A multi-objective energy-saving optimization method and system for future climate buildings

Abstract

The invention provides a multi-objective energy-saving optimization method and system for future climate buildings. The method includes: generating future hourly climate data according to acquired historical meteorological data and predicted monthly scale data; determining optimization objectives and decision variables; Input into the building model; import the building model and future hourly climate data into the energy consumption simulation software to obtain building energy consumption and thermal discomfort time; calculate the full life cycle carbon emissions according to the building model; The comfort time and the carbon emissions in the whole life cycle are input into the neural network, and the output objective function is fitted; the objective function is input into the genetic algorithm to obtain a set of Pareto optimal solutions; the linear weighted sum method is used to set the weight coefficient according to the demand , to get the final optimization scheme. Based on this method, an optimization system is also proposed. The present invention considers the influence of future climate change on building performance, so that the calculation result of the optimization target is more realistic.

Description

technical field [0001] The invention belongs to the technical field of energy optimization of future climate buildings, and particularly relates to a multi-objective energy-saving optimization method and system for future climate buildings. Background technique [0002] With global warming, the improvement of people's living needs and the increase in the number of people, the energy consumption of buildings has been on the rise. According to the China Building Energy Research Report 2020, the energy consumption in the building operation stage in 2018 accounted for the total energy consumption of the country. 21.7% of the total life cycle carbon emissions of buildings, accounting 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 conservation and emission reduction, it will inevitably affect the indoor thermal comfort of buildings. How to optimize building energy consumpti...

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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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