Suboptimal algorithm-based large central air conditioner chilled water pipe network optimal design method

Abstract

The invention discloses a suboptimal algorithm-based large central air conditioner chilled water pipe network optimal design method. A thermodynamic model of a large central air conditioner chilled water pipe network is constructed, an existing traditional pipe network design method such as a recommended flow velocity method and a worst loop economic specific friction method and a traditional optimization design method such as a simulated annealing algorithm, a genetic algorithm, a neural network algorithm and the like are integrated on the central air conditioner pipe network to provide a stochastic walking suboptimal calculation method for abandoning an optimal solution so as to obtain a suboptimal solution of a pipe diameter design scheme adapting to various load distribution changes, optimization calculation is carried out with initial investment and annual operation cost of the pipe network as target functions at the same time, forward optimization calculation and reverse verification calculation are carried out, and the influence of different load distribution forms and load rate distribution on the pipe network pipe diameter optimization calculation result and adaptability is finally analyzed. Therefore, the purpose of saving energy consumption is achieved, and sustainable development of modernization is facilitated.

Description

technical field [0001] The invention relates to the field of optimal design of large-scale central air-conditioning chilled water pipe networks, in particular to an optimal design method for large-scale central air-conditioning chilled water pipe networks based on suboptimal algorithms. Background technique [0002] In the 21st century, Chinese cities have developed in the direction of internationalization, ecology, modernization, and intelligence. The rapid expansion of urban scale has intensified the density of urban buildings. As an indispensable part of urban public buildings, central air-conditioning systems have always had high energy consumption. attention. The unreasonable early design and unscientific operation management of the air conditioning system are the main causes of ineffective energy consumption. It is also an indisputable fact that the actual energy-saving operation of large-scale central air-conditioning systems generally has problems such as poor stabi...

AI Technical Summary

Problems solved by technology

The work of early researchers shows that the traditional optimization algorithm has a certain optimization effect on the optimization design of pipe network diameter and topology, but there are also disadvantages such as easy to fall into local optimum, large difference in optimization results, and long calculation time for single optimization.

Images