基于HOMER Pro软件的校级综合能源系统经济性分析研究——以中国农业大学东校区为例

Wen-Chang Zhao, Y. Zheng, A. Chen, Yongning Zhao
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摘要

本研究采用HOMER Pro软件对中国农业大学东校区建设的综合能源系统进行设计和经济分析。在综合能源系统的设计中,收集了中国农业大学一年内的电力和天然气采购量。根据所在区域的自然地理、气候条件和新能源类型,设计校园综合能源系统供电单元,包括电网、风力发电、光伏发电、生物质发电和铅酸蓄电池;将生物质发电机组余热回收与燃气锅炉相结合,共同供给系统热负荷,可以减少燃气的使用,减少对单一能源的依赖,提高资源利用率。以系统20年设计寿命的最低能源成本(COE)和净当前成本(NPC)为目标,以满足中国农业大学东校区的能源需求为约束,对中国农业大学东校区的4种能源供应方案进行了比较,并利用Homer软件进行了仿真建模。目标是整合可再生能源并计算四种场景配置的成本,即该园区综合能源系统在并网条件下的最优组件配置,以实现具有成本效益的综合能源系统运行规划账单。仿真结果表明,以风电(WT)-光伏(PV)-生物质能电池为能源供应系统的方案,COE最低,NPC最低,分别为0.0671美元和1.53亿美元;简而言之,与当地0.1美元的购电成本相比,可以降低32.9%的用电成本,最重要的是,它有助于为园区创造一个基于新能源的综合能源系统概念。
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Study on the Economic Analysis of Campus-Level Integrated Energy System Based on HOMER Pro Software: China Agricultural University East Campus Example
In this study, HOMER Pro software was used to design and economically analyze the integrated energy system constructed by the East Campus of China Agricultural University. In the design of the integrated energy system, the amount of electricity and natural gas purchased by China Agricultural University in a year is collected. According to the natural geography, climate conditions and new energy types of the regional district, the power supply units of the integrated energy system of the campus are designed to include the power grid, wind power generation, photovoltaic power generation, biomass power generation and lead-acid batteries; the combination of waste heat recovery from biomass generators and gas boilers to jointly supply the heat load of the system can reduce the use of gas, reduce the reliance on a single energy source and improve the utilization rate of resources. With the target of the lowest cost of energy (COE) and net present cost (NPC) for the 20-year design life of the system and the constraint of meeting the energy demand of the East Campus of China Agricultural University, four energy supply scenarios of the East Campus of China Agricultural University were compared and simulated and modeled using Homer software. The objective is to integrate renewable energy sources and calculate the cost of four scenario configurations, the optimal component configuration of this park's integrated energy system under grid-connected conditions, in order to achieve a cost effective integrated energy system operation planning bill. The simulation results show that the scenario with Wind turbine (WT)-Photovoltaic (PV)-Biomas-battery as the energy supply system has the lowest COE and NPC of $0.0671 and $153 million, respectively; in short, after comparing with the local power purchase cost of $0.1, the cost of electricity consumption can be reduced by 32.9%, and most importantly, it helps to create an integrated energy system concept for the park based on new energy sources.
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