Review of indoor emission source models. Part 2. Parameter estimation

Area of Science:

• Environmental Science
• Chemical Engineering
• Indoor Air Quality

Background:

• Indoor emission source models are crucial for understanding and mitigating air pollution.
• A significant challenge in applying these models is the difficulty in estimating model parameters, especially without experimental data.
• Existing literature lacks a systematic discussion on parameter estimation methods.

Purpose of the Study:

• To systematically review and compile methods for parameter estimation in indoor emission source models.
• To identify the imbalance between the development of models and the methods for their parameter estimation.
• To provide a foundation for improving the practical applicability of indoor air quality models.

Main Methods:

• A comprehensive literature review was conducted.
• Fifty-two indoor emission source models were initially identified (Part 1 of the review).
• Forty-eight distinct parameter estimation methods were compiled and analyzed for statistical and mass transfer models (Part 2).

Main Results:

• Parameter estimation is a critical but underdeveloped aspect of indoor emission source modeling.
• There is a notable lag in the development of parameter estimation techniques compared to the advancement of the models themselves.
• Many published models remain theoretical due to challenges in parameter estimation.

Conclusions:

• The lack of robust parameter estimation methods hinders the practical application of indoor emission source models.
• Bridging the gap between model development and parameter estimation is essential for advancing indoor air quality research.
• Further research into developing and validating parameter estimation techniques is urgently needed.