遵义某厂区可再生能源利用评价及结构优化

发布时间：2018-09-08 06:53

【摘要】：可再生能源在满足能源需求、改善能源结构、减少环境污染、促进经济发展等方面都有着举足轻重的作用，但由于资源禀赋、技术水平和消费习惯等原因，，在我国能源消费结构中煤炭、石油、天然气等化石能源一直以来都占据主导地位，可再生能源开发和应用仍处于较低水平。随着可再生能源法规体系的逐步完善和应对气候变化的需要，我国能源结构调整的力度不断加大，加上市场需求的推动，给我国可再生能源的发展创造了良好的内外部条件，但其产业化和规模化发展仍然面临着许多问题。因此，为探寻可再生能源发展前景，优化可再生能源利用路径，本文在已有研究的基础上提出了可再生能源利用评价方法及结构优化模型。首先，结合现有能量分析方法中的“能分析法”和“□分析法”，将可再生能源利用评价和结构优化模型划分成两个并列层次：能评价及结构优化层次和□评价及结构优化层次。这两个层次的构成相同，每个层次包括两个模块：评价模块和结构优化模块。指标权重采用改进的层次分析法确定，评价方法选用VIKOR多属性决策方法。结构优化模块设置两个目标函数：评价得分最高模型和全寿命周期费用最低模型，分别从宏观和微观方面揭示可再生能源的发展前景和应用比例。然后，介绍了遵义某厂区的概况，并在现场进行了气象参数的测试。根据不同建筑的要求设置相应的计算参数，计算了厂区冷热负荷。在遵义典型年气象参数的基础上，对厂区的太阳能、地热能、风能、污水能、工业余热资源进行分析，得到可再生能源的利用方式。最后，以厂区的太阳能、地热能、污水能利用技术为对象，采用可再生能源利用评价和结构优化模型进行能评价、□评价及结构优化。在查阅文献和参考实际工程项目的基础上，结合资源分析结果，为各评价指标合理赋值。能评价的结果是地热能最优，污水能其次，太阳能最差；太阳能、地热能、污水能在能评价得分最高和全寿命周期费用最低方案中所占比重分别为：20.8%、40.5%、38.7%和17.4%、75.1%、7.5%。□评价的结果是地热能最优，太阳能其次，污水能最差；太阳能、地热能、污水能在□评价得分最高和全寿命周期费用最低方案中所占比重分别为：35.2%、37.5%、27.3%和31.6%、60.9%、7.5%
[Abstract]:Renewable energy plays an important role in meeting energy demand, improving energy structure, reducing environmental pollution and promoting economic development. Fossil energy, such as coal, oil, natural gas and so on, have been dominant in the energy consumption structure of China, and the development and application of renewable energy are still at a low level. With the gradual improvement of the legal system of renewable energy and the need to cope with climate change, the adjustment of energy structure in China has been strengthened continuously, and the market demand has promoted the development of renewable energy, which has created good internal and external conditions for the development of renewable energy in China. But its industrialization and scale development still face a lot of problems. Therefore, in order to explore the prospect of renewable energy development and optimize the path of renewable energy utilization, this paper puts forward the evaluation method and structural optimization model of renewable energy utilization based on the existing research. First of all, combining the existing energy analysis methods "energy analysis method" and "- analysis method", The renewable energy utilization evaluation and structural optimization model are divided into two parallel levels: energy evaluation and structural optimization and-evaluation and structural optimization. Each level consists of two modules: the evaluation module and the structure optimization module. The index weight is determined by the improved analytic hierarchy process (AHP), and the VIKOR multi-attribute decision making method is used as the evaluation method. Two objective functions are set up in the structural optimization module: the highest evaluation score model and the lowest life-cycle cost model, which reveal the development prospects and application ratio of renewable energy from macro and micro aspects, respectively. Then, the general situation of a factory in Zunyi is introduced, and the meteorological parameters are tested on the spot. According to the requirements of different buildings, the corresponding calculation parameters are set, and the heat and cold loads in the plant area are calculated. Based on the meteorological parameters of typical years in Zunyi, the solar energy, geothermal energy, wind energy, sewage energy and industrial waste heat resources in the plant area were analyzed, and the utilization mode of renewable energy was obtained. Finally, taking the solar energy, geothermal energy and sewage energy utilization technology as the object, the renewable energy utilization evaluation and structure optimization model are used to evaluate the energy utilization and structure optimization. On the basis of consulting the literature and referring to the actual project and combining the result of resource analysis, the evaluation index is assigned reasonably. The result of energy evaluation is that geothermal energy is the best, sewage energy is the second, solar energy is the worst; solar energy, geothermal energy, The proportion of sewage energy in the programs with the highest and lowest life cycle costs for energy evaluation is: 20.8and 40.58.7percent and 17.45.1respectively. The results show that the geothermal energy is the best, the solar energy is the second, and the sewage is the worst; solar energy, geothermal energy, and geothermal energy, The proportion of sewage energy in-evaluation highest score and lowest life cycle cost is: 37.5% 27.3% and 31.60.90% respectively.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F426.2

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