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Energy Management Systems: Challenges, Techniques and Opportunities

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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 25 September 2024 | Viewed by 7704

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Special Issue Editors

Dr. Andrzej Ożadowicz

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Guest Editor

Department of Power Electronics and Energy Control Systems, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland
Interests: building automation and control systems; building energy management systems; energy management; demand-side management; smart metering; smart grid; microgrid; microcontrollers; event-based control; prosumer
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Piotr Borkowski

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Guest Editor

Department of Electrical Apparatus, Faculty of Electrical Engineering, Electronics, Computer Science and Automatic Control, Lodz University of Technology, B.Stefanowskiego 20, 90-537 Lodz, Poland
Interests: electrical apparatus, electromechatronics, electrotechnology, automation of measurement processes, software engineering, computer-aided design, modeling and computer simulation, building automation and control systems; building energy management systems; energy management; demand-side management; smart metering, smart grid; microgrid; event-based control; prosumer

Special Issue Information

Dear Colleagues,

Due to the growing demand for energy and the growing number of distributed energy sources, the modern power grid is constantly changing. This is particularly true for the distribution level, where new structures such as microgrids, virtual power plants, or energy clusters appear. Moreover, an increasing number of existing energy consumers are turning into local prosumers. Renewable energy sources and storages are attached to the power grid as well, often constituting the infrastructure of industrial plants, buildings, and houses.

Therefore, along with the technological development and modernization of electric power grids, new systems and tools enabling the effective management of energy and power flows in such grids are implemented. This Special Issue focuses on issues related to the development of modern energy management systems and platforms at different levels of contemporary energy systems and smart power grids. It is aims to present original research and studies related to the development of technologies and methods of energy and demand management in distribution networks, microgrids, virtual power plants, prosumer installations or buildings equipped with renewable energy, storage tanks, heat pumps, etc. All kinds of manuscripts presenting research, case studies as well as state-of-the-art reviews could be submitted to this Special Issue. The scope of this Special Issue covers (but is not limited to) the following topics:

Energy management systems;
Effective demand-side management and response;
Flexibility of power supply and demand response;
Interactivity in power grid;
Technologies and solutions in microgrids and virtual power plants;
Innovative transactive energy systems;
Data communication networks for energy management;
Integration of renewable energy sources and storages;
Distributed generation with smart control and monitoring functions;
Microgrids with buildings integrated;
Energy management in buildings and homes;
Energy efficiency in buildings;
Renewable energy technologies in buildings;
Consumers’ and prosumers’ activization.

Dr. Andrzej Ożadowicz
Prof. Dr. Piotr Borkowski
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 management
demand side management
demand-side response
energy flexibility
energy efficiency
prosumers
microgrids
virtual plants
transactive energy
Internet of energy
renewable energy sources
energy storage
distributed generation
building energy management systems

Published Papers (5 papers)

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Research

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27 pages, 10582 KiB

Open AccessArticle

Implementation of Building a Thermal Model to Improve Energy Efficiency of the Central Heating System—A Case Study

by Aleksander Skała, Jakub Grela, Dominik Latoń, Katarzyna Bańczyk, Michał Markiewicz and Andrzej Ożadowicz

Energies 2023, 16(19), 6830; https://doi.org/10.3390/en16196830 - 26 Sep 2023

Cited by 2 | Viewed by 989

Abstract

This paper presents the concept of an innovative control of a central heating system in a multifamily building based on the original thermodynamic model, the resulting architecture of the control system, and the originally designed and manufactured wireless temperature sensors for thermal zones. The novelty of this solution is the developed layers of the control system: distributed measurement and correction analysis, which is based on the existing infrastructure and the local HVAC controller. This approach allows for the effective use of the measured temperature data from thermal zones and finally sending the value of the calculated correction of settings to the controller. Moreover, in the analytical layer, a model was also implemented that calculates the necessary amount of energy based on data from the subsystem of temperature sensors located in the thermal zones of the building. The use of the algorithmic strategy presented in this paper extends the functionality and significantly improves the energy efficiency of the existing, classic, reference heating control algorithm by implementing additional control loops. Additionally, it enables integration with demand-side response systems. The presented concept was successfully tested, achieving real energy savings for heating by 12%. These results are described in a case-study format. The authors believe that this concept can be used in other buildings and thus will have a positive impact on the energy savings used to maintain thermal comfort in buildings and significantly reduce CO₂ emissions. Full article

(This article belongs to the Special Issue Energy Management Systems: Challenges, Techniques and Opportunities)

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17 pages, 2975 KiB

Open AccessFeature PaperArticle

Day-Ahead Scheduling of Multi-Energy Microgrids Based on a Stochastic Multi-Objective Optimization Model

by Seyed Reza Seyednouri, Amin Safari, Meisam Farrokhifar, Sajad Najafi Ravadanegh, Anas Quteishat and Mahmoud Younis

