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Energy-Efficient Systems and Networks

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (28 June 2023) | Viewed by 5746

Special Issue Editors


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Guest Editor
Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland
Interests: optimization; resource allocation; scheduling; power- and energy-aware systems and networks; quantum computing

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Guest Editor
Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland
Interests: scheduling; green computing; power- and energy-aware systems and networks; combinatorial optimization; metaheuristics; quantum computing

E-Mail Website
Guest Editor
Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland
Interests: IoT; intelligent control systems; low-energy wireless networks; energy management in intelligent buildings; smart cities

Special Issue Information

Dear Colleagues,

Energy is one of the most important resources in the modern world. Power- and energy-aware systems and networks have attracted the attention of researchers and practitioners for the few last decades. In fact, all situations where vehicles, devices, machines, etc. are supplied from a common electric power source can be considered here. Better efficiency of systems powered by electrical energy may be achieved in various ways, for example by developing energy-efficient production technologies or improving the management of existing systems. Power can be considered as a limited resource, such that the processing time and/or speed depend on the amount of resource allotted to a job. A special feature of this resource is that it can be allotted to a job in an arbitrary (not necessarily discrete) amount. Another important observation is that power can be modelled as a doubly constrained resource, whose consumption over time is represented by energy. This means that there are limits on both instantaneous and total power consumption. Under such assumptions basically two types of optimization problems are considered: minimization of a scheduling objective subject to given resource availability or minimization of power/energy consumption subject to defined scheduling requirements.

At present, when electric vehicles, cars, flying objects (e.g., drones), etc. are becoming increasingly present in our lives, the energy-efficient management of systems and networks of various types becomes a problem of huge importance. This is related, for example, to problems of charging such units in environments of limited power, energy, or both. As an example, we can imagine a process of charging a set of batteries from a common electric power source, where each battery may have a different characteristic (capacity, initial power demand, power vs. time charging function, etc.). Many various optimization models for such real-life situations can be developed and then practically applied.

Additionally, in environments of different types of networks (communication, computer, sensor networks, etc.), energy efficiency becomes an increasingly important topic. Optimal energy flow management requires the metering of each source and energy consumer. The metering system is distributed, and devices are often several kilometers apart. A good solution for obtaining measurement data is the use of low-energy communication networks using unlicensed frequencies (e.g., low-power wide-area networks, LPWANs) and intelligent edge devices (e.g., Internet of Things, IoT). The integration of LPWANs with the IoT enables long-distance communication with low energy consumption, low cost of metering devices, and simplified implementation of control algorithms for edge devices. The use of IoT technologies also makes it possible to perform calculations on measurement data at the edges of the network. The use of prediction in calculations will enable the reduction of energy consumption for the implementation of measurements and data transmission. Implementations of those solutions contribute to the Internet of Energy (IoE)—distributed energy systems aimed at achieving energy efficiency, avoiding energy waste, and improving environmental conditions.

This Special Issue aims to present and spread widely recent advances related to theory and practice, models and applications, as well as control and monitoring of energy-efficient systems and networks of different types.

Topics of interest for publication include, but are not limited to:

  • Energy-efficient systems and networks;
  • New mathematical optimization models;
  • Power- and energy-aware scheduling;
  • Green computing and energy-efficient computations;
  • Energy-efficient computation and data centers;
  • Systems for charging electric vehicles, devices, machines, etc.;
  • Energy-efficient systems for control and monitoring;
  • Smart metering in intelligent buildings and smart cities;
  • Smart energy management and smart buildings;
  • Low-energy data processing in IoT.

Dr. Grzegorz Waligóra
Dr. Rafał Różycki
Dr. Mariusz Nowak
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 (4 papers)

