Seta Bogosyan OISE Office Of Internatl Science &Engineering
O/D Office Of The Director
October 1, 2012
September 30, 2017 (Estimated)
Awarded Amount to Date:
Charles Meneveau email@example.com (Principal Investigator)
Benjamin Hobbs (Co-Principal Investigator) Rajat Mittal (Co-Principal Investigator) Seth Guikema (Co-Principal Investigator) Dennice Gayme (Co-Principal Investigator)
Johns Hopkins University
3400 N CHARLES ST
Program Reference Code(s):
5914, 5947, 5948, 5950, 5952, 7566
Program Element Code(s):
This U.S.-European Partnership for International Research and Education (PIRE) will engage graduate and undergraduate students, post-docs, and faculty from ten institutions to address pressing research questions that arise when adding the inherently intermittent wind-energy source to our power systems. The partnership includes U.S. researchers from Johns Hopkins University, Texas Tech University, Smith College, and the University of Puerto Rico. International partners in Europe include research groups in wind energy at the Danish Technical University and Risř Laboratory in Denmark, the Energy Research Center of the Netherlands (ECN), École Polytechnique Fédérale de Lausanne in Switzerland, Katholieke Universiteit Leuven in Belgium, and Comillas Pontifical Universidad in Spain. The team's cooperative research efforts will be tightly integrated with a training program that includes carefully designed international experiences. Overall, the intent is to jointly generate tools to better understand, characterize, and manage the consequences of wind power fluctuations. Results should help define more efficient methods for utilizing wind as a sustainable, cost-effective power source. By focusing on statistical tools to examine predictability, multiple time scales, and spatial and temporal variability of wind fluctuations, the US-European team expects to gain new and timely knowledge about the physical sources of variability and intermittency, such as atmospheric turbulence, and about the effects of various wind-farm parameters such as inter-turbine spacing, orientations, ground roughness, and wind conditions. To accomplish this, computational fluid dynamics tools will be developed and validated with laboratory and field observations. Secondly, results from parametric model runs will be used to develop basic understanding and obtain the necessary statistical characterizations of variability as functions of wind-farm parameters, using tools such as response-surface estimation, statistical multi-scale methods, and co-spectra. Thirdly, these characterizations will be coupled to production costing and planning models of the power grid for validation and further development. The PIRE research partners expect these models to help determine how wind farm parameters affect ancillary service requirements and how storage and demand response can be used most effectively. For broader impact, the new grid modeling tools that incorporate improved statistical characterizations of wind-farm output variability should help optimize future resource siting and design. Fourth, results are to be integrated with models of power markets and economic impacts. Econometric methods and market data may be used to propose potential, new policy levers and market designs to support practical, cost-effective adoption of renewable, highly intermittent energy sources. Central to the PIRE activities are core education, training and mentoring components. U.S. student participants will benefit from innovative courses in wind energy, computer modeling, power networks, economic management and economics, several taken abroad at partner institutions. Additionally, periodic research-focused site visits to European institutions and installations by U.S. students, faculty, and post-docs will facilitate access and ensure more rapid transfer of relevant technical knowledge to advance current understanding of wind power variability and its management. The U.S. PIRE project will operate under the aegis of Johns Hopkins University's Environment, Energy, Sustainability and Health Institute (E2SHI), which promotes cross-disciplinary research, outreach, and education for critical sustainability issues. Furthermore, the project will leverage close ties between Texas Tech University's National Wind Resource Center, several industries and national laboratories, as well as a number of utilities and agencies in the U.S. Mid-Atlantic, Northeast and Texas. This level of engagement provides a straight forward means for expediting the translation of promising results into practice. The project is funded by NSF's Office of International Science and Engineering (OISE) through the PIRE.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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Seth Guikema, Andrea Staid. "Statistical Analysis of Installed Wind Capacity in the United States," Energy Policy, v.60, 2013, p. 378.
A. Staid, S.D. Guikema. "Statistical Analysis of Installed Wind Capacity in the United States," Energy Policy, v.60, 2013, p. 378-385.
