Policy Analysis and Asset Valuation


Studies performed prior to May 2016 refer to Enelytix as pCloudAnalytics.

  • To comply with Section 83D of the Massachusetts Green Communities Act, Massachusetts electric distribution companies (“EDCs’) retained TCR to help them, in cooperation with the Department of Energy Resources (“DOER”) and an Independent Evaluator, to evaluate the quantitative costs and benefits of over 50 distinct Proposals

    ENELYTIX was used to simulate the hourly operation of the New England electric energy market under a Base Case and under each Proposal Case. The Base Case provided a “counterfactual” projection of energy and capacity costs, as well as carbon emissions, under a future in which the EDCs did not acquire for 9,450 gigawatt hours of clean energy. Read the summary
  • To comply with Section 83C of the Massachusetts Green Communities Act, Massachusetts electric distribution companies (“EDCs’) retained TCR to help them, in cooperation with the Department of Energy Resources (“DOER”) and an Independent Evaluator, to evaluate the quantitative costs and benefits of over 20 distinct Proposals

    ENELYTIX was used to simulate the hourly operation of the New England electric energy market under a Base Case and under each Proposal Case. The Base Case provided a “counterfactual” projection of energy and capacity costs, as well as carbon emissions, under a future in which the EDCs did not acquire 800 MW of offshore wind. Read the summary
  • The SB 350 studied whether the transformation of the California Independent System Operator into a regional organization would provide benefits to California and its ratepayers. Enelytix was the primary tool used to evaluate operating cost savings, reduction of pollutants and the ability to integrate renewable resources in a WECC-wide region. Read more about the report here.
  • A study presented at the Wartsila Flexible Power Symposium on the value of flexible generation in the ERCOT market. Enelytix was used to explore the role of reciprocating engines as part of the future ERCOT supply mix. Enelytix made it possible to simulate the dynamic operation of real markets. Most models do not do this and therefore cannot capture the value of flexible generation like reciprocating engines. Additionally, the scalability of the Enelytix cloud-based environment made it possible to run PSO studies efficiently and to obtain results from any number of desired scenarios simultaneously. Read more about the study here.
  • EPRI conducted a study with the support of CAISO to evaluate reserve procurement policies in WECC. Enelytix was used to simulate stochastic reserve procurement in anticipation of dynamic system conditions such as wind ramping and uncertain production of load. Using a full WECC model with 2,000 generators, 46 zones and 27 regions, a two day rolling horizon stochastic simulation with 626 commitment and dispatch runs was performed in less than 1 hour. This initial study found that through dynamic procurement of load following Up and Down reserves, overall efficiency in WECC would be improved. Read more about the findings here.
  • The research team led by Newton Energy Group uses Enelytix to study the co-optimization and coordination of natural gas and electric networks as a part of a two-year project sponsored by ARPA-E: Project overview