This paper explores cost-effective low-carbon R&D and capital investment portfolios for the electricity generation sector through 2060. We present a novel method for long-term planning by combining an economic model of endogenous non-linear technical change and a generation capacity planning...

We use Monte Carlo analysis to examine the potential of increased renewable generation to provide a hedge against variability in energy prices and costs. Fuel costs, electricity demand and wind generation are allowed to vary and a unit commitment and economic dispatch algorithm is employed to...

Our new analytical general equilibrium model is used to study effects of tightening state Renewable Portfolio Standards (RPS) on electricity price, CO2 emissions, fossil fuel electricity generation, and two kinds of renewable generation. We show how those outcomes depend on key state...