The increasing impact of weather on electricity supply and demand

Wind and solar power have experienced rapid cost declines and are being deployed at scale. However, their output variability remains a key problem for managing electricity systems, and the implications of multi-day to multi-year variability are still poorly understood. As other energy-using sectors are electrified, the shape and variability of electricity demand will also change. We develop an open framework for quantifying the impacts of weather on electricity supply and demand using the Renewables.ninja and DESSTINEE models. We demonstrate this using a case study of Britain using National Grid's Two Degrees scenario forwards to 2030.

[1]  Geoffrey P. Hammond,et al.  Detailed simulation of electrical demands due to nationwide adoption of heat pumps, taking account of renewable generation and mitigation , 2016 .

[2]  Iain Staffell,et al.  The importance of open data and software: Is energy research lagging behind? , 2017 .

[3]  David J. Sailor,et al.  Vulnerability of wind power resources to climate change in the continental United States , 2002 .

[4]  Iain Staffell,et al.  Measuring the progress and impacts of decarbonising British electricity , 2017 .

[5]  G. Rizzoni,et al.  A highly resolved modeling technique to simulate residential power demand , 2013 .

[6]  D. Parker,et al.  A new daily central England temperature series, 1772–1991 , 1992 .

[7]  Simon Sansregret,et al.  Load duration curve: A tool for technico-economic analysis of energy solutions , 2008 .

[8]  Lion Hirth,et al.  Carpe diem: A novel approach to select representative days for long-term power system modeling , 2016 .

[9]  D. Vuuren,et al.  Modeling global residential sector energy demand for heating and air conditioning in the context of climate change , 2009 .

[10]  Willett Kempton,et al.  Cost-minimized combinations of wind power, solar power and electrochemical storage, powering the grid up to 99.9% of the time , 2013 .

[11]  Iain Staffell,et al.  How does wind farm performance decline with age , 2014 .

[12]  William D'haeseleer,et al.  Impact of the level of temporal and operational detail in energy-system planning models , 2016 .

[13]  Thomas Hamacher,et al.  Integration of wind and solar power in Europe: Assessment of flexibility requirements , 2014 .

[14]  R. Barthelmie,et al.  Climate change impacts on wind energy: A review , 2010 .

[15]  Yongxiu He,et al.  Urban long term electricity demand forecast method based on system dynamics of the new economic normal: The case of Tianjin , 2017 .

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

[17]  S. Pfenninger,et al.  Using bias-corrected reanalysis to simulate current and future wind power output , 2016 .

[18]  Martin Greiner,et al.  Cost-optimal design of a simplified, highly renewable pan-European electricity system , 2015 .

[19]  Björn Müller,et al.  Projections of long-term changes in solar radiation based on CMIP5 climate models and their influence on energy yields of photovoltaic systems , 2015 .

[20]  S. Pfenninger,et al.  Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data , 2016 .

[21]  John Methven,et al.  The impact of large scale atmospheric circulation patterns on wind power generation and its potential predictability: A case study over the UK , 2011 .

[22]  L. Shaffrey,et al.  Quantifying the increasing sensitivity of power systems to climate variability , 2016 .

[23]  Andrew Rice,et al.  Open source software and crowdsourcing for energy analysis , 2012 .

[24]  Atul K. Raturi,et al.  Renewables 2016 Global status report , 2015 .

[25]  Dirk J. Cannon,et al.  The Impact of Future Offshore Wind Farms on Wind Power Generation in Great Britain , 2015 .

[26]  Iain Staffell,et al.  Is There Still Merit in the Merit Order Stack? The Impact of Dynamic Constraints on Optimal Plant Mix , 2016, IEEE Transactions on Power Systems.

[27]  C. Frantzidis,et al.  Response to Reviewers Reviewer #1 , 2010 .

[28]  S. Pfenninger Energy scientists must show their workings , 2017, Nature.

[29]  Frieder Borggrefe,et al.  The potential of demand-side management in energy-intensive industries for electricity markets in Germany , 2011 .

[30]  Dirk J. Cannon,et al.  Using reanalysis data to quantify extreme wind power generation statistics: A 33 year case study in Great Britain , 2015 .

