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Energies
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Modeling for Energy Consumption Analysis
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Modeling for Energy Consumption Analysis

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "K: State-of-the-Art Energy Related Technologies".

Deadline for manuscript submissions: closed (8 August 2023) | Viewed by 3648

Special Issue Editors

Dr. Mariusz Jacewicz

E-Mail Website
Guest Editor
Division of Mechanics, Institute of Aeronautics and Applied Mechanics, Faculty of Power and Aeronautical Engineering, Warsaw University of Technology, 00-665 Warsaw, Poland
Interests: flight control systems; control systems reconfiguration; optimization theory; flight dynamics; Monte Carlo simulations; control theory; fuzzy logic; energy optimal strategies; autonomous moving platforms
Special Issues, Collections and Topics in MDPI journals
Dr. Piotr Lichota

E-Mail Website
Guest Editor
Division of Mechanics, Institute of Aeronautics and Applied Mechanics, Faculty of Power and Aeronautical Engineering, Warsaw University of Technology, 00-665 Warsaw, Poland
Interests: flight dynamics; aircraft system identification; optimization methods; modeling and simulation in MATLAB environment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Energy has been the primary factor in deciding the development of modern civilization. Indeed, the demand for energy consumption is expected to increase dramatically in the near future. The use of renewable energy resources and nuclear energy are the possible solutions to prevent an energy crisis. Additionally, energy production, storage, transmission, and distribution are crucial for the appropriate management of resources. There is a need to create solutions and techniques for rational energy administration. Reliable models of real systems must be developed to understand and optimize energy expenditure. This Special Issue aims to explore the abovementioned topics. We invite researchers to publish original and high-quality manuscripts on the modeling and simulation of real systems. Furthermore, we encourage authors to send other related works for possible publication. There is the possibility to extend the topics to encompass additional research that will contribute to energy consumption.

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

  • Renewable energy resources (solar, wind, geothermal, biomass, ocean currents, failing water)
  • Energy aware systems development
  • Rational energy expenditure
  • Energy efficient path planning
  • Autonomous systems
  • Energy expenditure predicting and forecasting
  • Alternative energy
  • Energy conversion & storage (batteries, fuel cells, large-scale storage)
  • Fossil fuels economy
  • Data analytics for prediction of energy generation
  • Power system planning and operation modeling
  • Energy security
  • Environmental impacts
  • Energy systems modelling and analysis (energy systems analysis, carbon management, zero-emission energy solutions)
  • Energy markets and consumers
  • Electric and hydrogen-powered vehicles
  • Energy-based optimization
  • Energy-based control

Dr. Mariusz Jacewicz
Dr. Piotr Lichota
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.

Keywords

  • energy consumption
  • renewable energy sources
  • energy optimal path planning
  • energy-aware model
  • energy-efficient communication
  • energy efficiency
  • impact of energy consumption on the environment
  • energy economics

Published Papers (2 papers)

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Research

24 pages, 2802 KiB  
Article
New Method of Modeling Daily Energy Consumption
by Krzysztof Karpio, Piotr Łukasiewicz and Rafik Nafkha
Energies 2023, 16(5), 2095; https://doi.org/10.3390/en16052095 - 21 Feb 2023
Cited by 2 | Viewed by 1317
Abstract
At present, papers concerning energy consumption and forecasting are predominantly dedicated to various known techniques and their combinations. On the other hand, the research on load modeling and forecasting methodologies is quite limited. This paper presents a new approach concerning hourly energy consumption [...] Read more.
At present, papers concerning energy consumption and forecasting are predominantly dedicated to various known techniques and their combinations. On the other hand, the research on load modeling and forecasting methodologies is quite limited. This paper presents a new approach concerning hourly energy consumption using a multivariate linear regression model. The proposed technique provides a way to accurately model day-to-day energy consumption using just a few selected variables. The number of data points required to describe a whole day’s consumption depends on the demanded precision, which is up to the user. This model is self-configurable and very fast. The applied model shows that four hours are sufficient to describe energy consumption during the remainder of a given day. We show that for about 84% of the data points, the relative error of the model is below 2.5%, and for all the data points the error does not exceed 7.5%. We obtained a mean relative uncertainty of 1.72% in the learning data set, and 1.69% and 1.82% in the two testing data sets, respectively. In addition, we conclude that the model can also detect days with unusual energy consumption. Full article
(This article belongs to the Special Issue Modeling for Energy Consumption Analysis)
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28 pages, 14220 KiB  
Article
An Unmanned Helicopter Energy Consumption Analysis
by Marcin Żugaj, Mohammed Edawdi, Grzegorz Iwański, Sebastian Topczewski, Przemysław Bibik and Piotr Fabiański
Energies 2023, 16(4), 2067; https://doi.org/10.3390/en16042067 - 20 Feb 2023
Cited by 1 | Viewed by 1904
Abstract
The number of operations incorporating E-VTOL aircrafts is increasing each year, and the optimization of the energy consumption of such vehicles is a major problem. In this paper, a small-scale ARCHER helicopter’s energy consumption is analyzed, wherein different flight conditions, main rotor revolutions, [...] Read more.
The number of operations incorporating E-VTOL aircrafts is increasing each year, and the optimization of the energy consumption of such vehicles is a major problem. In this paper, a small-scale ARCHER helicopter’s energy consumption is analyzed, wherein different flight conditions, main rotor revolutions, and flight control system settings are considered. The helicopter dynamic model was developed in the FLIGHTLAB environment and was then validated based on flight test data. The model used for the calculation of energy consumption was developed using the electric and dynamic characteristics of the main rotor, electric motor, and transmission system. The main part of this work concerns the analysis of electric energy consumption during the vehicle’s flight via the use of an automatic flight control system (AFCS) that ensures repeatable flight conditions. The AFCS was designed such that it includes both path and attitude control to provide hover and cruise control modes. The helicopter’s energy consumption was analyzed during different phases of flight, when executing maneuvers, and using different main rotor angular velocities to perform - a given task. The results show that the level of energy consumption significantly depends on the helicopter’s main rotor revolutions, flight speed, and the maneuvers performed. The proposed methodology can be used in prospective energy-efficient mission planning and UAV helicopter design. Full article
(This article belongs to the Special Issue Modeling for Energy Consumption Analysis)
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