State public utility commissions in the United States have implemented incentive regulations to promote the operating efficiency of nuclear power plants. This paper surveys these incentive programs, focusing on the perfomance-based pricing approach. Our findings suggest that the...

This paper studies the impact of the March 1979 Three Mile Island (TMI) accident on the regulation of nuclear power plants (NPPs) and its consequences for the operating behavior and profitability of the U.S. nuclear power industry. We treat the TMI accident as a ``natural experiment'' that...

This paper presents a dynamic programming (DP) model of optimal operation of a nuclear power plant (NPP). In each period the operator decides whether to run the reactor at a given capacity level, to shut it down for preventive maintenance or refueling, or permanently close the plant for...

This paper presents a dynamic programming (DP) model of an electric utility's optimal policy for operating a nuclear power plant (NPP). The utility chooses the level of capacity utilization of the NPP as a function of signals about the NPP's current operating state. In each period the utility...

Demand-Side Management (DSM) improves load factors and energy efficiency and reduces emissions. DSM methods are understood in the United States, but using DSM in Poland poses problems related to constraints in the power sector and the economic environment. This paper discusses the reorganization...

This paper compares the sustainability of two light water reactor, LWR, fuel cycles: the once-through UOX (low-enriched uranium oxide) cycle and the twice-through MOX (Mixed Uranium-Plutonium Oxide) cycle (increasing the input efficiency of available uranium) by assessing their probable...

This paper examines the relationship between organizational structure and operation and outage durations at nuclear power plants in the United States. It empirically examines Aoki's (1990) proposition that (1) hierarchical control increases productivity in situations that are very stable or very...