Valencia Ochoa Guillermo, Ortiz Eunice Villicaña, Forero Jorge Duarte
Department of Mechanical Engineering, Universidad del Atlántico, Barranquilla, 081007, Colombia.
Energy Engineering, Universidad de Ingeniería y Tecnología (UTEC), Lima, 15063, Peru.
Heliyon. 2023 Feb 21;9(3):e13697. doi: 10.1016/j.heliyon.2023.e13697. eCollection 2023 Mar.
The use of solar energy is considered a potential strategy for the production of electrical energy through thermal heat sources. This article portrays a study framed to be energetic, economic, and environmental fields. This study was carried out in two thermal configurations: the Regenerative Rankine Cycle (RORC) and the Simple Organic Rankine Cycle (SORC), which use solar energy to supply electrical power to a building. The thermodynamic and economic models were proposed for each subsystem of the thermal process, allowing hourly simulations to know the economic indicators such as the payback period (PBP), the levelized cost of energy (LCOE), the specific investment cost (SIC), and the initial investment cost ( ). The effect of operational variables such as the pressure ratio (rp), the evaporator pinch point temperature (Ap), the condensation pinch point temperature (Tcond), and the solar collector area (Ac) on the Relative Annual Benefit (RAB) were studied. Finally, the Particle Swarm Optimization (PSO) algorithm was implemented to optimize the economic indicators and the environmental impact of the thermal configurations. Results showed that the RORC configuration presented a better performance in terms of generation, purchase, and hourly sale of energy. However, in terms of RAB, the SORC (39,833 USD/year) showed better results in contrast to the RORC (39,604 USD/year) for an evaporator pinch point temperature of 35 °C. Finally, the application of the PSO optimization algorithm allowed the reduction of the LCOE (11.64%), SIC (11.67%), and PBP (11.81%) thermo-economic indicators from the base condition for the SORC, and the reductions obtained in the RORC were LCOE (18.11%), SIC (10.67%), and PBP (11.11%). However, the decrease in environmental Impact for both systems was less than 1% as a consequence of the high contribution of thermal oil in the construction phase of the system.
太阳能的利用被认为是一种通过热热源生产电能的潜在策略。本文描述了一项针对能源、经济和环境领域的研究。该研究在两种热力配置下进行：回热朗肯循环（RORC）和简单有机朗肯循环（SORC），它们利用太阳能为建筑物供电。针对热力过程的每个子系统提出了热力学和经济模型，允许进行每小时模拟以了解经济指标，如投资回收期（PBP）、平准化能源成本（LCOE）、特定投资成本（SIC）和初始投资成本（ ）。研究了诸如压力比（rp）、蒸发器节点温度（Ap）、冷凝节点温度（Tcond）和太阳能集热器面积（Ac）等运行变量对相对年度效益（RAB）的影响。最后，实施了粒子群优化（PSO）算法以优化热力配置的经济指标和环境影响。结果表明，RORC配置在能源的生产、购买和每小时销售方面表现出更好的性能。然而，就RAB而言，对于蒸发器节点温度为35°C的情况，SORC（每年39,833美元）与RORC（每年39,604美元）相比显示出更好的结果。最后，PSO优化算法的应用使SORC基本条件下的LCOE（降低11.64%）、SIC（降低11.67%）和PBP（降低11.81%）等热经济指标有所降低，RORC中获得的降低幅度为LCOE（18.11%）、SIC（10.67%）和PBP（11.11%）。然而，由于导热油在系统建设阶段的高贡献，两个系统的环境影响降低均小于1%。
