Building energy-saving expert design system and method based on sensitivity analysis

Abstract

The invention discloses a building energy-saving expert design system and method based on sensitivity analysis, and the system comprises a building scheme input module which collects building design parameters inputted by a user, to-be-optimized parameters, and an optimization interval; a building energy consumption calculation module which can calculate a building energy consumption value and a human body comfort value through building design parameters; a data sampling module which is used for stratified sampling in an optimization interval of a to-be-optimized parameter to form a random data set; a sensitivity analysis module for performing sensitivity analysis on to-be-optimized parameters and building energy consumption values according to a random data set; an energy-saving suggestion module for providing energy-saving optimization suggestions according to a sensitivity analysis result; a parameter modification module used for collecting modification of a user on a to-be-optimized parameter; a judgment module used for judging whether current modification of a user is reasonable or not according to a building energy consumption value and a human body comfort value; and a result display module used for comparing building schemes before and after modification.

Description

technical field [0001] The invention relates to the technical field of architectural design, in particular to an expert design system and method for building energy-saving optimization based on sensitivity analysis. Background technique [0002] As my country's efforts to build green buildings continue to increase, building performance has increasingly become the focus of architects' attention. Building energy-saving design at the planning stage and reasonably determining parameters such as building shapes have obvious energy-saving effects. [0003] However, due to the limitations of theory and tools, building energy-saving design has not been popularized in the work of architects. [0004] First, the current mainstream building energy-saving optimization method is an iterative method of optimization algorithm and building performance simulation. Real-time interaction. [0005] Second, the current building energy-saving design needs to use a variety of software to impleme...

AI Technical Summary

Problems solved by technology

[0003] However, due to the limitations of theory and tools, building energy-saving design has not been popularized in the work of architects

[0004] First, the current mainstream building energy-saving optimization method is an iterative method of optimization algorithm and building performance simulation. real-time interaction

[0005] Second, the current building energy-saving design needs to use a variety of software to implement step by step, such as sampling and design parameter sensitivity analysis requires the use of statistical software, building performance analysis requires the use of building simulation software, and building optimization requires the use of programming language-based software. Various optimization algorithms require the use of Excel tables to collect statistical data. The data connection between the various steps is poor, and the file formats used are also incompatible. Completing the entire design process requires a lot of labor costs

[0006] Third, in the process of building energy-saving design, in addition to changing building design parameters to reduce building energy consumption, architects also pay more attention to the reasons for changing building design parameters themselves. At present, most optimization algorithms are poorly interpretable, and architects There is relatively little understanding of optimization algorithms. In many cases, architects cannot recognize this kind of global parameter optimization dominated by optimization algorithms. At present, there is a lack of architect-led, allowing architects to perform gradual optimization, and providing visualization and explanatory optimization results. Powerful architectural design aids

[0007] It can be seen that the current building energy-saving optimization design methods lack systematization and integration, and the optimization process lacks interpretation, resulting in low energy-saving optimization design efficiency in the scheme stage, complicated process operations, and optimization effects that cannot meet the requirements of users.

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