This report proposed a genetic algorithm (GA) based stochastic optimization method for gridconnected residential renewable energy (solar/wind) system layout design and module selection. With the customer input of housing location, electricity demand, default system input of location-specified historical weather data, PV/inverter/turbine module database, forecast model for electricity retail/who...

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With a rapid growth rate, urbanization is casting a profound impact on both production and residential sector in China, influencing the energy consumption accordingly. Based on theoretical analysis and LMDI (Log Mean Divisia Index) method, the change of energy consumption in the two sectors is decomposed into several effects related to urbanization. According to the empirical result from 1980 t...

Projecting the long-term trends in energy demand is an increasingly complex endeavor due to the uncertain emerging changes in factors such as climate and policy. The existing energy-economy paradigms used to characterize the long-term trends in the energy sector do not adequately account for climate variability and change. In this paper, we propose a multi-paradigm framework for estimating the ...