Abstract
Residential energy consumption has increased rapidly with the improvement of living standards of Chinese households, in particular, heating demand in North China has a direct impact on the haze. The integration of renewable energy with the combined heat and power (CHP) technology provides an effective method to solve the household energy consumption and environmental impacts, but the construction, capacity, and cost of the system seriously affect the economy of the system, environmental protection, and operational reliability. Therefore, a family-oriented small-scale combined heat and power system was designed based on wind, photovoltaic, fuel cell, and hydrogen storage. The scheduling strategy of heat determined by power, meeting the requirements of all electrical loads and partial heat loads, and the minimum investment for the whole life cycle of 20 years was used as the objective function to design the system. Combined with the actual environmental conditions and thermoelectric load, an adaptive particle swarm optimization algorithm was improved for solving optimal allocation. The system was analyzed through thermal and power conditions, economy, the reliability of meeting the load, and other evaluation criteria in the optimal system configuration, the prediction, and evaluation of the prospects and development of the system provide basis and reference for the family cogeneration micro-grid applications.
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