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Selected Papers from TIKI ICICE 2018

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

Deadline for manuscript submissions: closed (31 March 2019) | Viewed by 7687

Special Issue Editors

Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan
Interests: optical and electronic devices; semi-conductive materials; nanotechnology
Special Issues, Collections and Topics in MDPI journals
Department of Electronic Engineering, National United University, Miaoli City 36063, Taiwan
Interests: semiconductor physics; optoelectronic devices; nanotechnology
Special Issues, Collections and Topics in MDPI journals
Dr. Stephen D. Prior
E-Mail Website
Guest Editor
Aeronautics, Astronautics and Computational Engineering, University of Southampton, Southampton SO16 7QF, UK
Interests: microsystem design; nanotechnology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 2018 International Conference on Innovation, Communication, and Engineering (TIKI ICICE 2018, http://2018.icice.asia/) will be held in Hangzhou, Zhejiang Province, P. R. China on November 9–14, 2018, and will provide a unified communication platform for a wide range of topics. This Special Issue of Energies entitled “Selected Papers from TIKI ICICE 2018” 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. The full experimental details must be provided so that the results can be reproduced.

This Special Issue selects excellent papers from TIKI ICICE 2018. 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, the following:

  • 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. Shoou-Jinn Chang
Prof. Dr. Sheng-Joue Young
Dr. Stephen D. Prior
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. Energies is an international peer-reviewed open access semimonthly 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 2600 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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20 pages, 2906 KiB  
Article
Multi-Objective Optimal Cloud Model Design of Vehicle-to-Grid Connected Systems Based on the Multiple Performance Characteristic Index Method
Energies 2019, 12(6), 1041; https://doi.org/10.3390/en12061041 - 18 Mar 2019
Viewed by 1784
Abstract
In this paper, a statistical cloud model was proposed for optimal design of the proportional integral derivative (PID) controllers used in current control of vehicle-to-grid connected inverter systems with PID parameters. By collecting the effective control factors and noise factors from a cloud [...] Read more.
In this paper, a statistical cloud model was proposed for optimal design of the proportional integral derivative (PID) controllers used in current control of vehicle-to-grid connected inverter systems with PID parameters. By collecting the effective control factors and noise factors from a cloud data base, the cloud model can minimize both the reactive power and the total harmonic distortion for the single-phase full-bridge vehicle-to-grid connected system. The multi-objective optimal solution is obtained by using statistical fuzzy-based response surface methodology with multiple performance characteristics index. The testing results showed the validity of the proposed cloud model. It is verified that the statistical cloud model can increase the performance of the single-phase full-bridge vehicle-to-grid connected system in practical vehicle-to-grid applications in the Internet of Things. Full article
(This article belongs to the Special Issue Selected Papers from TIKI ICICE 2018)
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12 pages, 1762 KiB  
Article
Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading
Energies 2019, 12(4), 622; https://doi.org/10.3390/en12040622 - 15 Feb 2019
Cited by 16 | Viewed by 2406
Abstract
In Taiwan, over 45% of the energy in common buildings is used for the air-conditioning system. In particular, the chiller plant consumes about 70% of the energy in air-conditioning system. The electric energy consumption of air-condition system in a clean room of semiconductor [...] Read more.
In Taiwan, over 45% of the energy in common buildings is used for the air-conditioning system. In particular, the chiller plant consumes about 70% of the energy in air-conditioning system. The electric energy consumption of air-condition system in a clean room of semiconductor factory is about 5–10 times of that in a common building. Consequently, the optimal chiller loading in energy saving of building is a vital issue. This paper develops a new algorithm to solve optimal chiller loading (OCL) problems. The proposed two-stage differential evolution algorithm integrated the advantages of exploration (global search) in the modified binary differential evolution (MBDE) algorithm and exploitation (local search) in the real-valued differential evolution (DE) algorithm for finding the optimal solution of OCL problems. In order to show the performance of the proposed algorithm, comparison with other optimization methods has been done and analyzed. The result shows that the proposed algorithm can obtain similar or better solution in comparison to previous studies. It is a promising approach for the OCL problem. Full article
(This article belongs to the Special Issue Selected Papers from TIKI ICICE 2018)
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10 pages, 2802 KiB  
Technical Note
A Mutual Blocking Technology Applied to Dual Power Source Switching Control
Energies 2019, 12(4), 576; https://doi.org/10.3390/en12040576 - 13 Feb 2019
Cited by 1 | Viewed by 2985
Abstract
In many industries and medical power system applications, dual power source design is often used to ensure that the equipment runs continuously, even when the main power supply is shut down. However, the voltage feedback between two independent power supplies and low loss [...] Read more.
In many industries and medical power system applications, dual power source design is often used to ensure that the equipment runs continuously, even when the main power supply is shut down. However, the voltage feedback between two independent power supplies and low loss output are critical issues for the system energy dissipation. Without using a dedicated chip, a new mutual blocking control technology is proposed in this paper to effectively solve the problem of voltage feedback existing in the conventional dual power system. In addition, without adding much hardware cost, the proposed dual power switch design can completely avoid voltage feedback and achieve a low voltage loss of about 30 mV when the load current is less than 0.5 A. Full article
(This article belongs to the Special Issue Selected Papers from TIKI ICICE 2018)
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