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Ocean and Hydropower–2nd Edition

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Air, Climate Change and Sustainability".

Deadline for manuscript submissions: 4 May 2024 | Viewed by 1586

Special Issue Editors


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Guest Editor
College of Energy and Electrical Engineering, College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Interests: tidal energy; wave energy; wind energy; turbine; pumped storage; computational fluid dynamics; hydrodynamics
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Guest Editor
College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, China
Interests: offshore wind turbines; offshore floating photovoltaic systems; offshore platform structures; structural dynamics
Special Issues, Collections and Topics in MDPI journals
National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China
Interests: pumps; simulation; optimization; unsteady flow
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Our seas and oceans offer vast renewable energy resources and can contribute to decarbonizing the power system. Ocean energy technologies, such as wave, tidal and offshore wind converters, are still in an emerging phase, but have great potential to provide steady and predictable power output. Hydropower is derived from flowing water, which powers a turbine. It is one of the oldest sources of renewable energy and continues to be an important energy source today, representing 36% of the EU’s renewable electricity consumption (European Commission).

With the rapid development of these technologies, however, the design and optimization of innovative energy converters are still the major obstacles before ocean and hydropower energies can be commercialized. Furthermore, the control strategy, smart grid technology and hydro/aerodynamic properties have a critical influence on the performance and robustness of the development of sustainable energy.

Exploring the great potential of the ocean and hydropower is exciting and meaningful; we are establishing this Special Issue to call for more attention to this scientific area and to strengthen communication between scholars. We welcome any theoretical, numerical and experimental studies, which address a range of topics related to the ocean and hydropower systems. We are also including offshore wind and photovoltaic systems as well. The submitted manuscripts should address one or more of the following topics. Other possible topics will also be considered:

  • Design, manufacture and optimization of tidal/wave/offshore wind and hydropower energy converters;
  • Hydro/aerodynamic properties of tidal/wave/offshore wind/hydropower and other offshore devices;
  • Innovative control system or strategy of ocean and hydropower power generators;
  • Smart grid technology for sustainable energies;
  • Novel offshore energy storage devices;
  • Positioning and installation of offshore energy converters;
  • VLFS (very large floating structures) and sustainable energy;
  • Pump-turbines and other hydraulic machinery.

Prof. Dr. Yuquan Zhang
Prof. Dr. Jianhua Zhang
Dr. Ling Zhou
Prof. Dr. Bin Huang
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. Sustainability 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 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

  • hydrodynamic
  • tidal stream turbine (TST)
  • wave energy converter (WEC)
  • offshore wind turbine
  • hydroturbine
  • very large floating structures (VLFS)
  • smart grid technology
  • fluid–solid interaction (FSI)
  • pump-turbine

Published Papers (2 papers)

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Research

19 pages, 4582 KiB  
Article
Two-Stage Stochastic Scheduling of Cascaded Hydropower–Wind–Photovoltaic Hybrid Systems Considering Contract Decomposition and Spot Market
by Yang Li, Ni Fang, Shengming He, Feng Wu, Outing Li, Linjun Shi and Renshan Ding
Sustainability 2024, 16(3), 1093; https://doi.org/10.3390/su16031093 - 27 Jan 2024
Viewed by 618
Abstract
With the advancement of China’s electricity markets and the continuous development of renewable energy sources (RESs), it is of great importance to investigate the strategic behavior of RESs in electricity markets. In this paper, a two-stage stochastic optimization model is proposed for a [...] Read more.
With the advancement of China’s electricity markets and the continuous development of renewable energy sources (RESs), it is of great importance to investigate the strategic behavior of RESs in electricity markets. In this paper, a two-stage stochastic optimization model is proposed for a hybrid energy system composed of cascade hydropower plants, wind farms, and photovoltaic stations. Firstly, typical scenarios are generated based on Latin hypercube sampling (LHS) and the K-means clustering algorithm to represent uncertainties of wind–photovoltaic power outputs. Then, with an analysis of China’s electricity market structure, a two-stage coordinated scheduling model of hydropower–wind–photovoltaic hybrid systems in electricity markets is established with the objective of maximizing total revenues considering bilateral contract decomposition, the day-ahead energy market, and the real-time balance market. In addition, the proposed model is transformed into a mixed-integer linear programming (MILP) problem for computational convenience. As shown in an analysis of case studies, cascade hydropower plants can compensate for the fluctuation in wind and photovoltaic power outputs to reduce financial risks caused by uncertainties of wind and photovoltaic power generation. Simulation results show that compared with uncoordinated operation, the coordinated operation of hydropower–wind–photovoltaic hybrid systems increases total revenue by 1.08% and reduces the imbalance penalty by 29.85%. Full article
(This article belongs to the Special Issue Ocean and Hydropower–2nd Edition)
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22 pages, 2156 KiB  
Article
Data-Driven Chance-Constrained Schedule Optimization of Cascaded Hydropower and Photovoltaic Complementary Generation Systems for Shaving Peak Loads
by Yang Li, Feng Wu, Xudong Song, Linjun Shi, Keman Lin and Feilong Hong
Sustainability 2023, 15(24), 16916; https://doi.org/10.3390/su152416916 - 17 Dec 2023
Viewed by 641
Abstract
The coordinated scheduling of cascade hydropower with photovoltaic (PV) power stations can significantly improve the utilization rate of delivery transmission lines. However, the inherent uncertainty associated with photovoltaic (PV) forecasts challenges the reliable and economic operation of the complementary energy system. Against this [...] Read more.
The coordinated scheduling of cascade hydropower with photovoltaic (PV) power stations can significantly improve the utilization rate of delivery transmission lines. However, the inherent uncertainty associated with photovoltaic (PV) forecasts challenges the reliable and economic operation of the complementary energy system. Against this background, in this paper, a day-ahead, chance-constrained scheduling for cascaded hydro–photovoltaic complementary generation systems (CHPSs) considering the transmission capacity is proposed. Firstly, the uncertainty of PV forecast errors is simulated by a probability density function fitted using kernel density estimation with historical sampling data. Then, a chance-constrained optimization model considering peak-shaving demands of the receiving-end power grid is developed to determine the day-ahead optimal schedules of CHPSs. Also, complex hydraulic coupling and unit operation constraints of cascade hydropower are considered in the proposed model. To deal with the nonlinear and stochastic constraints, an efficient linearization method is adopted to transform the proposed model into a mixed-integer linear programming (MILP) problem. Finally, the effectiveness and feasibility are verified by case studies. The results show that the day-ahead schedule optimized by the proposed method can fully balance peak-shaving and photovoltaic accommodation while considering photovoltaic output uncertainty. Full article
(This article belongs to the Special Issue Ocean and Hydropower–2nd Edition)
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