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A Study on Pressure Loss by the Material of AHU-linked Vegetation Bio-filter and its Operational Energy Efficiency

Bibliographic Data

ID22350730
AuthorsTae-Han Kim (0000-0002-6963-6483, Sangmyung University), So-Dam Lee (Sangmyung University), Sung-Eun Park (Sangmyung University)
Year2017
Volume20
Issue5
Pages485-494
Publication date2017-10-30
Open AccessYes
TypeARTICLE
VenueJournal of People, Plants, and Environment (JOURNAL)
Journal identifiersISSN: 2508-7673 • E-ISSN: 2508-7681
PublisherKorean Society for People, Plants, and Environment (PUBLISHER)
DOI10.11628/ksppe.2017.20.5.485
OpenAlexW2792152906
LanguageEN

Recently, the air quality issue came to the fore to the occupants of indoor areas with the detection of a large amount of indoor air pollutants such as formaldehyde that causes headache and atopic dermatitis. In order to address this issue, the use of indoor air purifying plants is considered positively as an ecological improvement option. However, the objective performance verification on indoor air-conditioning air volume has not been sufficient. This study aims to verify possible linkage with a building's air conditioning equipment in order to optimize indoor air-conditioning effects by vegetation bio-filters. To this end, 4 different types of air filter material and AHU (Air Handling Unit) system were linked under air conditions of total wind volume of 400, 600, 800, 1,000 CMH and pressure loss by material was monitored objectively. Finally, material-specific power consumption for system operation was calculated to review energy efficiency. As for pressure loss by material, in terms of total wind volume of 8001.8 CMH, Pre filter was lowest at -11.69 mmAq and LMF-based vegetation mat was highest at -219.94 mmAq. Based on this, as for material-specific power consumption, the Pre filter, which has the lowest pressure loss, was expected to have power consumption 94.7% lower than the LMF-based vegetation mat

Electrical engineering · Statistics · Engineering · Environmental Science · Food Supply Chain Traceability · Mathematics · Odor and Emission Control Technologies

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