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Exergy, economic and environmental evaluation of an optimized hybrid photovoltaic-geothermal heat pump system

机译:优化的混合光伏 - 地热泵系统的电流,经济和环境评价

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This research presents different scenarios of hybrid photovoltaic-geothermal heat pump system that can provide the requirements of the heating and cooling load consumption in a residential building during the year. One of the major purposes of the present study is to explore the optimum contribution of the solar and ground source energies in which the generation energy costs are reasonable with respect to the total costs, lifetime, and energy losses. For this purpose, a numerical dynamic model consisting of different solar photovoltaic (PV) panels of polycrystalline, monocrystalline, and thin-film cells, batteries, inverter, and ground source heat pump (GSHP) was developed using the engineering equation solver and TRNSYS software. In order to reach the best performance of the system, multi- and single-objective optimizations of the life cycle cost and irreversibility were carried out using the particle swarm optimization algorithm considering all effective parameters of the system including surface area, slope, direction of PV panels and battery capacity. Moreover, the optimization tool which was developed in MATLAB software, was adopted for data interaction between TRNSYS and MATLAB. The results indicate that among various scenarios, the optimized hybrid polycrystalline PV system with an area of 35 m(2) and a solar fraction of 31% can be cost-effective up to a 24% inflation rate. Also, the payback period of the optimized hybrid system compared to the regular GSHP is 3 years with the average global costs, while this value is 10 years for Iran's economic situation.
机译:本研究介绍了混合光伏 - 地热泵系统的不同情景,可以在年内提供住宅建筑中的加热和冷却负荷消耗的要求。本研究的主要目的之一是探讨太阳能和地源能量的最佳贡献,其中相对于总成本,寿命和能量损失是合理的。为此目的,使用工程方程求解器和Trnsys软件组成的多晶,单晶和薄膜电池,电池,逆变器和地源热泵(GSHP)的不同太阳能光伏(PV)面板组成的数值动态模型。为了达到系统的最佳性能,考虑到包括表面积,斜坡,PV方向的系统的所有有效参数,使用粒子群优化算法进行生命周期成本和不可逆转性的多和单目标优化。面板和电池容量。此外,在TRNSYS和MATLAB之间的数据交互采用了在MATLAB软件中开发的优化工具。结果表明,各种场景中,具有面积为35米(2)的优化的混合多晶光伏系统和31%的太阳能分数可以成本高达24%的膨胀率。此外,与常规GSHP相比,优化的混合系统的投资回收期为3年,平均全球成本,而这一值为伊朗经济形势为10年。

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