Legislative and Legal Opinions
Altametric is the expert for generating data-driven, hard science opinions for legislative hearings, legal evidence, “Friend of the Court” briefings and environmental impact statements. We have written opinions for both US and Canadian legislation in the natural resource, power and fuel sectors. We provide opinions for every type of corporation, non-governmental organizations and indigenous people.
FERC OPINION on Energy Storage Markets
Within the United States, grid stability has been an increasing concern for independent system operators (ISO) and regional transmission organizations (RTO). The primary destabilizing factor has been the growth of intermittent, renewable power sources, such as wind turbines and solar farms. Maintaining a stable power grid is difficult because of the stochastic nature of these energy sources. Moreover, the contractual terms, within most power purchase agreements associated with these power sources, fail to address the asymmetric, systematic risk introduced by the negative grid inertia created by wind and solar power.
Canadian clean fuel standard
We support a low carbon fuel standard that objectively encourages CO2 emission reductions with a carbon tax, augmented with a credit system for carbon recycling, while ultimately meeting 2030 targets via strict limits. CO2 emissions should be taxed at the point of emission based on a CO2 mass basis ($/tCO2). Carbon tax credit should be issued for recycled CO2. Those CO2 credits can be traded. Carbon intensity limits for fuels must be set on a CO2 mass to energy basis (kgCO2/GJ).
ERCOT Wind Grid Stability with Storage
Among the US power markets, the unique geography and climate make Texas the center of wind energy in North America. According to ERCOT (Electric Reliability Council of Texas), with the de-carbonization of Texas, new ancillary services are necessary to reduce costs, stabilize the grid and reduce CO2 emissions. Calculation by Altametric, LLC estimate that 28 GW of wind require about 1,400 MWe of Fast Ancillary Services (FAS) with an error interval of about +/-4%.