Evaluation of a proposal for reliable low-cost grid power with 100% wind, water, and solar

A number of analyses, meta-analyses, and assessments, including those performed by the Intergovernmental Panel on Climate Change, the National Oceanic and Atmospheric Administration, the National Renewable Energy Laboratory, and the International Energy Agency, have concluded that deployment of a diverse portfolio of clean energy technologies makes a transition to a low-carbon-emission energy system both more feasible and less costly than other pathways. In contrast, Jacobson et al. [Jacobson MZ, Delucchi MA, Cameron MA, Frew BA (2015) Proc Natl Acad Sci USA 112(49):15060–15065] argue that it is feasible to provide “low-cost solutions to the grid reliability problem with 100% penetration of WWS [wind, water and solar power] across all energy sectors in the continental United States between 2050 and 2055”, with only electricity and hydrogen as energy carriers. In this paper, we evaluate that study and find significant shortcomings in the analysis. In particular, we point out that this work used invalid modeling tools, contained modeling errors, and made implausible and inadequately supported assumptions. Policy makers should treat with caution any visions of a rapid, reliable, and low-cost transition to entire energy systems that relies almost exclusively on wind, solar, and hydroelectric power. Significance Previous analyses have found that the most feasible route to a low-carbon energy future is one that adopts a diverse portfolio of technologies. In contrast, Jacobson et al. (2015) consider whether the future primary energy sources for the United States could be narrowed to almost exclusively wind, solar, and hydroelectric power and suggest that this can be done at “low-cost” in a way that supplies all power with a probability of loss of load “that exceeds electric-utility-industry standards for reliability”. We find that their analysis involves errors, inappropriate methods, and implausible assumptions. Their study does not provide credible evidence for rejecting the conclusions of previous analyses that point to the benefits of considering a broad portfolio of energy system options. A policy prescription that overpromises on the benefits of relying on a narrower portfolio of technologies options could be counterproductive, seriously impeding the move to a cost effective decarbonized energy system.

[1]  P. Jaramillo,et al.  What day-ahead reserves are needed in electric grids with high levels of wind power? , 2013 .

[2]  Daniel M. Kammen,et al.  Power system balancing for deep decarbonization of the electricity sector , 2016 .

[3]  Christopher T. M. Clack,et al.  Modeling Solar Irradiance and Solar PV Power Output to Create a Resource Assessment Using Linear Multiple Multivariate Regression , 2017 .

[4]  Brian Vad Mathiesen,et al.  Smart Energy Systems for coherent 100% renewable energy and transport solutions , 2015 .

[5]  B. Mathiesen,et al.  100% Renewable energy systems, climate mitigation and economic growth , 2011 .

[6]  Yoram J. Kaufman,et al.  Wind reduction by aerosol particles , 2006 .

[7]  M. Jacobson Development and application of a new air pollution modeling system-part I: Gas-phase simulations , 1997 .

[8]  S. Schneider,et al.  A contribution of Working Groups I, II and III to the Third Assessment Report of the Intergovernment Panel on Climate Change , 2001 .

[9]  Bill Wong,et al.  The Performance of a High Solar Fraction Seasonal Storage District Heating System – Five Years of Operation☆ , 2012 .

[10]  Ronald Calhoun,et al.  A new formulation for rotor equivalent wind speed for wind resource assessment and wind power forecasting , 2016 .

[11]  Alexander E. MacDonald,et al.  Demonstrating the effect of vertical and directional shear for resource mapping of wind power , 2016 .

[12]  Elmar Kriegler,et al.  Getting from here to there – energy technology transformation pathways in the EMF27 scenarios , 2014, Climatic Change.

[13]  K. Nithyanandam,et al.  Cost and performance analysis of concentrating solar power systems with integrated latent thermal energy storage , 2014 .

[14]  I. MacGill,et al.  Least cost 100% renewable electricity scenarios in the Australian National Electricity Market , 2013 .

[15]  Martin Greiner,et al.  Storage and balancing synergies in a fully or highly renewable pan-European power system , 2012 .

[16]  I. MacGill,et al.  Comparing least cost scenarios for 100% renewable electricity with low emission fossil fuel scenarios in the Australian National Electricity Market , 2014 .

[17]  David G. Victor,et al.  Liquid hydrogen aircraft and the greenhouse effect , 1990 .

[18]  W. Colella,et al.  Cleaning the Air and Improving Health with Hydrogen Fuel-Cell Vehicles , 2005, Science.

[19]  María Isabel Blanco The economics of wind energy , 2009 .

[20]  B. Mathiesen,et al.  A technical and economic analysis of one potential pathway to a 100% renewable energy system , 2014 .

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

[22]  Maureen Hand,et al.  Land Use Requirements of Modern Wind Power Plants in the United States , 2009 .

[23]  Mark Z. Jacobson,et al.  100% clean and renewable wind, water, and sunlight (WWS) all-sector energy roadmaps for the 50 United States , 2015 .

[24]  Yuanfu Xie,et al.  Future cost-competitive electricity systems and their impact on US CO2 emissions , 2016 .

[25]  Alexander E. MacDonald,et al.  Linear programming techniques for developing an optimal electrical system including high-voltage direct-current transmission and storage , 2015 .

