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IJAT Vol.14 No.6 pp. 984-998
doi: 10.20965/ijat.2020.p0984
(2020)

Paper:

Environmental and Economic Evaluation of a Mechanical Biological Treatment System for a Small and Medium-Sized Waste Treatment Facility Considering the Karatsu Smart Disaster-Resilience Base Construction Project

Akihisa Ogawa, Andante Hadi Pandyaswargo, Daiki Yoshidome, and Hiroshi Onoda

Graduate School of Environment and Energy Engineering, Waseda University
513 Wasedatsurumakicho, Shinjuku-ku, Tokyo 162-0041, Japan

Corresponding author

Received:
April 2, 2020
Accepted:
June 15, 2020
Published:
November 5, 2020
Keywords:
waste management, sewage treatment, disaster resilience, methane-fermentation, mechanical biological treatment
Abstract

We evaluated the feasibility of waste-generated heat using a 100-kW digestion gas engine at the Karatsu City Water Purification Center by evaluating its disaster resilience through four indicators. We achieved the best outcome, i.e., a power generation rate of 1,122 kW and a power self-sufficiency rate of 22% when two or more digestion gas engines were installed to supply waste-generated heat to the absorption chiller/heater of a water-pool. Additionally, we evaluated the environmental and economic aspects of a Mechanical Biological Treatment (MBT) system installed in Karatsu City. The results suggested that by installing an MBT system, the annual cost could be reduced by ∼100 million Yen and the power generation capacity could be increased to 4,310 kW; this could also help reduce 19,000 tons of annual CO2 emissions with increased power generation. The environmental and economic feasibility assessment tool developed here is configurable; hence, applicable to other regions.

Cite this article as:
A. Ogawa, A. Pandyaswargo, D. Yoshidome, and H. Onoda, “Environmental and Economic Evaluation of a Mechanical Biological Treatment System for a Small and Medium-Sized Waste Treatment Facility Considering the Karatsu Smart Disaster-Resilience Base Construction Project,” Int. J. Automation Technol., Vol.14 No.6, pp. 984-998, 2020.
Data files:
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