Verification and Benchmarking Methodology for O&M Planning and Optimization Tools in the Offshore Renewable Energy Sector

Author(s):  
Giovanni Rinaldi ◽  
Ajit C. Pillai ◽  
Philipp R. Thies ◽  
Lars Johanning

Lowering Operation and Maintenance (O&M) expenses is pivotal in order to increase the penetration of offshore renewables in the generation of electricity. The combined use of Monte Carlo simulation and optimization algorithms has been explored to support the assets management and propose improved solutions in an efficient and automated way. However, due to the lack of operational experience and historical data, validation of these models, intended in the commonly known sense of comparison against observed data is often not possible. This generates concern about their ability to fully grasp and interpret the complex dynamics of an offshore renewable energy system. This paper presents a method to effectively calibrate, verify and benchmark computational tools for O&M strategies and asset management of an offshore wind farm, as an alternative to validation in absence of real data. A case study is used to test the quality of the results and compare them against those provided by similar tools built for the same purpose. The evaluation functions for an optimization of the O&M strategies are then benchmarked against these outputs in order to ensure that the solutions are consistent within the overall characterization and optimization framework. The requirements for acceptability of the models performance, as well as guidelines for analogous verifications using similar models, are derived. Hence, this work provides a basis to benchmark future models and increase confidence and credibility in computational tools for the O&M planning of offshore renewables.

2021 ◽  
Vol 6 (4) ◽  
pp. 50
Author(s):  
Payam Teimourzadeh Baboli ◽  
Davood Babazadeh ◽  
Amin Raeiszadeh ◽  
Susanne Horodyvskyy ◽  
Isabel Koprek

With the increasing demand for the efficiency of wind energy projects due to challenging market conditions, the challenges related to maintenance planning are increasing. In this paper, a condition-based monitoring system for wind turbines (WTs) based on data-driven modeling is proposed. First, the normal condition of the WTs key components is estimated using a tailor-made artificial neural network. Then, the deviation of the real-time measurement data from the estimated values is calculated, indicating abnormal conditions. One of the main contributions of the paper is to propose an optimization problem for calculating the safe band, to maximize the accuracy of abnormal condition identification. During abnormal conditions or hazardous conditions of the WTs, an alarm is triggered and a proposed risk indicator is updated. The effectiveness of the model is demonstrated using real data from an offshore wind farm in Germany. By experimenting with the proposed model on the real-world data, it is shown that the proposed risk indicator is fully consistent with upcoming wind turbine failures.


Author(s):  
Yilser Devrim ◽  
Serkan Eryilmaz

In this article, a hybrid system that consists of a specified number of wind turbines and solar modules is considered. In particular, the system is modeled using weighted k-out-of- n system which is also known as a threshold system in reliability literature. The system under concern consists of [Formula: see text] identical wind turbines and [Formula: see text] identical solar modules, and each turbine and module can be in one of two states as working or failed. The probability that the entire hybrid system with [Formula: see text] components produces power at minimum level k is computed and evaluated. The importance of single-wind turbine and solar module is also calculated to measure which renewable energy component is more critical and important. Extensive numerical results that are based on real data set are presented to illustrate the model.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Vincent Anayochukwu Ani ◽  
Bahijjahtu Abubakar

This paper presents the feasibility analysis and study of integrated renewable energy (IRE) using solar photovoltaic (PV) and wind turbine (WT) system in a hypothetical study of rural health clinic in Borno State, Nigeria. Electrical power consumption and metrology data (such as solar radiation and wind speed) were used for designing and analyzing the integrated renewable energy system. The health clinic facility energy consumption is 19 kWh/day with a 3.4 kW peak demand load. The metrological data was collected from National Aeronautics and Space Administration (NASA) website and used to analyze the performance of electrical generation system using HOMER program. The simulation and optimization results show that the optimal integrated renewable energy system configuration consists of 5 kW PV array, BWC Excel-R 7.5 kW DC wind turbine, 24 unit Surrette 6CS25P battery cycle charging, and a 19 kW AC/DC converter and that the PV power can generate electricity at 9,138 kWh/year while the wind turbine system can generate electricity at 7,490 kWh/year, giving the total electrical generation of the system as 16,628 kWh/year. This would be suitable for deployment of 100% clean energy for uninterruptable power performance in the health clinic. The economics analysis result found that the integrated renewable system has total NPC of 137,139 US Dollar. The results of this research show that, with a low energy health facility, it is possible to meet the entire annual energy demand of a health clinic solely through a stand-alone integrated renewable PV/wind energy supply.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Aurore Raoux ◽  
◽  
Ilan Robin ◽  
Jean-Philippe Pezy ◽  
Anne-Claire Bennis ◽  
...  

