Published April 2019 | Version v1
Journal article

A lifecycle financial analysis model for offshore wind farms

  • 1. MaREI Centre, University College Cork, Haulbowline Rd, Ringaskiddy, Cork (Ireland)
  • 2. SINTEF Energy Research, Postboks 4761 Torgarden, 7465 Trondheim (Norway)

Description

Highlights: • A validated model that performs in-depth financial analysis of offshore wind farms. • Designed for versatility, it can consider both fixed and floating technologies. • The model identifies key cost and time drivers, facilitating scenario optimisation. • It considers the impact of uncertain variables on results such as weather conditions. • With a comprehensive range of abilities, it is suited to a variety of end-users. -- Abstract: Simulation and modelling allow a range of offshore wind farm stakeholders to test and improve a project's viability in a cost-effective and safe manner. This paper presents a model developed to conduct detailed financial analysis of an offshore wind farm. It extends the current state of the art by employing stochastic time-series simulation modules performing in-depth analysis of the technologies, strategies and procedures applied during the installation, operation and maintenance, and decommissioning phases of a wind farm lifecycle. The model was designed for versatility and can consider both fixed and floating technologies, a wide variety of strategies, and any site specified by the user. Results include energy production, costs and the duration of activities at each stage. These populate financial spreadsheets, which calculate key performance indicators including the Levelised Cost of Energy. The model has been successfully validated against real-life case-studies where possible; published data; and uses sensitivity analysis to ensure the model is working as expected. Through a case-study, the paper demonstrates how 1) the model enables the identification of key cost and time drivers, facilitating scenario optimisation; 2) the stochastic nature of the model considers the impact of uncertain variables on results such as weather conditions and wind turbine failure rates; 3) the model can be used to assess different business models and financing structures. This comprehensive range of abilities means that the model is suited to a variety of end-users and meets the demands of a growing industry, striving to achieve further cost-reductions across a range of site conditions, technologies and markets.

Additional details

Identifiers

DOI
10.1016/j.rser.2018.12.045;
PII
S1364032118308475;

Publishing Information

Journal Title
Renewable and Sustainable Energy Reviews
Journal Volume
103
Journal Page Range
p. 370-383
ISSN
1364-0321

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55020452
Subject category
S17: WIND ENERGY;
Descriptors DEI
COMPUTERIZED SIMULATION; DESIGN; MARKET; OPTIMIZATION; SENSITIVITY ANALYSIS; STOCHASTIC PROCESSES; WIND TURBINE ARRAYS; WIND TURBINES
Descriptors DEC
EQUIPMENT; MACHINERY; SIMULATION; TURBINES; TURBOMACHINERY

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.