Design of intelligent control system for agricultural greenhouses based on adaptive improved genetic algorithm for multi-energy supply system

Article Agriculture, Multidisciplinary

Simulation of a convectively-cooled unventilated greenhouse

Geordie Zapalac

Summary: This study presents a simulation to evaluate a novel cooling system for unventilated greenhouses. The system cools the greenhouse during the day by transferring heat from the greenhouse air into a water reservoir, and discharges the accumulated heat to the outside air through an air-to-air heat exchanger during the night and morning. The simulation predicts that the energy requirement of the proposed cooling system is 6.9 times less than that of an air-cooled chiller with a coefficient of performance of 4, assuming a minimum ambient temperature of 12 degrees C.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

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Article Computer Science, Theory & Methods

An optimization scheme for IoT based smart greenhouse climate control with efficient energy consumption

Israr Ullah et al.

Summary: The application of IoT in greenhouse production can significantly increase crop yield and reduce energy consumption and costs. By optimizing and controlling the greenhouse climate, more efficient production can be achieved. Further research will explore more possibilities for improving energy efficiency.

COMPUTING (2022)

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Article Automation & Control Systems

Semiclosed Greenhouse Climate Control Under Uncertainty via Machine Learning and Data-Driven Robust Model Predictive Control

Wei-Han Chen et al.

Summary: The proposed DDRMPC framework integrates dynamic control models with data-driven robust optimization models to accurately capture uncertainty, resulting in improved greenhouse climate control performance and cost reduction compared to other control strategies.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2022)

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Article Energy & Fuels

Parametric sweep simulation for greenhouse temperature field optimization: An Italian case study

Stefano Morelli et al.

Summary: This paper presents a case study of an Italian farm, in which greenhouse design and heating system optimization were simulated to cultivate basil during the winter season and improve resource utilization.

ENERGY REPORTS (2022)

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Article Computer Science, Artificial Intelligence

Three-day forecasting of greenhouse gas CH4 in the atmosphere of the Arctic Belyy Island using discrete wavelet transform and artificial neural networks

Anna Rakhmatova et al.

Summary: A hybrid model combining wavelet transform and artificial neural networks (ANN) was proposed to forecast the time series of methane concentration, aiming to improve accuracy in predicting surface concentration changes. The model, based on data from environmental monitoring in Russia, decomposed CH4 concentration time series using wavelet transform and trained ten ANNs. The hybrid approach improved forecast accuracy by over 20%, with NARX-based model displaying the best performance.

NEURAL COMPUTING & APPLICATIONS (2021)

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Article Mathematical & Computational Biology

Parameter Tuning of PID Controller for Beer Filling Machine Liquid Level Control Based on Improved Genetic Algorithm

Liqing Xiao

Summary: This paper studied the parameter tuning of PID controller for liquid level control of beer filling machine, proposed an improved genetic algorithm, and achieved superior performance in accuracy and convergence speed compared with other algorithms.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2021)

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Article Automation & Control Systems

Optimal economic dispatching of multi-microgrids by an improved genetic algorithm

Haoyu Jiang et al.

Summary: A multi-microgrid economic dispatching strategy based on adaptive mutation genetic algorithm is proposed for systems with different load types and power demands. The optimal dispatching model considers the synergy and complementarity between microgrids, aiming to minimize operation cost and environmental protection cost. An adaptive mutation genetic algorithm is used to optimize the system model and find the optimal economic dispatching scheme.

IET CYBER-SYSTEMS AND ROBOTICS (2021)

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Article Geochemistry & Geophysics