energies-logo

Journal Browser

Journal Browser

Analysis and Development of Energy Management: Automotive and Stationary Applications

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

Deadline for manuscript submissions: closed (15 March 2023) | Viewed by 21288

Special Issue Editor

Higher Technical School of Industrial Engineering of Barcelona (ETSEIB), Polytechnic University of Catalonia (UPC), Av. Diagonal 647,2, 08028-Barcelona, Spain
Interests: modelling and control of fuel cell systems (PEMFC, SOFC); electrolysers (PEM, SOEC) and redox flow batteries; hydrogen storage and transport; energy management systems: automotive applications; stationary applications; hybrid systems; combined heat and power systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues,

Energy consumption is growing day by day; in parallel, there is a transition to cleaner energy production systems. The new energy generation and consumption systems are increasingly complex, since they have a distributed nature, behavior that is not totally predictable, and hybrid characteristics, since different sources of energy usually coexist. Additionally, energy storage elements play a very important role. At present, there are a large number of them with very different characteristics. Handling these scenarios is a challenging problem.

Energy management systems play a decisive role in these new energy scenarios. Its correct operation is key to profit from available energy and minimize the use of fossil fuel.

The literature describes different ways to develop energy management systems; the main ones are heuristics, intelligent control, and optimal and predictive control, among others. An element that is usually present in all these algorithms is the technique for predicting generation and energy consumption. This prediction plays a key role in the optimal functioning of energy management systems.

In this special section, we intend to show energy management techniques applied to different energy systems.

Prof. Dr. Ramon Costa-Castelló
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 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 system modeling
  • production/consumption prediction
  • model predictive control in energy system
  • heuristics in energy systems
  • energy systems optimal control

Published Papers (5 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

40 pages, 22935 KiB  
Article
Application of a Bidirectional DC/DC Converter to Control the Power Distribution in the Battery–Ultracapacitor System
by Adrian Chmielewski, Piotr Piórkowski, Krzysztof Bogdziński and Jakub Możaryn
Energies 2023, 16(9), 3687; https://0-doi-org.brum.beds.ac.uk/10.3390/en16093687 - 26 Apr 2023
Cited by 3 | Viewed by 2344
Abstract
The article presents the use of the Texas Instruments LM5170EVM-BIDIR bidirectional DC/DC converter to control power distribution in a hybrid energy storage system based on a battery–ultracapacitor system. The paper describes typical topologies of connecting a battery with an ultracapacitor. The results of [...] Read more.
The article presents the use of the Texas Instruments LM5170EVM-BIDIR bidirectional DC/DC converter to control power distribution in a hybrid energy storage system based on a battery–ultracapacitor system. The paper describes typical topologies of connecting a battery with an ultracapacitor. The results of tests for calibration and identification of converter parameters are presented. The main innovation of the solution presented in this paper is the appropriate selection of the nominal voltage of the ultracapacitor so that the converter can be operated only in the constant current mode, in a cascade connection, excluding the low-efficiency constant voltage mode. This article demonstrated that such control allows for high efficiency and reduction of losses in the DC/DC converter, which is necessary in the case of mobile solutions. The amount of losses was determined depending on the control voltage in the operation modes of the converter: in the Step Up mode by increasing the voltage from 12 V to 24 V, from 12 V to 36 V, and from 12 V to 48 V and in the Step Down mode by decreasing the voltage from 48 V to 12 V, from 36 V to 12 V, and from 24 V to 12 V. For a calibrated converter in a semi-active topology, bench tests were carried out in a cycle with pulsating load. The tests were carried out using LiFePO4 cells with a voltage of 12 V and Maxwell ultracapacitors with a package voltage of 48 V. Power distribution in the range of 10% to 90% was achieved using the myRIO platform, which controlled the operation of the DC/DC converter based on an external current profile. Full article
Show Figures

Figure 1

21 pages, 2156 KiB  
Article
A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis
by Xifeng Wu, Sijia Zhao, Yue Shen, Hatef Madani and Yu Chen
Energies 2020, 13(19), 5050; https://0-doi-org.brum.beds.ac.uk/10.3390/en13195050 - 25 Sep 2020
Cited by 8 | Viewed by 6366
Abstract
Low-carbon transitions are long-term complex processes that are driven by multiple factors. To provide a theoretical and practical framework of this process, we argue that the combination of the multi-level perspective (MLP) and agent-based modeling (ABM) enables us to reach a deeper and [...] Read more.
Low-carbon transitions are long-term complex processes that are driven by multiple factors. To provide a theoretical and practical framework of this process, we argue that the combination of the multi-level perspective (MLP) and agent-based modeling (ABM) enables us to reach a deeper and detailed analysis of low-carbon transitions. As an extensively applied theoretical form, MLP conceptualizes low-carbon transitions as a nonlinear process and allows a system to be analyzed and organized into multiple dimensions (landscape, regime, and niche). However, MLP cannot explain the many details of complex transitions, whereas ABM can estimate the influence of interacting behaviors in a complex system. Therefore, the main advantages of the combined approach for the analysis of low-carbon transition are verified: the MLP can contribute to the overall design of ABM, and ABM can provide a dynamic, continuous, and quantitative description of the MLP. To construct this combination framework, this paper offers a guiding principle that combines the two perspectives under a low-carbon transitional background to create an integrated strategy using three procedures: defining the common concepts, their interaction, and their combination. Through the proposed framework, the goal of this work was to reach a better understanding of social system evolution from the present high-carbon state to a low-carbon state under the pressure of ambitious climate goals, providing specific policy recommendations. Full article
Show Figures