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Research

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25 pages, 6362 KiB  
Article
Energy-Aware Evolutionary Algorithm for Scheduling Jobs of Charging Electric Vehicles in an Autonomous Charging Station
by Rafał Różycki and Grzegorz Waligóra
Energies 2023, 16(18), 6502; https://0-doi-org.brum.beds.ac.uk/10.3390/en16186502 - 09 Sep 2023
Viewed by 604
Abstract
The paper considers an innovative model of autonomous charging stations where a program implementing a scheduling algorithm and a set of jobs being scheduled are driven by the same common power source. It is assumed that one of the well-known local search metaheuristics—an [...] Read more.
The paper considers an innovative model of autonomous charging stations where a program implementing a scheduling algorithm and a set of jobs being scheduled are driven by the same common power source. It is assumed that one of the well-known local search metaheuristics—an evolutionary algorithm—is used for the scheduling process. The algorithm is designed to search for a sequence of charging jobs resulting in a schedule of the minimum length. Since processors with variable processing speeds can be used for computations, this has interesting consequences both from a theoretical and practical point of view. It is shown in the paper that the problem of choosing the right processor speed under given constraints and an assumed scheduling criterion is a non-trivial one. We formulate a general problem of determining the computation speed of the evolutionary algorithm based on the proposed model of a computational task and the adopted problem of scheduling charging jobs. The novelty of the paper consists of two aspects: (i) proposing the new model of the autonomous charging station operating according to the basics of edge computing; and (ii) developing the methodology for dynamically changing the computational speed, taking into account power and energy constraints as well as the results of computations obtained in the current iteration of the algorithm. Some approaches for selecting the appropriate speed of computations are proposed and discussed. Conclusions and possible directions for future research are also given. Full article
(This article belongs to the Special Issue Energy-Efficient Systems and Networks)
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20 pages, 649 KiB  
Article
A Quantum Approach to the Problem of Charging Electric Cars on a Motorway
by Rafał Różycki, Joanna Józefowska, Krzysztof Kurowski, Tomasz Lemański, Tomasz Pecyna, Marek Subocz and Grzegorz Waligóra
Energies 2023, 16(1), 442; https://0-doi-org.brum.beds.ac.uk/10.3390/en16010442 - 30 Dec 2022
Cited by 1 | Viewed by 1690
Abstract
In this paper, the problem of charging electric motor vehicles on a motorway is considered. Charging points are located alongside the motorway. It is assumed that there are a number of vehicles on a given section of a motorway. In the motorway, there [...] Read more.
In this paper, the problem of charging electric motor vehicles on a motorway is considered. Charging points are located alongside the motorway. It is assumed that there are a number of vehicles on a given section of a motorway. In the motorway, there are several nodes, and for each vehicle, the entering and the leaving nodes are known, as well as the time of entrance. For each vehicle, we know the total capacity of its battery, and the current amount of energy in the battery when entering the motorway. It is also assumed that for each vehicle, there is a finite set of speeds it can use when traveling the motorway. The speed is chosen when entering the motorway, and cannot be changed before reaching the charging station. For each speed, there is given a corresponding power usage; the higher the speed, the larger the power usage. Each vehicle can only use one charger, and when its battery is full, the amount of energy is sufficient for reaching the outgoing node. We look for a feasible solution to the problem, i.e., a solution in which no vehicle has to wait for a charger. The problem is formulated as a problem of scheduling independent, nonpreemptable jobs in parallel, unrelated machines under an additional doubly constrained resource, which is power. Quantum approaches to solve the defined problem are proposed. They use the quantum approximate optimization algorithm and the quantum annealing technique. A computational experiment is presented and discussed. Some conclusions and directions for future research are given. Full article
(This article belongs to the Special Issue Energy-Efficient Systems and Networks)
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24 pages, 5190 KiB  
Article
Data Processing with Predictions in LoRaWAN
by Mariusz Nowak, Rafał Różycki, Grzegorz Waligóra, Joanna Szewczyk, Adrian Sobiesierski and Grzegorz Sot
Energies 2023, 16(1), 411; https://0-doi-org.brum.beds.ac.uk/10.3390/en16010411 - 29 Dec 2022
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Abstract
In this paper, the potential to reduce the energy consumption of end devices operating in a LoRaWAN (long-range wide-area network) is studied. An increasing number of IoT components communicating over wireless networks are powered by external sources. Designers of communication systems are concerned [...] Read more.
In this paper, the potential to reduce the energy consumption of end devices operating in a LoRaWAN (long-range wide-area network) is studied. An increasing number of IoT components communicating over wireless networks are powered by external sources. Designers of communication systems are concerned with extending the operating time of IoT, hence the need to look for effective methods to reduce power consumption. This article proposes two algorithms to reduce the energy consumption of end devices. The first algorithm is based on the use of a measured value prediction, and the second algorithm optimizes the antenna gain of the end device. Both algorithms have been implemented and tested. The test experiments for reducing energy consumption were conducted independently for the cases with the first algorithm and then for the second algorithm. The possibilities of reducing energy consumption were also investigated for the case when both algorithms work together. The proposed predictive algorithm reduced energy consumption the least. Better results in reducing energy consumption were guaranteed by the algorithm optimizing antenna power. The greatest gain was achieved using both algorithms simultaneously. Tests of the developed algorithms, in laboratory conditions and in conditions with a change in the distance between the end device and the LoRa gateway, confirmed the possibility of reducing energy consumption during the transmission of measurement data in a low-energy wireless LoRaWAN. Reducing electric energy consumption by even a few percent for a single device can result in significant savings on a global scale. Full article
(This article belongs to the Special Issue Energy-Efficient Systems and Networks)
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Review

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20 pages, 354 KiB  
Review
Survey on Optimization Models for Energy-Efficient Computing Systems
by Joanna Józefowska, Mariusz Nowak, Rafał Różycki and Grzegorz Waligóra
Energies 2022, 15(22), 8710; https://0-doi-org.brum.beds.ac.uk/10.3390/en15228710 - 19 Nov 2022
Cited by 1 | Viewed by 1274
Abstract
Energy has become the most expensive and critical resource for all kinds of human activities. At the same time, all areas of our lives strongly depend on Information and Communication Technologies (ICT). It is not surprising that energy efficiency has become an issue [...] Read more.
Energy has become the most expensive and critical resource for all kinds of human activities. At the same time, all areas of our lives strongly depend on Information and Communication Technologies (ICT). It is not surprising that energy efficiency has become an issue in developing and running ICT systems. This paper presents a survey of the optimization models developed in order to reduce energy consumption by ICT systems. Two main approaches are presented, showing the trade-off between energy consumption and quality of service (QoS). Full article
(This article belongs to the Special Issue Energy-Efficient Systems and Networks)
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