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Whole-Energy System Modeling
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Whole-Energy System Modeling

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".

Deadline for manuscript submissions: 10 July 2024 | Viewed by 2249

Special Issue Editor

Dr. Danny Pudjianto

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, Imperial College London, London, UK
Interests: integration of renewable energy; optimization in energy system planning and operation; smart grid; economics and regulations in power systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Decarbonising electricity, heating, cooling, transport, and industrial processes requires synergy to minimise the overall system costs and achieve sustainable solutions while improving resiliency and reliability. Traditional silo approaches in planning multi-energy systems would be suboptimal given the increasingly stronger linkages across those factors driven, e.g., by electrification and hydrogen applications for decarbonisation. Moreover, the applications of negative emission and greenhouse gas removal technologies, carbon capture usage and storage will need to be considered in planning low or zero-carbon energy systems. 

In this context, the Special Issue on “Whole energy system modelling” invites papers that:

  • Propose and demonstrate the benefits of novel holistic approaches in coordinating energy system decarbonisation strategies;
  • Stimulate the integration of low-carbon technologies;
  • Model and optimise the planning and operation of multi-energy systems;
  • Develop the required socio-economic frameworks to facilitate the whole-system approach;
  • Discuss the results of trials and validation experiences that can contribute to optimising multi-energy system resources.

Dr. Danny Pudjianto
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.

Published Papers (3 papers)

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Research

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36 pages, 6333 KiB  
Article
Benchmarking of Various Flexible Soft-Computing Strategies for the Accurate Estimation of Wind Turbine Output Power
by Boudy Bilal, Kaan Yetilmezsoy and Mohammed Ouassaid
Energies 2024, 17(3), 697; https://doi.org/10.3390/en17030697 - 1 Feb 2024
Viewed by 832
Abstract
This computational study explores the potential of several soft-computing techniques for wind turbine (WT) output power (kW) estimation based on seven input variables of wind speed (m/s), wind direction (°), air temperature (°C), pitch angle (°), generator temperature (°C), rotating speed of the [...] Read more.
This computational study explores the potential of several soft-computing techniques for wind turbine (WT) output power (kW) estimation based on seven input variables of wind speed (m/s), wind direction (°), air temperature (°C), pitch angle (°), generator temperature (°C), rotating speed of the generator (rpm), and voltage of the network (V). In the present analysis, a nonlinear regression-based model (NRM), three decision tree-based methods (random forest (RF), random tree (RT), and reduced error pruning tree (REPT) models), and multilayer perceptron-based soft-computing approach (artificial neural network (ANN) model) were simultaneously implemented for the first time in the prediction of WT output power (WTOP). To identify the top-performing soft computing technique, the applied models’ predictive success was compared using over 30 distinct statistical goodness-of-fit parameters. The performance assessment indices corroborated the superiority of the RF-based model over other data-intelligent models in predicting WTOP. It was seen from the results that the proposed RF-based model obtained the narrowest uncertainty bands and the lowest quantities of increased uncertainty values across all sets. Although the determination coefficient values of all competitive decision tree-based models were satisfactory, the lower percentile deviations and higher overall accuracy score of the RF-based model indicated its superior performance and higher accuracy over other competitive approaches. The generator’s rotational speed was shown to be the most useful parameter for RF-based model prediction of WTOP, according to a sensitivity study. This study highlighted the significance and capability of the implemented soft-computing strategy for better management and reliable operation of wind farms in wind energy forecasting. Full article
(This article belongs to the Special Issue Whole-Energy System Modeling)
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28 pages, 22320 KiB  
Article
Analysis of the Influence of the 6-Pulse Thyristor-Bridge Input Reactor Size on the Shunt Active Power Filter Work Efficiency: A Case Study
by Chamberlin Stéphane Azebaze Mboving and Zbigniew Hanzelka
Energies 2024, 17(1), 80; https://doi.org/10.3390/en17010080 - 22 Dec 2023
Viewed by 650
Abstract
This paper presents a case study in which the influence of the 6-pulse thyristor-bridge input reactor size on the shunt active power filter (SAPF)’s work performance is investigated. The purpose of using an SAPF in the power system is in most cases for [...] Read more.
This paper presents a case study in which the influence of the 6-pulse thyristor-bridge input reactor size on the shunt active power filter (SAPF)’s work performance is investigated. The purpose of using an SAPF in the power system is in most cases for fundamental harmonic reactive power compensation, harmonics and asymmetry mitigation. The work efficiency of such a filter depends not only on the designed control system, interface filter and dc-link capacitor parameters, but also on the parameters of the electrical system in which it is connected. Therefore, it is necessary to study and know the power system (supplier and consumer sides) before its installation. For instance, in the electrical system with diode or thyristor-bridge as loads, the SAPF performance efficiency may not be satisfied due to the high rate of current change (di/dt) at the points of commutation notches. In this paper, the performed simulation and laboratory experiments show that for a better operating efficiency of the SAPF, the input reactor parameters should be selected based not only on the effective reduction in the inverter switching ripple or the control system demand, but also on the parameters of the load, such as the parameters of the diode or thyristor-bridge input reactor. Apart from the experimental demonstrations on how the input reactor size influences the SAPF work efficiency, the novelties in this paper are: the formulated recommendations on how to choose the SAPF input reactor parameters (the SAPF is more efficient in terms of harmonics, asymmetry and reactive power mitigation when the inductance of its input reactor (L-filter) is smaller than the one of the diode or thyristor-bridge input reactor); the proposed SAPF control system; the proposed expressions to compute the SAPF input reactor inductance, DC voltage and capacitor. Full article
(This article belongs to the Special Issue Whole-Energy System Modeling)
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Review

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26 pages, 1933 KiB  
Review
The Role of Flexibility in the Integrated Operation of Low-Carbon Gas and Electricity Systems: A Review
by Mohammad Mehdi Amiri, Mohammad Taghi Ameli, Goran Strbac, Danny Pudjianto and Hossein Ameli
Energies 2024, 17(9), 2187; https://doi.org/10.3390/en17092187 - 2 May 2024
Viewed by 310
Abstract
The integration of gas and electricity networks has emerged as a promising approach to enhance the overall flexibility of energy systems. As the transition toward sustainable and decarbonized energy sources accelerates, the seamless coordination between electricity and gas infrastructure becomes increasingly crucial. This [...] Read more.
The integration of gas and electricity networks has emerged as a promising approach to enhance the overall flexibility of energy systems. As the transition toward sustainable and decarbonized energy sources accelerates, the seamless coordination between electricity and gas infrastructure becomes increasingly crucial. This paper presents a comprehensive review of the state-of-the-art research and developments concerning the flexibility in the operation of low-carbon integrated gas and electricity networks (IGENs) as part of the whole system approach. Methods and solutions to provide and improve flexibility in the mentioned systems are studied and categorized. Flexibility is the system’s ability to deal with changes and uncertainties in the network while maintaining an acceptable level of reliability. The presented review underscores the significance of this convergence in facilitating demand-side management, renewable energy integration, and overall system resilience. By highlighting the technical, economic, and regulatory aspects of such integration, this paper aims to guide researchers, policymakers, and industry stakeholders toward effective decision-making and the formulation of comprehensive strategies that align with the decarbonization of energy systems. Full article
(This article belongs to the Special Issue Whole-Energy System Modeling)
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