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Special Issue "Selected Papers from IEEE ICKII 2018"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (31 December 2018)

Special Issue Editors

Guest Editor
Prof. Dr. Teen-Hang Meen

Department of Electronic Engineering, National Formosa University, Yunlin 632, Taiwan
Website | E-Mail
Guest Editor
Prof. Dr. Wenbing Zhao

Department of Electrical Engineering and Computer Science, Cleveland State University, Ohio, 44011, USA
Website 1 | Website 2 | E-Mail
Interests: human–computer interactions; rehabilitation; computer vision; distributed systems

Special Issue Information

Dear Colleagues,

The 1st IEEE International Conference on Knowledge Innovation and Invention 2018 (IEEE ICKII 2018) will be held on Jeju Island, South Korea, 23–27 July, 2018, and it will provide a unified communication platform for researchers on the topics of information technology, innovation design, communication science and engineering, industrial design, creative design, applied mathematics, computer science, electrical and electronic engineering, mechanical and automation engineering, green technology and architecture engineering, material science and other related fields. This Special Issue on “Selected Papers from IEEE ICKII 2018” is expected to select excellent papers presented at IEEE ICKII 2018 on the topic of energies. This Special Issue provides related scientific research, technology development and policy and management studies. It publishes reviews and regular research papers. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Full experimental details must be provided so that the results can be reproduced. We invite investigators to contribute original research articles, as well as review articles, to this Special Issue. Potential topics include, but are not limited to:

  • Energy Fundamentals
  • Primary Energy Sources
  • Secondary Energy Sources and Energy Carriers
  • Energy Exploration
  • Intermediate and Final Energy Use
  • Energy Conversion Systems
  • Energy Policy
  • Exergy
  • Energetics
  • Energy Research and Development

Prof. Dr. Teen­-Hang Meen
Prof. Dr. Wenbing Zhao
Guest Editor

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 papers will be 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. Energies is an international peer-reviewed open access bimonthly 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 1800 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.

Published Papers (3 papers)

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Research

Open AccessArticle Flow and Temperature Characteristics of a 15° Backward-Inclined Jet Flame in Crossflow
Energies 2019, 12(1), 132; https://doi.org/10.3390/en12010132
Received: 10 November 2018 / Revised: 24 December 2018 / Accepted: 26 December 2018 / Published: 31 December 2018
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Abstract
The flow and flame characteristics of a 15° backward-inclined jet flame in crossflow were investigated in a wind tunnel. The flow structures, flame behaviors, and temperature fields were measured. The jet-to-crossflow momentum flux ratio was less than 7.0. The flow patterns were investigated
[...] Read more.
The flow and flame characteristics of a 15° backward-inclined jet flame in crossflow were investigated in a wind tunnel. The flow structures, flame behaviors, and temperature fields were measured. The jet-to-crossflow momentum flux ratio was less than 7.0. The flow patterns were investigated using photography and Mie-scattering techniques. Meanwhile, the velocity fields were observed using particle image velocimetry techniques, whereas the flame behaviors were studied using photographic techniques. The flame temperatures were probed using a fine-wire R-type thermocouple. Three flame modes were identified: crossflow dominated flames, which were characterized by a blue flame connected to a down-washed yellow recirculation flame; transitional flames identified by a yellow recirculation flame and an elongated yellow tail flame; and detached jet dominated flames denoted by a blue flame base connected to a yellow tail flame. The effect of the flow characteristics on the combustion performance in different flame regimes is presented and discussed. The upwind shear layer of the bent jet exhibited different coherent structures as the jet-to-crossflow momentum flux ratio increased. The transitional flames and detached jet dominated flames presented a double peak temperature distribution in the symmetry plane at x/d = 60. The time-averaged velocity field of the crossflow dominated flames displayed a standing vortex in the wake region, whereas that of the detached jet dominated flames displayed a jet-wake vortex and a wake region source point. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018)
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Open AccessArticle Communication Performance Assessment for Advanced Metering Infrastructure
Energies 2019, 12(1), 88; https://doi.org/10.3390/en12010088
Received: 28 November 2018 / Revised: 24 December 2018 / Accepted: 25 December 2018 / Published: 28 December 2018
PDF Full-text (13135 KB) | HTML Full-text | XML Full-text
Abstract
Advanced Metering Infrastructure (AMI), the foundation of smart grids, can be used to provide numerous intelligent power applications and services based on the data acquired from AMI. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs) is one
[...] Read more.
Advanced Metering Infrastructure (AMI), the foundation of smart grids, can be used to provide numerous intelligent power applications and services based on the data acquired from AMI. Effective and efficient communication performance between widely-spread smart meters and Data Concentrator Units (DCUs) is one of the most important issues for the successful deployment and operation of AMI and needs to be further investigated. This paper proposes an effective Communication Performance Index (CPI) to assess and supervise the communication performance of each smart meter. Some communication quality measurements that can be easily acquired from a smart meter such as reading success rate and response time are used to design the proposed CPI. Fuzzy logic is adopted to combine these measurements to calculate the proposed CPI. The CPIs for communication paths, DCUs and whole AMI can then be derived from meter CPIs. Simulation and experimental results for small-scale AMIs demonstrate the validity of the proposed CPI. Through the calculated CPIs, the communication performance and stability for AMI can be effectively assessed and supervised. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018)
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Open AccessArticle Online Speed Estimation Using Artificial Neural Network for Speed Sensorless Direct Torque Control of Induction Motor based on Constant V/F Control Technique
Energies 2018, 11(8), 2176; https://doi.org/10.3390/en11082176
Received: 9 August 2018 / Revised: 15 August 2018 / Accepted: 19 August 2018 / Published: 20 August 2018
Cited by 1 | PDF Full-text (5205 KB) | HTML Full-text | XML Full-text
Abstract
This paper presents the speed estimator for speed sensorless direct torque control of a three-phase induction motor based on constant voltage per frequency (V/F) control technique, using artificial neural network (ANN). The estimated stator current equation is derived and rearranged consistent with the
[...] Read more.
This paper presents the speed estimator for speed sensorless direct torque control of a three-phase induction motor based on constant voltage per frequency (V/F) control technique, using artificial neural network (ANN). The estimated stator current equation is derived and rearranged consistent with the control algorithm and ANN structure. For the speed estimation, a weight in ANN, which relates to the speed, is adjusted by using Widrow–Hoff learning rule to minimize the sum of squared errors between the measured stator current and the estimated stator current from ANN output. The consequence of using this method leads to the ability of online speed estimation and simple ANN structure. The simulation and experimental results in high- and low-speed regions have confirmed the validity of the proposed speed estimation method. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018)
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