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Energy, environmental, economic, and color analysis of geo-exchange energy assisted-insulated north wall solar dryer for onion slices under relatively cloudy and rainy conditions

太阳能干燥器 投资回收期 环境科学 相对湿度 火用 太阳能 热交换器 地热能 可再生能源 大气科学 气象学 环境工程
作者
Tarik Hadibi,Abdelghani Boubekri,Djamel Mennouche,Abderrahmane Benhamza,Khaled Mazouzi,Anil Kumar,Hong-Wei Xiao,Karim Allaf
出处
期刊:Solar Energy [Elsevier]
卷期号:236: 1-16
标识
DOI:10.1016/j.solener.2022.02.037
摘要

• Effectiveness of geothermal/solar drying system for onion in cloudy and rainy weather is studied. • Energy, exergy and environmental analysis of the drying system have been determined. • Solar fraction and geothermal fraction have been verified. • Average payback period of the system was found to be 0.74 years. • Low total color change of dried onion was observed. Preservation of onion surplus during rainy and cloudy days is a big challenge for farmers in the so-far area in northern Sahara of Algeria. Thus, available renewable energies such as geo-exchange and solar energy could be an effective solution. In the current study, an insulated north wall solar dryer (INWSD) integrated with geo-exchange heat exchanger (GHE) with inlet temperature of 80 °C was tested for drying onion slices under cloudy and rainy weather. Solar radiation and ambient temperature were in the range of 0–447 W m −2 and 9.65–26.53 °C, respectively. Drying process took 28 consecutive hours. Average diffusivity was found to be 2.81 × 10 −10 m 2 s −1 by considering the variation of relative humidity and temperature inside the drying chamber. Specific energy consumption varied between 0.66 and 1.75 kWh/kg with an average of 1.71 kWh/kg. Thermal efficiency was in the range of 1.48%–48.90%, with an average value of 9.52%. The low CO 2 emissions of 46.69 kg/year and average payback period of 0.74 year were obtained using the INWSD. Dried onion was with low total color change at 3.79 compared to fresh samples. Therefore, INWSD is a promising technique by comprehensively considering the 3E (energy, economic, economic-environmental) and color analysis.

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