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Multi-objective stochastic optimization of a greenhouse energy system using an integrated demand-supply model

Ghadertootoonchi, A ; Sharif University of Technology | 2024

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  1. Type of Document: Article
  2. DOI: 10.1109/ICTEM60690.2024.10631906
  3. Publisher: 2024
  4. Abstract:
  5. With the growth in the population, the demand for food and agricultural products is increasing. Greenhouses are a promising option to meet such a growing demand as they can provide a controlled environment for the plant to grow. As a result, their performance highly depends on energy consumption. One of the main factors that affect the energy demand of a greenhouse is the weather. This study aims to investigate the effects of weather uncertainty on the planning and scheduling of a greenhouse energy system. To achieve this purpose, a two-objective (cost and temperature stability) stochastic linear model is developed and solved using historical data for the past 20 years of Tehran. The findings reveal that the deterministic approach underestimates the capital and operational costs of the system by more than 700$ during the lifetime of the greenhouse (20 years), and the underestimation rises with a growth in the importance of temperature stability. © 2024 IEEE
  6. Keywords:
  7. Greenhouse energy demand ; Greenhouse energy system ; Energy demands ; Energy model ; Energy systems ; Greenhouse energy ; Integrated energy model ; Multi-objectives optimization ; Stochastic optimizations
  8. Source: 2024 9th International Conference on Technology and Energy Management, ICTEM 2024 ; 2024 ; 979-835032979-7 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/10631906?signout=success