Studies performed prior to May 2016 refer to Enelytix as pCloudAnalytics.
The Texas Clean Energy Coalition wanted to understand the possible range of outcomes for the full set of electricity
resource options in the future Texas power grid, focusing on energy efficiency programs, CHP and carbon policy.
Enelytix was used to simulates the decisions of market-driven developers of a wide range of new electric resources with a model that
simulates the minute-by-minute operation and control of the grid by ERCOT.
The study found that energy efficiency and demand response provide substantial opportunities to displace future capacity
additions and lower overall electricity costs. Read more here
TCR used Enelytix to perform the 2015 Avoided-Energy-Supply-Component Study (“AESC 2015” or “the Study”). The study provides
projections of marginal energy supply costs that will be avoided due to reductions in the use of electricity, natural gas, and
other fuels resulting from energy efficiency programs offered to customers throughout New England.
As part of the analysis, PSO was configured to simulate both the New England energy and capacity market in an iterative fashion to
capture avoided long run capacity costs from energy efficiency programs.
Leveraging the scalability of Enelytix, TCR was able to simulate multiple scenarios over 15 years and turn around results within
a single day. Read more about the study here.
A research team led by Boston University used Enelytix as a part of an arsenal of tools for dynamically reconfiguring the topology of electrical grids.
The goal of the project was to optimize the state of the transmission network in addition to unit commitment and economic dispatch to reduce system costs and increase operational efficiency.
The development of this innovative technology was funded by ARPA-E and is presently being commercialized by NewGrid. View the presentations