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Sustainable energy management of solar greenhouses using open weather data on MACQU platform

International Journal of Agricultural and Biological Engineering 2018年第1期11卷 74-82页

作者： Li Li Jieyu Li Haihua Wang ts.georgieva K.P.Ferentinos K.G.Arvanitis N.A.Sigrimis Key Laboratory on Modern Precision Agriculture System Integration Research of Ministry of Education China Agricultural UniversityBeijing 100083China Key Laboratory of Agricultural Information Acquisition Technology of Ministry of Agriculture China Agricultural UniversityBeijing 100083China Department of Automatics and Mechatronics University of RuseRuse 7017Bulgaria Hellenic Agricultural Organization“Demeter” Institute of Soil&Water ResourcesDept.of Agricultural Engineering61 Dimokratias Av.13561AthensGreece&Research Advisor at Geomations SAspinoff of Agricultural University of Athens Department of Natural Resources Management&Agricultural Engineering Agricultural University of AthensAthens 11855Greece Director R&D Department Geosmart IKEspinout of Geomations of AUANafplio 21100Greece

Precision energy management is very important for sustainability development of solar greenhouses,since huge energy demand for agricultural production both in quantity and quality.A proactive energy management,according to the optimal energy utilization in a look-ahead period with weather prediction,is presented and tested in this research.A multi-input-multi-output linear model of the energy balance of solar greenhouses based on on-line identification system can simulate greenhouse behavior and allow for predictive *** good time allocation of available solar energy can be achieved by intelligent use of controls,such as store/retrieve fans and ventilation windows,*** energy to warm up the air or to be stored in the storage elements(wall,soil,etc.)or to be exhausted to *** proactive energy management can select an optimal trajectory of air temperature for the forecasted weather period to minimize plants’thermal‘cost’defined by an‘expert’in terms of set-points for the specific *** selection of temperature trajectory is formulated as a generalized traveling salesman problem(GtsP)with precedence constraints and is solved by a genetic algorithm(GA)in this *** simulation study showed good potential for energy saving and timely allocation to prevent excessive crop *** active control elements in addition to predefining and applying,within energy constraints,optimal climate in the greenhouse,it also reduces the energy deficit,*** working hours of the‘heater’in the sustained freezing weather,as well as the ventilation hours,that is,more energy harvest in the warm *** intelligent solar greenhouse management system is being migrated to the web for serving a‘customer base’in the Internet Plus *** capacity,of the concrete ground CAUA system(CAUA is an abbreviations from both China Agricultural University and Agricultural University of Athens),to implement web‘updates’of criteria,open weather data and models,on which control

关键词： solar greenhouse precision energy management energy-saving open weather data traveling salesman optimization

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