of warranty. The proposed state of warranty (SOW) is a metastate that qualitatively describes the warranty fulfillment level of an electric vehicle. All the relevant warranty information is synthesized in a single merit while maintaining the level of detail through the qualitative substates. The developed SOW is calculated with a rule-based logic of an expert system that evaluates the quantitative value of three substates: the remaining warranty, the remaining health and the remaining useful warranty. The SOW provides a synthesized and user-friendly description of the warranty fulfillment state while providing quantitative detailed information of the most relevant features of each of the different maintenance methodologies.

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Levelized cost of electricity calculation of the energy generation plant of a CO2 neutral micro-grid

Cited by 14 publications

References 21 publications

Surrogate Model of the Optimum Global Battery Pack Thermal Management System Control

Surrogate Model of the Optimum Global Battery Pack Thermal Management System Control

Life Cycle Assessment of Energy Storage Technologies for New Power Systems under Dual‐Carbon Target: A Review

Development of the State of Warranty (SOW) for Electric Vehicles

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