26 citations · 55 across the 6 of their papers we have counts for
6 papers
Uncertainty-Aware Grid Planning in the Real World: A Method Enabling Large-Scale, Two-Stage Adaptive Robust Optimization for Capacity Expansion Planning
Gabriel Mantegna, Emil Dimanchev, Filippo Pecci +2
Capacity expansion models are frequently used to inform multi-billion dollar grid infrastructure decisions, a context in which there is significant uncertainty surrounding the futu…
Modelling to Generate Continuous Alternatives: Enabling Real-Time Feasible Portfolio Generation in Convex Planning Models
Michael Lau, Xin Wang, Neha Patankar +1
Decarbonization provides new opportunities to plan energy systems for improved health, resilience, equity, and environmental outcomes, but challenges in siting and social acceptanc…
Reducing transmission expansion by co-optimizing sizing of wind, solar, storage and grid connection capacity
Aneesha Manocha, Gabriel Mantegna, Neha Patankar +1
Expanding transmission capacity is likely a bottleneck that will restrict variable renewable energy (VRE) deployment required to achieve ambitious emission reduction goals. Interco…
Land Use Trade-offs in Decarbonization of Electricity Generation in the American West
Neha Patankar, Xiili Sarkela-Basset, Greg Schivley +2
Land-use conflicts may constrain the unprecedented rates of renewable energy deployment required to meet the decarbonization goals of the Inflation Reduction Act (IRA). This paper…
Improving the Representation of Energy Efficiency in an Energy System Optimization Model
Neha Patankar, Harrison G. Fell, Anderson Rodrigo de Queiroz +2
Energy system optimization models (ESOMs) are designed to examine the potential effects of a proposed policy, but often represent energy-efficient technologies and policies in an o…
Building Conflict Uncertainty into Electricity Planning: A South Sudan Case Study
Neha Patankar, Anderson Rodrigo de Queiroz, Joseph F. DeCarolis +2
This paper explores electricity planning strategies in South Sudan under future conflict uncertainty. A stochastic energy system optimization model that explicitly considers the po…