Environmental assessment of industrial aquaponics in arid zones using an integrated dynamic model

IF 7.7 Q1 AGRICULTURE, MULTIDISCIPLINARY
Ze Zhu , Uri Yogev , Amit Gross , Karel J. Keesman
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引用次数: 0

Abstract

Land desertification, water scarcity, and food security challenges in arid zones are intensifying, driving the need for sustainable agricultural solutions like aquaponics. This study investigated innovative water and energy-saving strategies using an integrated dynamic model for an on-demand industrial aquaponics system in Israel. The model evaluated the performance of a recirculating aquaculture system (RAS), hydroponics system (HPS), and desalination unit (DU) by adjusting physical and operational parameters to optimize water and nutrient use efficiency, energy consumption, and yield. Optimizing the system design resulted in an aquaponics system with approximately 420 m3 RAS, 6.85 ha HPS and 40 m3/d DU, achieving phosphorus use efficiency of 96 %, a water use efficiency of 97 %, freshwater input of 1.5 L/day/m2, and energy consumption of 0.56 kWh/day/m2. To mitigate the challenges of extreme arid climates, evaporative cooling combined with outdoor shading and mechanical cooling was found to be a feasible option to control temperature and humidity in the greenhouse. Dehumidification technologies further improved system performance by recovering 22 % freshwater from seawater and increasing nitrogen use efficiency by 18 %. Achieving daily energy self-sufficiency required 4500 m2 photovoltaic panels and 5000 m2 solar heating system. While the system model was initially devised with a specific focus on conditions in Israel, it has been designed with scalability, allowing it to be adapted and applied extensively across diverse peri-urban regions and arid zones globally.

Abstract Image

基于综合动态模型的干旱区工业水培环境评价
干旱地区的土地荒漠化、水资源短缺和粮食安全挑战正在加剧,推动了对水培等可持续农业解决方案的需求。本研究利用以色列按需工业水培系统的综合动态模型调查了创新的水和节能策略。该模型通过调整物理和操作参数,对循环水养殖系统(RAS)、水培系统(HPS)和海水淡化装置(DU)的性能进行评估,以优化水和养分利用效率、能耗和产量。优化后的水培系统RAS为420 m3, HPS为6.85 ha, DU为40 m3/d,磷利用效率为96%,水利用效率为97%,淡水输入量为1.5 L/d /m2,能耗为0.56 kWh/d /m2。为了缓解极端干旱气候的挑战,蒸发冷却结合室外遮阳和机械冷却被认为是控制温室温度和湿度的可行选择。除湿技术进一步提高了系统性能,从海水中回收22%的淡水,提高了18%的氮利用效率。实现每日能源自给需要4500平方米的光伏板和5000平方米的太阳能供暖系统。虽然该系统模型最初是专门针对以色列的情况设计的,但它的设计具有可扩展性,可以在全球不同的城市周边地区和干旱地区进行调整和广泛应用。
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来源期刊
Information Processing in Agriculture
Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
21.10
自引率
0.00%
发文量
80
期刊介绍: Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining
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