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    基于分布式光伏发电的高寒高海拔地区建筑能源系统优化设计

    Optimization of solar energy-based design of integrated energy system in alpine and high altitude areas

    • 摘要: 针对高寒高海拔地区建筑的供电、供暖、供氧以及供净水等关键问题,以西藏自治区拉萨市典型单层建筑为研究对象,提出基于分布式光伏发电的高寒高海拔地区建筑能源系统。通过DeST软件模拟计算,确定目标建筑的平均供暖热指标为51.82 W/m2,全年供电量为3040.4 kWh。在此基础上,建立包含光伏发电系统、空气源热泵、电解制氢氧系统、储能系统以及燃料电池等数学模型,以系统年化成本、能源自给率、能源系统效率作为优化目标,优化过程结合CPLEX与IPOTO求解器进行高效求解,采用归一化加权法求得系统容量配置的Pareto前沿解集,并通过熵权法修正的TOPSIS方法对解集进行多维评价,确定三个优化目标间的权重分配为0.23、0.29、0.48,得到最优系统容量配置。优化结果表明:系统年化成本为0.87万元,能源自给率为87.59%,能源系统效率为83.34%。通过典型日功率平衡分析,验证了系统在不同季节运行中的电、热、氢、氧等多能流协调能力,表明计算配置在满足复杂负荷需求的同时具备良好的经济性与稳定性,实现了系统在极端环境下的可靠运行与多能互补。最后对系统进行敏感性分析,得出影响投资回收期以及能源系统效率的主要因素分别为光伏并网电价和热泵机组能工作性能系数,为分布式能源系统在高寒高海拔地区建筑中的集成设计及应用提供了理论支撑。

       

      Abstract: Aiming at addressing the critical issues of power supply, heating, oxygen supply, and purified water provision for buildings in alpine and high-altitude areas, this study proposes a distributed energy system based on photovoltaic power generation, taking a typical single-story building in Lhasa, Tibet Autonomous Region, as the research object. Simulation calculations using DeST software determined the building's average heating index to be 51.82 W/m2 and the annual electricity demand to be 3 040.4 kWh. A mathematical model of the system was established, incorporating PV generation, air-source heat pumps, a hydrogen-oxygen production system via electrolysis, energy storage systems, and fuel cells. The system's annualized cost, energy self-sufficiency rate, and energy system efficiency were set as optimization objectives. The optimization process involved efficient solving using the CPLEX and IPOTO solvers. The normalized weighted sum method was employed to obtain the Pareto solution set for system capacity configuration. The entropy weight-TOPSIS method was then applied for multi-dimensional evaluation of the solution set, determining the weight distribution among the three objectives as 0.23, 0.29, and 0.48, respectively, thereby obtaining the optimal system capacity configuration. The optimization results show an annualized cost of 8 700 yuan, an energy self-sufficiency rate of 87.59%, and an energy system efficiency of 83.34%. Power balance analysis on typical days verified the system's capability for multi-energy flow coordination across different seasons, demonstrating that the configured system achieves good economic performance and stability while meeting complex load demands, and realizes reliable operation and multi-energy complementarity under extreme environmental conditions. Finally, sensitivity analysis identified the photovoltaic feed-in tariff and the coefficient of performance of the heat pump unit as the primary factors influencing the investment payback period and the energy system efficiency, respectively. This study provides theoretical support for the integrated design and application of distributed energy systems in buildings located in alpine and high-altitude regions.

       

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