Computation and Design of Renewable Energy Systems

A special issue of Vibration (ISSN 2571-631X).

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 5973

Special Issue Editors


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Guest Editor
1. Precision Engineering Research Group (PERG), Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
2. Currently a Physical Modeling Library Developer at The Mathworks, Natick, MA 01760, USA
Interests: computation; model order reduction; nonlinear dynamics; structural dynamics; wind turbines; wave energy converters; machine learning; design

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Co-Guest Editor
School of Engineering, Manchester Metropolitan University, Manchester M15 6BH, UK
Interests: characterisation of vibration and acoustics; wind turbines and rotating machinery condition monitoring methods; fracture in composite materials; smart sensing nodes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Addressing climate change by achieving country-wide net-zero emission energy supply and vehicle fleets within 30 years presents both a tremendous engineering challenge and innovation opportunity. A significant part of this energy revolution is designing structures for power generation and transportation that are lightweight, durable, power-efficient, and cost-efficient.

Vibration response is a critical element of structural design and overall machine performance. This Special Issue focuses on the role of modeling and computation in understanding the behavior of and optimizing designs for machine vibration.

Vibrating machine design and operation challenges encompass cost-performance tradeoffs and the need for adaptability to time-varying environmental characteristics. Computational techniques enable fundamental understanding and optimization of complex system vibrations. These computational approaches need to balance model fidelity with computational efficiency, sufficiently explore structural, and controller design spaces during the design stage, and reliably monitor machine health during the operation stage.

This Special Issue of Vibration is to assemble papers that encompass recent advances in computational modeling and optimization for renewable energy machines and vehicle vibration response.

The Special Issue will cover a range of topics including but not limited to the following:

Machine design applications:

  • Lightweight, efficient, and durable structural design in the presence of environmental vibrations.
  • Robust and adaptive control for vibration.
  • Emerging machine learning techniques for monitoring machine health (Industry 4.0).
  • Renewable energy and zero-emission machines.
  • Solutions for vibration mitigation or power maximization in renewable energy machines.
  • Cost analysis.
  • Experimental verification.

Modeling and computational approaches:

  • Computational methods for accurate real-time simulation of structural vibrations.
  • Model order reduction.
  • Methods for predicting lifetime performance statistics.
  • Optimization.
  • Machine learning approaches for design or predictive maintenance.
  • Digital twin.
  • Generative design.
  • Design support system.

Dr. Jocelyn M. Kluger
Prof. Dr. Alhussein Albarbar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vibration is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • renewable energy
  • wave energy converters
  • wind turbines
  • lightweight vehicle structures
  • computationally efficient modeling
  • reduced-order modeling
  • design
  • optimization
  • vibration mitigation
  • vibration control
  • machine learning
  • predictive maintenance
  • structural health monitoring

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Published Papers (2 papers)

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Research

23 pages, 3530 KiB  
Article
Speed-Dependent Eigenmodes for Efficient Simulation of Transverse Rotor Vibration
by Jocelyn Kluger, Lynn Crevier and Martin Udengaard
Vibration 2022, 5(4), 732-754; https://doi.org/10.3390/vibration5040043 - 31 Oct 2022
Cited by 1 | Viewed by 1840
Abstract
Accurate, computationally efficient simulations enable engineers to design high-performing, cost-efficient, lightweight machines that can leverage models of predictive controls and digital twin predictive maintenance schedules. This study demonstrates a new speed-dependent eigenmode method for accurately and efficiently simulating shaft transverse vibrations. The method [...] Read more.
Accurate, computationally efficient simulations enable engineers to design high-performing, cost-efficient, lightweight machines that can leverage models of predictive controls and digital twin predictive maintenance schedules. This study demonstrates a new speed-dependent eigenmode method for accurately and efficiently simulating shaft transverse vibrations. The method involves first independently computing shaft eigenmodes over a range of operating speeds, then correlating the eigenmodes across the different speeds during compilation, and finally adjusting modal properties gradually in accordance with a lookup method during simulation. The new method offers several distinct advantages over the traditional static eigenmodes and Craig-Bampton methods. The new method maintains accuracy over a large range of shaft rotation speeds whereas the static eigenmodes method does not. The new method typically requires fewer modal degrees of freedom than the Craig-Bampton method. Whereas the Craig-Bampton method is limited to modeling changes at the boundaries, the new method is suitable for modeling changing body properties as well as boundary-based changes. For this paper, a fluid-bearing-supported 10 MW direct-drive wind turbine drive shaft is tested virtually in a simulation model developed in Simscape™ Driveline™. Using the simulation statistics, this study compares the accuracy and computational efficiency of the speed-dependent eigenmode method to the traditional finite lumped element, static eigenmode, and Craig–Bampton methods. This paper shows that the new method simulates the chosen system 5 times faster than the traditional lumped mass method and 2.4 times faster than the Craig-Bampton method. Full article
(This article belongs to the Special Issue Computation and Design of Renewable Energy Systems)
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12 pages, 4279 KiB  
Article
Practical Modal Analysis of a Prototyped Hydrogenerator
by Allan de Barros, Ahmed Galai, Amir Ebrahimi and Babette Schwarz
Vibration 2021, 4(4), 853-864; https://doi.org/10.3390/vibration4040048 - 10 Nov 2021
Cited by 8 | Viewed by 3285
Abstract
The vibration on the stator core of hydrogenerators caused by electromagnetic forces is an important factor affecting the reliability and long-lasting operation of a machine. For a suitable addressment of the problem, it is necessary to accurately predict the eigenmodes and eigenfrequencies of [...] Read more.
The vibration on the stator core of hydrogenerators caused by electromagnetic forces is an important factor affecting the reliability and long-lasting operation of a machine. For a suitable addressment of the problem, it is necessary to accurately predict the eigenmodes and eigenfrequencies of the mechanical system. However, different results for the eigenfrequencies can be achieved depending on the applied model and material parameters. This work contributes to solving this issue by investigating the impact of different input parameters on the eigenmodes and eigenfrequencies calculated by analytical and numerical models. The results are discussed and compared to measurements performed on a prototyped 732 kVA hydrogenerator. Full article
(This article belongs to the Special Issue Computation and Design of Renewable Energy Systems)
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