Xiaofeng Dong
Building energy efficiency, data analysis, energy consumptionrenovation, carbon emissions, optimisation of enclosure structure
With the increasing severity of global climate change and energy crisis, improving building energy efficiency has become a key measure to reduce energy consumption and carbon emissions. This study proposes a data-driven energy-saving renovation plan for buildings based on energy consumption data analysis, and conducts empirical research in multiple building types. Research has found that external wall insulation, air conditioning system optimisation, and intelligent lighting control are the three most energy-efficient measures. Taking a commercial building as an example, after renovation, the annual energy consumption decreased from 200,000 kWh to 150,000 kWh, with an energy-saving rate of 25%; The energy consumption of heating and air conditioning has been reduced by 25% and 30%, respectively. The introduction of intelligent lighting systems further reduces energy consumption by 9.7%, with a total energy-saving effect of 28%. In addition, the annual average reduction of carbon emissions is 15.5 tons, reflecting significant environmental benefits. The analysis of investment return cycle shows that the investment in small-scale building renovation is 50,000 yuan, with an annual energy saving of 10,000 kWh and a payback period of 5 years; The recycling cycles for medium and large buildings are 4.8 years and 4.2 years, respectively, which have good economic viability and promotion prospects. In summary, through energy-saving transformation based on energy consumption data, key energy-saving points can be accurately identified, building energy efficiency can be improved, and an effective path can be provided to achieve carbon neutrality goals.
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