The role of floating offshore wind in a renewable focused electricity system for Great Britain in 2050

Abstract Floating offshore wind energy is an emerging technology that provides access to new wind generation sites allowing for a diversified wind supply in future low carbon electricity systems. We use a high spatial and temporal resolution power system optimisation model to explore the conditions that lead to the deployment of floating offshore wind and the effect this has on the rest of the electricity system for Great Britain in 2050. We perform a sensitivity analysis on three dimensions: total share of renewables, floating offshore costs and the impact of waves on operation. We find that all three impact the deployment of floating offshore wind energy. A clear competition between floating offshore wind and conventional offshore wind is demonstrated, with less impact on other renewable sources. It is shown that floating wind is used to provide access to greater spatial diversification. Further, access to more distant regions also affects the optimal placement of conventional offshore wind, as spatial diversification is spread between floating and bottom-mounted sites.

[1]  S Pacala,et al.  Stabilization Wedges: Solving the Climate Problem for the Next 50 Years with Current Technologies , 2004, Science.

[2]  Angus Walker Will the clampdown on onshore wind cause an ‘energy crunch’ in the UK? , 2016 .

[3]  J. Hansen,et al.  Climate Impact of Increasing Atmospheric Carbon Dioxide , 1981, Science.

[4]  Jens Peter Kofoed,et al.  Optimal siting of offshore wind-power combined with wave energy through a marine spatial planning approach , 2013 .

[5]  Ioannis P. Panapakidis,et al.  Impact of the penetration of renewables on flexibility needs , 2017 .

[6]  Birgit Fais,et al.  The potential of marine energy technologies in the UK – Evaluation from a systems perspective , 2018 .

[7]  Ryan Wiser,et al.  Strategies to mitigate declines in the economic value of wind and solar at high penetration in California , 2015 .

[8]  N. Strachan,et al.  The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets , 2016 .

[9]  Laura Castro-Santos,et al.  Economic influence of location in floating offshore wind farms , 2015 .

[10]  Maryse Labriet,et al.  ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure , 2008, Comput. Manag. Sci..

[11]  Laura Castro-Santos,et al.  Economic feasibility of floating offshore wind farms , 2016 .

[12]  Stephen C. Mangi,et al.  The potential of offshore windfarms to act as marine protected areas – A systematic review of current evidence , 2014 .

[13]  David Pozo-Vázquez,et al.  A methodology for evaluating the spatial variability of wind energy resources: Application to assess the potential contribution of wind energy to baseload power , 2014 .

[14]  Thomas Ackermann,et al.  Loss evaluation of HVAC and HVDC transmission solutions for large offshore wind farms , 2006 .

[15]  M. Saguan,et al.  Optimal wind power deployment in Europe-A portfolio approach , 2010 .

[16]  Uang,et al.  The NCEP Climate Forecast System Reanalysis , 2010 .

[17]  A. G. Dutton,et al.  An Offshore Wind Energy Geographic Information System (OWE-GIS) for assessment of the UK's offshore wind energy potential , 2016 .

[18]  Chanan Singh,et al.  A quantitative approach to wind farm diversification and reliability , 2011 .

[19]  Maureen Hand,et al.  Expert elicitation survey on future wind energy costs , 2016, Nature Energy.

[20]  R. Roebeling,et al.  Operational climate monitoring from space: the EUMETSAT Satellite Application Facility on Climate Monitoring (CM-SAF) , 2008 .

[21]  William D'haeseleer,et al.  Optimal portfolio-theory-based allocation of wind power : taking into account cross-border transmission-capacity constraints , 2011 .

[22]  S. Pfenninger,et al.  Balancing Europe’s wind power output through spatial deployment informed by weather regimes , 2017, Nature climate change.

[23]  Neil Strachan,et al.  Indirect CO2 Emission Implications of Energy System Pathways: Linking IO and TIMES Models for the UK. , 2015, Environmental science & technology.

[24]  Ruoyu Zhang,et al.  Dynamic response in frequency and time domains of a floating foundation for offshore wind turbines , 2013 .

[25]  Birgit Fais,et al.  Impact of technology uncertainty on future low-carbon pathways in the UK , 2016 .

[26]  Francesco Fusco,et al.  Variability reduction through optimal combination of wind/wave resources – An Irish case study , 2010 .

[27]  A. Pacheco,et al.  An evaluation of offshore wind power production by floatable systems: A case study from SW Portugal , 2017 .

[28]  Mark Z. Jacobson,et al.  Energy modelling: Clean grids with current technology , 2016 .

[29]  Birgit Fais,et al.  Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather , 2018 .

[30]  D. Konadu,et al.  Low carbon electricity systems for Great Britain in 2050: An energy-land-water perspective , 2018, Applied Energy.

[31]  Inigo J. Losada,et al.  Met‐ocean conditions influence on floating offshore wind farms power production , 2016 .

[32]  Donna Heimiller,et al.  2016 Offshore Wind Energy Resource Assessment for the United States , 2016 .