Updated California Energy Policy Simulator research finds California must more than triple its decarbonization rate to meet state climate goals. EPS modeling identifies a proven set of climate strategies that could cut emissions 47 percent, add $28 billion to the state's economy, create 170,000 jobs, prevent 26,000 asthma attacks, and save households an average of $1,500 in 2030.

Modeling of the Build Back Better Act and Infrastructure Investment and Jobs Act using the Energy Policy Simulator finds these bills would cut annual emissions 1,067 MMT to 1,510 MMT and reach 70 to 85 percent clean electricity by 2030. If a Clean Electricity Performance Program is not included, emissions reductions fall to just 854 to 1,059 MMT with 61 to 69 percent clean electricity by 2030.

New modeling using the Colorado Energy Policy Simulator finds the state is off-track for its own climate goals with emissions likely to decrease just 18 percent by 2050. But strategic building, industry, and transportation sector policies would put Colorado on a 1.5° Celsius pathway, generate more than 36,000 job-years annually, and increase state GDP by $7.5 billion per year in 2050.

New Energy Policy Simulator modeling shows a relatively small set of policies to achieve a 50 percent reduction in U.S. emissions by 2030 relative to 2005 levels could increase U.S. GDP by $570 billion per year in 2030 and by $920 billion in 2050 and create 3.2 million new job-years in 2030 and nearly 5 million new job-years in 2050, while avoiding more than 45,000 premature deaths and 1.3 million asthma attacks annually by 2050.

New modeling using the Minnesota Energy Policy Simulator finds a newly proposed clean energy standard would cut statewide emissions nearly 20 percent by 2050, but strategic policies in the building, industry, and transportation sectors would put Minnesota on a 1.5° pathway, generate 39,000 job-years, and increase state GDP by more than $11 billion per year.

How can Mexico achieve its climate targets and work toward the Paris Agreement goals? This working paper addresses this question by identifying and evaluating the key climate and energy policy options available to Mexico to support the implementation of its INDC. The analysis shows that Mexico can meet its unconditional and conditional targets while at the same time saving money and lives.

In October 2015, Energy Innovation launched Energy Policy Solutions, an assessment of climate and energy policies to help meet decarbonization goals. We created a computer model, the Energy Policy Simulator, to quantitatively measure the cost and emissions impacts of more than 50 policies across all economic sectors. This page summarizes key findings from our model analysis, including recommended policy packages for meeting the U.S. 2025 emissions target and the Clean Power Plan target.

Energy Innovation identified a cost-effective package of six policies that the U.S. could use to meet the Clean Power Plan at a national average scale. This scenario actually exceeds the emissions goals in later years, as policies designed to meet earlier targets continue to reap benefits in later years, and saves the U.S. more than $40 billion between 2016 and 2030.

Discover the most effective policies to decarbonize America’s economy at the lowest cost. The Energy Policy Simulator was designed to empower decision makers to find the best course toward a low-carbon U.S. economy. The Energy Policy Simulator works in real-time to measure the cost and emissions impacts of more than 50 climate and energy policies.

This paper describes Energy Innovation's Energy Policy Simulator, a system dynamics model that assists in selecting policies that will allow China to achieve its emissions reduction goals. The model's results find that China can peak its carbon emissions before its target year of 2030, and this is done most cost-effectively via a package of policies supporting a diverse set of technologies.