Evaluation of energy saving potential of HVAC system by operation data with uncertainties

Abstract Measurement uncertainties exist widely in the operation of HVAC system. If they are not taken into account, the evaluation results may be inaccurate. Therefore, the paper proposes a novel evaluation method based on exergy analysis, which considers measurement uncertainties of operation data. The evaluation method quantifies the uncertainties of the real exergy efficiency and the real ideal exergy efficiency of HVAC system by Latin hypercube sampling (LHS) and particle swarm optimization (PSO) algorithm, and set up an evaluation benchmark and an evaluation index Iprop to evaluate the energy saving potential of HVAC system. The evaluation benchmark is the probability distributions of real ideal exergy efficiency, and the evaluation index Iprop is defined as the ratio of the expectation of the real exergy efficiency to the expectation of the real ideal exergy efficiency. An airport HVAC system which is located in the south of China is used for validation. The proposed evaluation method is compared with a conventional evaluation method on the simulation model under two levels of uncertainties. Results show that the proposed evaluation method is more accurate and credible than the conventional evaluation method under uncertainties.

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