
Three potential benefits of the EU and IMO’s landmark efforts to monitor carbon dioxide emissions from shipping
Shuaian WANG, Lu ZHEN, Harilaos N. PSARAFTIS
Front. Eng ›› 2021, Vol. 8 ›› Issue (2) : 310-311.
Three potential benefits of the EU and IMO’s landmark efforts to monitor carbon dioxide emissions from shipping
[1] |
Adland R, Alger H, Banyte J, Jia H (2017). Does fuel efficiency pay? Empirical evidence from the drybulk timecharter market revisited. Transportation Research Part A: Policy and Practice, 95: 1–12
CrossRef
Google scholar
|
[2] |
Agnolucci P, Smith T, Rehmatulla N (2014). Energy efficiency and time charter rates: Energy efficiency savings recovered by ship owners in the Panamax market. Transportation Research Part A: Policy and Practice, 66: 173–184
CrossRef
Google scholar
|
[3] |
Du Y, Meng Q, Wang S, Kuang H (2019). Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data. Transportation Research Part B: Methodological, 122: 88–114
CrossRef
Google scholar
|
[4] |
ECMWF (2019). ERA interim, daily. Available at: apps.ecmwf.int/datasets/data/interim-full-daily/levtype = sfc/
|
[5] |
EU (2015). Regulations on the monitoring, reporting and verification of carbon dioxide emissions from maritime transport. EU2015/757
|
[6] |
IMO (2016). Resolution MEPC.278(70): Amendments to MARPOL Annex VI on data collection system for fuel oil consumption of ships. London: IMO
|
[7] |
IMO (2018). Resolution MEPC.304(72): Initial IMO strategy on reduction of GHG emissions from ships. London: IMO
|
[8] |
Meng Q, Du Y, Wang Y (2016). Shipping log data based container ship fuel efficiency modeling. Transportation Research Part B: Methodological, 83: 207–229
CrossRef
Google scholar
|
[9] |
Smith T W P, Jalkanen J P, Anderson B A, Corbett J J, Faber J, Hanayama S, O’Keeffe E, Parker S, Johansson L, Aldous L, Raucci C, Traut M, Ettinger S, Nelissen D, Lee D S, Ng S, Agrawal A, Winebrake J J, Hoen M, Chesworth S, Pandey A (2014). Third IMO GHG Study 2014. London: International Maritime Organization
|
[10] |
Yang D, Wu L, Wang S, Jia H, Li K X (2019). How big data enriches maritime research—A critical review of Automatic Identification System (AIS) data applications. Transport Reviews, 39(6): 755–773
CrossRef
Google scholar
|
/
〈 |
|
〉 |