scholarly journals Analytical Cost Modeling for Co-Located Wind-Wave Energy Arrays

2018 ◽  
Author(s):  
Caitlyn Clark ◽  
Bryony DuPont

Offshore wind and wave energy are co-located resources, and both the offshore wind and wave energy industries are driven to reduce costs while maintaining or increasing power production within developments. Due to the maturity of offshore wind technology and continued growth of both offshore floating wind and wave energy converter (WEC) technology, there is new opportunity within the offshore renewable energy sector to combine wind and wave technologies in the same leased ocean space through co-located array development. Combining wind and wave energy technologies through co-location is projected to have synergistic effects that reduce direct and indirect costs for developments. While several of these effects have been quantified, many have not been related to cost, and there is currently no cost model that incorporates all of these effects. Further, in areas where fixed-bottom offshore wind structures are infeasible, floating offshore wind platforms could provide access to plentiful resource further offshore. In this paper, we develop a cost model that represents co-located array developments, particularly for floating offshore wind and wave energy converter technology, and identify research gaps and uncertainties to be minimized in future work.

Author(s):  
Carlos Perez-Collazo ◽  
Deborah Greaves ◽  
Gregorio Iglesias

In a global scenario of climate change and raising threats to the marine environment, a sustainable exploitation of offshore wind and wave energy resources is not only crucial for the consolidation of both industries, but also to provide a reliable and accessible source of renewable energy. In this context, and with the shared challenge for both industries to reduce costs, the combination of wind and wave technologies has emerged. In particular, this research deals with a novel hybrid system that integrates an oscillating water column, wave energy converter, with an offshore wind turbine substructure. In this paper, the novel hybrid wind-wave energy converter is studied in a three steps process. First, assessing a preliminary concept by means of a concept development methodology for hybrid wind-wave energy converters. Secondly, an OWC WEC sub-system is defined, on the basis of the results from the first step. Finally, the proof of concept of the WEC sub-system is carried out by means of a physical modelling test campaign at the University of Plymouth’s COAST laboratory.


2020 ◽  
Vol 162 ◽  
pp. 103731 ◽  
Author(s):  
Yu Zhou ◽  
Dezhi Ning ◽  
Wei Shi ◽  
Lars Johanning ◽  
Dongfang Liang

2020 ◽  
Vol 8 (11) ◽  
pp. 932
Author(s):  
Ali Trueworthy ◽  
Bryony DuPont

Wave energy is among the many renewable energy technologies being researched and developed to address the increasing demand for low-emissions energy. The unique design challenges for wave energy converter design—integrating complex and uncertain technological, economic, and ecological systems, overcoming the structural challenges of ocean deployment, and dealing with complex system dynamics—have lead to a disjointed progression of research and development. There is no common design practice across the wave energy industry and there is no published synthesis of the practices that are used by developers. In this paper, we summarize the methods being employed in WEC design as well as promising methods that have yet to be applied. We contextualize these methods within an overarching design process. We present results from a survey of WEC developers to identify methods that are common in industry. From the review and survey results, we conclude that the most common methods of WEC design are iterative methods in which design parameters are defined, evaluated, and then changed based on evaluation results. This leaves a significant space for improvement of methods that help designers make better-informed decisions prior to sophisticated evaluation, and methods of using the evaluation results to make better design decisions during iteration. Despite the popularity of optimization methods in academic research, they are less common in industry development. We end this paper with a summary of the areas of WEC design in which the testing and development of new methods is necessary, and where more research is required to fully understand the influence of design decisions on WEC performance.


Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2432 ◽  
Author(s):  
Qiang Zhai ◽  
Linsen Zhu ◽  
Shizhou Lu

This study presents a life cycle assessment (LCA) study for a buoy-rope-drum (BRD) wave energy converter (WEC), so as to understand the environmental performance of the BRD WEC by eco-labeling its life cycle stages and processes. The BRD WEC was developed by a research group at Shandong University (Weihai). The WEC consists of three main functional modules including buoy, generator and mooring modules. The designed rated power capacity is 10 kW. The LCA modeling is based on data collected from actual design, prototype manufacturing, installation and onsite sea test. Life cycle inventory (LCI) analysis and life cycle impact analysis (LCIA) were conducted. The analyses show that the most significant environmental impact contributor is identified to be the manufacturing stage of the BRD WEC due to consumption of energy and materials. Potential improvement approaches are proposed in the discussion. The LCI and LCIA assessment results are then benchmarked with results from reported LCA studies of other WECs, tidal energy converters, as well as offshore wind and solar PV systems. This study presents the energy and carbon intensities and paybacks with 387 kJ/kWh, 89 gCO2/kWh, 26 months and 23 months respectively. The results show that the energy and carbon intensities of the BRD WEC are slightly larger than, however comparable, in comparison with the referenced WECs, tidal, offshore wind and solar PV systems. A sensitivity analysis was carried out by varying the capacity factor from 20–50%. The energy and carbon intensities could reach as much as 968 kJ/kWh and 222 gCO2/kWh respectively while the capacity factor decreasing to 20%. Limitations for this study and scope of future work are discussed in the conclusion.


Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 637 ◽  
Author(s):  
Carlos Perez-Collazo ◽  
Deborah Greaves ◽  
Gregorio Iglesias

1995 ◽  
Vol 29 (9) ◽  
pp. 505-514
Author(s):  
V. V. Volshanik ◽  
A. L. Zuikov ◽  
T. K. D. Tennakoonge ◽  
B. E. Monakhov

2021 ◽  
Vol 9 (5) ◽  
pp. 490
Author(s):  
Erfan Amini ◽  
Danial Golbaz ◽  
Rojin Asadi ◽  
Mahdieh Nasiri ◽  
Oğuzhan Ceylan ◽  
...  

One of the most encouraging sorts of renewable energy is ocean wave energy. In spite of a large number of investigations in this field during the last decade, wave energy technologies are recognised as neither mature nor broadly commercialised compared to other renewable energy technologies. In this paper, we develop and optimise Power Take-off (PTO) configurations of a well-known wave energy converter (WEC) called a point absorber. This WEC is a fully submerged buoy with three tethers, which was proposed and developed by Carnegie Clean Energy Company in Australia. Optimising the WEC’s PTO parameters is a challenging engineering problem due to the high dimensionality and complexity of the search space. This research compares the performance of five state-of-the-art metaheuristics (including Covariance Matrix Adaptation Evolution Strategy, Gray Wolf optimiser, Harris Hawks optimisation, and Grasshopper Optimisation Algorithm) based on the real wave scenario in Sydney sea state. The experimental achievements show that the Multiverse optimisation (MVO) algorithm performs better than the other metaheuristics applied in this work.


2019 ◽  
Vol 199 ◽  
pp. 111971 ◽  
Author(s):  
C. Perez-Collazo ◽  
R. Pemberton ◽  
D. Greaves ◽  
G. Iglesias

Author(s):  
Nianxin Ren ◽  
Zhen Gao ◽  
Torgeir Moan

In this work, a combined concept called Spar-Toru-Combination (STC) involving a spar-type floating wind turbine (FWT) and an axi-symmetric two-body wave energy converter (WEC) is considered. From the views of both long-term fatigue damage prediction of the mooring lines and the annual energy production estimation, a coupled analysis of wind-wave induced long-term stochastic responses has been performed using the SIMO-TDHMILL code in the time domain, which includes 79200 one-hour short term cases (the combination of 22 selected mean wind speeds * 15 selected significant wave heights * 12 selected spectral peak wave periods * 20 random seeds). The hydrodynamic loads on the Spar and Torus are estimated using potential theory, while the aerodynamic loads on the wind rotor are calculated by the validated simplified thrust force model in the TDHMILL code. Considering the long-term wind-wave joint distribution in the northern North Sea, the annual fatigue damage of the mooring line for the STC system is obtained by using the S-N curve approach and Palmgren-Miner’s linear damage hypothesis. In addition, the annual wind and wave power productions are also obtained by using hourly mean output power for each short-term condition and the joint wind-wave distribution.


Sign in / Sign up

Export Citation Format

Share Document