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Special Issue "Automation Control and Energy Efficiency in Complex Systems"

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

Deadline for manuscript submissions: 15 October 2018

Special Issue Editor

Guest Editor
Dr. Hamid Khayyam

Department of Mechanical and Automotive Engieering, School of Engieering, RMIT University, Austrilia
Website | E-Mail
Interests: Modelling; Dynamic Systems and Control; Optimization of Complex Energy Systems

Special Issue Information

Dear Colleagues,

Each year, around the world, a massive amount of energy is wasted through inefficient technologies, leading to an increase in greenhouse gas emissions.

Energy efficiency is an effective approach to improve energy consumption, as well reducing energy costs for consumers.

It is well established that engineering systems are often complex, uncertain, and nonlinear. These complex systems are in great need of computation and their processing has led to the use of automation control. As such, the energy efficiency of complex systems is of great importance and is the topic of discussion for this Special Issue.

The Special Issue aims to be a leading peer-reviewed platform and surveys the state-of-the-art and modern automation control techniques, and optimization algorithms, which are deployed to achieve complex energy efficiency. The Special Issue covers research on energy analysis, energy modelling and prediction, integrated energy systems, energy planning, and energy management to improve energy efficiency. In addition, papers are welcome on other related topics, such as renewable energy, electricity supply and demand, bioenergy, robot, vehicle, energy storage, energy conservation, energy in buildings, industrial and residential within the context of the broader automation control and energy efficiency.

Dr. Hamid Khayyam
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 monthly 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

  • Modern energy efficiency techniques
  • Vehicle/Robot energy efficiency
  • Intelligent control of energy systems
  • Big\limited data modelling of complex energy system
  • Process optimization
  • Energy storage, conservation, buildings, industrial and residential

Published Papers (3 papers)

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Research

Open AccessArticle Lighting Control Including Daylight and Energy Efficiency Improvements Analysis
Energies 2018, 11(8), 2166; https://doi.org/10.3390/en11082166
Received: 26 July 2018 / Revised: 13 August 2018 / Accepted: 16 August 2018 / Published: 19 August 2018
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Abstract
Energy used for lighting is one of the major components of total energy consumption in buildings. Nowadays, buildings have a great potential to reduce their energy consumption, but to achieve this purpose additional efforts are indispensable. In this study, the need for energy
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Energy used for lighting is one of the major components of total energy consumption in buildings. Nowadays, buildings have a great potential to reduce their energy consumption, but to achieve this purpose additional efforts are indispensable. In this study, the need for energy savings evaluation before the implementation of lighting control algorithms for a specified building is highlighted. Therefore, experimental tests have been carried out in a university building with laboratories and other rooms, equipped with KNX building automation system. A dimmable control strategy has been investigated, dependent on daylight illuminance. Moreover, a relationship between external and internal daylight illuminance levels has been evaluated as well. Based on the experimental results, the authors proposed a method for the rough estimation of electrical energy savings. Since, according to the EN 15232 standard, Building Automation and Control Systems (BACS) play an important role in buildings’ energy efficiency improvements, the BACS efficiency factors from this standard have been used to verify the experimental results presented in the paper. The potential to reduce energy consumption from lighting in non-residential buildings by 28% for offices and 24% for educational buildings has been confirmed, but its dependence on specific building parameters has been discussed as well. Full article
(This article belongs to the Special Issue Automation Control and Energy Efficiency in Complex Systems)
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Open AccessArticle An Adaptive-Equivalent Consumption Minimum Strategy for an Extended-Range Electric Bus Based on Target Driving Cycle Generation
Energies 2018, 11(7), 1805; https://doi.org/10.3390/en11071805
Received: 5 June 2018 / Revised: 2 July 2018 / Accepted: 7 July 2018 / Published: 10 July 2018
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Abstract
Energy management strategies based on instantaneous optimization have been widely used in hybrid/plug-in hybrid electric vehicles (HEV/PHEV) in order to improve fuel economy while guaranteeing vehicle performance. In this study, an adaptive-equivalent consumption minimum strategy (A-ECMS) based on target driving cycle (TDC) generation
[...] Read more.
Energy management strategies based on instantaneous optimization have been widely used in hybrid/plug-in hybrid electric vehicles (HEV/PHEV) in order to improve fuel economy while guaranteeing vehicle performance. In this study, an adaptive-equivalent consumption minimum strategy (A-ECMS) based on target driving cycle (TDC) generation was proposed for an extended-range electric bus (E-REB) operating on fixed routes. Firstly, a Hamilton function and a co-state equation for E-REB were determined according to the Pontryagin Minimum Principle (PMP). Then a series of TDCs were generated using Markov chain, and the optimal solutions under different initial state of charges (SOCs) were obtained using the PMP algorithm, forming the optimal initial co-state map. Thirdly, an adaptive co-state function consisting of fixed and dynamic terms was designed. The co-state map was interpolated using the initial SOC data and the vehicle driving data obtained by an Intelligent Transport System, and thereby the initial co-state values were solved and used as the fixed term. A segmented SOC reference curve was put forward according to the optimal SOC changing curves under different initial SOCs solved by using PMP. The dynamic term was determined using a PI controlling method and by real-time adjusting the co-states to follow the reference curve. Finally with the generated TDCs, the control effect of A-ECMS was compared with PMP and Constant-ECMS, which was showed A-ECMS provided the final SOC closer to the pre-set value and fully used the power of the batteries. The oil consumption solutions were close to the PMP optimized results and thereby the oil depletion was reduced. Full article
(This article belongs to the Special Issue Automation Control and Energy Efficiency in Complex Systems)
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Open AccessArticle A Pathway to Reduce Energy Consumption in the Thermal Stabilization Process of Carbon Fiber Production
Energies 2018, 11(5), 1145; https://doi.org/10.3390/en11051145
Received: 11 April 2018 / Revised: 3 May 2018 / Accepted: 3 May 2018 / Published: 4 May 2018
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Abstract
Process parameters, especially in the thermal stabilization of polyacrylonitrile (PAN) fibers, play a critical role in controlling the cost and properties of the resultant carbon fibers. This study aimed to efficiently handle the energy expense areas during carbon fiber manufacturing without reducing the
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Process parameters, especially in the thermal stabilization of polyacrylonitrile (PAN) fibers, play a critical role in controlling the cost and properties of the resultant carbon fibers. This study aimed to efficiently handle the energy expense areas during carbon fiber manufacturing without reducing the quality of carbon fibers. We introduced a new parameter (recirculation fan frequency) in the stabilization stage and studied its influence on the evolution of the structure and properties of fibers. Initially, the progress of the cyclization reaction in the fiber cross-sections with respect to fan frequencies (35, 45, and 60 Hz) during stabilization was analyzed using the Australian Synchrotron-high resolution infrared imaging technique. A parabolic trend in the evolution of cyclic structures was observed in the fiber cross-sections during the initial stages of stabilization; however, it was transformed to a uniform trend at the end of stabilization for all fan frequencies. Simultaneously, the microstructure and property variations at each stage of manufacturing were assessed. We identified nominal structural variations with respect to fan frequencies in the intermediate stages of thermal stabilization, which were reduced during the carbonization process. No statistically significant variations were observed between the tensile properties of fibers. These observations suggested that, when using a lower fan frequency (35 Hz), it was possible to manufacture carbon fibers with a similar performance to those produced using a higher fan frequency (60 Hz). As a result, this study provided an opportunity to reduce the energy consumption during carbon fiber manufacturing. Full article
(This article belongs to the Special Issue Automation Control and Energy Efficiency in Complex Systems)
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