Future climate building multi-target energy-saving optimization method and system

Abstract

The invention provides a future climate building multi-target energy-saving optimization method and system, and the method comprises the steps: generating future hourly climate data according to the obtained historical meteorological data and predicted monthly scale data; determining an optimization target and a decision variable; inputting the decision variable into the building model; importing the building model and future hourly climate data into energy consumption simulation software to obtain building energy consumption and thermal discomfort time; according to the building model, carbon emission in the whole life cycle is obtained through calculation; inputting the building energy consumption, the thermal discomfort time and the full-life-cycle carbon emission into a neural network, and fitting and outputting a target function; inputting the target function into a genetic algorithm to obtain a group of Pareto optimal solutions; and a linear weighted sum method is utilized to set weight coefficients according to requirements, and a final optimization scheme is obtained. Based on the method, the invention further provides an optimization system. According to the method, the influence of future climate change on the building performance is considered, so that the calculation result of the optimization target is more practical.

Description

technical field [0001] The invention belongs to the technical field of future climate building energy optimization, in particular to a multi-objective energy-saving optimization method and system for future climate buildings. Background technique [0002] With global warming, improvement of people's living needs and increase in population, building energy consumption has been on the rise. According to the China Building Energy Consumption Research Report 2020, in 2018, the energy consumption in the building operation phase accounted for the total energy consumption in the country. 21.7% of the total energy consumption, and the carbon emissions of the whole life cycle of buildings account for 51.2% of the national energy carbon emissions. It is particularly important to optimize the energy-saving design of buildings. In the pursuit of energy saving and emission reduction, it will inevitably affect the indoor thermal comfort of buildings. How to optimize building energy consum...

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Problems solved by technology

At the same time, due to global warming, the existing meteorological data can no longer meet the needs of building simulation. It is of great significance to explore the multi-objective optimization design of building energy saving under the future climate.

[0003]In the existing technology, the optimization design of buildings mainly considers the parameters of the envelope structure, and rarely considers the parameters related to human behavior. Most of the optimization goals are building energy consumption , does not take into account the mutual influence among multiple objectives of building energy consumption, thermal comfort and carbon emissions

At the same time, building simulation uses historical weather data, which cannot accurately reflect changes in building performance in future climates.

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