One of key problem of Smart Building is to search for return on investment (ROI). However, the challenge is that it is an optimization problem where the objective function or some of the constraints are nonlinear. In this paper, building parameters evaluate the passive cost and a simulation scenario including control system based on Economic Model Predictive Control (EMPC) has been developed to evaluate the operation cost. The minimization of electricity cost and comfort factor are two control optimization objectives in the system design. The investment cost and the operation cost utilize grid search (GS) to generate Pareto optimality for multi-objective problem. The acquired solutions are significant for building energy management and residents' comfort in informed decision-making.

Smart Building,Economic Model Predictive Control,return on investment,Pareto optimality,grid search