Sizing optimisation under irradiance uncertainty of irrigation systems powered by off-grid solar panels

IF 8.9 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2025-05-01 Epub Date: 2025-02-07 DOI:10.1016/j.compag.2025.110034
F.J. Navarro-González , J. Manzano , M.A. Pardo
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Abstract

Sizing a photovoltaic installation is crucial for decision-makers, researchers and practitioners managing pressurised irrigation networks powered by solar panels. Photovoltaic off-grid installations offer energy efficiency, lower operation costs, environmental benefits and economic profitability. Network managers must strategically account for the energy limitations of solar installations when irrigating. Moreover, the manager has the challenge of synchronising energy production with the energy consumption of the pumping equipment that supplies water to crops. We propose a technique to optimise the sizing of photovoltaic installations to maximise energy consumption in pumps, thereby meeting the water demands of crops while considering the uncertainties associated with non-clear sky conditions. This approach enhances the management of installations and can schedule the opening and closing of hydrants and irrigation intakes to supply water to crops efficiently. Finally, a real case study in the University of Alicante irrigation network was conducted for two scenarios. The first is to calculate irradiance and the electrical production curve using a theoretical model (very close to reality in latitudes like Alicante, Spain). Real data obtained from a nearby meteorological station is used for the second scenario. In both cases, non-clear sky conditions are considered to establish a relationship between the probability of clear sky (α=1) and the minimum number of PV modules (537 or 509 for the theoretical model and real data, respectively). For days without direct normal irradiance (α=0), the minimum number of modules is 2145 and 991. Practitioners or decision-makers must find a compromise that meets water demands while minimising the size of the installation.
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离网太阳能电池板供电灌溉系统辐照度不确定下的尺寸优化
对于管理由太阳能电池板供电的加压灌溉网络的决策者、研究人员和实践者来说,确定光伏装置的规模至关重要。光伏离网装置提供了能源效率、更低的运行成本、环境效益和经济效益。管网管理者必须从战略上考虑到太阳能装置在灌溉时的能量限制。此外,管理人员还面临着将能源生产与向作物供水的抽水设备的能源消耗同步化的挑战。我们提出了一种技术来优化光伏装置的尺寸,以最大限度地提高水泵的能源消耗,从而满足作物的用水需求,同时考虑到与不晴朗的天空条件相关的不确定性。这种方法加强了对设施的管理,可以安排消火栓和灌溉入口的开启和关闭,以便有效地向作物供水。最后,以阿利坎特大学灌溉网络为研究对象,对两种场景进行了实际案例研究。第一种方法是使用理论模型计算辐照度和电产生曲线(在西班牙阿利坎特等纬度地区非常接近现实)。从附近气象站获得的真实数据用于第二种情况。在这两种情况下,都考虑非晴空条件,以建立晴空概率(α=1)与最小PV组件数量(理论模型和实际数据分别为537或509)之间的关系。在没有直接正常辐照度(α=0)的情况下,最小模组数分别为2145和991。从业者或决策者必须找到一个折衷方案,既能满足用水需求,又能最大限度地减少设备的尺寸。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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