The French coast of the Atlantic and English Channel (EC) is promising for the development of Marine Renewable Energy (MRE), including wind, wave, and tidal stream, due to the high velocity of currents in some parts of the area. This paper, focusing on wind and tidal energy, discusses how the implementation of MRE converters influences biodiversity, and vice versa, through biofouling and reef effects. The understanding of these interactions requires the knowledge of the hydro-sedimentary conditions and the macrofauna. The research on these topics, performed at the Continental and Coastal Morphodynamic laboratory (M2C) (UNICAEN, France), is presented through a multi-disciplinary approach by i) studying the hydrodynamic conditions and the macrofauna in Alderney Race, ii) studying the biofouling effects on tidal turbines and their influence on the turbulent wake, iii) assessing the hydro-sedimentary impacts induced by the offshore wind farm, like scouring, and iv) taking an ecosystem approach on MRE, such as the reef effect. From an ecological perspective, the reef effect can be responsible for changes in the structure and function of the ecosystem. Although several studies have analyzed this effect at the species-or community-scale, the propagation of the reef effect at the ecosystem-scale remains unclear. Thus, understanding these ecosystem-scale effects is urgent for future research. From an engineering perspective, biofouling changes the structural characteristics (i.e., supplementary mass) of the converters and thus, affects their performance.


Author(s):  
K. T. Chang ◽  
D.-S. Jeng

Donghai offshore wind farm, the first and largest commercial operating offshore wind energy system in China, adopted a novel foundation–high-rising structure foundation. In this paper, a three-dimensional porous model, based on Reynolds-Averaged Navier-Stokes equations and Biot’s poro-elastic theory, was developed by integrating 3D wave and seabed models to simulate wave-induced seabed response around the high-rising structure foundation. Then, a parametric study for the wave and seabed characteristics on the foundation stability was conducted. The numerical results concluded from the numerical analysis were as follows: (i) the existence of structure had a significant effect on the wave transformations and the distributions of wave-induced pore pressures; (ii) the magnitude of wave-induced pore pressure increased as wave height or wave period increased; (iii) the dissipation rate of pore pressure increased as the degree of saturation decreased.


Author(s):  
Qiying Li

Renewable energy (RE) is green and low-carbon energy, which can not only protect the environment, promote the technological diversification of the energy supply system, accelerate the adjustment of energy structure, but also has important significance for the sustainable development of economy. With the increasing complexity of the problems of renewable energy system asset management and ensuring the operational reliability of electric power equipment, it's necessary to establish remote, online, reliable monitoring and inspection techniques for the state evaluation of electrical equipment during the full life cycle. In order to meet these demands, the digital twin is a very suitable technology. In recent years, there are numerous scientific papers demonstrating DT's capabilities in virtual simulation, condition monitoring (CM), power optimization and fault diagnosis for RE generation systems, transmission and transformation equipment and storage systems. The majority of the research focusing on product design, maintenance of operation, condition monitoring and fault decision-making has provided many valuable contributions to academia and industrial fields. Nevertheless, all this valuable information is scattered over many literatures and it is lack of systematic generalization. In this article, different applications of DT technology in RE system are analyzed, advanced methods and theories are summarized comprehensively, and the development trend of DT technology in renewable energy system in the future is introduced.


2014 ◽  
Vol 953-954 ◽  
pp. 342-347
Author(s):  
Yuan Kang Wu ◽  
Ching Yin Lee ◽  
Dong Jing Lee ◽  
Yung Ching Huang

Taiwan is developing the renewable energy actively, in which the wind energy is seen as one of important resources. However, the suitable locations for wind farm constructions are less and less on the shore, and the trend of wind farm development in the future will toward to offshore where the installation capacity of the wind farm could reach hundreds of megawatts. As the installation capacity of the wind farm increases, the effects on the interconnected AC grid are also more notable. In this paper, the off-peak system in Taiwan is used as a studied system in which the Penghu area and Taiwan grid is connected by submarine cables. This study explores the wind farm transmission system including HVAC, HVDC, and hybrid HVAC-HVDC systems and compares the differences of their impact on the system.


Sign in / Sign up

Export Citation Format

Share Document