秦皇岛地区民居风光互补供暖系统优化设计与经济运行研究

发布时间：2018-05-26 10:59

本文选题：风光互补供暖系统 + 优化设计　；参考：《西安建筑科技大学》2017年硕士论文

【摘要】：秦皇岛地区的农村冬季期间光照时间充裕,风力资源丰富,为分布式能源的利用提供了一个良好的地理基础和资源基础,因此建立风能和太阳能互补的新能源互补供暖系统是推动新能源在农村地区合理发展的重要形式,也是改善农村住户不便于集中供暖的新的采暖措施,同时也可以缓解农村地区因冬季采暖造成的环境污染和采暖成本过高的现状。针对秦皇岛地区风能与太阳能的分布特征,首先设计了风光互补供暖系统的工艺流程,并以太阳能集热器面积、风力发电机的功率、市电辅助热源的用电量为变量参数,通过系统的热量分析,建立了该系统的热量平衡模型,将系统的热量平衡模型作为优化的约束函数;其次根据市场调研的系统部件的价格,建立以太阳能集热器面积、风力发电机的功率、市电辅助热源用电量为变量参数的系统投资模型,并将系统总投资模型作为经济优化目标函数,利用遗传算法优化得到该系统变量参数的最优值;然后根据优化的参数结果,在TRNSYS平台上建立风光互补供暖系统的运行模型,分析该系统在一个供暖季的运行性能;最后将参数的优化结果和系统运行模型的运行结果分别与传统燃烧煤采暖方式进行对比,分析该系统在不同采暖周期内的经济性和环保性的优势。研究结果表明,风光互补供暖系统应用于秦皇岛民居的冬季供暖,性能稳定可靠,目标建筑室内温度达到预期要求;而且从长期来看,该系统比传统燃烧煤采暖方式在节约投资成本和减少CO2排放上更具有优势。
[Abstract]:The rural areas in Qinhuangdao have abundant lighting time and abundant wind resources during winter, which provides a good geographical and resource basis for the utilization of distributed energy. Therefore, the establishment of new energy complementary heating system with wind and solar energy is an important form to promote the rational development of new energy in rural areas, and it is also a new heating measure to improve rural households' inconvenient central heating. It can also alleviate the environmental pollution and high heating cost caused by winter heating in rural areas. According to the distribution characteristics of wind energy and solar energy in Qinhuangdao area, the technological process of wind energy and solar energy complementary heating system is designed, and the area of solar collector, the power of wind turbine and the power consumption of auxiliary heat source are taken as variable parameters. Through the heat analysis of the system, the heat balance model of the system is established, and the heat balance model of the system is taken as the optimal constraint function. Secondly, according to the price of the system components investigated by the market, the solar collector area is established. The power of wind turbine and the power consumption of the auxiliary heat source are the variable parameters of the system investment model, and the total investment model of the system is regarded as the objective function of economic optimization, and the optimal value of the variable parameters of the system is obtained by genetic algorithm optimization. Then, according to the optimized parameter results, the operation model of the wind and wind complementary heating system is established on the TRNSYS platform, and the performance of the system in a heating season is analyzed. Finally, the optimization results of the parameters and the operation results of the system operation model are compared with the traditional burning coal heating mode, and the advantages of the system in different heating cycles are analyzed. The results show that the performance of the solar complementary heating system used in the winter heating of Qinhuangdao residential building is stable and reliable, and the indoor temperature of the target building can meet the expected requirements, and in the long run, This system has more advantages than traditional coal burning heating method in saving investment cost and reducing CO2 emission.
【学位授予单位】：西安建筑科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU832;TU18

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