Modeling of comprehensive power load of fishery energy internet considering fishery meteorology

被引:2
|
作者
Fu, Xueqian [1 ,2 ,3 ,4 ,5 ]
Gou, Tong [1 ]
机构
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China
[2] China Agr Univ, Natl Innovat Ctr Digital Fishery, Beijing, Peoples R China
[3] Minist Agr & Rural Affairs, Key Lab Smart Farming Technol Aquat Anim & Livesto, Beijing, Peoples R China
[4] Beijing Engn & Technol Res Ctr Internet Things Agr, Beijing, Peoples R China
[5] CIEE 633, 17 Qinghua Donglu, Beijing 100083, Peoples R China
来源
INFORMATION PROCESSING IN AGRICULTURE | 2023年 / 10卷 / 04期
关键词
Comprehensive power load; Fishery energy internet; Meteorology sensitivity; Onshore fish pond; Modeling and integration;
D O I
10.1016/j.inpa.2023.02.008
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Accurate calculation for comprehensive power load of fishery energy internet plays a sig-nificant role in reasonable using of energy and reducing environmental pollution. How-ever, as fishery power load is of greatly unique meteorology sensitivity, it continues to be a difficult problem. Therefore, the research of fishery meteorology is an important part of the rational development of fishery resources, the protection of production safety, and the pursuit of high and stable yield. This paper makes a deep study on the power load of the fishery energy internet under the influence of fishery meteorology and takes onshore fish pond as the research object. First of all, the power load is divided into three parts: oxygen enrichment power load, feeding power load, and water replenishment and drai-nage power load. The impact mechanism of fishery meteorology (including temperature, surface wind speed, precipitation, relative humidity, etc.) on it is described, and then the overall power load is obtained through modeling and integration. Finally, taking the Yuguang Complementary Project in Zhouquan Town, Tongxiang, Zhejiang Province, China as an example, using the meteorological data of its typical spring day and using the MATLAB tool to solve, the hourly comparison of the three types of power loads, the com-prehensive power load demand, the full-day electricity charge forecast and the total annual power consumption are calculated. The annual power consumption per hectare and per kilogram of output calculated by simulation are basically consistent with the order of magnitude of the survey data, which proves the validity of the model proposed. The model established in this paper is an original work, and the exploration of fishery energy internet can draw lessons from it. (c) 2023 China Agricultural University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:581 / 591
页数:11
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