activity
20202026
most citedSector coupling via hydrogen to lower the cost of energy system decarbonization

202 citations · 419 across the 28 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.CY2024★ 1 cited

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…

physics.soc-ph2024

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…

eess.SY2024

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…

eess.SY2024★ 1 cited

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…

eess.SY2024

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…

eess.SY2024

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…