scholarly journals Combined Configuration of Container Terminal Berth and Quay Crane considering Carbon Cost

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jianguo Duan ◽  
Yi Liu ◽  
Qinglei Zhang ◽  
Jiyun Qin
Keyword(s):  
Service Quality ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Container Terminal ◽  
Adaptive Genetic Algorithm ◽  
Carbon Cost ◽  
Quay Cranes ◽  
Reduce Carbon Dioxide ◽  
The Impact ◽  
Operation Cost

Berths and quay cranes are scarce resources in the container terminal system. If the equipment is reasonably planned, the service quality might be improved and the operation cost of the terminal would be reduced. In addition, the competition among ports is not only the competition of the terminal service quality, throughput, and scale but also the competition of low-energy consumption and low pollution. In order to reduce carbon dioxide emissions, this paper developed a multiobjective optimization model for the joint allocation of container terminal berths and Quay cranes. The model is developed based on preference of ships for berths, and the impact of carbon emission cost on terminal operations have been considered. The carbon cost from two aspects, namely, reducing the operation cost of ships and minimizing the average waiting time and departure delay of ships, has been considered. The improved adaptive genetic algorithm has been used to solve the model. A container terminal in Ningbo has been used as a case study. The carbon emission cost of the berths and quay cranes operation system has been calculated. The influence of the variation in carbon emission cost on the berths and quay cranes configuration scheme has been evaluated. The result proves that considering the carbon cost can make the berths and quay cranes operation more green and reasonable. It can be seen that the objective function value of the joint scheme is 5.92% lower than that of the traditional scheme, and the terminal operation cost of carbon emission constraints is 11.76% lower than that of no carbon emission constraints.

scholarly journals The global trend towards decarbonization of the economy, the introduction of the Carbon Border Adjustment Mechanism in the EU and the possible consequences for Russia

2021 ◽  
Vol 129 ◽  
pp. 09021
Author(s):  
Vladimir Sh. Urazgaliev ◽  
V. Novikov Andrey ◽  
A. Menshikova Galina
Keyword(s):  
Carbon Dioxide Emissions ◽  
Economic Relations ◽  
Carbon Neutrality ◽  
Adjustment Mechanism ◽  
Reduce Carbon Dioxide ◽  
Energy Products ◽  
Climate Neutrality ◽  
The Impact ◽  
The Eu ◽  
Border Adjustment

Research background: In the process of implementing the Paris Agreement (2015), Europe is a leader in the formation of new legislative initiatives in order to develop a set of effective measures to reduce greenhouse gas emissions in the atmosphere. The European Commission approved the European Green Deal (2015) - a strategy for achieving the EU parameters of climate neutrality through the transition to a clean circular economy. Its main goal is to reduce carbon dioxide emissions by 2030 by 50 - 55% from 1990 levels and achieve full carbon neutrality of the EU by 2050. As part of this strategy, the Carbon Border Adjustment Mechanism (CBAM) is being developed. The introduction of CBAM means a revolutionary transformation in the system of international economic relations. Purpose of the article is to identify and assess possible risks for producers and consumers, primarily of energy products after the introduction of CBAM, as well as the impact of these risks on Russian exports to Europe. Methods: The authors carried out a comparative analysis of scenarios for the implementation of CBAM in the sectorial and product segments of trade between Russia and the EU. Findings: The article contains comparative assessments of the beginning redistribution of international markets in the sectoral and product coverage of emissions, as well as an analysis of the unfolding contradictions in the verification of methods for determining the carbon footprint in the production chains of the real sector of the economy.

scholarly journals Research on Berth-Quay Crane Joint Scheduling Considering Carbon Emission

2021 ◽  
pp. 1-6
Author(s):  
Rui Yang ◽  
◽  
Junqing Sun
Keyword(s):  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Programming Model ◽  
Container Terminal ◽  
Optimal Scheduling ◽  
Mixed Integer ◽  
Scheduling Problem ◽  
Scheduling Scheme ◽  
Elite Strategy

