13 citations · 16 across the 5 of their papers we have counts for
5 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…
Measuring Exploration: Review and Systematic Evaluation of Modelling to Generate Alternatives Methods in Macro-Energy Systems Planning Models
Michael Lau, Neha Patankar, Jesse D. Jenkins
As decarbonization agendas mature, macro-energy systems modelling studies have increasingly focused on enhanced decision support methods that move beyond least-cost modelling to im…
Establishing best practices for modeling long duration energy storage in deeply decarbonized energy systems
Gabriel Mantegna, Wilson Ricks, Aneesha Manocha +3
Long duration energy storage (LDES) may become a critical technology for the decarbonization of the power sector, as current commercially available Li-ion battery storage technolog…