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ORIGINAL RESEARCH article
Front. Environ. Eng.
Sec. Air Pollution Management
Volume 3 - 2024 |
doi: 10.3389/fenve.2024.1374622
Enhancing Green ports in Dar es Salaam Port: Facility Optimization for Emission Reduction through Mamdani and Sugeno Fuzzy Inference Systems
Provisionally accepted
MAJID M. KUNAMBI
*
Hongxing Zheng
*- Dalian Maritime University, Dalian, China
This study rigorously assesses emissions from diverse equipment at Dar es Salaam Port, analyzing CO, NOx, SO2, PM10, and POC emissions across various areas. Detailed data collection includes machine specifications, and calculated emission factors that facilitate precise analysis. The research design includes both evaluation of emissions and a strategic phase for optimizing equipment towards reduction. This study employs Mamdani and Sugeno Fuzzy Inference Systems (FIS) to comprehensively analyze emissions from diverse equipment within Dar es Salaam Port. The FIS enhances precision in emission reduction target-setting by considering the intricate parameters, unique to each equipment type. In 2022, the cumulative emissions of CO, NOx, SO2, PM10, and POC amounted to 185,163, 92,908.4, 40,842.4, 8,067.53, and 9,178.614 pounds, respectively, forming a basis for evaluating sustainability initiatives. Strategic interventions are delineated for each equipment type, from advanced technologies for Rubber-Tired Gantry Cranes (RTG) and systematic replacements for Forklifts. Overarching initiatives include regulatory frameworks, alternative fuels, and technology transitions. The FIS models specify emission reduction targets, such as Mamdani proposing a reduction of 12,504.51 pounds of CO from Berthing Tugs, and Sugeno suggesting 3,751.353 pounds. These nuanced recommendations integrate into a strategic roadmap, guiding Dar es Salaam Port towards a sustainable future.
Keywords: Mamdani FIS, Sugeno FIS, Emissions reduction, sustainable port, Renewable energy adoption, Dar Es Salaam Port
Received: 22 Jan 2024; Accepted: 15 Aug 2024.
Copyright: © 2024 KUNAMBI and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
MAJID M. KUNAMBI, Dalian Maritime University, Dalian, China
Hongxing Zheng, Dalian Maritime University, Dalian, China
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