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Special Issue "Selected Papers from 5th International Conference on Power and Energy Systems Engineering (CPESE 2018)"

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

Deadline for manuscript submissions: closed (31 December 2018)

Special Issue Editor

Guest Editor
Prof. Toshihisa Funabashi

EcoTopia Science Institute, University of the Ryukyus, Nagoya, Japan
Website | E-Mail

Special Issue Information

Dear Colleagues,

The 2018 5th International Conference on Power and Energy Systems Engineering (CPESE 2018 was held at Nagoya University, Japan, from 19–21 September 2018. CPESE is the premier power and energy systems engineering conference, providing a forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, experiences and concerns in the field of power and energy systems engineering.

The primary focus of the conference is on new and original research results in the areas of theoretical findings, design, implementation, and applications. Both theoretical papers and simulation (experimental) results are welcome. Topics of interest include, but are not limited to, the following:

  • Power Transmission and Distribution
  • Power System Control and Stability
  • High Voltage Engineering
  • Lightning Protection
  • Insulation Technology
  • Electrical Machinery
  • Power Electronics
  • Power Engineering Education
  • Electric Drives
  • Power Quality
  • Renewable Power Generation
  • Smart Grid
  • Distributed Generation
  • Electric Vehicles
  • Active Filters
  • Industrial Power Systems
  • Green Facilities and Industries
  • Green Telecommunication
  • Electromagnetic Compatibility
  • Alternative Energy and the Environment
  • Energy Conservation
  • Energy Conversion
  • Fuel Cell Technology
  • Plasma Technology
  • Renewable Energy Sources
  • Solar Energy
  • Water Energy
  • Wind Energy
  • Power Transmission and Generation
  • Converters and Inverters
  • Nanosatellite Missions and Technology
  • Grounding and Protection Systems
  • HV Power Lines
  • Network Harmonics
  • Nuclear Energy
  • Power Distribution
  • Power Flow Analysis
  • Power Quality
  • Power System Design
  • Power System Operation
  • Power System Planning
  • Power System Stability and Control
  • Reliability and Security
  • Regulations, Management, and Economics
  • Breakdown Impacts
  • Computer Applications and Software Development
  • Demand Management
  • Electricity Power Pools
  • Energy Management Systems
  • Energy Policies and Regulation
  • Energy Pricing
  • Forecasting
  • Global Restructuring
  • Investment Coordination
  • Optimization Techniques
  • Power Economics
  • Power Engineering and Education
  • Power Market Deregulation
  • Power System Planning
  • Pricing Policies
  • Problems of the Power Industry
  • Retail Power Markets

Prof. Toshihisa Funabashi
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 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 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 (2 papers)

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Research

Open AccessArticle Community-Led Micro-Hydropower Development and Landcare: A Case Study of Networking Activities of Local Residents and Farmers in the Gokase Township (Japan)
Energies 2019, 12(6), 1033; https://doi.org/10.3390/en12061033
Received: 31 December 2018 / Revised: 28 February 2019 / Accepted: 10 March 2019 / Published: 16 March 2019
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Abstract
This paper aims at clarifying the determinants that promote the community-based renewable energy development in Japan, with a special focus on micro and small hydropower. This paper analyzes a case study of the social enterprise that was established by the local residents and [...] Read more.
This paper aims at clarifying the determinants that promote the community-based renewable energy development in Japan, with a special focus on micro and small hydropower. This paper analyzes a case study of the social enterprise that was established by the local residents and farmers in the Gokase Township, the purpose of which is to install and develop community-based renewable energy. To analyze the case study, we adopt the framework of the Landcare approach. The Landcare approach can be characterized by the following guiding principles: (1) a strong community initiative guided by local residents and primary producers; (2) a focus on local problems; (3) a holistic and integrated approach to tackling problems; (4) stress on community well-being; and (5) partnership and networking. There are similarities between the Gokase Research Institute of Renewable Energy (GRIRE) and Landcare in that they both focus on local issues that can be tackled by local citizens and take a holistic approach that includes not only hydropower development but also improvement in community well-being. This paper examines the fitness of each principle and reveals that all of them fit fairly well with the case of micro-hydropower development in Gokase. This implies that micro-hydropower development in Gokase can be qualitatively evaluated as sustainable from the perspective of Sustainable Development theory. Full article
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Open AccessArticle Fuzzy Rule-Based and Particle Swarm Optimisation MPPT Techniques for a Fuel Cell Stack
Energies 2019, 12(5), 936; https://doi.org/10.3390/en12050936
Received: 2 January 2019 / Revised: 4 February 2019 / Accepted: 5 February 2019 / Published: 11 March 2019
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Abstract
The negative environmental impact and the rapidly declining reserve of fossil fuel-based energy sources for electricity generation is a big challenge to finding sustainable alternatives. This scenario is complicated by the ever-increasing world population growth demanding a higher standard of living. A fuel [...] Read more.
The negative environmental impact and the rapidly declining reserve of fossil fuel-based energy sources for electricity generation is a big challenge to finding sustainable alternatives. This scenario is complicated by the ever-increasing world population growth demanding a higher standard of living. A fuel cell system is able to generate electricity and water with higher energy efficiency while producing near-zero emissions. A common fuel cell stack displays a nonlinear power characteristic as a result of internal limitations and operating parameters such as temperature, hydrogen and oxygen partial pressures and humidity levels, leading to a reduced overall system performance. It is therefore important to extract as much power as possible from the stack, thus hindering excessive fuel use. This study considers and compares two Maximum Power Point Tracking (MPPT) approaches; one based on the Mamdani Fuzzy Inference System and the other on the Particle Swarm Optimisation (PSO) algorithm to maintain the output power of a fuel cell stack extremely close to its maximum. To ensure that, the power converter interfaced to the fuel cell unit must be able to continuously self-modify its parameters, hence changing its voltage and current depending upon the Maximum Power Point position. While various methods exist for Maximum Power Point tracker design, this paper analyses the response characteristics of a Mamdani Fuzzy Inference Engine and the Particle Swarm Optimisation technique. The investigation was conducted on a 53 kW Proton Exchange Membrane Fuel Cell interfaced to a DC-to-DC boost converter supplying 1.2 kV from a 625 V input DC voltage. The modelling was accomplished using a Matlab/Simulink environment. The results showed that the MPPT controller based on the PSO algorithm presented better tracking efficiency as compared to the Mamdani controller. Furthermore, the rise time of the PSO controller was slightly shorter than the Mamdani controller and the overshoot of the PSO controller was 2% lower than that of the Mamdani controller. Full article
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