Policy Models

Ventana® Policy Models combine elements of all other model types to test likely outcomes of state, regional, national or international policy, considering relevant macroeconomic feedback, industry dynamics, environmental response, and consumer behavior.

EN-ROADS – Energy transition pathways to achieve climate goals

En-ROADS is a fast, powerful simulation tool for understanding how we can achieve our energy transition and climate goals through changes in our energy use, consumption, and policies. A new version of En-ROADS will be released later this year. The current En-ROADS will become unavailable on March 25, 2019. Sign-up to stay informed. USE EN-ROADS

The $3 Trillion Problem: Solving America’s Infrastructure Crisis

This example is a podcast of a conversation between Carter Williams of iSelect and Tom Fiddaman of Ventana. The United States has an infrastructure problem. By some estimates, America needs about $3 trillion of investment in its critical infrastructure to support its crumbling bridges, highways, dams and other structures. That’s a big number. The American

California GHG Reduction Policy Collaboratives

Ventana facilitates the California GHG reduction (AB32) Policy Collaboratives, sponsored by industry and supported by the Air Resources Board, the California Energy Commission, and other agencies, with active environmental NGO participation. These analytically-driven workshops have produced key policy insights on AB32 Policy Crude Flows under the Low Carbon Fuels Standard Combined Heat and Power Diesel

C-ROADS – Climate Simulation for Decision Makers

In partnership with the Sustainability Institute and MIT, Ventana Systems has developed “C-ROADS”, a decision-maker-oriented international climate simulator. C-ROADS helps users understand the long term climate impacts of various futures for fossil fuel emissions, other emissions, sequestration, and various uncertainties.C-ROADS stands for “Climate Rapid Overview and Decision-support Simulator.” As opposed to most climate models, which