Abstract
In this study, we developed the optimum operation model of residential fuel cell system, considering uncertainty of electric and hot water demands. Using stochastic dynamic programming, the model expresses an operation plan in combination of two operational status (minimum output and electric demand following), and decides the plan to minimize the sum of expected energy cost following 24 hours operation. We compared annual cost and CO2 emission between different kinds of residential fuel cell. We also compared the results of this model to those of previous study’s model, to indicate demand uncertainty effect.