Graphical abstract

24 pages, 1833 KiB  
Article
Optimal Energy Management in a Standalone Microgrid, with Photovoltaic Generation, Short-Term Storage, and Hydrogen Production
by Andreu Cecilia, Javier Carroquino, Vicente Roda, Ramon Costa-Castelló and Félix Barreras
Energies 2020, 13(6), 1454; https://0-doi-org.brum.beds.ac.uk/10.3390/en13061454 - 20 Mar 2020
Cited by 35 | Viewed by 4582
Abstract
This paper addresses the energy management of a standalone renewable energy system. The system is configured as a microgrid, including photovoltaic generation, a lead-acid battery as a short term energy storage system, hydrogen production, and several loads. In this microgrid, an energy management [...] Read more.
This paper addresses the energy management of a standalone renewable energy system. The system is configured as a microgrid, including photovoltaic generation, a lead-acid battery as a short term energy storage system, hydrogen production, and several loads. In this microgrid, an energy management strategy has been incorporated that pursues several objectives. On the one hand, it aims to minimize the amount of energy cycled in the battery, in order to reduce the associated losses and battery size. On the other hand, it seeks to take advantage of the long-term surplus energy, producing hydrogen and extracting it from the system, to be used in a fuel cell hybrid electric vehicle. A crucial factor in this approach is to accommodate the energy consumption to the energy demand and to achieve this, a model predictive control (MPC) scheme is proposed. In this context, proper models for solar estimation, hydrogen production, and battery energy storage will be presented. Moreover, the controller is capable of advancing or delaying the deferrable loads from its prescheduled time. As a result, a stable and efficient supply with a relatively small battery is obtained. Finally, the proposed control scheme has been validated on a real case scenario. Full article
Show Figures

Graphical abstract

18 pages, 4557 KiB  
Article
Management and Activation of Energy Flexibility at Building and Market Level: A Residential Case Study
by Paolo Taddeo, Alba Colet, Rafael E. Carrillo, Lluc Casals Canals, Baptiste Schubnel, Yves Stauffer, Ivan Bellanco, Cristina Corchero Garcia and Jaume Salom
Energies 2020, 13(5), 1188; https://0-doi-org.brum.beds.ac.uk/10.3390/en13051188 - 05 Mar 2020
Cited by 12 | Viewed by 3006
Abstract
The electricity sector foresees a significant change in the way energy is generated and distributed in the coming years. With the increasing penetration of renewable energy sources, smart algorithms can determine the difference about how and when energy is produced or consumed by [...] Read more.
The electricity sector foresees a significant change in the way energy is generated and distributed in the coming years. With the increasing penetration of renewable energy sources, smart algorithms can determine the difference about how and when energy is produced or consumed by residential districts. However, managing and implementing energy demand response, in particular energy flexibility activations, in real case studies still presents issues to be solved. This study, within the framework of the European project “SABINA H2020”, addresses the development of a multi-level optimization algorithm that has been tested in a semi-virtual real-time configuration. Results from a two-day test show the potential of building’s flexibility and highlight its complexity. Results show how the first level algorithm goal to reduce the energy injected to the grid is accomplished as well as the energy consumption shift from nighttime to daytime hours. As conclusion, the study demonstrates the feasibility of such kind of configurations and puts the basis for real test site implementation. Full article
Show Figures

Graphical abstract

15 pages, 1944 KiB  
Article
Prediction of the Energy Consumption Variation Trend in South Africa based on ARIMA, NGM and NGM-ARIMA Models
by Minglu Ma and Zhuangzhuang Wang
Energies 2020, 13(1), 10; https://0-doi-org.brum.beds.ac.uk/10.3390/en13010010 - 18 Dec 2019
Cited by 20 | Viewed by 3775
Abstract
South Africa’s energy consumption takes up about one-third of that in the whole African continent, ranking the first place in Africa. However, there are few researches on the prediction of energy consumption in South Africa. In this study, based on the data of [...] Read more.
South Africa’s energy consumption takes up about one-third of that in the whole African continent, ranking the first place in Africa. However, there are few researches on the prediction of energy consumption in South Africa. In this study, based on the data of South Africa’s energy consumption during 1998–2016, Autoregressive Integrated Moving Average (ARIMA) model, nonlinear grey model (NGM) and nonlinear grey model–autoregressive integrated moving average (NGM-ARIMA) model are adopted to predict South Africa’s energy consumption during 2017–2030. After using these NGM, ARIMA and NGM-ARIMA, the mean absolute percent errors (MAPE) are 2.827%, 2.655% and 1.772%, respectively, which indicates that the predicted result has very high reliability. The prediction results show that the energy consumption in South Africa will keep increasing with the growth rate of about 7.49% in the next 14 years. This research result will provide scientific basis for the policy adjustment of energy supply and demand in South Africa and the prediction techniques used in the research will have reference function for the energy consumption study in other African countries. Full article
Show Figures

Graphical abstract

Back to TopTop