Makale detayı · 2022 · article
Evaluating the emission reduction efficiency of automatic mooring system and cold ironing: the case of a port in Izmit Bay
Veri kaynağı ayrımı
- YÖKSİSYÖKSİS makale kaydı
- YÖKSİS dergi adıAustralian Journal of Maritime and Ocean Affairs
- Katalog eşleşmesi (ISSN)Australian Journal of Maritime and Ocean Affairs
- OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
- Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)
Özet
Maritime transportation contributes to air pollution, which adversely affects life on Earth. Ship-borne emissions, especially in port areas, threaten public health. This study evaluated the emission reduction rates when Automatic Mooring System (AMS) and Cold Ironing (CI) methods were applied separately, and together at a port in Izmit Bay. We used Entec and EPA methodologies to estimate ship-borne emissions. As a result, when only the AMS was used as a reduction method instead of the current situation, in which no reduction method is used, the emission reduction rates of CO2, NOx, PM, and SO2 were 3.58%, 3.55%, 11.19% and 3.45%, whereas these rates were 21.21%, 88.85%, 47.17% and 2.33% respectively when only the CI was used. Additionally, when both systems were applied together, emission reduction rates increased to 24.79% for CO2, 92.40% for NOx, 58.37% for PM, and 5.78% for SO2.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
14atıfOpenAlex · cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 22 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- 2022 Quantifying ship-borne emissions in Istanbul Strait with bottom-up and machine-learning approachesAtıf 23 · OpenAlex
- 2022 Quantifying ship-borne emissions in Istanbul Strait with bottom-up and machine-learning approachesAtıf 23 · OpenAlex
- 2022 Quantifying ship-borne emissions in Istanbul Strait with bottom-up and machine-learning approachesAtıf 22 · OpenAlex
- 2024 A novel machine-learning based prediction model for ship manoeuvring emissions by using bridge simulatorAtıf 20 · OpenAlex
- 2024 A novel machine-learning based prediction model for ship manoeuvring emissions by using bridge simulatorAtıf 20 · OpenAlex
- 2024 Environmental and economic analysis of cold ironing using renewable hybrid systemsAtıf 12 · OpenAlex
- 2022 Energy Efficiency in Ports with a Green Port Perspective: A Conceptual FrameworkAtıf 10 · OpenAlex
- 2022 ENERGY EFFICIENCY IN PORTS WITH A GREEN PORT PERSPECTIVE: A CONCEPTUAL FRAMEWORKAtıf 10 · OpenAlex
- 2025 A Novel Study for Machine-Learning-Based Ship Energy Demand Forecasting in Container PortAtıf 9 · OpenAlex
- 2024 Environmental impact investigation of combined CCS and SCR on a ship by a case studyAtıf 7 · OpenAlex