Mahmoud A Abdelhamid, Tarek Kh Abdelkader, Hassan A A Sayed, Zhao Zhang, Xiaohui Zhao, Mohamed F Atia
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引用次数: 0
Abstract
Urban areas face significant challenges, including a lack of green spaces, scarce water resources, environmental pollution, and elevated heat emissions, particularly in developing countries experiencing rapid population growth. Therefore, the study aims to advance sustainable urban agriculture by designing and evaluating a solar-powered smart rooftop irrigation system for peppermint cultivation. The system incorporates two drip irrigation setups-conventional and smart irrigation-powered by photovoltaic (PV) panels. The smart system integrates real-time monitoring of critical variables, including (1) soil moisture, (2) relative humidity, (3) PV panel temperature, and (4) PV panel current and voltage. Key performance metrics such as water and energy consumption, water use efficiency, energy productivity, and carbon dioxide emissions were evaluated for both systems. In addition, the economic analysis of the smart system was determined. Results revealed that the smart system reduced water and energy consumption by 28.1% compared to conventional irrigation. Additionally, the smart system achieved a notable reduction in carbon footprint, with CO2 emissions of 0.181 kg CO₂/m2/year compared to 0.252 kg CO₂/m2/year for the conventional system. The system's economic analysis demonstrated a payback period of 5.6 years, highlighting its financial viability. This study underscores the transformative potential of solar-powered smart irrigation systems in enhancing food security, conserving water, reducing energy consumption, and mitigating carbon emissions in urban agriculture.
城市地区面临着重大挑战,包括缺乏绿色空间、水资源稀缺、环境污染和热量排放增加,特别是在人口快速增长的发展中国家。因此,该研究旨在通过设计和评估用于薄荷种植的太阳能智能屋顶灌溉系统来推进可持续城市农业。该系统包括两种滴灌装置——传统和智能灌溉,由光伏电池板供电。智能系统集成了关键变量的实时监测,包括(1)土壤湿度,(2)相对湿度,(3)光伏板温度,(4)光伏板电流和电压。对两个系统的关键性能指标,如水和能源消耗、水利用效率、能源生产率和二氧化碳排放进行了评估。此外,对智能系统进行了经济分析。结果显示,与传统灌溉相比,智能系统减少了28.1%的水和能源消耗。此外,智能系统显著减少了碳足迹,二氧化碳排放量为0.181 kg CO₂/m2/年,而传统系统的二氧化碳排放量为0.252 kg CO₂/m2/年。该系统的经济分析表明,投资回收期为5.6年,突出了其财务可行性。这项研究强调了太阳能智能灌溉系统在加强粮食安全、节约用水、减少能源消耗和减少城市农业碳排放方面的变革潜力。
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