Energies 2023, 16(4), 1802; https://doi.org/10.3390/en16041802 - 11 Feb 2023

Cited by 6 | Viewed by 1316

Abstract

Dealing with multi-objective problems has several interesting benefits, one of which is that it supplies the decision-maker with complete information regarding the Pareto front, as well as a clear overview of the various trade-offs that are involved in the problem. The selection of such a representative set is, in and of itself, a multi-objective problem that must take into consideration the number of choices to show the uniformity of the representation and/or the coverage of the representation in order to ensure the quality of the solution. In this study, day-ahead scheduling has been transformed into a multi-objective optimization problem due to the inclusion of objectives, such as the operating cost of multi-energy multi-microgrids (MMGs) and the profit of the Distribution Company (DISCO). The purpose of the proposed system is to determine the best day-ahead operation of a combined heat and power (CHP) unit, gas boiler, energy storage, and demand response program, as well as the transaction of electricity and natural gas (NG). Electricity and gas are traded by MGs with DISCO at prices that are dynamic and fixed, respectively. Through scenario generation and probability density functions, the uncertainties of wind speed, solar irradiation, electrical, and heat demands have been considered. By using mixed-integer linear programming (MILP) for scenario reduction, the high number of generated scenarios has been significantly reduced. The ɛ-constraint approach was used and solved as mixed-integer nonlinear programming (MINLP) to obtain a solution that meets the needs of both of these nonlinear objective functions. Full article

(This article belongs to the Special Issue Energy Management Systems: Challenges, Techniques and Opportunities)

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17 pages, 2547 KiB

Open AccessArticle

Aggregated Use of Energy Flexibility in Office Buildings

by João Tabanêz Patrício, Rui Amaral Lopes, Naim Majdalani, Daniel Aelenei and João Martins

Energies 2023, 16(2), 961; https://doi.org/10.3390/en16020961 - 14 Jan 2023

Cited by 2 | Viewed by 1341

Abstract

Due to climate change consequences, all Member States of the European Union signed an agreement with the goal of becoming the first society and economy with a neutral impact on the planet by 2050. The building sector is one of the highest energy consumers, using 33% of global energy production. Given the global increase for energy demand, implementing energy flexibility strategies is crucial for a better integration of renewable energy sources and a reduction of consumption peaks arising from the electrification of energy demand. The work described in this paper aims to develop an optimization algorithm to use the existing aggregated energy flexibility in office buildings to reduce both the electric energy costs of each office, considering the tariffs applied at each moment and the total power peak, aiming to reduce the entire building’s cost of the contracted power, considering the Portuguese context. The obtained results conclude that it is possible to reduce both the costs associated with electric energy consumption and contracted power. Nevertheless, since the cost of contracted power has a lower impact on the overall energy bill, it is more beneficial to focus only on the reduction of costs associated with electric energy consumption in the considered case study. Full article

(This article belongs to the Special Issue Energy Management Systems: Challenges, Techniques and Opportunities)

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19 pages, 823 KiB

Open AccessArticle

A New Approach to Risk Management in the Power Industry Based on Systems Theory

by Dariusz Gołȩbiewski, Tomasz Barszcz, Wioletta Skrodzka, Igor Wojnicki and Andrzej Bielecki

Energies 2022, 15(23), 9003; https://doi.org/10.3390/en15239003 - 28 Nov 2022

Cited by 4 | Viewed by 1092

Abstract

Contemporary risk management is based on statistical analysis. Such an approach has a few crucial disadvantages. First of all, it has limited applicability to new technological solutions. In this paper, a new idea for risk evaluation and management is put forward. The proposed approach is based on the autonomous systems theory. The theoretical foundation of the proposed idea is described and its prospective applications are discussed. The proposed measures of risk are based on the idea of the controllability of the system—the greater the level of controllability, the lower the risk. Various aspects of controllability are analyzed—economic, technological, and industrial. For each aspect of controllability, the problem of defining adequate measures for the level of risk is discussed. The proposed approach allows the risk assessor to analyze the system deeply. As a consequence, the analyst can assess the risk based not only on a posteriori statistics but also on an analysis of the crucial properties of the system. This allows the investigator to predict a priori possibilities of critical events. The proposed methodology is applied to the power industry. Full article

(This article belongs to the Special Issue Energy Management Systems: Challenges, Techniques and Opportunities)

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Review

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21 pages, 1928 KiB

Open AccessFeature PaperReview

A Systematic Literature Review on Data-Driven Residential and Industrial Energy Management Systems

by Jonas Sievers and Thomas Blank

Energies 2023, 16(4), 1688; https://doi.org/10.3390/en16041688 - 8 Feb 2023

Cited by 2 | Viewed by 1951

Abstract

The energy transition and the resulting expansion of renewable energy resources increasingly pose a challenge to the energy system due to their volatile and intermittent nature. In this context, energy management systems are central as they coordinate energy flows and optimize them toward economic, technical, ecological, and social objectives. While numerous scientific publications study the infrastructure, optimization, and implementation of residential energy management systems, only little research exists on industrial energy management systems. However, results are not easily transferable due to differences in complexity, dependency, and load curves. Therefore, we present a systematic literature review on state-of-the-art research for residential and industrial energy management systems to identify trends, challenges, and future research directions. More specifically, we analyze the energy system infrastructure, discuss data-driven monitoring and analysis, and review the decision-making process considering different objectives, scheduling algorithms, and implementations. Thus, based on our insights, we provide numerous recommendations for future research in residential and industrial energy management systems. Full article

(This article belongs to the Special Issue Energy Management Systems: Challenges, Techniques and Opportunities)

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