Models in FP

/*
Estimating the cost-effectiveness of DOE spending by combining four approaches
*/

// COST-EFFECTIVENESS in tCO2e per USD

// Based on the fracking case study

// APPROACH 1
// Incrementalist interpretation

/*
Does it make sense to spend down 100% under the most extreme assumptions?
*/


h = 10

a = 1 to h
b = 1 to h
c = 1 to h

/*
2000-2020 innovation benefits DECOMPOSITION APPROACH
*/

// DECOMPOSITION APPROACH

// Calculate excess warming between 2010 and 2100 under WEO 2010 (NPS) and WEO 2023 (STEPS) forecasts
warming_pre_2010 = 0.8 to 1
temp_inc_2010 = 3.5 - warming_pre_2010 // Excess 2010-2100 warming under WEO 2010 (NPS)
temp_inc_2023 = 2.4 - warming_pre_2010 // Excess 2010-2100 warming under WEO 2023 (STEPS)

// Correlated Normal Random Variables with Pre-Scaled Weights

// ===== Inputs =====

@name("Base RV Parameters")
baseParams = {
  @name("Mean")
  mean = 1  // Midpoint of 0.5 and 1.5
  
  @name("Standard Deviation")

/*
How valuable are CFP grants compared to in 2022/3?
*/

// DESCRIPTION

// OVERVIEW
// We model the probability of that CFP technologies are sufficiently incubated in the US to reach commercial scale
// (or in the case of nuclear, trigger a fresh wave of nuclear fission).

/*
Describe your code here
*/

a = normal(2, 5)

/*
Climate Policy vs Innovation Effectiveness Model
This model compares the relative effectiveness of domestic policy and innovation
on reducing emissions over time, based on historical data and future projections.
*/

// ==================== INNOVATION PARAMETERS ====================

// ----- Historical Innovation Effects -----
@name("Effect of falling remenewables price (2000-2020) on future emissions")