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Processes
Special Issues
Modeling, Simulation and Control in Energy Systems
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Modeling, Simulation and Control in Energy Systems

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 20 May 2024 | Viewed by 3781

Special Issue Editors

Dr. Dimitris Ipsakis

E-Mail Website
Guest Editor
School of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece
Interests: control systems (conventional and advanced) in energy; environmental and industrial systems; process modeling & simulation; development and evaluation of novel systems that exploit RES; production of alternative fuels and energy through eco-friendly processes; techno-economic studies
Special Issues, Collections and Topics in MDPI journals
Dr. Andreas Yiotis

E-Mail Website1 Website2
Guest Editor
School of Mineral Resources Engineering, Technical University of Crete, 73100 Chania, Greece
Interests: transport phenomena in porous media; macroscopic (field) scale behavior of multiphase flows within geologic formations; conventional and enhanced oil recovery, soil remediation; geologic CO2 sequestration

Special Issue Information

Dear Colleagues,

Clean energy systems are on the forefront of today’s discussions regarding the protection of our environment against global warming. Decarbonization strategies along with novel energy systems have diverted research groups to the working areas of renewables, alternative fuels, energy efficiency improvement, autonomous systems design, waste management and energy policy regulations. To this end, the framework of the modeling, simulation and control of energy systems has become an essential tool for unraveling the complex dynamics and for predicting the system performance under stochastic disturbances and system variations (either short-term or long-term). Such energy systems may range from TRL (technology readiness level) 1 to 9, and crucial efforts are devoted to their efficient scale-up and commercialization. Additions to these challenges are the advanced modeling and process control techniques that have been moved from pilot to industrial scale applications.

This Special Issue on “Modeling, Simulation and Control in Energy Systems” aims to collect high-quality research studies (including state-of-the art review papers) addressing challenges pertaining to the broad areas of energy production, management, utilization and storage. Topics include, but are not limited to, the following:

  • Mathematical programming and control of energy systems;
  • Energy efficiency in vehicles, buildings and power stations;
  • Renewable energy systems and energy storage;
  • Electrochemical and H2-based systems (batteries, fuel cells and electrolyzers);
  • Waste-to-Power and Power-to-X technologies;
  • Distributed and off-grid energy systems;
  • Complex transport phenomena in energy processes;
  • Energy management and optimization;
  • Power Quality.

Dr. Dimitris Ipsakis
Dr. Andreas Yiotis
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. Processes is an international peer-reviewed open access monthly 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 2400 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

  • zero carbon technologies
  • energy efficiency and energy conservation
  • hybrid and smart-grid systems
  • combined heat and power (CHP units)
  • waste processing
  • advanced process control
  • energy algorithms and optimization
  • energy economics, policy and planning

Published Papers (4 papers)

