Life-cycle cost analysis of floating offshore wind farms

Castro-Santos, Laura; Díaz-Casás, Vicente

doi:10.1016/j.renene.2013.12.002

Cited by 113 publications

(59 citation statements)

References 11 publications

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“…The importance of the LCC analysis and an economic life cost-related model in three different offshore floating wind devices was presented in Laura and Vicente (2014). This study aims to develop a framework and minimise some of the most important costs in a floating type of turbine making the floating devices a more attractive investment.…”

Section: Life Cycle Cost Modellingmentioning

confidence: 99%

“…Assumptions and useful data in the modelling of the problem can be found in references 4COffshore (2017c), Dicorato et al (2011), Espinosa (2014, Laura and Vicente (2014), Shafiee et al (2015), The Crown Estate (2017) and Wind Energy The Facts (2017). Based on the previous work, a new model was developed so as to be coupled with the optimisation algorithms and drive the optimisation search.…”

Section: A Framework For the Optimisation Of Deployment Sites For Roumentioning

confidence: 99%

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A multi-objective optimisation approach applied to offshore wind farm location selection

Mytilinou

Kolios

2017

J. Ocean Eng. Mar. Energy

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This paper compares the three state-of-the-art algorithms when applied to a real-world case of the wind energy sector. Optimum locations are suggested for a wind farm by considering only Round 3 zones around the UK. The problem comprises of some of the most important technoeconomic life cycle cost-related factors, which are modelled using the physical aspects of each wind farm location (i.e., the wind speed, distance from the ports, and water depth), the wind turbine size, and the number of turbines. The model is linked to NSGA II, NSGA III, and SPEA 2 algorithms, to conduct an optimisation search. The performance of these three algorithms is demonstrated and analysed, so as to assess their effectiveness in the investment decision-making process in the wind sector, more importantly, for Round 3 zones. The results are subject to the specifics of the underlying life cycle cost model.

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Section: Life Cycle Cost Modellingmentioning

confidence: 99%

Section: A Framework For the Optimisation Of Deployment Sites For Roumentioning

confidence: 99%

A multi-objective optimisation approach applied to offshore wind farm location selection

Mytilinou

Kolios

2017

J. Ocean Eng. Mar. Energy

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“…Nikos [10] analyzed the life cycle cost of a wind park and set up a life cycle cost model; Laura et al [11] put forward a method to evaluate the cost breakdown structure for offshore wind farms.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the development of the wind power industry in China — from the perspective of the financial support

2017

Energ Sustain Soc

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Background: The wind energy industry is an important part of the renewable energy industry. Helpful financial support plays an essential role in the process of its development. This study analyzes the financial support efficiency not only from the aspect of capital raise, but also from the aspect of the allocation of up-, middle-and down-stream of the Chinese wind power industry chain (which includes the fan component manufacturing enterprises, the fan production enterprises, the wind farm generation and operation enterprises). Methods: Based on a data envelopment analysis (DEA) model, this study selected 30 representative public companies which sampled and extracted their financial data in a panel analysis from 2010 to 2015, in which the financial support efficiency for the Chinese wind power industry was investigated from the aspect of capital raise and allocation. Results: In terms of capital raise, the comprehensive efficiencies of these three streams all reached their peak in 2011, and then indicated a slight decline, whereas the fan component manufacturing enterprises had both the largest pure technical efficiency value in 2011 and a relatively high scale efficiency value during the sampling period. In terms of capital allocation, the fan component manufacturing enterprises and the wind farm generation and operation enterprises indicated both the highest comprehensive efficiency in 2011, which is merely the expansion period of the new energy industry. The wind farm generation and operation enterprises showed the lowest pure technical value in 2012, which is also the depression period of the new energy industry. The scale efficiency of the fan production enterprises as well as the wind energy generation and operation enterprises had a relatively high scale efficiency value from 2010 to 2015.

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“…The EU aims to achieve 20% of energy consumption from renewable sources in order to 43 reduce carbon emissions by 2020 (Bilgili et al, 2011;Laura and Vicente, 2014). The UK 44 government has also set the figure of 15% as the target for 2020 (O'Keeffea and Hagett, 45 2012; Higgins and Foley, 2014).…”

Section: Introduction 42mentioning

confidence: 99%

“…The maintenance activities for an offshore wind project need a fleet of vessels, 66 such as component transport vessels, crew transfer vessels, crane vessels, and vessels for 67 specialised tasks such as cable-laying (Halvorsen-Weare et al, 2013). The type of vessel or 68 helicopter used for maintenance depends significantly on the distance from the port to the 69 OWF (Laura and Vicente, 2014). Vessel efficiency is becoming a key factor in determining 70 overall vessel demand, which is defined in terms of working time required for recovering 71 different faults, taking into account weather delays.…”

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confidence: 99%

A decision support system for strategic maintenance planning in offshore wind farms

Li¹,

Ouelhadj²,

Song³

et al. 2016

Renewable Energy

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Life-cycle cost analysis of floating offshore wind farms

Cited by 113 publications

References 11 publications

A multi-objective optimisation approach applied to offshore wind farm location selection

A multi-objective optimisation approach applied to offshore wind farm location selection

Analysis of the development of the wind power industry in China — from the perspective of the financial support

A decision support system for strategic maintenance planning in offshore wind farms

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