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Temperature Control of MIMO System by Utilizing Ground Temperature and Weather Conditions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Heating/Cooling demands account for more than half of energy consumption in residential, agricultural and industrial fields. Ground Heat-Exchanger is an environmentally friendly solution used for heating/cooling purposes which is based on seasonal temperature difference between the ground and the ambient. A fuzzy-based controller is developed to utilize the ground heat and the weather conditions for maintaining the temperature in a thermally insulated greenhouse system. The greenhouse system is equipped with actuated windows, fans, sunlight collector and environmental sensors. Results showed the heat exchanger can be used for pre-cooling in summer and heating in winter in hot and imbalanced climate zones like UAE. The proposed controller was able to maintain the greenhouse temperature within the acceptable range on most days of the year with significantly less operational cost compared to the ON/OFF controller.

Original languageEnglish
Title of host publication2018 IEEE Electrical Power and Energy Conference, EPEC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538654194
DOIs
Publication statusPublished - Dec 31 2018
Event2018 IEEE Electrical Power and Energy Conference, EPEC 2018 - Toronto, Canada
Duration: Oct 10 2018Oct 11 2018

Publication series

Name2018 IEEE Electrical Power and Energy Conference, EPEC 2018

Conference

Conference2018 IEEE Electrical Power and Energy Conference, EPEC 2018
Country/TerritoryCanada
CityToronto
Period10/10/1810/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Control
  • Fuzzy
  • Ground Heat Exchanger
  • Renewable Energy
  • Temperature

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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