The Study On Correlation Between Energy Efficiency Deviation Analysis And Life Cycle Eco-cost Estimation Of Split Air Conditioner

With the rapid development of the economy around the world,the continuous improvement of the income level of residents has led to an increase in the quality of life.Split air conditioners can effectively improve the indoor environment and improve the comfort of living.Therefore,the installation capacity and useage frequency of split air conditioners are constantly increasing.However,split air conditioners emit a large amount of harmful gases in the production process,which will aggravate the pollution of the natural environment.In addition,the energy consumption of split air conditioner in its whole life cycle is huge,which also aggravates the social energy crisis.Therefore,analyzing the energy efficiency deviation of split air conditioners and studying the eco-cost of split air conditioners can help save the energy resources of the whole society and provide certain theoretical guidance and practical significance for China's energy conservation and emission reduction plan.However,the energy consumption of split air conditioners varies a lot in different life stages,and is affected by load levels and environmental conditions.Therefore,energy efficiency deviation analysis and ecocost assessment of split air conditioners are difficult.To this end,this paper aims to study the impact of split air conditioner on energy utilization efficiency,smart building energy management system and environment from three aspects: energy efficiency deviation analysis of split air conditioner,cooling load forecast and eco-cost assessment.Split air conditioner plays a key role in smart buildings,and its energy efficiency deviation analysis is vital for energy management and real-time operation of smart buildings.The existing research usually uses linear regression methods to achieve energy efficiency deviation analysis of split air conditioners.However,linear regression only studies the relationship between the independent variable and the conditional expectation of the dependent variable,and it is impossible to evaluate the energy efficiency deviation of the split air conditioner from an omnidirectional perspective.Therefore,this paper proposes a new method based on robust quantile regression to achieve energy efficiency deviation analysis of split air conditioners.This method is able to quantify the impact of independent variables on the median value and multiple quantiles of the dependent variable.Furthermore,the proposed method does not require statistical errors to follow any Gaussian distribution.The simulation results show that the proposed method has good stability and robustness in the analysis of energy efficiency deviation of split air conditioners,and thus has high application potential in future smart buildings.Since the usage frequency of split air conditioners is related to the chaotic weather,unordered climate and regional economy,the real load time-sereis data of split air conditioners usually exhibits nonlinear and dynamic characteristics,which is very difficult to be predicted accurately.The accurate load forecast of split air conditioner is conducive to the energy management system in smart buildings to achieve energy planning and reduce the electricity cost.Therefore,it is necessary to study accurate load forecasting technique of split air conditioner.Consequently,this paper proposes a new load forecasting framework of split air conditioner.This framework includes empirical mode decomposition,deep learning algorithm,and ensemble technique.Empirical mode decomposition is used to decompose raw cooling load data into multiple sub-signals with different frequencies.The deep learning algorithm is used to extract hidden nonlinear features in each sub-signal.Ensemble technique is used to quantify the effects of model uncertainty and data noise on prediction accuracy.This paper uses the cooling load data of actual buildings in Shenzhen and Hong Kong to verify the feasibility and effectiveness of the proposed forecasting framework.The numerical results show that compared with traditional backward propagation algorithm and support vector machine,the proposed forecasting framework has higher prediction accuracy.The predicted results can reduce the energy consumption of the split air conditioner during the usage stage,thus helping to reduce the eco-cost of the split air conditioner.In recent years,the manufacture of split air conditioners needs to consider factors such as energy conservation and environmental protection to reduce pollution and alleviate energy crisis.However,the design of energy-saving and environmentally friendly products will undoubtedly increase the cost and burden of air-conditioning enterprises.Therefore,the ecocost analysis of split air conditioners is crucial for air-conditioning manufacturing companies.This paper proposes a novel eco-cost assessment method for split air conditioner based on activity-based costing method.First,this paper uses the K-nearest neighbor algorithm to fill up the missing data and incomplete data.Then,an eco-cost assessment method for split air conditioner based on activity-based costing method is proposed to evaluate the environmental cost and non-environmental cost of split air conditioners.Finally,the correlation analysis of energy efficiency deviation and eco-cost of split air conditioner is achieved.The proposed ecocost assessment method of split air conditioner has been validated on Gabi software platform.The results show that the method truly reflects the eco-cost of split air conditioners and helps China implement energy conservation and emission reduction policies,thereby further alleviating the energy crisis.In summary,this paper studies the impact of split air conditioner on environmental and smart building energy management systems from three aspects: energy efficiency deviation analysis,load forecasting and eco-cost assessment.The obtained results help to realize the quantitative calculation of the eco-cost of split air conditioners,and provide a theoretical reference for the revision of the energy efficiency standards for split air conditioners and the formulation of government energy-saving policies.