B. Wang and B.F. Hobbs. "A flexible ramping product: Can it help real-time dispatch markets approach the stochastic dispatch ideal?," Electric Power Systems Research, v.109, 2014, p. 128? 140.
C, Ancher, B. Colle, L.D. Monache, M. Dvorak, J. Lundquist, B. Baily, P. Beaucage, M. Churchfield, A. Fitch, B. Kosovic, S. Lee, P. Moriarty, H. Simao, R.J.A.M. Stevens, D. Veron, J. Zack. "Meteorology for Coastal/Offshore Wind Energy in the United States: Recommendations and Research Needs for the Next 10 Years," Bulletin of American Meteorological Society, v.95, 2014.
C. Lindsay Anderson, Judith B. Cardell. "Wind Power Uncertainty and Power System Performance," Engineering, Special Issue on Power and Electrical Engineering, v.5, 2013, p. 41-51.
C. Ruiz, A. Conejo, D. Fuller, S.A. Gabriel, and B.F. Hobbs. "A Tutorial Review of Complementarity Models for Decision Making in Energy Markets," EURO Journal on Decision Processes, v.2, 2014, p. 91-120.
C. VerHulst and C. Meneveau. "Large eddy simulation study of the kinetic energy entrainment by energetic turbulent flow structure in large wind farms.," Physics of Fluids, v.26, 2014, p. 025113.
Cedric de Jonghe, Benjamin Hobbs, Ronnie Belmans. "Value of Price Responsive Load for Wind Integration in Unit Commitment,," IEEE Transactions on Power Systems, v.29, 2014, p. 675-685.
D. Yang, C. Meneveau and L. Shen. "Effect of Swells on offshore wind energy harvesting a large-eddy simulation study," Renewable Energy, v.70, 2014, p. 11-23.
D. Yang, C. Meneveau and L. Shen. "Large-Eddy Simulation of off-shore wind farm," Physics of Fluids, v.26, 2014, p. 025101.
F.D. Munoz, B.F. Hobbs, J. Ho, and S. Kasina. "?An Engineering-Economic Approach to Transmission Planning Under Market and Regulatory Uncertainties: WECC Case Study?," IEEE Transactions on Power Systems, v.29, 2014, p. 307-317.
L.A. Martinez-Tossas, M.J. Churchfield & S. Leonardi. "Large eddy simulations of the flow past wind turbines: actuator line and disk modeling," Article first published online - 04/10/2014, 2014.
R.J.A.M. Stevens and C. Meneveau. "Temporal structure of aggregate power fluctuations in large eddy simulations of extended wind-farms," J. Sustainable & Renewable Energy, v.6, 2014, p. 043102.
R.J.A.M. Stevens, J. Graham and C. Meneveau. "A concurrent precursor method to simulate finite size wind farms in large eddy simulations," Renewable Energy, 2014, p. 45-50.
Richard Stevens, Dennice Gayme, Charles Meneveau. "Large Eddy Simulation studies of the effects of alignment and wind farm length," Journal of Renewable & Sustainable Energy, v.6, 2014, p. 023105.
A. Castillo and D. F. Gayme,. "?Energy Storage and the Grid Integration of Renewable Energy Sources: A Survey?," Energy Conversion and Management, v.87, 2014, p. 885-894.
A. Staid, P. Pinson & S.D. Guikema. "Probabilistic maximum-value wind prediction for offshore environments," Wind Energy, 2014.
A. Staid, S. Guikema. "Risk Analysis for U.S. Offshore Wind Farms: The Need for an Integrated Approach.," Risk Analysis, 2014, p. 587?593.
A. Staid, S.Guikema, R. Nateghi. S.M. Quiring, and M. Gao.. "?Simulation of tropical cyclone impacts to the U.S. power system under climate change scenarios,?," Climatic Change, v.127, 2014, p. 535-546.
