基于生物质能与太阳能的冷热电联供系统优化配置与调度研究

发布时间：2018-03-11 04:40

本文选题：冷热电联供系统　切入点：生物质能　出处：《山东大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着能源短缺与环境污染问题日趋严重,冷热电联供系统以其节能、环保、高效的特点而备受关注。其中,采用生物质能与太阳能为驱动能源的冷热电联供系统在实现能量梯级利用的基础上,更可实现对可再生能源的充分利用,是未来能源系统发展的重要方向。本文主要围绕基于生物质能与太阳能的冷热电联供系统,提出针对该系统的优化配置与调度方法,有效提升了系统综合性能。本文的主要研究内容如下:首先,提出了一种基于生物质能与太阳能的冷热电联供系统结构设计方案,分析了生物质气、光伏电池组、内燃发电机组的特性,建立了内燃发电机组全工况能量转化模型,并构建了联供系统经济、环境、能源评价指标,为后文研究奠定基础。其次,根据上述系统结构设计方案,提出了以综合成本年节约率、一次能源年节约率、CO2年减排率综合最优为目标的优化配置模型。以济南市某办公建筑物全年冷热电负荷为例,采用遗传算法优化求解了各设备容量和内燃发电机组最低负载率,验证了所提出优化配置方法的可行性。再次,针对本文优化配置的系统,提出了一种以运行成本日节约率、一次能源日节约率、CO2日减排率综合最优为目标的优化调度模型。以济南市某办公建筑物负荷为例,优化求解了该系统在冬季、夏季、过渡季典型日的最优逐时出力计划,并与传统运行模式比较,验证了所提出优化调度方法的有效性。另外,以传统天然气冷热电联供系统作为对照系统,分析本文所设计系统与传统系统在相同负荷下的经济、环境、能源指标,进一步揭示了所设计系统的综合性能优势。最后,以国家"863计划"项目"新型生物质气冷热电联供系统示范应用"为平台,完成了冷热电联供系统优化运行软件,并应用于工程实践,验证了本文所提出的优化调度方法在工程应用方面的可行性。
[Abstract]:With the problem of energy shortage and environmental pollution becoming more and more serious, the combined cooling and heat supply system has attracted much attention because of its characteristics of energy saving, environmental protection and high efficiency. Using biomass energy and solar energy as the driving energy, the combined cooling and heat supply system can realize the full utilization of renewable energy on the basis of realizing the energy cascade utilization. It is an important direction of energy system development in the future. In this paper, the optimal configuration and scheduling method for this system is proposed, which is based on biomass energy and solar energy. The main contents of this paper are as follows: firstly, a design scheme of the cooling and heat supply system based on biomass energy and solar energy is proposed, and the biomass gas and photovoltaic battery pack are analyzed. Based on the characteristics of the internal combustion generator set, the energy conversion model of the internal combustion generator unit under all working conditions is established, and the economic, environmental and energy evaluation indexes of the combined supply system are constructed, which will lay the foundation for the later study. Secondly, according to the above system structure design scheme, This paper puts forward an optimal allocation model with the goal of comprehensive annual cost saving rate, primary energy annual saving rate and CO2 annual emission reduction rate. Taking a certain office building in Jinan as an example, the annual cooling and heating power load is taken as an example. The genetic algorithm is used to optimize the capacity of each equipment and the minimum load rate of the internal combustion generator set, which verifies the feasibility of the proposed optimal configuration method. Thirdly, a daily saving rate based on the operation cost is proposed for the optimal configuration system in this paper. The optimal scheduling model of the primary energy daily saving rate and CO _ 2 emission reduction rate is an optimal scheduling model. Taking the load of a certain office building in Jinan as an example, the optimal hourly output plan of the system in winter, summer and transition season is optimized. Compared with the traditional operation mode, the effectiveness of the proposed optimal scheduling method is verified. In addition, the economy of the system designed in this paper under the same load is analyzed by taking the traditional natural gas cooling and heat combined power supply system as the control system. The environmental and energy indexes further reveal the comprehensive performance advantages of the designed system. Finally, based on the national "863 Program" project "demonstration application of a new type of biomass gas-cooled heat and power supply system", The software for optimal operation of the combined cooling and heat supply system is completed and applied to engineering practice. The feasibility of the proposed optimal scheduling method in engineering application is verified.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM61;TU83

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