EV charging optimization platform Rhythmos.io has partnered with Energy and Environmental Economics (E3), an energy and environmental consulting company headquartered in San Francisco, to conduct a research study that examined unmanaged, passively managed and optimized charging scenarios in utility service territories in two regions of the country to gain an understanding of potential impacts and savings opportunities.
The results of the study indicate that passively managed charging could reduce utility costs by approximately 30% compared to unmanaged charging. System-wide optimization could reduce costs by a further 30% of the total.
According to Rhythmos.io, the study demonstrates that implementing the company’s grid-edge optimized Cadency EdgeAI platform could cut transformer upgrade costs by up to 60% in high-demand areas. An average utility serving 250,000 customers could potentially save $7.3 million in avoided and deferred transformer upgrades.
Furthermore, the study says, US utilities as a whole could save $7-9 billion in avoided and deferred transformer upgrade costs and could accommodate, without incurring incremental costs to the utility system, more than twice as much EV adoption as is feasible with unmanaged charging.
“We are tackling one of the most pressing challenges in the energy transition—helping utilities unlock the full potential of decentralized energy resources while maintaining grid stability,” said Rhythmos CEO Ken Munson. “Our optimized managed charging solution helps utilities reduce costs and defer infrastructure upgrades, which has the potential to save billions of dollars nationwide and minimize consumer rate impacts while supporting electrification goals.”
Source: Energy and Environmental Economics
from Charged EVs https://ift.tt/GP5126k
No comments:
Post a Comment