Building instantaneous cold load prediction method based on Monte Carlo method applying Latin hypercube sampling

Abstract

The invention relates to a building instantaneous cold load prediction method based on a Monte Carlo method using Latin hypercube sampling. The method comprises: using a Monte Carlo simulation methodto calculate a building cold load, and using the Latin hypercube sampling method to perform random sampling of the Monte Carlo simulation method; the Monte Carlo simulation method being a numerical calculation method guided by a probability statistics theory, performing random sampling on all uncertain parameters forming the building cooling load, recombining samples of all the uncertain parameters, and obtaining probability distribution of the building instantaneous cooling load after multiple times of Monte Carlo simulation. In the statistical sampling process, the Latin hypercube is the popularization of a Latin square matrix in multiple dimensions, each hyperplane perpendicular to the axis contains at most one sample, and therefore the Monte Carlo simulation frequency is reduced whilethe randomness of the samples is guaranteed. According to the method, the building instantaneous cooling load can be effectively calculated and predicted, and a reference basis is provided for installation and model selection of the building air conditioning system and operation optimization of the air conditioning system.

Description

technical field [0001] The invention relates to the field of building cooling loads, in particular to a building instantaneous cooling load prediction based on the Monte Carlo method using Latin hypercube sampling, which can effectively and accurately predict building cooling load values. The invention belongs to a calculation method for building instantaneous cooling load. Background technique [0002] Building cooling load is also called "refrigeration load". In order to maintain the indoor temperature and humidity at a specified level, the air-conditioning equipment must discharge heat from the room in a unit time. It is sometimes equal to the heat gain, and sometimes it is not equal. Due to the large uncertainty of the parameters of the building itself, the cooling load of the building is not only affected by the parameters of the building itself, but also affected by the uncertainty of the environmental parameters. The calculation of building cooling load is a nonlinea...

AI Technical Summary

Problems solved by technology

The calculation of building cooling load is a nonlinear calculation system with many variables, complex characteristics, strong randomness, and multiple time scales. However, the traditional index method for calculating building cooling load is often partial or the calculation results are too large.

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