[31]  Peter J. G. Pearson,et al.  The role of large scale storage in a GB low carbon energy future: Issues and policy challenges , 2011 .

[32]  S. Pfenninger,et al.  Renewables, nuclear, or fossil fuels? Scenarios for Great Britain’s power system considering costs, emissions and energy security , 2015 .

[33]  Rob J Hyndman,et al.  Density Forecasting for Long-Term Peak Electricity Demand , 2010, IEEE Transactions on Power Systems.

[34]  Stefan Pfenninger,et al.  Comparing concentrating solar and nuclear power as baseload providers using the example of South Africa , 2015 .

[35]  Paul Denholm,et al.  Grid flexibility and storage required to achieve very high penetration of variable renewable electricity , 2011 .

[36]  J. Widén,et al.  A high-resolution stochastic model of domestic activity patterns and electricity demand , 2010 .

[37]  Jon Olauson,et al.  Correlation between wind power generation in the European countries , 2016 .

[38]  Michael Laughton Variable Renewables and the Grid: An Overview , 2012 .

[39]  Iain Staffell,et al.  High solar photovoltaic penetration in the absence of substantial wind capacity: Storage requirements and effects on capacity adequacy , 2017 .

[40]  Andreas Schroeder,et al.  The integration of renewable energies into the German transmission grid—A scenario comparison , 2013 .

[41]  Ian Richardson,et al.  Assessing heat pumps as flexible load , 2013 .

[42]  V. Ismet Ugursal,et al.  Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .

[43]  W. R. Morrow,et al.  The Technology Path to Deep Greenhouse Gas Emissions Cuts by 2050: The Pivotal Role of Electricity , 2012, Science.

[44]  I. Staffell,et al.  The impact of climate change on the levelised cost of wind energy , 2017 .

[45]  S. Majithia,et al.  Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment , 2009 .

[46]  Christian von Hirschhausen,et al.  How a "Low Carbon" Innovation Can Fail--Tales from a "Lost Decade" for Carbon Capture, Transport, and Sequestration (CCTS) , 2012 .

[47]  Adam A. Scaife,et al.  The relationship between wind power, electricity demand and winter weather patterns in Great Britain , 2017 .

[48]  Timothy J. Foxon,et al.  Transition pathways for a UK low carbon electricity future , 2013 .

[49]  P. Forster,et al.  Climate change impacts on future photovoltaic and concentrated solar power energy output , 2011 .

[50]  I. Staffell,et al.  The Shape of Future Electricity Demand: Exploring Load Curves in 2050s Germany and Britain , 2015 .

[51]  Adam Hawkes,et al.  The future cost of electrical energy storage based on experience rates , 2017, Nature Energy.

[52]  David Infield,et al.  Domestic electricity use: A high-resolution energy demand model , 2010 .

[53]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[54]  Adam A. Scaife,et al.  The role of temperature in the variability and extremes of electricity and gas demand in Great Britain , 2016 .

[55]  M. O'Malley,et al.  Electrification of residential space heating considering coincidental weather events and building thermal inertia: A system-wide planning analysis , 2017 .

[56]  Ertuğrul Çam,et al.  Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines , 2015 .

[57]  Peter Lund,et al.  Review of energy system flexibility measures to enable high levels of variable renewable electricity , 2015 .

[58]  Stefan Pfenninger,et al.  Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability , 2017 .

[59]  Joakim Widen,et al.  Correlations Between Large-Scale Solar and Wind Power in a Future Scenario for Sweden , 2011, IEEE Transactions on Sustainable Energy.

[60]  Richard Green Are the British electricity trading and transmission arrangements future-proof? , 2010 .

[61]  G. Sinden Characteristics of the UK wind resource: Long-term patterns and relationship to electricity demand , 2007 .

[62]  Godfrey Boyle,et al.  Renewable Electricity and the Grid : The Challenge of Variability , 2007 .

[63]  O. Edenhofer,et al.  Climate change 2014 : mitigation of climate change , 2014 .

[64]  Adam Hawkes,et al.  A review of domestic heat pumps , 2012 .