scholarly journals Sensitivity analysis of offshore wind farm operation and maintenance cost and availability

2016 ◽  
Vol 85 ◽  
pp. 1226-1236 ◽  
Author(s):  
Rebecca Martin ◽  
Iraklis Lazakis ◽  
Sami Barbouchi ◽  
Lars Johanning
Keyword(s):  
Sensitivity Analysis ◽  
Wind Farm ◽  
Offshore Wind ◽  
Maintenance Cost ◽  
Offshore Wind Farm ◽  
Operation And Maintenance ◽  
Operation And Maintenance Cost

scholarly journals Economic Assessment of Distributed Generation Technologies: A Feasibility Study and Comparison with the Literature

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2764
Author(s):  
Ameena Saad Al-Sumaiti ◽  
Abdollah Kavousi-Fard ◽  
Magdy Salama ◽  
Motahareh Pourbehzadi ◽  
Srikanth Reddy ◽  
...  
Keyword(s):  
Power Generation ◽  
Sensitivity Analysis ◽  
Wind Energy ◽  
Distributed Generation ◽  
Economic Assessment ◽  
Rate Of Return ◽  
Maintenance Cost ◽  
Fuel Cost ◽  
Operation And Maintenance ◽  
Operation And Maintenance Cost

With the negative climate impact of fossil fuel power generation and the requirement of global policy to shift towards a green mix of energy production, the investment in renewable energy is an opportunity in developing countries. However, poor economy associated with limited income, funds availability, and regulations governing project funding and development are key factors that challenge investors in the energy sector. Given the various power generation resources, including renewables, it is necessary to evaluate the possible power generation investment options from an economic perspective. To realize this objective, solar PV, wind and diesel power generations are economically compared, considering the incremental rate of return and incremental benefit to cost ratio techniques. The alternative investment options of distributed generation technologies are evaluated for Maharashtra, India under different depreciation methods, and the effect of the latter on selecting the best investment candidate is investigated. The paper also conducts sensitivity analysis to examine the impact of capital cost, operation and maintenance cost, and fuel cost variations on the selection decision considering a comparison of the different general projects’ cash flow structures discussed in the literature. The economic aspects of selecting a project among possible alternatives for an investment in the power sector are analyzed, and the presented review provides comprehensive comparisons with respect to the literature approaches. The results reveal that, in the benchmark case study, the PV project is rejected and disregarded from further comparisons with other candidate projects since its equity internal rate of return (10.25%) is less than the minimum accepted rate of return, leaving the selection between wind and diesel energy projects. The study reveals that the incremental rates of return under such a comparison are 37.88%, 45.94% and 37.50% when MACRS, declining balance and straight line depreciations techniques are applied, respectively. Thus, the wind energy project is the favored option in this case. For the economic assessment of other case studies, the application of both sensitivity analysis on the capital cost and operation and maintenance cost and literature approaches to structure the projects reveal that wind energy for Maharashtra, India is a more attractive and feasible option compared to other distribution generation projects, while diesel is only considered to be a good option when its fuel cost is reduced by 5%. Finally, the paper highlights policy implications that can influence the decision to move towards investment in distributed generation technologies as a future research direction.

scholarly journals Research on a Comprehensive Maintenance Optimization Strategy for an Offshore Wind Farm

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 965
Author(s):  
Yang Lu ◽  
Liping Sun ◽  
Yanzhuo Xue
Keyword(s):  
Wind Farm ◽  
Wind Farms ◽  
Weather Conditions ◽  
Offshore Wind ◽  
Monte Carlo Algorithm ◽  
Maintenance Cost ◽  
Offshore Wind Turbine ◽  
Offshore Wind Farm ◽  
Proposed Model ◽  
Maintenance Activities

Offshore wind is considered a crucial part in the future energy supply. However, influenced by weather conditions, the maintenance of offshore wind turbine system (OWTs) equipment is challenged by poor accessibility and serious failure consequences. It is necessary to study the optimized strategy of comprehensive maintenance for offshore wind farms, with consideration of the influences of incomplete equipment maintenance, weather accessibility and economic relevance. In this paper, a Monte Carlo algorithm-improved factor is presented to simulate the imperfect preventive maintenance activity, and waiting windows were created to study the accessibility of weather conditions. Based on a rolling horizon approach, an opportunity group maintenance model of an offshore wind farm was proposed. The maintenance correlations between systems and between equipment as well as breakdown losses, maintenance uncertainty, and weather conditions were taken into account in the model, thus realizing coordination of maintenance activities of different systems and different equipment. The proposed model was applied to calculate the maintenance cost of the Dafengtian Offshore Wind Farm in China. Results proved that the proposed model could realize long-term dynamic optimization of offshore wind farm maintenance activities, increase the total availability of the wind power system and reduce total maintenance costs.

