ORIGINAL RESEARCH
Integrated Analysis for Evaluating Efficiency and Cost-Benefit of Indoor CO2 Improvement: an Innovative Approach
 
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1
College of General Education, Chihlee University of Technology, Taiwan, No. 313, Sec. 1, Wenhua Rd., Banqiao Dist., New Taipei City 22050, Taiwan
 
2
University of Technology, 1, Sec. 3, Chung-Hsiao E. Rd. Taipei City 106, Taiwan
 
 
Submission date: 2024-03-11
 
 
Final revision date: 2024-07-08
 
 
Acceptance date: 2024-08-23
 
 
Online publication date: 2024-10-21
 
 
Corresponding author
Chao-Heng Tseng   

Institute of Environmental Engineering and Management, National Taipei University of Technology, 2F-1, No.143, Sec. 1, Keelung Rd., Xinyi Dist., 110, Taipei City, Taiwan
 
 
 
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ABSTRACT
This study contributes by emphasizing the effectiveness of indoor air quality improvement technologies. Initially, it quantifies the outdoor air demand and proposes various combinations of ventilation equipment and improvement strategies. Through flow field simulations, it anticipates optimal ventilation configurations to ensure better mixing and dilution of introduced fresh air indoors. Furthermore, it evaluates the costs associated with effective improvement technologies by assessing different improvement schemes comprehensively, considering installation costs as well as long-term expenditures, including operational and maintenance costs. The study reveals that Scheme 3 (Two ERV units) has the highest installation cost but achieves the greatest improvement effectiveness. However, when evaluating across other cost dimensions such as operational costs, maintenance costs, and improvement benefits, Scheme 2 (One ERV with one exhaust fan) emerges as the optimal choice. Scheme 2 demonstrates the best unit cost improvement benefit at 0.77 ppm/US$, whereas Scheme 3 exhibits the lowest at 0.59 ppm/US$. These findings underscore the importance of considering not only initial setup costs but also ongoing expenses when assessing the benefits of indoor air quality improvement technologies, as these factors can significantly influence decision-making regarding improvement measures.
eISSN:2083-5906
ISSN:1230-1485
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