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Wind Energy in Multi Energy Systems
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Department of Energy Technology, Aalborg University, 9220 Aalbog, Denmark
Department of Engineering, University of Perugia, 06125 Perugia, Italy
Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, The Netherlands
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Wind Energy in Multi Energy Systems

Abstract submission deadline
31 August 2024
Manuscript submission deadline
31 December 2024
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3076

Topic Information

Dear Colleagues,

Renewable energy technologies, especially variable renewable energy technologies such as wind turbines and solar PV, are in quick development and will become the dominant power generation sources to replace fossil-fuel-based power generation technology in future clean and sustainable energy systems.

However, the fluctuating and fewer controllability features of variable renewable energy, especially wind power, presents significant challenges to the secured and stable operation of power systems, and affects the economics of the renewable energy power generators since the renewable power may not be fully utilized.

Multi energy systems, which integrate electricity, thermal and hydrogen/gas systems together, can explore the interactions of the different energy sectors to support the subsystems each other. For example, providing the power systems with the flexibility by regulating the heat pumps and electrical boilers in thermal systems, by controlling the fuel cells and electrolyser related to hydrogen systems. Further, the renewable power curtailments may be avoided in similar approaches.

Therefore, it is expected the integrated multi energy systems will be an effective approach of fully utilising renewable energy and supplying the energy demands in all energy sectors, including transportation systems.

The objective of this topic is to provide a forum with a set of publication collections to present the current research activities and trends in the area of wind power in multi energy systems. The scope of the topic may include but not limited to the following contents:

  • Flexibility of power systems based on large scale wind power;
  • Energy markets and wind power;
  • Planning of multi energy systems with wind energy;
  • Optimal operation of multi energy systems with wind energy;
  • Wind Power to X;
  • Wind power and transportation systems.

Prof. Dr. Zhe Chen
Dr. Davide Astolfi
Dr. Tingting Zhu
Topic Editors

Keywords

  • wind energy
  • energy market
  • energy system planning
  • power systems
  • thermal systems
  • P2X
  • hydrogen
  • multi energy systems
  • renewable energy and transportation

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Mechanics
applmech 		- 1.4 2020 22.5 Days CHF 1200 Submit
Energies
energies 		3.2 5.5 2008 16.1 Days CHF 2600 Submit
Processes
processes 		3.5 4.7 2013 13.7 Days CHF 2400 Submit
Sustainability
sustainability 		3.9 5.8 2009 18.8 Days CHF 2400 Submit
Wind
wind 		- - 2021 24.8 Days CHF 1000 Submit

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Published Papers (3 papers)

