Lindsay Anderson is an Associate Professor in Biological and Environmental Engineering and the Norman R. Scott Sesquicentennial Faculty Fellow, as well as the Kathy Dwyer Marble and Curt Marble Faculty Director for Energy with the Atkinson Center for a Sustainable Future. Professor Anderson's overarching goal is to accelerate the transition to a low carbon energy future. She is particularly interested in the effective integration of wind and solar resources, through the leveraging of distributed and demand side resources. Anderson' s approach to this problem is through improvement of operational strategies to include supply and demand side resources in frameworks for optimization under uncertainty.
Professor Anderson’s research interests focus on the application of systems modeling and optimization to energy and the environment. Current projects include mitigation of wind generation uncertainty through the use of other renewable energy sources, the cost of wind energy uncertainty on existing power systems, and the implications of process uncertainties in biofuels production outcomes.
Professor Anderson teaches students computer modeling of realistic problems in biological and environmental engineering. Her teaching approach is hands-on and interactive, using case-based model development. Her current courses are BEE 1510 Introduction to Computer Programming and BEE 4880 Applied Modeling and Simulation for Renewable Energy Systems.
Awards and Honors
- Fellow, Norman R. Scott Sesquicentennial Faculty Fellowship in Energy Systems Engineering (2012) Cornell University
- NSF Career Award (2018) NSF
- Research Excellence Award (2016) Cornell Engineering
- Mr. and Mrs. Richard F. Tucker Teaching Award (2011) Cornell University, College of Engineering
- Doctoral Dissertation Award (2004) Canadian Applied and Industrial Mathematics Society
- Anderson, C. L., & Cardell, J. B. (2014). A Decision Framework for Optimal Pairing of Wind and Demand Response Resources. IEEE Systems Journal. 99:#N/A.
- Anderson, C. L., Burke, N., & Davison, M. (2014). Optimal Management of Wind Energy with Storage: Structural Implications for Policy and Market Design. Journal of Energy Engineering. B4014002.
- Murage, M. W., & Anderson, C. L. (2014). Contribution of pumped hydro storage to integration of wind power in Kenya: An optimal control approach. Renewable Energy. 63.
- Murillo-Sanchez, C., Zimmerman, R. D., Anderson, C. L., Thomas, R. J., & , (2013). A Stochastic, Contingency-Based Security-Constrained Optimal Power Flow for the Procurement of Energy and Distributed Reserve. Decision Support Systems. 56:1-10.
- Murillo-Sánchez, C. E., Zimmerman, R. D., Anderson, C. L., & Thomas, R. J. (2013). Secure Planning and Operations of Systems with Stochastic Sources, Energy Storage and Active Demand. IEEE Transactions on Smart Grid. 4:2220-2229.
- Anderson, C. L., & Davison, M. (2009). The Application of Cash-Flow-at-Risk to Risk Management in a Deregulated Electricity Market. Human and Ecological Risk Assessment (Special Issue). 15:253-269.
- Liu, X., O'Carroll, D. M., Petersen, E. J., Huang, Q., & Anderson, C. L. (2009). Mobility of Multiwalled Carbon Nanotubes in Porous Media. Environmental Science & Technology. 43:8153-8158.
- Anderson, C. L., & Davison, M. (2008). A Hybrid System-Econometric Model for Electricity Spot Prices: Considering Spike Sensitivity to Forced Outage Distributions. IEEE Transactions on Power Systems. 23:927-937.
- Anderson, C. L., & Davison, M. (2005). An Aggregate Weibull Method for Modelling Short-term Generating Capacity. IEEE Transactions on Power Systems. 20:1783-1789.
- Anderson, C. L., Davison, M., Marcus, B., & Anderson, K. (2002). Development of a Hybrid Model for Electricity Spot Prices. IEEE Transactions on Power Systems. 17:257-264.
Presentations and Activities
- Secure Planning and Operations of Systems with Stochastic Sources, Energy Storage and Active Demand. FERC Technical Conference on Increasing Real-Time and Day-Ahead Market Efficiency through Improved Software. June 2013. Federal Energy Regulatory Commission. Washington, DC USA.