Lower costs, improved technology, and the advent of transparent energy markets have spurred an energy storage renaissance. Despite this, a number of policy, market, and economic analysis issues remain as roadblocks to widespread storage adoption. In this talk I survey the benefits and potential uses of energy storage, as well as policy and market design barriers to storage investment. I also introduce a stochastic dynamic programming (SDP) model that can co-optimize the use of storage for multiple competing applications and an approximation algorithm to derive near-optimal solutions to the SDP. Using a case study based on the central-Ohio region, I demonstrate the use of the SDP model and solution method.   A recording of this talk should be available soon at:  http://youtu.be/hhVx-EkGLoM