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Research

17 pages, 4465 KiB  
Article
A Graphical User Interface for Calculating Exergy Destruction for Combustion Reactions
by M. Özgün Korukҫu
Processes 2024, 12(2), 294; https://doi.org/10.3390/pr12020294 - 30 Jan 2024
Viewed by 673
Abstract
The combustion of fuels has been studied by many researchers as it is used in a wide range of engineering applications. The chemical equilibrium approach served as the foundation for the investigation of combustion reactions. This article presents a software application designed to [...] Read more.
The combustion of fuels has been studied by many researchers as it is used in a wide range of engineering applications. The chemical equilibrium approach served as the foundation for the investigation of combustion reactions. This article presents a software application designed to facilitate the calculation of combustion processes by calculating the combustion of 16 fuels among the common alkanes (CnH2n+2) and alcohols (CnH2n+1OH). The Ozan Combustion Calculator (OCC) offers a user-friendly and efficient graphical user interface (GUI) that allows users to easily input data and obtain results. The program was developed using MATLAB 2021a and LaTeX software, ensuring its reliability and accuracy. To perform these calculations, the program utilizes calculations of the thermophysical properties of fuels and water obtained from tables. The program consists of five modules, each serving a specific purpose. These modules calculate various parameters, such as the Adiabatic Flame Temperature, Exergy of Combustion with Dry Air, Exergy of Combustion with Moist Air, Energy of Combustion with Dry Air, and Energy of Combustion with Moist Air. Additionally, the program can be used to investigate the impact of relative humidity on the adiabatic flame temperature and exergy destruction. The results obtained from the calculations reveal that the adiabatic flame temperature exhibits a linear decrease as the relative humidity increases. On the other hand, exergy destruction demonstrates a quadratic increase with higher relative humidity values. The program derives mathematical relationships for the adiabatic flame temperature and exergy destruction with respect to relative humidity values, with a high regression coefficient (r2=0.999). The versatility of OCC makes it suitable for various applications. It can be utilized in university settings for both undergraduate- and graduate-level courses, providing students with a practical tool for studying combustion processes. Additionally, it finds applications in industrial settings for the design and optimization of combustors, gas turbines, and burners. The user-friendly interface and accurate calculations make OCC a valuable resource in the field of combustion engineering. Full article
(This article belongs to the Special Issue Modeling, Simulation and Control in Energy Systems)
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13 pages, 8490 KiB  
Article
The Influence of Blade Tip Clearance on the Flow Field Characteristics of the Gas–Liquid Multiphase Pump
by Yuxuan Deng, Yanna Li, Jing Xu, Chunyan Kuang and Yanli Zhang
Processes 2023, 11(11), 3170; https://doi.org/10.3390/pr11113170 - 07 Nov 2023
Viewed by 617
Abstract
Gas–liquid multiphase pumps are critical transportation devices in the petroleum and chemical engineering industries, and improving their conveyance efficiency is crucial. This study investigates the influence of blade tip clearance variations on the flow characteristics within a multiphase pump. Numerical simulations were conducted [...] Read more.
Gas–liquid multiphase pumps are critical transportation devices in the petroleum and chemical engineering industries, and improving their conveyance efficiency is crucial. This study investigates the influence of blade tip clearance variations on the flow characteristics within a multiphase pump. Numerical simulations were conducted using Eulerian two-phase and SST k-ω turbulence models with four distinct tip clearance sizes (0 mm, 0.3 mm, 0.6 mm, and 0.9 mm). The performance curve, tip leakage flow (TLF), and internal gas distribution were subjected to analysis. The results indicate that the TLF is linearly related to the clearance size and traverses multiple flow passages, resulting in energy losses and a reduced pump head coefficient. Larger tip clearances (0.6 mm and 0.9 mm) exhibited a more uniform flow pattern, contrasting the irregularities seen with a 0.3 mm clearance. Compared to no tip clearance (0 mm), gas holdup within the impeller passages decreased by 18.39%, 39.62%, and 58.53% for clearances of 0.3 mm, 0.6 mm, and 0.9 mm, respectively, leading to decreased overall system efficiency. This study highlights the connection between tip clearance size and flow dynamics in multiphase pumps, offering insights for optimal tip clearance selection during multiphase pump design. Full article
(This article belongs to the Special Issue Modeling, Simulation and Control in Energy Systems)
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17 pages, 3896 KiB  
Article
Design and Simulation of a Feedback Controller for an Active Suspension System: A Simplified Approach
by Vasileios Provatas and Dimitris Ipsakis
Processes 2023, 11(9), 2715; https://doi.org/10.3390/pr11092715 - 11 Sep 2023
Cited by 2 | Viewed by 944
Abstract
The concept of controlling vehicle comfort is a common problem that is faced in most under- and postgraduate courses in Engineering Schools. The aim of this study is to provide a simplified approach for the feedback control design and simulation of active suspension [...] Read more.
The concept of controlling vehicle comfort is a common problem that is faced in most under- and postgraduate courses in Engineering Schools. The aim of this study is to provide a simplified approach for the feedback control design and simulation of active suspension systems, which are applied in vehicles. Firstly, the mathematical model of an active suspension system (a quarter model of a car) which consists of a passive spring, a passive damper and an actuator is provided. In this study, we chose to design and compare the following controllers: (a) conventional P, PI and PID controllers that were tuned through two conventional methodologies (Ziegler–Nichols and Tyreus–Luyben); (b) an optimal PID controller that was tuned with a genetic algorithm (GA) optimization framework in terms of the minimization of certain performance criteria and (c) an internal model controller (IMC) based on the process transfer function. The controllers’ performance was assessed in a series of realistic scenarios that included set-point tracking with and without disturbances. In all cases, the IMC controller and the optimal PID showed superior performance. On the other hand, the P and PI controllers showed a rather insufficient behavior that involved persistent errors, overshoots and eventually, uncomfortable ride oscillations. Clearly, a step-by-step approach such as this, that includes modeling, control design and simulation scenarios can be applied to numerous other engineering examples, which we envisage to lead more students into the area of automatic control. Full article
(This article belongs to the Special Issue Modeling, Simulation and Control in Energy Systems)
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16 pages, 3072 KiB  
Article
Capacity Management in Smart Grids Using Greedy Randomized Adaptive Search Procedure and Tabu Search
by Hugo de Oliveira Motta Serrano, Cleberton Reiz and Jonatas Boas Leite
Processes 2023, 11(8), 2464; https://doi.org/10.3390/pr11082464 - 16 Aug 2023
Viewed by 750
Abstract
Over time, distribution systems have progressed from small-scale systems to complex networks, requiring modernization to adapt to these increasing levels of active loads and devices. It is essential to manage the capacity of distribution networks to support all these new technologies. This work, [...] Read more.
Over time, distribution systems have progressed from small-scale systems to complex networks, requiring modernization to adapt to these increasing levels of active loads and devices. It is essential to manage the capacity of distribution networks to support all these new technologies. This work, therefore, presents a method for evaluating the impact of optimal allocation and sizing of DGs and load shedding for response demand programs on distribution networks to improve the reliability and financial performance of electric power systems. The proposed optimization tool uses the Greedy Randomized Adaptive Search Procedure and Tabu Search algorithms. The combined optimization of DG allocation simultaneously with load shedding, reliability indices, load transference, and the possibility of islanded operation significantly improves the quality of the planning proposals obtained by the developed method. The results demonstrate the efficiency and robustness of the proposed method, improving the voltage profile by up to 2.02%, relieving the network capacity, and increasing the load restoration capability and reliability. Statistical analysis is also carried out to highlight the performance of the proposed methodology. Full article
(This article belongs to the Special Issue Modeling, Simulation and Control in Energy Systems)
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