办公楼用相变材料蓄热吸附式制冷机的选型与设计:尼日利亚案例研究

Mkpamdi Eke , Tagne Takote Brice Clausel , Cosmas Anyanwu , Onyekwere Ojike , Fidelis Abam
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引用次数: 0

摘要

尼日利亚的平均太阳辐射量为6.29 kW/m²/天,这使其成为太阳能辅助冷却系统的理想选择。在本研究中,利用硅胶-水对对尼日利亚大学Nsukka的24 m³办公室进行了集成太阳能驱动吸附制冷机的可行性研究。该原型采用了双阶段,两床的热量和质量回收设计,并将热能储存作为创新,以解决昼夜不匹配以及太阳能集热器不信任时间的问题。结果表明,该系统的冷负荷为2.7 ~ 3.5 kW,制冷量为250 W/m²/ 10 h,性能系数(COP)为0.68。太阳能输入功率为3.5-7.5 kW,真空管集热器面积为1.75 m²。本研究验证了使用28 kg石蜡进行储热,其制冷量为9406 kJ,制冷效果为715.43 kJ,循环性能系数COPcy为0.08,比冷功率(SCP)为77 W/kg。这一模式为尼日利亚特别是非洲的气候可持续降温提供了一个有希望的解决方案。然而,开发的模型可以产生高达8 千瓦的冷却功率,23 公斤的硅胶,略超过典型的办公室大小。其特点是最小的办公参数可能会影响系统的性能,由于天气条件。因此,所考虑的一些参数略微扩大,以便集成多个办公室。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sizing and designing of an adsorption chiller with phase change material thermal storage for an office building: Case study Nigeria
Nigeria receives an average of 6.29 kW/m²/day of solar radiation, making it ideal for solar-assisted cooling systems. In this study, a feasibility study of integrating solar-driven adsorption chiller was conducted for a 24 m³ office at the University of Nigeria, Nsukka using a silica gel-water pair. The prototype features a double-stage, 2-bed heat and mass recovery design with thermal energy storage as innovation to cover the mismatch between the day and night as well as during distrust time of solar collector. Results showed a cooling load of 2.7–3.5 kW, requiring a cooling capacity of 250 W/m² over 10 h with a performance coefficient (COP) of 0.68. A solar power input of 3.5–7.5 kW was achieved with an evacuated tube collector area of 1.75 m². The study validated the use of 28 kg of paraffin wax for heat storage and demonstrated a refrigeration capacity of 9406 kJ and cooling effect of 715.43 kJ with a cycle performance’s coefficient COPcy of 0.08 as well as specific cooling power (SCP) of 77 W/kg. This model offers a promising solution for sustainable cooling in Nigeria's climate especially and in Africa globally. However, the developed model can generate up to 8 kW cooling power with 23 kg of silica gel, which slightly exceeds the typical office size. This is characterized by the smallest office parameters that may affect the system’s performance due to the weather conditions. Thus, some parameters considered are slightly scaled up enabling the integration of more than one office.
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