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Heat loss evaluation for heating building envelope based on relevance vector machine.

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  • 1School of Civil Engineering and Architecture, Henan University, Kaifeng, China.

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Accurate building heat loss evaluation is crucial for energy consumption assessment. This study introduces a novel "temperature baseline" method using relevance vector machine (RVM) regression for precise heat loss assessment.

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Area of Science:

  • Building Science
  • Energy Efficiency
  • Thermal Performance

Background:

  • Current building envelope heat loss evaluation methods lack accuracy due to multiple influencing factors, leading to deviations in energy consumption assessments.
  • Establishing reliable benchmarks for heat loss is essential for verifying energy-saving standards and improving building performance.

Purpose of the Study:

  • To develop a novel, objective method for evaluating building envelope heat loss.
  • To establish a dynamic
  • temperature baseline
  • that aligns with various energy-saving standards.
  • To validate the proposed method's effectiveness in real-world applications.

Main Methods:

  • Comparative analysis of regression models including relevance vector machine (RVM), response surface methodology (RSM), and support vector machine (SVM).
  • Development of a dynamic
  • temperature baseline
  • prediction model by integrating numerical simulation with RVM regression.
  • Utilizing infrared imaging for empirical heat loss measurement and validation.

Main Results:

  • The RVM regression model demonstrated superior performance compared to RSM and SVM for heat loss prediction.
  • Dynamic
  • temperature baselines
  • were determined for different energy-saving levels (75% and 50%) in a residential building.
  • Empirical data showed significant heat loss, with 87% of points exceeding the baseline by over 2°C, and a specific wall section losing 471W.

Conclusions:

  • The proposed heat loss evaluation method, based on RVM and a dynamic
  • temperature baseline
  • , provides an objective and accurate assessment of building envelope thermal performance.
  • This approach effectively addresses the limitations of existing methods and supports the verification of energy-saving targets.