Witanowski Łukasz
Institute of Fluid-Flow Machinery, Polish Academy of Sciences, 80-231 Gdańsk, Poland.
Materials (Basel). 2024 Nov 28;17(23):5839. doi: 10.3390/ma17235839.
The urgent need for environmentally sustainable cooling technologies, driven by global regulatory constraints, has intensified the search for natural refrigerants with low global warming potential. This study evaluates the potential of natural refrigerants, specifically butane and isobutane, in advanced single- and dual-fluid Organic Rankine Cycle-Vapor Compression Cycle (ORC-VCC) systems to enhance energy efficiency and environmental sustainability. Using the Non-dominated Sorting Genetic Algorithm II (NSGA-II) within a multi-objective framework, the optimization maximizes key performance metrics such as coefficient of performance (COP) and cooling power, while the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method enables a refined ranking of optimal solutions. Findings reveal that the isobutane (ORC)-butane (VCC) dual-fluid configuration achieves the highest overall COP of 0.447 and a cooling capacity of 35.517 kW, surpassing the reference fluid R1233zd, which attains a COP of 0.374 and a cooling capacity of 30.361 kW. Isobutane-based configurations consistently deliver higher COP and cooling capacities than R1233zd, highlighting isobutane's suitability for applications demanding high energy efficiency. Pressure analysis revealed that R1233zd exhibits the highest pressure ratio of , necessitating more complex compressor designs. In contrast, isobutane configurations offer favorable pressure ratios and similar pressure parameters in both single and dual setups, simplifying compressor design requirements. This research provides valuable guidance for developing sustainable ORC-VCC systems by combining effective fluid selection and advanced multi-objective optimization techniques to meet both environmental and operational criteria.
在全球监管限制的推动下,对环境可持续制冷技术的迫切需求加剧了对全球变暖潜势低的天然制冷剂的探索。本研究评估了天然制冷剂,特别是丁烷和异丁烷,在先进的单流体和双流体有机朗肯循环 - 蒸汽压缩循环(ORC - VCC)系统中提高能源效率和环境可持续性的潜力。在多目标框架内使用非支配排序遗传算法II(NSGA - II)进行优化,可将诸如性能系数(COP)和制冷量等关键性能指标最大化,而逼近理想解排序法(TOPSIS)则能对最优解进行精细排序。研究结果表明,异丁烷(ORC) - 丁烷(VCC)双流体配置实现了最高的总COP为0.447,制冷量为35.517 kW,超过了参考流体R1233zd,后者的COP为0.374,制冷量为30.361 kW。基于异丁烷的配置始终比R1233zd具有更高的COP和制冷量,突出了异丁烷在要求高能效应用中的适用性。压力分析表明,R1233zd的压力比最高,需要更复杂的压缩机设计。相比之下,异丁烷配置在单流体和双流体设置中都提供了有利的压力比和相似的压力参数,简化了压缩机设计要求。本研究通过结合有效的流体选择和先进的多目标优化技术,为开发可持续的ORC - VCC系统提供了有价值的指导,以满足环境和运行标准。