scholarly journals A Study on the Sensitivity Analysis of Offshore wind farm Design

2011 ◽  
Vol 31 (3) ◽  
pp. 29-35
Author(s):  
Do-Hyung Kim ◽  
Eun-young Jang ◽  
Nam-Ho Kyong ◽  
Hong-Woo Kim ◽  
Sung-Hwan Kim ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Wind Farm Design ◽  
Farm Design

An opportunistic maintenance strategy for offshore wind turbine based on accessibility evaluation

2019 ◽  
Vol 44 (5) ◽  
pp. 455-468
Author(s):  
Xie Lubing ◽  
Rui Xiaoming ◽  
Li Shuai ◽  
Hu Xin
Keyword(s):  
Wind Turbine ◽  
Preventive Maintenance ◽  
Wind Farm ◽  
Weather Conditions ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Maintenance Strategy ◽  
Offshore Wind Farm ◽  
Opportunistic Maintenance ◽  
Operation And Maintenance

The maintenance costs of offshore wind turbines operated under the irregular, non-stationary conditions limit the development of offshore wind power industry. Unlike onshore wind farms, the weather conditions (wind and waves) have greater impacts on the operation and maintenance of offshore wind farm. Accessibility is a key factor related to the operation and maintenance of offshore wind turbine. Considering the impact of weather conditions on the maintenance activities, the Markov method and dynamic time window are applied to represent the weather conditions, and an index used to evaluate the maintenance accessibility is then proposed. As the wind turbine is a multi-component complex system, this article uses the opportunistic maintenance strategy to optimize the preventive maintenance age and opportunistic maintenance age for the main components of the wind turbine. Taking the minimum expectation cost as objective function, this strategy integrates the maintenance work of the key components. Finally, an offshore wind farm is taken for simulation case study of this strategy; the results showed that the maintenance cost of opportunistic maintenance strategy is 10% lower than that of the preventive maintenance strategy, verifying the effectiveness of the opportunistic maintenance.

scholarly journals Advanced logistics planning for offshore wind farm operation and maintenance activities

2015 ◽  
Vol 101 ◽  
pp. 211-226 ◽  
Author(s):  
Yalcin Dalgic ◽  
Iraklis Lazakis ◽  
Iain Dinwoodie ◽  
David McMillan ◽  
Matthew Revie
Keyword(s):  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Operation And Maintenance ◽  
Maintenance Activities ◽  
Logistics Planning

Techno-Economic Analysis and Planning for the Development of Large Scale Offshore Wind Farm in India

2020 ◽  
Vol 10 (2) ◽  
pp. 257-268
Author(s):  
Mohammad Mushir Riaz ◽  
Badrul Hasan Khan
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Large Scale ◽  
Wind Farm ◽  
Offshore Wind ◽  
Maintenance Cost ◽  
Offshore Wind Farm ◽  
Emission Analysis ◽  
Suitable Site ◽  
Power Curves

Despite India's great potential for offshore wind energy development, no offshore wind farm exists in the country. This study aims to plan a large scale offshore wind farm in the south coastal region of India. Seven potential sites were selected for the wind resource assessment study to choose the most suitable site for offshore wind farm development. An optimally matched wind turbine was also selected for each site using the respective power curves and wind speed characteristics. Weibull shape and scale parameters were estimated using WAsP, openwind, maximum likelihood (MLH), and least square regression (LSR) algorithms. The maximum energy-carrying wind speed and the most frequent wind speed were determined using these algorithmic methods. The correlation coefficient (R2) indicated the efficiency of these methods and showed that all four methods represented wind data at all sites accurately; however, openwind was slightly better than MLH, followed by LSR and WAsP methods. The coastal site, Zone-B with RE power 6.2 M152 wind turbine, was found to be the most suitable site for developing an offshore wind farm. Furthermore, the financial analysis that included preventive maintenance cost and carbon emission analysis was also done. Results show that it is feasible to develop a 430 MW wind farm in the region, zone B, by installing seventy RE power 6.2 M152 offshore wind turbines. The proposed wind farm would provide a unit price of Rs. 6.84 per kWh with a payback period of 5.9 years and, therefore, would be substantially profitable.

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