202 citations · 419 across the 28 of their papers we have counts for
28 papers
Clustering-enhanced adaptive Benders decomposition for energy systems planning optimization
Jun Wen Law, Dharik S. Mallapragada
High-resolution energy system capacity expansion models (CEMs) for energy transition planning often result in large-scale mixed-integer linear programming (MILP) formulations. Bend…
Emissions and cost tradeoffs of time-matched clean electricity procurement under inter-annual weather variability -- case study of hydrogen production
Michael Giovanniello, Dharik S. Mallapragada
Regulators and voluntary corporate sustainability efforts are increasingly adopting time-matching requirements (TMRs) for clean electricity procurement for large loads, such as dat…
Decarbonization pathways for liquid fuels: A multi-sector energy system perspective
Jun Wen Law, Bryan K. Mignone, Dharik S. Mallapragada
Low-carbon liquid fuels play a key role in energy system decarbonization scenarios. This study uses a multi-sector capacity expansion model of the contiguous United States to exami…
MacroEnergy.jl: A large-scale multi-sector energy system framework
Ruaridh Macdonald, Filippo Pecci, Luca Bonaldo +4
MacroEnergy.jl (aka Macro) is an open-source framework for multi-sector capacity expansion modeling and analysis of macro-energy systems. It is written in Julia and uses the JuMP p…
Multi-sectoral Impacts of H2 and Synthetic Fuels Adoption for Heavy-duty Transportation Decarbonization
Youssef Shaker, Jun Wen Law, Audun Botterud +1
Policies focused on deep decarbonization of regional economies emphasize electricity sector decarbonization alongside electrification of end-uses. There is growing interest in util…
Integer-Clustering Optimization of Hydrogen and Battery EV Fleets Considering DERs
Sijia Geng, Thomas Lee, Dharik Mallapragada +1
Electrified transportation leads to a tighter integration between transportation and energy distribution systems. In this work, we develop scalable optimization models to co-design…
Power-Gas Infrastructure Planning under Weather-induced Supply and Demand Uncertainties
Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin
Implementing economy-wide decarbonization strategies based on decarbonizing the power grid via variable renewable energy (VRE) expansion and electrification of end-uses requires ne…
A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning
Yifu Ding, Jansen Wong, Serena Patel +3
India aims to achieve net-zero emissions by 2070 and has set an ambitious target of 500 GW of renewable power generation capacity by 2030. Coal plants currently contribute to more…
The role of coal plant retrofitting strategies in developing India's net-zero power system: a data-driven sub-national analysis
Yifu Ding, Dharik Mallapragada, Robert James Stoner
India set two Nationally Determined Contribution targets to achieve the net zero carbon emission goal by 2070, which requires deep decarbonization of India's power generation secto…
Dynamic Optimization of Proton Exchange Membrane Water Electrolyzers Considering Usage-Based Degradation
Landon Schofield, Benjamin Paren, Ruaridh Macdonald +2
We present a techno-economic optimization model for evaluating the design and operation of proton exchange membrane (PEM) electrolyzers, crucial for hydrogen production powered by…
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…
Repurposing Coal Power Plants into Thermal Energy Storage for Supporting Zero-carbon Data Centers
Yifu Ding, Serena Patel, Dharik Mallapragada +1
Coal power plants will need to be phased out and face stranded asset risks under the net-zero energy system transition. Repurposing coal power plants could recoup profits and reduc…
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach
Aron Brenner, Rahman Khorramfar, Dharik Mallapragada +1
Solving large-scale capacity expansion problems (CEPs) is central to cost-effective decarbonization of regional-scale energy systems. To ensure the intended outcomes of CEPs, model…
An Integer Clustering Approach for Modeling Large-Scale EV Fleets with Guaranteed Performance
Sijia Geng, Thomas Lee, Dharik Mallapragada +1
Large-scale integration of electric vehicles (EVs) leads to a tighter integration between transportation and electric energy systems. In this paper, we develop a novel integer-clus…
Decarbonization of aviation via hydrogen propulsion: technology performance targets and energy system impacts
Anna Cybulsky, Florian Allroggen, Yang Shao-Horn +1
The aviation sector is challenging to decarbonize since aircraft require high power and energy per unit of weight. Liquid hydrogen is an interesting solution due to its high gravim…
Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification
Rahman Khorramfar, Morgan Santoni-Colvin, Saurabh Amin +3
Building heat electrification is central to economy-wide decarbonization efforts and directly affects energy infrastructure planning through increasing electricity demand and reduc…
Electric-Gas Infrastructure Planning for Deep Decarbonization of Energy Systems
Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin
The transition to a deeply decarbonized energy system requires coordinated planning of infrastructure investments and operations serving multiple end-uses while considering technol…
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints
Aron Brenner, Rahman Khorramfar, Dharik Mallapragada +1
A rapid transformation of current electric power and natural gas (NG) infrastructure is imperative to meet the mid-century goal of CO2 emissions reduction requires. This necessitat…
Multi-Stage Decision Rules for Power Generation & Storage Investments with Performance Guarantees
Vladimir Dvorkin, Dharik Mallapragada, Audun Botterud
We develop multi-stage linear decision rules (LDRs) for dynamic power system generation and energy storage investment planning under uncertainty and propose their chance-constraine…
Representative period selection for power system planning using autoencoder-based dimensionality reduction
Marc Barbar, Dharik S. Mallapragada
Power sector capacity expansion models (CEMs) that are used for studying future low-carbon grid scenarios must incorporate detailed representation of grid operations. Often CEMs ar…
A Model-Adaptive Clustering Method for Low-Carbon Energy System Optimization
Yuheng Zhang, Vivian Cheng, Dharik S. Mallapragada +2
Intermittent renewable energy resources like wind and solar pose great uncertainty of multiple time scales, from minutes to years, on the design and operation of power systems. Ene…
Impact of demand growth on decarbonizing India's electricity sector and the role for energy storage
Marc Barbar, Dharik S. Mallapragada, Robert Stoner
Global energy sector decarbonization efforts are contingent on technology choices for energy production and end-use in emerging markets such as India, where air conditioning is exp…
Multi-Stage Linear Decision Rules for Stochastic Control of Natural Gas Networks with Linepack
Vladimir Dvorkin, Dharik Mallapragada, Audun Botterud +2
The disturbances from variable and uncertain renewable generation propagate from power systems to natural gas networks, causing gas network operators to adjust gas supply nominatio…
Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption
Marc Barbar, Dharik Mallapragada, Meia Alsup +1
India is expected to witness rapid growth in electricity use over the next two decades. Here, we introduce a custom regression model to project electricity consumption in India ove…