B. Wang, B.F. Hobbs. ", ?A Flexible Ramping Product: Can It Help Real-Time Dispatch Markets Approach the Stochastic Dispatch Ideal??," Electric Power Systems Research, v.109, 2014, p. 128-140.
B. Wang, B.F. Hobbs. ""Real-Time Markets for Flexiramp: A Stochastic Unit Commitment-based Analysis?," IEEE Transactions on Power Systems, v.PP, 2015, p. 1-5.
B. Wang, D. F. Gayme, X. Liu. K. Wang. ""Optimal Siting and Sizing of Demand Response in a Transmission Constrained System with High Wind Penetration"," Int?l Journal of Electrical Power & Energy Systems, v.68, 2015, p. 71-80.
C. De Jonghe, B.F. Hobbs, R. Belmans. "?Value of Price Responsive Load for Wind Integration in Unit Commitment?," IEEE Transactions on Power Systems, v.29, 2014, p. 675-685.
C. Ruiz, A. Conejo, D. Fuller, S.A. Gabriel, B.F. Hobbs. "?A Tutorial Review of Complementarity Models for Decision Making in Energy Markets"," EURO Journal on Decision Processes, v.2, 2014, p. 91-120.
C. VerHulst, C. Meneveau. "?Altering kinetic energy entrainment in LES of large wind farms using unconventional wind turbine actuator forcing?," Energies, 2015, p. 370-386.
C.L. Archer, B.A. Colle, L.D. Monache, M. Dvorak, J. Lundquist, B. Baily, P. Beaucage, M. Chruchfield, A. Fitch, B. Kosovic, S. Lee, P. Moriarty, H. Simao, R.J.A.M. Stevens, D. Veron, J. Zack. ""Meteorology for coastal/offshore wind energy in the US: Research needs for the next 10 years"," Bulletin of the American Meteorological Society, 2014, p. 515-519.
C.M. de Silva, I. Marusic, J. D. Woodcock, C. Meneveau. "?Scaling of second- and high-order structure functions in turbulent boundary layers?," Fluid Mech, v.769, 2015, p. 769-689.
E. Shayesteh, B.F. Hobbs, L. Söder, and M. Amelin. "?ATC-Based System Reduction for Planning Power Systems With Correlated Wind and Loads?," IEEE Transactions on Power Systems,, v.30, 2015, p. 429-438.
H. Sarlak, C. Meneveau and J.N. Sřrensen. "?Role of subgrid-scale modelling in large eddy simulation of wind turbine wake interactions?," Renewable Energy, 2014, p. 386-399.
J. Cardell & L. Anderson. ""Targeting existing power plants: EPA emission reduction with wind and demand response"," Energy Policy, v.80, 2015, p. 11-23.
J. Cardell, C. Lindsay Anderson. "A Flexible Dispatch Margin for Wind Integration," IEEE PES Transactions on Power Systems, v.30, 2015, p. 1501-1510.
J. Newman, D. Drew, and L. Castillo. "?Pseudo Spectral Analysis of the Energy Entrainment in a Scaled Down Wind Farm?," Journal of Renewable Energy, 2014, p. 129-141.
J. Newman, D. Drew, L. Castillo. ""Pseudo Spectral Analysis of the Energy Entrainment in a Scaled Down Wind Farm".," Journal of Renewable Energy,, v.Vol. 70, 2014, p. 129-141.
J. Newman, R. Bayo Cal, L. Castillo. ""Blade number effects in a scaled down wind farm"," Renewable Energy, v.81, 2015, p. 472e481.
J. U. Bretheim, C. Meneveau, D. F. Gayme. ""Standard Logarithmic Mean Velocity Distribution in a Band-Limited Restricted Nonlinear Model of Turbulent Flow in a Half-Channel"," ", Physics of Fluids, v.27, 2015, p. 011702.
L. Deng, P. Renson, and B.F. Hobbs. "?What is the Cost of Negative Bidding by Wind? A Unit Commitment Analysis of Cost and Emissions?," IEEE Transactions on Power Systems, v.PP, 2014, p. 1-10.