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22 pages, 66829 KiB  
Article
Aerodynamic Analysis of Variable Camber-Morphing Airfoils with Substantial Camber Deflections
by Marta Marciniuk, Paweł Piskur, Łukasz Kiszkowiak, Łukasz Malicki, Krzysztof Sibilski, Katarzyna Strzelecka, Stanisław Kachel and Zygmunt Kitowski
Energies 2024, 17(8), 1801; https://doi.org/10.3390/en17081801 - 09 Apr 2024
Viewed by 408
Abstract
In recent years, morphing wings have become not only a concept, but an aerodynamic solution for the aviation industry to take a step forward toward future technologies. However, continuously morphing airfoils became an interesting answer to provide green energy solutions. In this paper, [...] Read more.
In recent years, morphing wings have become not only a concept, but an aerodynamic solution for the aviation industry to take a step forward toward future technologies. However, continuously morphing airfoils became an interesting answer to provide green energy solutions. In this paper, the authors conducted experimental research on a continuously camber-morphing airfoil using the Particle Image Velocimetry (PIV) and Computational Fluid Dynamics (CFD) methods. The main objective of this work was to research a variety of morphing airfoils with different camber deflections. An average velocity distribution and turbulence distribution were compared and are discussed. The two-dimensional PIV results were compared to the CFD simulations to validate the numerical method’s accuracy and obtain the aerodynamic coefficient’s trends. A further comparison revealed that morphing airfoils have better aerodynamic performance than conventional airfoils for very low camber deflections and create substantial amounts of drag for significant camber deflections. Full article
(This article belongs to the Topic Wind Energy in Multi Energy Systems)
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22 pages, 9439 KiB  
Article
Offshore Wind Power Resource Assessment in the Gulf of North Suez
by Shafiqur Rehman, Kashif Irshad, Nasiru I. Ibrahim, Ali AlShaikhi and Mohamed A. Mohandes
Sustainability 2023, 15(21), 15257; https://doi.org/10.3390/su152115257 - 25 Oct 2023
Viewed by 885
Abstract
Growing population, industrialization, and power requirements are adversely affecting the environment through increased greenhouse gases resulting from fossil fuel burning. Global greenhouse gas mitigation targets have led nations to promote clean and self-renewable sources of energy to address this environmental issue. Offshore wind [...] Read more.
Growing population, industrialization, and power requirements are adversely affecting the environment through increased greenhouse gases resulting from fossil fuel burning. Global greenhouse gas mitigation targets have led nations to promote clean and self-renewable sources of energy to address this environmental issue. Offshore wind power resources are relatively more attractive due to high winds, less turbulence, minimal visualization effects, and no interaction of infrastructure. The present study aims at conducting an offshore wind power resource assessment (OWPRA) at some locations in the Gulf of North Suez. For this purpose, the long-term hourly mean wind speed (WS) and wind direction above mean sea level (AMSL), as well as temperature and pressure data near the surface, are used. The data is obtained from ERA5 (fifth generation global climate reanalysis) at six (L1–L6) chosen offshore locations. The data covers a period of 43 years, between 1979 and 2021. The WS and direction are provided at 100 m AMSL, while temperature and pressure are available near water-surface level. At the L1 to L6 locations, the log-term mean WS and wind power density (WPD) values are found to be 7.55 m/s and 370 W/m2, 6.37 m/s and 225 W/m2, 6.91 m/s and 281 W/m2, 5.48 m/s and 142 W/m2, 4.30 m/s and 77 W/m2, and 5.03 and 115 W/m2 and at 100 m AMSL, respectively. The higher magnitudes of monthly and annual windy site identifier indices (MWSI and AWSI) of 18.68 and 57.41 and 12.70 and 42.94 at the L1 and L3 sites, and generally lower values of wind variability indices, are indicative of a favorable winds source, which is also supported by higher magnitudes of mean WS, WPD, annual energy yields, plant capacity factors, and wind duration at these sites. The cost of energy for the worst and the best cases are estimated as 10.120 USD/kWh and 1.274 USD/kWh at the L5 and L1 sites, corresponding to wind turbines WT1 and WT4. Based on this analysis, sites L1, L3, and L2 are recommended for wind farm development in order of preference. The wind variability and windy site identifier indices introduced will help decision-makers in targeting potential windy sites with more confidence. Full article
(This article belongs to the Topic Wind Energy in Multi Energy Systems)
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20 pages, 2624 KiB  
Article
Unit Combination Scheduling Method Considering System Frequency Dynamic Constraints under High Wind Power Share
by Qun Li, Qiang Li and Chenggen Wang
Sustainability 2023, 15(15), 11840; https://doi.org/10.3390/su151511840 - 01 Aug 2023
Cited by 3 | Viewed by 798
Abstract
Power systems with a high wind power share are characterized by low rotational inertia and weak frequency regulation, which can easily lead to frequency safety problems. Providing virtual inertia for large-scale wind turbines to participate in frequency regulation is a solution, but virtual [...] Read more.
Power systems with a high wind power share are characterized by low rotational inertia and weak frequency regulation, which can easily lead to frequency safety problems. Providing virtual inertia for large-scale wind turbines to participate in frequency regulation is a solution, but virtual inertia is related to wind power output prediction. Due to wind power prediction errors, the system inertia is reduced and there is even a risk of instability. In this regard, this article proposes a unit commitment model that takes into account the constraints of sharp changes in frequency caused by wind power prediction errors. First, the expressions of the equivalent inertia, adjustment coefficient, and other frequency influence parameters of the frequency aggregation model for a high proportion wind power system are derived, revealing the mechanism of the influence of wind power prediction power and synchronous machine start stop status on the frequency modulation characteristics of the system. Second, the time domain expression of the system frequency after the disturbance is calculated by the segment linearization method, and the linear expressions of “frequency drop speed and frequency nadir” constraints are derived to meet the demand of frequency regulation in each stage of the system. Finally, a two-stage robust optimization model based on a wind power fuzzy set is constructed by combining the effects of wind power errors on power fluctuation and frequency regulation capability. The proposed model is solved through affine decision rules to reduce its complexity. The simulation results show that the proposed model and method can effectively improve the frequency response characteristics and increase the operational reliability of high-share wind power systems. Full article
(This article belongs to the Topic Wind Energy in Multi Energy Systems)
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