Agricultural and Biosystems Engineering Publications

Document Type

Article

Publication Date

2010

Journal or Book Title

Transactions of the ASABE

Volume

53

Issue

3

First Page

871

Last Page

881

Research Focus Area(s)

Animal Production Systems Engineering

Abstract

The objective of this research was to develop a building thermal analysis and air quality predictive (BTA-AQP) model to predict indoor climate and long-term air quality (NH3, H2S, and CO2 concentrations and emissions) for swine deep-pit buildings. This article presents part II of this research, in which the performance of the BTA-AQP model is evaluated using typical meteorological year (TMY3) data in predicting long-term air quality trends. The good model performance ratings (MAE/SD < 0.5, CRM ˜ 0; IoA ˜ 1; and NSEF > 0.5 for all the predicted parameters) and the graphical presentations reveal that the BTA-AQP model was able to accurately forecast indoor climate and gas concentrations and emissions for swine deep-pit buildings. By comparing the air quality results simulated by the BTA-AQP model using the TMY3 data set with those from a five-year local weather data set, it was found that the TMY3-based predictions followed the long-term mean patterns well, which indicates that the TMY3 data could be used to represent the long-term expectations of source air quality. Future work is needed to improve the accuracy of the BTA-AQP model in terms of four main sources of error: (1) uncertainties in air quality data, (2) prediction errors of the BTA model, (3) prediction errors of the AQP model, and (4) bias errors of the TMY3 and its limited application.

Comments

This article is from Transactions of the ASABE 53, no. 3 (2010): 871–881.

Copyright Owner

American Society of Agricultural and Biological Engineers

Language

en

Date Available

April 30, 2013

File Format

application/pdf

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