MV Cable Modeling for Application in the Digital Twin of a Windfarm

Oñederra, O.; Asensio, F.J.; Eguia, P.; Perea, E.; Pujana, Ainhoa; Martinez, Leonel Noris

doi:10.1109/iccep.2019.8890166

Cited by 14 publications

(8 citation statements)

References 8 publications

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“…Therefore, digital twins are key enablers for the integration of renewable energy sources in smart grids, as they can predict, monitor, control, and diagnose energy supply [26]. Another application of digital twins is the monitorization of renewable energy generators as both physical damage and performance can be forecasted and modeled [27][28][29][30][31].…”

Section: The Effect Of Digitalization On the Renewable Energy Sectormentioning

confidence: 99%

Definition of the Future Skills Needs of Job Profiles in the Renewable Energy Sector

et al. 2021

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The growth of the renewable energy industry is happening at a swift pace pushed, by the emergence of Industry 4.0. Smart technologies like artificial intelligence (AI), Big Data, the Internet of Things (IoT), Digital Twin (DT), etc. enable companies within the sector of renewable energies to drastically improve their operations. In this sectoral context, where upgraded sustainability standards also play a vital role, it is necessary to fulfil the human capital requirements of the imminent technological advances. This article aims to determine the current skills of the renewable energy industry workforce and to predict the upcoming skill requirements linked to a digital transition by creating a unified database that contains both types of skills. This will serve as a tool for renewable energy businesses, education centers, and policymakers to plan the training itinerary necessary to close the skills gap, as part of the sectoral strategy to achieve a competent future workforce.

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Section: The Effect Of Digitalization On the Renewable Energy Sectormentioning

confidence: 99%

Definition of the Future Skills Needs of Job Profiles in the Renewable Energy Sector

et al. 2021

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“…There are few status parameters monitored in turbomachinery operation with limited measurement positions, such as flow, speed, pressure, and heat flux density. Therefore, more online monitoring technologies should be introduced to collect the status parameters of systems such as wind farms [86], crucial parts of devices such as steam turbines at high frequency, stress distribution, deformation, air velocity, temperature [87], and crack formation.…”

Section: Sensors and Industrial Internet Of Thingsmentioning

confidence: 99%

Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review

et al. 2021

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Turbomachinery from a life cycle perspective involves sustainability-oriented development activities such as design, production, and operation. Digital Twin is a technology with great potential for improving turbomachinery, which has a high volume of investment and a long lifespan. This study presents a general framework with different digital twin enabling technologies for the turbomachinery life cycle, including the design phase, experimental phase, manufacturing and assembly phase, operation and maintenance phase, and recycle phase. The existing digital twin and turbomachinery are briefly reviewed. New digital twin technologies are discussed, including modelling, simulation, sensors, Industrial Internet of Things, big data, and AI technologies. Finally, the major challenges and opportunities of DT for turbomachinery are discussed.

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“…After a change in load, the hot-spot temperature reaches the ultimate hot-spot temperature if it is allowed to stabilize. Momentary values of hot-spot temperature at any time during load change ∆ , can be calculated by (4).…”

Section: Thermal Modelling Of Dry-type Transformersmentioning

confidence: 99%

“…In this project, a digital twin of a wind farm is being developed based on the individual models of the different electrical components i.e. generators, power converter, WTSU transformers and MV cable [4]. In this context, the present paper describes a dry-type WTSU thermal modelling and RUL estimation.…”

Section: Introductionmentioning

confidence: 99%

Study of Useful Life of Dry-Type WTSU Transformers

Etxegarai¹,

Valverde²,

Eguia³

et al. 2020

REPQJ

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Dry-type transformers are rapidly becoming popular as wind turbine step-up (WTSU) transformers, especially in offshore wind farms. Cast resin transformers are not flammable and are also resistant to moisture. However, their thermalelectrical degradation must be carefully analysed given the special conditions of wind farm installations. The present paper studies the remaining useful life (RUL) calculation of dry-type WTSU transformers based on the most thermally stressed location i.e. the winding hot-spot. The estimation of the loss of life of the transformer can be used for diagnostic and prognostic monitoring purposes in the framework of digital twins. The methodology is then applied to a typical WTSU load profile and the impact of several transformer characteristics and operating conditions are compared to the reference case.

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MV Cable Modeling for Application in the Digital Twin of a Windfarm

Cited by 14 publications

References 8 publications

Definition of the Future Skills Needs of Job Profiles in the Renewable Energy Sector

Definition of the Future Skills Needs of Job Profiles in the Renewable Energy Sector

Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review

Study of Useful Life of Dry-Type WTSU Transformers

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