Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Hybrid Methodology Based on Smart Management Energy Consumption in Irrigation Systems

Version 1 : Received: 18 October 2021 / Approved: 19 October 2021 / Online: 19 October 2021 (08:34:22 CEST)

A peer-reviewed article of this Preprint also exists.

Scarlatache, F.; Grigoras, G.; Scarlatache, V.-A.; Neagu, B.-C.; Ivanov, O. A Hybrid Methodology Based on Smart Management Energy Consumption in Irrigation Systems. Electronics 2021, 10, 2864. Scarlatache, F.; Grigoras, G.; Scarlatache, V.-A.; Neagu, B.-C.; Ivanov, O. A Hybrid Methodology Based on Smart Management Energy Consumption in Irrigation Systems. Electronics 2021, 10, 2864.

Journal reference: Electronics 2021, 10, 2864
DOI: 10.3390/electronics10222864

Abstract

Innovative practices in irrigation systems can bring improvements in terms of economic efficiency and in the same time can reduce environmental impact. Investment in high tech technologies frequently involves additional costs, but an efficient water management can increase the lifetime of the equipment. The main objective of this article is to reduce the energy consumption by one thousand cubic meters pumped and automatically to increase the economic efficiency of the pumping groups. This paper develops a new operating algorithm that ensures the operation of the pumping group at safe operating intervals and in the same time identifies the equivalent pump operating points for the entire flow range and pumping height of the pumping group. This methodology is based on the principles of an Expert System to perform the optimization process of the energy consumption in pumping groups. The resulting methodology avoids the combinatorial explosion of the solutions to be analyzed and determines the point of maximum efficiency without violation of any of the system constraints under any operating condition. The proposed methodology is tested on an irrigation system that includes a pumping group with 5 pumps, showing its effectiveness in obtaining the optimal solution with a relatively low computational burden.

Keywords

energy consumption; optimization; expert system; irrigation system

Subject

ENGINEERING, Electrical & Electronic Engineering

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