NOWIcob
NOWIcob publications
The NOWIcob model simulates the maintenance activities and related logistics of offshore wind farms to estimate availability and operation and maintenance costs and analyse O&M strategies.
Some of the results related to the development and application of the NOWIcob model are described in the references listed below.
- Sperstad I.B.; Kolstad, M.; Hofmann, M. (2017): Technical documentation of version 3.3 of the NOWIcob tool. Report no. TR A7374, v. 4.0; SINTEF Energy Research, Trondheim.
- Sperstad I.B.; Kolstad, M.; Hofmann, M. (2017): User guide for version 3.3 of the NOWIcob tool. Report no. TR A7372, v. 4.0; SINTEF Energy Research, Trondheim.
- Myklebust, H.O.V.; Eidsvik, J.; Sperstad, I.B; Bhattacharjya, D. (2020). Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance. Decision Analysis, vol. 17, pp. 134-153.
- Judge, F.; McAuliffe, F.D.; Sperstad, I.B.; Chester, R.; Flannery, B.; Lynch, K.; Murphy, J. (2019): A lifecycle financial analysis model for offshore wind farms. Renewable and Sustainable Energy Reviews, vol. 103, pp. 370-383.
- Myklebust, H.O.V. (2018): Estimating the Value of Information Using Bayesian Optimization with Gaussian Process Surrogate Models - An Application to Failure Rates at Offshore Wind Farms. Master thesis, Norwegian University of Science and Technology.
- Welte, T. M.; Sperstad, I. B.; Halvorsen-Weare, E. Espeland; Netland, Ø.; Nonås, L. M.; Stålhane, M. (2018): "Operation and maintenance modelling," in Offshore Wind Energy Technology, O. Anaya-Lara, J. O. Tande, K. Uhlen, and K. Merz, Eds., ed Chichester: Wiley.
- Nielsen, J. S.; Sørensen, J. D.; Sperstad, I. B.; Welte, T. M. (2018). A Bayesian network based approach for integration of condition-based maintenance in strategic offshore wind farm O&M simulation models. Presented at the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE), Ghent, Belgium.
- McAuliffe, F. D.; Lynch, K.; Sperstad, I. B.; Nonås, L. M.; Halvorsen-Weare, E. E.; Jones, D.; Akbari, N.; Wall, G.; Irawan, C.; Norstad, I.; Stålhane, M; Murphy, J. (2018): The LEANWIND suite of logistics optimisation and full lifecycle simulation models for offshore wind farms. Journal of Physics: Conference Series, vol. 1104, p. 012002.
- Sperstad, I.B.; Stålhane, M.; Dinwoodie, I.; Endrerud, O.-E.V.; Martin, R.; Warner, E. (2017): Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms. Ocean Engineering, vol. 145, pp. 334–343.
- Welte, T.M.; Sperstad, I.B.; Sørum, E.H.; Kolstad, M.L. (2017): Integration of Degradation Processes in a Strategic Offshore Wind Farm O&M Simulation Model. Energies, 10, 925.
- Sperstad, I.B.; McAuliffe, F.D.; Kolstad, M.; Sjømark, S. (2016): Investigating key decision problems to optimise the operation and maintenance strategy of offshore wind farms. Energy Procedia, vol. 94, pp. 261–268.
- Gallala, M.R. (2016): Surrogate-based optimisation using artificial neural networks – Identifying profitable O&M strategies for offshore wind farms through stochastic simulations. Master thesis, Norwegian University of Science and Technology.
- Sperstad, I.B.; Halvorsen-Weare, E.E.; Hofmann, M.; Nonås, L.M.; Stålhane, M.; Wu, M. (2014): A Comparison of Single- and Multi-parameter Wave Criteria for Accessing Wind Turbines in Strategic Maintenance and Logistics Models for Offshore Wind Farms. Energy Procedia, vol. 53, pp. 221-230.
- Hofmann, M.; Sperstad, I.B. (2014): Will 10 MW wind turbines bring down the operation and maintenance cost of offshore wind farms? Energy Procedia, vol. 53, pp. 231-238.
- Netland, Ø.; Sperstad, I.B.; Hofmann, M.; Skavhaug, A. (2014): Cost-benefit evaluation of remote inspection of offshore wind farms by simulating the operation and maintenance phase. Energy Procedia, vol. 53, pp. 239-247.
- Hofmann, M.; Sperstad, I.B. (2013): NOWIcob – A tool for reducing the maintenance costs of offshore wind farms. Energy Procedia, vol. 35, 2013, pp. 177–186.
- Hagen, B.; Simonsen, I.; Hofmann, M.; Muskulus, M. (2013): A multivariate Markov weather model for O&M simulation of offshore wind parks. Energy Procedia, vol. 35, pp. 137-147.
- Hagen, B.A.L. (2013): Sensitivity Analysis of O&M Costs for Offshore Wind Farms. Master thesis, Norwegian University of Science and Technology.