Abstract
Several interdisciplinary research projects of renewable energy-driven residential environment have been actively conducted at College of Engineering, Nihon University However, most of renewable energy is strongly affected by atmospheric conditions so that predicting the generated power is relatively difficult in practical. This means that the renewable energy should be used under adequate energy management especially to maintain sustainable environments. In this paper, a modeling platform which emulates the dynamics of natural and residential environment in real-time has been presented. First, the architecture of the proposed emulator has been explained. Then, an experimental prototype employing a reduced-size model house with adequate energy supply, storage and consumption has been developed. Finally, the experimental result shows that environmental information such as energy data and atmospheric sensing data can be observed in real-time. The experiment also implies that some accelerated tests can be performed by the emulator under certain environment conditions.
