Integration of Distributed Energy Resources (DERs)
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".
Deadline for manuscript submissions: 20 June 2024 | Viewed by 10675
Special Issue Editors
Interests: measurements of physical quantities; phase angle measurements; WIM systems and measurement of road traffic parameters; modeling and simulations of measurement systems; signal processing and data fusion in measurement systems; energy harvesting systems
Special Issues, Collections and Topics in MDPI journals
Interests: power quality; smart grids; distributed energy resources; energy control systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The DSO has aggregated, apart from individual consumers and energy sources, energy clusters (ECs) or other forms of energy communities (local balancing areas) as well; the DSO will escalate its aggregation in the near future. The aim of EC is to increase the level of local consumption, increase the share of RES, facilitate balancing and maximize the economic benefits of the cluster members while maintaining certain standards of power quality. Most often it comes down to achieving the highest possible level of self-sufficiency of power supply from local sources. With the increase in the number of such ECs, it may turn out that a much greater benefit can be obtained by shaping the energy consumption/generation profile in these areas in accordance with the reference pattern. This will be a form of flexibility service provided on commercial terms. Full energy self-sufficiency will only become a special case. In order to implement such a scenario, it is necessary to obtain an appropriate level of observability (monitoring) and controllability (on the demand and supply side) within the highlighted ECs and their aggregation in order to shape the given total load profile. The latter will require the effective communication of LBAs within DT, monitoring their load profiles and using the possibility of changing them. The above statements result in the so-called “digital twins” functionalities proposed by some ECs and DNOs in some countries. They are mainly oriented to support the technical and economic activity of ECs and make the integration of different distributed energy resources (DERs) easier and more profitable.
The purpose of the proposed Special Issue is to present various contemporary DER technologies and their mutual integration and cooperation with public distribution networks. Editors are particularly interested in:
- The presentation of the practical effects of already functioning solutions to the greatest possible extent;
- The presentation of the widest possible set of energy sources and storages—from traditional, solar, hydro, wind, geothermal, hydrogen, waste heat utilization, and energy harvesting to efficient energy use and building automation. It is important to integrate many parallel operating sources and to control energy flows in order to achieve the assumed goals of energy communities;
- The presentation of the widest possible range of energy problems that must be solved by energy communities, i.e. technical, organizational, business, social, economic problems, etc. We want to identify barriers to DER development and ways to overcome them.
Prof. Dr. Ryszard Sroka
Prof. Dr. Zbigniew Hanzelka
Guest Editors
Manuscript Submission Information
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Keywords
- distributed energy resources (DERs)
- renewable/citizen energy communities
- power quality
- DERs integration
- energy harvesting systems
- powering of autonomous IoT node
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Management of distributed renewable energy sources: wind, photovoltaics, biogas and water
Authors: Krzysztof Woźny; Andrzej Firlit; Konstanty Waldemar Marszalek; Andrzej Firlit; Konstanty Waldemar Marszalek; Łukasz Jerzy Topolski
Affiliation: EnerSim Sp. z o.o., Królewska 57, 30-081, Kraków, Poland
Abstract: The development of various types of power plants built from renewable energy sources has become one of the key problems of the current world energy situation. The most common composition is combined wind power plants with photovoltaic plants. The problem of managing and distributing electricity is important for distributed systems over a large area. Decentralized energy production represents a crucial step towards the achievement of sustainable and decentralized energy generation. In this regard, the present work endeavors to demonstrate a decentralized energy system, comprising a diversity of renewable energy sources. This system comprises 4 wind power facilities, 4 photovoltaic power facilities, 1 biogas power facility, and 1 hydro turbine that were positioned in disparate geographical locations within the territory of Poland.
Title: Prediction of Energy Consumption on Example of Heterogenic Commercial Buildings
Authors: Kazimierz Kawa; Rafał Mularczyk; Waldemar Bauer; Katarzyna Grobler-Dębska; Edyta Kucharska
Affiliation: AGH University of Krakow
Abstract: The management of large enterprises influences their efficiency and profitability. One of the important aspects is the appropriate management of electricity consumption used for production and daily operation. The problem becomes more complicated when you need to manage not one but a large complex of buildings with heterogeneous purposes.
In the paper, we examine real-time series data of electrical energy consumption in a complex of heterogeneous buildings, including offices and warehouses, using data prediction methods (Holt-Winters model and ARIMA/SARIMA model), and neural networks (Deep Neural Network, Recurrent Neural Network, and Long Short-Term Memory). Experimental research was performed on a dataset obtained from an energy consumption meter placed in the building complex, built in different periods, and equipped with a variety of automation devices. The data were collected over a period of four years 2018 - 2021 in the form of time series. Results show that classic models are good at predicting energy consumption in the mentioned type of buildings. The ARIMA model gave the best results - for buildings characterized by seasonality and trends the forecasts were almost perfect with actual values.
Title: Optimization of Energy Harvesting Power System for Sterilizable Medical IoT
Authors: Ryszard Sroka; Mateusz Danioł; Lukas Bohler
Affiliation: Department of Measurement and Electronics, AGH University of Krakow, 30-059 Kraków, Poland