A park-level agricultural energy internet is an important developing direction of the energy internet in the future. Meteorology is one of the important factors that affect the security of a park-level agricultural energy internet. How to realize the security analysis of a park-level agricultural energy internet is an urgent problem to be solved. Therefore
this paper followed the law of conservation of matter
law of conservation of energy
law of conservation of information
and law of energy-matter conversion
considering meteorological factors and crop growth characteristics. Meanwhile
studying the application of artificial intelligence technology in agricultural engineering and electric engineering interdisciplinary from the perspective of system science. Furthermore
in order to achieve a win-win situation for food security and energy security
we explored the safety issues brought by agro-meteorology and energy meteorology to the park-level agricultural energy internet
and proposed ideas for online safety analysis of the park-level agricultural energy internet.
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references
College of Information and Electrical Engineering, China Agricultural University, China,the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), China,School of Electronic and Information Engineering, Beihang University, China,Department of Electrical Engineering, Tsinghua University, China.Failure probability estimation of the gas supply using a data-driven model in an integrated energy system[J].Applied Energy,2018.
L.L. Benites-Lazaro,L. Giatti,A. Giarolla.Topic modeling method for analyzing social actor discourses on climate change- energy and food security[J].Energy Research & Social Science,2018.
Ilhan Ozturk.The dynamic relationship between agricultural sustainability and food-energy-water poverty in a panel of selected Sub-Saharan African Countries[J].Energy Policy,2017.
Eanna Farrell,Mohamed I. Hassan,Ramato A. Tufa,Arttu Tuomiranta,Ahmet H. Avci,Antonio Politano,Efrem Curcio,Hassan A. Arafat.Reverse electrodialysis powered greenhouse concept for water- and energy-self-sufficient agriculture[J].Applied Energy,2017.
Changsheng Li,Haiyu Wang,Hong Miao,Bin Ye.The economic and social performance of integrated photovoltaic and agricultural greenhouses systems: Case study in China[J].Applied Energy,2017.
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA,School of Business, Society & Engineering, Mälardalen University, Västerås, SE 72123, Sweden,Universities Space Research Association, Columbia, MD 21044, USA,NASA/Goddard Space Flight Center, Greenbelt, MD 20771, USA,School of Chemical Science & Engineering, KTH Royal Institute of Technology, Stockholm, SE 10044, Sweden,School of Business, Society & Engineering, Mälardalen University, Västerås, SE 72123, Sweden,School of Chemical Science & Engineering, KTH Royal Institute of Technology, Stockholm, SE 10044, Sweden,NASA Ames Research Center Cooperative for Research in Earth Science and Technology (NASA ARC-CREST), Moffett Field, CA 94035, USA,California State University Monterey Bay, Seaside, CA 93955, USA,School of Business, Society & Engineering, Mälardalen University, Västerås, SE 72123, Sweden,School of Chemical Science & Engineering, KTH Royal Institute of Technology, Stockholm, SE 10044, Sweden.The water-food-energy nexus optimization approach to combat agricultural drought: a case study in the United States[J].Applied Energy,2018.
Jiaoliao Chen,Fang Xu,Dapeng Tan,Zheng Shen,Libin Zhang,Qinlin Ai.A Control Method for Agricultural Greenhouses Heating based on Computational Fluid Dynamics and Energy Prediction Model[J].Applied Energy,2014.
B.H.E. Vanthoor,C. Stanghellini,E.J. van Henten,P.H.B. de Visser.A methodology for model-based greenhouse design: Part 1, a greenhouse climate model for a broad range of designs and climates[J].Biosystems Engineering,2011(4).