Analytics Toolkit

The OR CPP Compliance Calculator is a tool designed to help users estimate their total CCI (Compliance Credit Instrument) spends and plan their compliance obligations across the lifetime of Oregon’s Climate Protection Program. It is split into two modules—Fuel Supplier and Natural Gas—reflecting the distinct allocation rules and compliance dynamics specific to each entity type

cCarbon's Alberta TIER Credits Model forecasts credit supply based on CCUS growth under three scenarios: Accelerated, Baseline, and Slow. The model predicts a surplus of credits by the decade’s end, driven by government-backed CCUS projects. In the Baseline scenario, additional CCUS plants from 2027 push the surplus to 80 million, while the Accelerated scenario sees 95 million surplus allowances due to 130 million sequestration credits from 2025-2030. Only the Slow scenario, with weak oil growth, results in a tighter market by 2030.

The British Columbia Low Carbon Fuel Standard (BC LCFS) aims to reduce the carbon intensity of transportation fuels by requiring fuel suppliers to lower emissions through blending low-carbon alternatives like renewable diesel (RD), biodiesel (BD), ethanol, and other clean fuels, or by acquiring compliance credits. The regulation is driving fuel blending strategies and shaping credit markets across the province. To support stakeholders in navigating this dynamic environment, cCarbon has developed a BC LCFS Scenario Simulator. This tool offers insights into credit generation, deficits, and blending patterns across various fuel types. By enabling users to adjust key variables and evaluate market impacts, the simulator facilitates data-driven decision-making in the BC LCFS landscape.

The California LCFS was cCarbon's first foray into Clean Fuel credit markets. CA LCFS forms the second part of ARB's (the State's regulator) ""belt 'n' braces” approach to emission reductions. With transportation emissions at around half of covered emissions of the state cap-and-trade market, when the LCFS market is tight and prices high, there is comparatively less pressure on the CaT market, and vice versa. Neither market can be effectively understood or modeled without fully comprehending the other.

cCarbon's OR CPP Scenario Simulator aims to provide a tool to calculate market outcomes at an aggregate level for all entities covered under the CPP program by tweaking the pace of decarbonization and early reduction instruments in the program.

The WCA market simulator is designed to model the demand and supply for the Washington CaI program. The model allows users to choose between two different scenarios for demand, supply and pricing.

cCarbon's Alberta TIER Credits Model forecasts credit supply based on CCUS growth under three scenarios: Accelerated, Baseline, and Slow. The model predicts a surplus of credits by the decade’s end, driven by government-backed CCUS projects. In the Baseline scenario, additional CCUS plants from 2027 push the surplus to 80 million, while the Accelerated scenario sees 95 million surplus allowances due to 130 million sequestration credits from 2025-2030. Only the Slow scenario, with weak oil growth, results in a tighter market by 2030.

The RGGI Scenario Simulator is designed to model the demand and supply for the RGGI cap-and-trade program. The model is updated with the new scenarios proposed by RGGI.

The WCI Scenario Simulator is designed to model the demand and supply for the linked California-Quebec program. The model is updated with the new proposed changes to the market.

This Clean Fuel Incentive Calculator is designed to estimate the total incentives available for biofuels under various low-carbon fuel policies from the perspective of a U.S. producer. It helps users evaluate potential incentives under programs such as California LCFS, Oregon CFP, Washington CFS, British Columbia LCFS, and Canada CFR.

The Canada Clean Fuel Regulations (CFR) aim to reduce the carbon intensity of liquid fuels by requiring fuel suppliers to blend renewable diesel (RD), biodiesel (BD), ethanol, and other low-carbon fuels or trade credits to comply. The regulation is shaping compliance strategies and influencing fuel and credit markets.

The Washington Clean Fuel Standard (WA CFS) market aims to reduce the carbon intensity of transportation fuels by incentivizing low-carbon alternatives through a credit and deficit system. It plays a crucial role in decarbonizing the fuel supply, promoting renewable diesel (RD), biodiesel (BD), and other clean fuels to meet state emissions reduction targets. To help clients navigate this evolving market, cCarbon has developed a WA CFS Scenario Simulator, providing a real-time view of credits, deficits, and the credit bank.

OR CFP is an oligopoly with importers of gasoline, diesel, ethanol, biodiesel, and renewable diesel forming the demand side. The program has also voluntary participants such as providers of natural gas, propane, electricity, and hydrogen. Higher credit prices in Oregon CFP is an attractive tool for fuel importers who are looking to set up import infrastructure for the North American clean fuel market. Liquid biofuels such as biodiesel, renewable diesel and ethanol are the major credit generators in this market.

The California LCFS was cCarbon's first foray into Clean Fuel credit markets. CA LCFS forms the second part of ARB's (the State's regulator) ""belt 'n' braces” approach to emission reductions. With transportation emissions at around half of covered emissions of the state cap-and-trade market, when the LCFS market is tight and prices high, there is comparatively less pressure on the CaT market, and vice versa. Neither market can be effectively understood or modeled without fully comprehending the other.

The WCI Scenario Simulator is designed to model the demand and supply for the linked California-Quebec program. The model is updated with the new proposed changes to the market.

The California LCFS was cCarbon's first foray into Clean Fuel credit markets. CA LCFS forms the second part of ARB's (the State's regulator) ""belt 'n' braces” approach to emission reductions. With transportation emissions at around half of covered emissions of the state cap-and-trade market, when the LCFS market is tight and prices high, there is comparatively less pressure on the CaT market, and vice versa. Neither market can be effectively understood or modeled without fully comprehending the other.

This tool solves for the problem of pricing of carbon credits in the Voluntary Carbon Market (VCM). For this opaque and illiquid market, the user can generate accurate price estimates for offset trades defining specific attributes, enabling them to benchmark their own Bids/Offers.

The RGGI Scenario Simulator is designed to model the demand and supply for the RGGI cap-and-trade program. The model is updated with the new scenarios proposed by RGGI.