Evaluation of GHG Emission Measures Based on Shipping and Shipbuilding Market Forecasting

被引:17
作者
Wada, Yujiro [1 ]
Yamamura, Tatsumi [1 ]
Hamada, Kunihiro [1 ]
Wanaka, Shinnosuke [2 ]
机构
[1] Hiroshima Univ, Grad Sch Adv Sci & Engn, Hiroshima 7398527, Japan
[2] Natl Maritime Res Inst, Knowledge & Data Syst Dept, 6-38-1 Shinkawa, Mitaka, Tokyo 1810004, Japan
关键词
GHG emission measures; international shipping; system dynamics; scenario planning; deceleration operation; energy efficiency design index; LNG fuel; zero-emission ships; MODEL;
D O I
10.3390/su13052760
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Greenhouse gas (GHG) emissions from the global shipping sector have been increasing due to global economic growth. The International Maritime Organization (IMO) has set a goal of halving GHG emissions from the global shipping sector by 2050 as compared with 2008 levels, and has responded by introducing several international regulations to reduce the GHG emissions of maritime transportation. The impact of GHG emissions' regulation and measures to curb them have been evaluated in the IMO's GHG studies. However, the long-term influence of these GHG emission measures has not yet been assessed. Additionally, the impact of various GHG reduction measures on the shipping and shipbuilding markets has not been considered; accordingly, there is room for improvement in the estimation of GHG emissions. Therefore, in this study, a model to consider GHG emission scenarios for the maritime transportation sector was developed using system dynamics and was integrated into a shipping and shipbuilding market model. The developed model was validated based on actual results and estimation results taken from a previous study. Subsequently, simulations were conducted, allowing us to evaluate the impact and effectiveness of GHG emission-curbing measures using the proposed model. Concretely, we conducted an evaluation of the effects of current and future measures, especially ship speed reduction, transition to liquid natural gas (LNG) fuel, promotion of energy efficiency design index (EEDI) regulation, and introduction of zero-emission ships, for GHG emission reduction. Additionally, we conducted an evaluation of the combination of current and future measures. The results showed that it is difficult to achieve the IMO goals for 2050 by combining only current measures and that the introduction of zero-emission ships is necessary to achieve the goals. Moreover, the limits of ship speed reduction were discussed quantitatively in relation to the maritime market aspect, and it was found that the feasible limit of ship speed reduction from a maritime market perspective was approximately 50%.
引用
收藏
页码:1 / 23
页数:22
相关论文
共 50 条
[21]   Weather-Classification-MARS-Based Photovoltaic Power Forecasting for Energy Imbalance Market [J].
Zhang, Xiaoning ;
Fang, Fang ;
Liu, Jizhen .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (11) :8692-8702
[22]   Market-based measures for greenhouse gas emissions from ships: a review [J].
Psaraftis, Harilaos N. .
WMU JOURNAL OF MARITIME AFFAIRS, 2012, 11 (02) :211-232
[23]   Market-based measures for greenhouse gas emissions from ships: a review [J].
Harilaos N. Psaraftis .
WMU Journal of Maritime Affairs, 2012, 11 (2) :211-232
[24]   COMPARISON OF FOREX MARKET FORECASTING TOOLS BASED ON EVOLINO ENSEMBLE AND TECHNICAL ANALYSIS INDICATORS [J].
MAKNICKIEN, Nijole ;
STANKEVICIENE, Jelena ;
MAKNICKAS, Algirdas .
ROMANIAN JOURNAL OF ECONOMIC FORECASTING, 2020, 23 (03) :134-148
[25]   The efficient market operation for wind energy trading based on the dynamic improved power forecasting [J].
Yang, Shengjie ;
Xu, Xuesong ;
Xiang, Jinwen ;
Chen, Rongyuan ;
Jiang, Weijin .
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2018, 10 (04)
[26]   Forecasting China's energy consumption and carbon emission based on multiple decomposition strategy [J].
Zhou, Cheng ;
Chen, Xiyang .
ENERGY STRATEGY REVIEWS, 2023, 49
[27]   Forecasting explosions at Sinabung Volcano, Indonesia, based on SO2 emission rates [J].
Kunrat, Syegi ;
Kern, Christoph ;
Alfianti, Hilma ;
Lerner, Allan H. .
FRONTIERS IN EARTH SCIENCE, 2022, 10
[28]   Mathematical Optimization Algorithm for Minimizing the Cost Function of GHG Emission in AS/RS Using Positive Selection Based Clonal Selection Principle [J].
Mahalakshmi ;
Murugesan, R. .
PROCEEDINGS OF THE 10TH NATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND ITS APPLICATIONS (NCMTA 18), 2018, 1000
[29]   A Novel Fuzzy Time Series Forecasting Method Based on Fuzzy Logical Relationships and Similarity Measures [J].
Cheng, Shou-Hsiung ;
Chen, Shyi-Ming ;
Jian, Wen-Shan .
2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, :2250-2254
[30]   Rationality and anchoring of inflation expectations: An assessment from survey-based and market-based measures [J].
de Mendonca, Helder Ferreira ;
Garcia, Pedro Mendes ;
Vicente, Jose Valentim Machado .
JOURNAL OF FORECASTING, 2021, 40 (06) :1027-1053