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The study presents a novel enhanced exergy method for analyzing HVAC systems in a mushroom growing hall, focusing on energy optimization to address the energy crisis. Utilizing adaptive neuro fuzzy inference system (ANFIS) and multi-layered perceptron (MLP) methods, the research finds that ANFIS outperforms MLP in terms of energy efficiency and cost-effectiveness. The results highlight the importance of exergy analysis in identifying energy losses and improving HVAC system performance.
- Author
- terrified84
- Language
- EN