SQLite-based building energy consumption uncertainty database establishment method and application method

Abstract

The invention relates to an SQLite-based building energy consumption uncertainty database establishment method. The SQLite-based building energy consumption uncertainty database establishment method comprises the following steps: determining uncertainty parameters of building energy consumption; classifying uncertainty parameters of building energy consumption; designing a sub-table of the database and establishing an inter-table foreign key relationship: establishing a three-level parameter table as a core sub-table, respectively forming a foreign key relationship between the first-level parameter table and the three-level parameter table and between the second-level parameter table and the three-level parameter table and taking the foreign key relationship as a parent table to form a constraint relationship; designing fields in a three-level parameter table, and inputting detailed information of uncertainty parameters; building a basic structure of a building energy consumption uncertainty database based on SQLite; and completing the establishment of the SQLite-based building energy consumption uncertainty database. According to the SQLite-based building energy consumption uncertainty database establishment method and application method, uncertainty parameter information is provided for energy consumption simulation related personnel, and reference and theoretical guidance are provided for initial design and later energy-saving reconstruction of a building.

Description

technical field [0001] The invention belongs to the technical field of building energy consumption simulation, in particular to an establishment method and an application method of an SQLite-based building energy consumption uncertainty database. Background technique [0002] At present, in the field of building energy consumption simulation, more and more researchers have found that there is a large energy consumption gap between the predicted energy consumption obtained by applying deterministic analysis methods to study building energy consumption and the measured energy consumption after the building is completed. It directly affects the design and energy consumption prediction of an engineer or architect. The introduction of uncertainty quantification methods and the development of simulation tools have promoted the focus of building energy consumption analysis from deterministic analysis to uncertainty analysis. [0003] After decades of development, the uncertainty q...

AI Technical Summary

Problems solved by technology

[0003] After decades of development, the uncertainty quantification of input parameters of building energy consumption has involved many aspects of the building, and achieved certain quantitative results, but there are still the following deficiencies: (1) the lack of these existing uncertainties Induction and application of deterministic quantitative results; (2) due to the different environmental conditions of buildings in different studies, the quantitative results are not applicable to other buildings; (3) lack of reliable technical support, modelers have limited understanding of or unknown input parameters are often directly ignored or assumed to be a value, which may cause the building energy simulation results to deviate far from the real results

Images