[26]  J. Kleissl,et al.  Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States , 2011 .

[27]  M. Jacobson Global direct radiative forcing due to multicomponent anthropogenic and natural aerosols , 2001 .

[28]  E. Lawrence,et al.  Understanding Trends in Wind Turbine Prices Over the Past Decade , 2011 .

[29]  J. Edmonds,et al.  Improved representation of investment decisions in assessments of CO 2 mitigation , 2015 .

[30]  John S. McCartney,et al.  The Sun Also Rises: Prospects for Solar District Heating in the United States , 2014 .

[31]  F. Dinter,et al.  Solar thermal energy storage in power generation using phase change material with heat pipes and fins to enhance heat transfer. , 2015 .

[32]  C. L. Archer,et al.  Saturation wind power potential and its implications for wind energy , 2012, Proceedings of the National Academy of Sciences.

[33]  L. Remer,et al.  Comparing results from a physical model with satellite and in situ observations to determine whether biomass burning aerosols over the Amazon brighten or burn off clouds , 2012 .

[34]  Mark Z. Jacobson,et al.  Climate response of fossil fuel and biofuel soot, accounting for soot's feedback to snow and sea ice albedo and emissivity , 2004 .

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

[36]  H. H. Wooten Major Uses of Land in the United States , 1953 .

[37]  S. Schneider,et al.  Climate Change 2001: Synthesis Report: A contribution of Working Groups I, II, and III to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2001 .

[38]  Danièle Revel,et al.  Renewable energy technologies: cost analysis series , 2012 .

[39]  Mark Z. Jacobson,et al.  Review of solutions to global warming, air pollution, and energy security , 2009 .

[40]  Albert Monroe Energy Efficiency in the United States , 2014 .

[41]  Paul Denholm,et al.  Land-Use Requirements for Solar Power Plants in the United States , 2013 .

[42]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[43]  C. Coimbra,et al.  Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database , 2011 .

[44]  Iain MacGill,et al.  Simulations of scenarios with 100% renewable electricity in the Australian National Electricity Market , 2012 .

[45]  Mark Z. Jacobson,et al.  Comment on “fully coupled ‘online’ chemistry within the WRF model,” by Grell et al., 2005. Atmospheric Environment 39, 6957–6975 , 2006 .

[46]  Aidan Duffy,et al.  A life cycle cost analysis of large-scale thermal energy storage technologies for buildings using combined heat and power , 2010 .

[47]  M. Jacobson Isolating nitrated and aromatic aerosols and nitrated aromatic gases as sources of ultraviolet light absorption , 1999 .

[48]  M. Jacobson Control of fossil‐fuel particulate black carbon and organic matter, possibly the most effective method of slowing global warming , 2002 .

[49]  J. Kleissl,et al.  Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed , 2011 .

[50]  M. Jacobson Investigating cloud absorption effects: Global absorption properties of black carbon, tar balls, and soil dust in clouds and aerosols , 2012 .

[51]  Mark Z. Jacobson,et al.  A study of day- and nighttime ozone layers aloft, ozone in national parks, and weather during the SARMAP field campaign , 2001 .

[52]  R. Wiser,et al.  Renewable Electricity Futures Study. Executive Summary , 2012 .

[53]  Enrica De Cian,et al.  Pathways to Deep Decarbonization in Italy , 2016 .

[54]  M. Jacobson Effects of Soil Moisture on Temperatures, Winds, and Pollutant Concentrations in Los Angeles , 1999 .

[55]  D. S. Breger,et al.  Central solar heating plants with seasonal storage , 1989 .

[56]  I. G. Mason,et al.  A 100% renewable electricity generation system for New Zealand utilising hydro, wind, geothermal and biomass resources , 2010 .

[57]  Veronika Eyring,et al.  Evaluation of Climate Models. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change , 2013 .

[58]  Benjamin A Carreras,et al.  Complex systems analysis of series of blackouts: cascading failure, critical points, and self-organization. , 2007, Chaos.

[59]  Mark Z. Jacobson,et al.  Effects of biomass burning on climate, accounting for heat and moisture fluxes, black and brown carbon, and cloud absorption effects , 2014 .

[60]  M. Jacobson Studying the effects of aerosols on vertical photolysis rate coefficient and temperature profiles over an urban airshed , 1998 .

[61]  M. Handschy,et al.  Variability of interconnected wind plants: correlation length and its dependence on variability time scale , 2015 .

[62]  Mark Z. Jacobson,et al.  GATOR‐GCMM: 2. A study of daytime and nighttime ozone layers aloft, ozone in national parks, and weather during the SARMAP field campaign , 2001 .

[63]  M. A. Cameron,et al.  Low-cost solution to the grid reliability problem with 100% penetration of intermittent wind, water, and solar for all purposes , 2015, Proceedings of the National Academy of Sciences.

[64]  Brian W. Barrett,et al.  Oak Ridge National Laboratory , Oak Ridge , TN , 2022 .

[65]  Michael Chertkov,et al.  Getting a grip on the electrical grid , 2013 .

[66]  W. Kempton,et al.  Taming hurricanes with arrays of offshore wind turbines , 2013 .