L.A. Martinez-Tossas, M.J. Chruchfield, C. Meneveau. ""Large Eddy Simulation of wind turbine wakes: detailed comparisons of two codes focusing on effects of numeric and subgrid modeling"," Journal of Physics: Conference Series Wake Conference 2015, v.625, 2015.
M. Wilczek, R.J.A.M. Stevens, C. Meneveau. "?Height-dependence of spatio-temporal spectra of wall-bounded turbulence LES results model predictions"," Turbulence, v.16, 2015, p. 937-949.
M. Wilczek, R.J.A.M. Stevens, C. Meneveau. "?Spatio-temporal spectra in the logarithmic layer of wall turbulence: large-eddy simulations and simple models?," Fluid Mech, v.769, 2015.
M. Wilczek, R.J.A.M. Stevens, Y. Narita, C. Meneveau,. "?A wave number-frequency spectral model for atmospheric boundary layers?," Physics Conf. Ser. ., v.524,, 2014.
O. Ozdemir, F. Munoz, J. Ho, and B.F. Hobbs. "?Economic Analysis of Transmission with Demand Response and Quadratic Losses by Successive LP?," IEEE Transactions on Power Systems, v.PP, 2015, p. 0885-8650.
R.J.A.M. Stevens. "?Dependence of optimal wind-turbine spacing on wind-farm length?," Wind Energy, 2015.
R.J.A.M. Stevens, C. Meneveau. "?Temporal structure of aggregate power fluctuations in large-eddy simulations of extended wind-farms?," Renewable and Sustainable Energy, 2014, p. 043102.
R.J.A.M. Stevens, D.F. Gayme and C. Meneveau. "?Large Eddy Simulation studies of the effects of alignment and wind farm length.?," Renew. Sust. Energy, v.6, 2014.
R.J.A.M. Stevens, D.F. Gayme, C. Meneveau. "?Coupled wake boundary layer model of wind farms?," Renewable and Sustainable Energy, v.7, 2015, p. 023115.
R.J.A.M. Stevens, D.F. Gayme, C. Meneveau. "?Effects of turbine spacing on the power output of extended wind-farms?," Wind Energy, 2015.
R.J.A.M. Stevens, J. Graham, C. Meneveau. "?A concurrent precursor inflow method for Large Eddy Simulations and applications to finite length wind farms?," Renewable Energy, v.68, 2014, p. 46-50.
R.J.A.M. Stevens, M. Wilczek and C. Meneveau. ""Large-eddy simulation study of the logarithmic law for second and higher-order moments in turbulent wall-bounded flow"," Fluid Mech., v.757, 2014, p. 888-907.
R.J.A.M.Stevens, D. Gayme, C. Meneveau. ""Using the coupled wake boundary layer model to evaluate the effect of turbulence intensity on wind farm performance"," Journal of Physics: Conference Series, v.625, 2015.
S. Pol, A.Taylor, A. Bilbao, A. Doostalab, S. Novoa, C. Westergaard, F. Hussain, J. Sheng, B. Ren, M. Gissleman,M. Glausser, L. Castillo. ""Field Measurements in the Wake of a Model Turbine"," Physics: Conference Series, v.524, 2014, p. 012475.
S. Wogrin and D. F. Gayme. "?Optimizing Storage Siting, Sizing and Technology Portfolios in Transmission-Constrained Networks?," IEEE Trans. on Power Systems, v.PP, 2014, p. 1-10.
V. Maldonado, L. Castillo, A. Thormann, C. Meneveau. ""The Role of Free Stream Turbulence with Large Integral Scale on the Aerodynamic Performance of an Experimental Low Reynolds Number S809 Wind Turbine Blade".," Wind Eng. Ind. Aerodyn, v.142, 24, 2015.
W. Gutierrez, G. Araya, S. Basu, A. Ruiz-Columbie, L. Castillo. "Toward Understanding Low Level Jet Climatology over West Texas and its Impact on Wind Energy," Physics: Conference Series, v.524, 2014.