This report describes the application of a new mixed-integer linear programming model of the power sector that accounts for water used for thermal cooling. The model is used to explore a series of scenarios for each of four case studies—the North Grid of China, India, France, and the state of Texas in the United States. For each case study we developed a baseline projection, then modeled a number of scenarios, including limits on water availability, reduced power demand from end-use energy efficiency, expansion of renewable energy, and carbon caps. We provide model output, including water withdrawals and consumption; power generation fuel mix; carbon dioxide emissions; and total system, fixed, and variable costs.