A lifecycle techno-economic model of offshore wind energy for different entry and exit instances

Ιωάννου, Αναστασία; Angus, Andrew; Brennan, Feargal

doi:10.1016/j.apenergy.2018.03.143

Cited by 96 publications

(63 citation statements)

References 42 publications

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“…The components of CAPEX considered in the present study are: (i) development and consenting, (ii) construction phase insurance, (iii) rotor-nacelle-assembly costs, (iv) production costs (including tower and support structure), (v) mooring costs (including installation for the case of floating wind turbines), (vi) grid costs (including installation), and (vii) installation of the whole wind turbine system [39,51]. According to [16,[60][61][62], CAPEX is estimated taking into account the water depth and the distance from the shore. In addition to these factors, the CAPEX of such projects depends upon: (i) the wind turbine support structure deployed, which can be either fixed to the sea bed or floating [16,39,51,52,60] and (ii) the nominal power of the wind turbine.…”

Section: Estimation Of Capexmentioning

confidence: 99%

“…In [39,51] OPEX was considered equal to 3.7% of CAPEX (€/MW) for wind turbines with a TLB floating platform and equal to 3.44% of CAPEX (€/MW) for wind turbines with a Hywind floating platform. After calculating OPEX for all OWFs for their first year of operation, OPEX during their total life cycle, which is defined equal to 25 years [62], can be estimated. For this purpose, the formula of the present value of annually allocated expenses (PVAAE) (Eq 1.)…”

Section: Estimation Of Opexmentioning

confidence: 99%

“…DECEX of an OWF project may correspond to 0%-4% of the total investment costs [16,51,62,64]. In the present paper, for each project, DECEX is taken equal to 2% of the corresponding total investment cost, since it is considered that although a significant amount is collected from recycling the salvaged construction materials, this amount does not suffice to cover the DECEX in total.…”

Section: Estimation Of Decexmentioning

confidence: 99%

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Strategic Planning of Offshore Wind Farms in Greece

2020

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In the present article, a new methodological framework for the efficient and sustainable exploitation of offshore wind potential was developed. The proposed integrated strategic plan was implemented for the first time at national spatial planning scale in Greece. The methodological approach is performed through geographical information systems (GIS) and Microsoft Project Server Software and includes five distinct stages: (i) definition of vision/mission, (ii) identification of appropriate areas for offshore wind farms’ (OWFs) siting, (iii) determination of the OWFs’ layout, (iv) calculation of the OWFs’ (projects) total investment cost and, finally, (v) portfolio analysis. The final outcome of the proposed strategic planning is the prioritization of the proposed sixteen offshore wind projects based on their strategic value, as well as the estimation of the overall investment cost of the entire portfolio. High economic, socio-political and environmental benefits could be achieved through the implementation of only 60% of the total investment capital of the proposed strategic plan.

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Section: Estimation Of Capexmentioning

confidence: 99%

Section: Estimation Of Opexmentioning

confidence: 99%

Section: Estimation Of Decexmentioning

confidence: 99%

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Strategic Planning of Offshore Wind Farms in Greece

2020

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“…The electric system of the wind farm enabling the integration and transmission of electric energy consists of: two offshore substations, Mean Voltage (MV) submarine cables used as array cables, High Voltage (HV) export cables, which carry the stepped-up voltage from the offshore substation to the grid connection point. More details on the assumptions on lifecycle costs of the offshore wind farm can be found in [14].…”

Section: A Grid Connected Systemmentioning

confidence: 99%

A preliminary techno-economic comparison between a grid-connected and non-grid connected offshore floating wind farm

Ιωάννου

2019

2019 Offshore Energy and Storage Summit (OSES)

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Non-grid connected (NGC) floating offshore wind (OW) turbines can signify a solution for harvesting wind energy far offshore, addressing some key issues including the deep waters and lack of grid connection, while also exploiting the higher capacity factors. Towards this direction, on-board energy storage in the form of hydrogen production is one of the most promising solutions, often cited in literature. This study aims to perform a preliminary techno-economic analysis to assess the trade-offs, in terms of cost, between a far offshore grid-connected (GC) floating wind farm and a NGC wind farm integrated with an electrolyser for the production of hydrogen. To this end, a lifecycle technoeconomic model coupled with an O&M model developed for offshore wind installations are employed. The model is applied to a hypothetical wind farm located 200km from the shore. For the GC system, O&M costs along with the costs of acquisition of the electric system (offshore cable and offshore substation) appeared to be the main contributors to the Levelised Cost of Electricity (LCOE). As far as the NGC system is concerned, it was concluded that a higher annual capacity factor (>60%) could potentially achieve viability of the investment.

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“…Offshore wind operations and maintenance (O&M) costs could reach up to 30% of the total project cost . These costs are relatively high due to accessibility issues and the need of dedicated vessels and personnel for the turbines' repair.…”

Section: Introductionmentioning

confidence: 99%

Offshore wind turbine fault alarm prediction

2019

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Offshore wind operations and maintenance (O&M) costs could reach up to one third of the overall project costs. In order to accelerate the deployment of offshore wind farms, costs need to come down. A key contributor to the O&M costs is the component failures and the downtime caused by them. Thus, an understanding is needed on the root cause of these failures. Previous research has indicated the relationship between wind turbine failures and environmental conditions. These studies are using work‐order data from onshore and offshore assets. A limitation of using work orders is that the time of the failure is not known and consequently, the exact environmental conditions cannot be identified. However, if turbine alarms are used to make this correlation, more accurate results can be derived. This paper quantifies this relationship and proposes a novel tool for predicting wind turbine fault alarms for a range of subassemblies, using wind speed statistics. A large variation of the failures between the different subassemblies against the wind speed are shown. The tool uses 5 years of operational data from an offshore wind farm to create a data‐driven predictive model. It is tested under low and high wind conditions, showing very promising results of more than 86% accuracy on seven different scenarios. This study is of interest to wind farm operators seeking to utilize the operational data of their assets to predict future faults, which will allow them to better plan their maintenance activities and have a more efficient spare part management system.

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A lifecycle techno-economic model of offshore wind energy for different entry and exit instances

Cited by 96 publications

References 42 publications

Strategic Planning of Offshore Wind Farms in Greece

Strategic Planning of Offshore Wind Farms in Greece

A preliminary techno-economic comparison between a grid-connected and non-grid connected offshore floating wind farm

Offshore wind turbine fault alarm prediction

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