With the increasing awareness of environmental protection, all walks of life a are paying more and more attention to the carbon dioxide emissions brought by their own industries. For the container terminal, a large proportion of carbon emissions come from the fuel consumption of vessels. In this paper, the consideration of carbon emissions is added to the original berth quay crane joint scheduling problem, and the constraints such as vessel preference for berths and quay crane interference are added. A dual-objective nonlinear mixed integer programming model is established to minimize carbon emissions and minimize costs. The model is solved by the Non-Dominated Sorting Genetic Algorithm with Elite Strategy, and the optimal scheduling scheme is obtained. Finally, the calculation examples are verified to prove the effectiveness and practicability of the model and algorithm.

scholarly journals Analysis and Evaluation of the Regional Characteristics of Carbon Emission Efficiency for China

2020 ◽  
Vol 12 (8) ◽  
pp. 3138 ◽  
Author(s):  
Jinkai Li ◽  
Jingjing Ma ◽  
Wei Wei
Keyword(s):  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Government Regulation ◽  
Industrial Structure ◽  
Western China ◽  
Energy Structure ◽  
Analysis And Evaluation ◽  
Emission Efficiency ◽  
Technological Efficiency ◽  
The Impact

To promote economic and social development with reduced carbon dioxide emissions, the key lies in determining how to improve carbon emission efficiency (CEE). We first measured the CEE of each province by using the input-oriented three-stage Data Envelopment Analysis (DEA) and DEA-Malmquist model for the panel data of 30 provinces in China during 2000–2017. Then we explored the CEE differences and characteristics of different regions obtained by using hierarchical clustering of each province’s CEE. Finally, based on the regression model, we conducted an empirical analysis of the impact of each factor of total factor productivity (TFP) on CEE. The main findings of this research are as follows: (1) The industrial structure, energy structure, government regulation, technological innovation, and openness had a significant impact on CEE; (2) The variation trends of CEE and TFP in the eight regions we studied were convergent, while the variations of CEE among regions were diverse and all distributed stably in different ranges; (3) The eight regions’ efficiency basically showed a downward trend of eastern, central and western China; (4) Technological regression was the main reason for the decline in TFP. Technological progress and technological efficiency can contribute to an improvement in CEE. Based on the findings above, we provide decision-making references for comprehensively improving the efficiency of various regions and accelerating China’s energy conservation, emissions reduction, and coordinated development.

Discussion about Calculation Principle of Carbon Emission in Low-Carbon Architectures

2011 ◽  
Vol 213 ◽  
pp. 302-305
Author(s):  
Xiao Fei Zhu ◽  
Da Wei Lv
Keyword(s):  
Carbon Dioxide ◽  
Energy Efficiency ◽  
Life Cycle ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Building Materials ◽  
Low Carbon ◽  
Equipment Manufacturing ◽  
Reduce Carbon Dioxide

There are more and more low-carbon architectures around us gradually. Low-carbon architectures is to decrease the use of renewable energy, improving energy efficiency, reduce carbon dioxide emissions during materials and equipment manufacturing, construction and the whole life of building use. According to calculating carbon emissions of the building materials in production, construction, using and removal, and the process of calculation, the total sum of carbon emissions in the life cycle was calculated.

scholarly journals Optimization model for improvement of district heating system by integration of cogeneration

2020 ◽  
pp. 207-207
Author(s):  
Branka Gvozdenac-Urosevic
Keyword(s):  
Carbon Dioxide Emissions ◽  
District Heating ◽  
Goal Function ◽  
Heating System ◽  
Energy System ◽  
Low Carbon ◽  
District Heating System ◽  
Increase Energy Efficiency ◽  
Reduce Carbon Dioxide ◽  
The Impact

Modelling of a complex district heating system by increasing the energy system?s efficiency and by reducing emissions through the implementation of new and low carbon technologies is presented. One of these technologies is cogeneration which is used to increase energy efficiency and to reduce carbon dioxide emissions. Presented model uses linear programming as a basis for mathematical modelling of the energy system. The mathematical calculation is set pragmatically, so it can be efficiently and reliably used to assess the impact of most important parameters on the efficiency of the regional energy system. The model analyses the effects of integration of cogeneration into the existing energy system using a given goal function. The basic criterion is set to be the reduction of environmental impact. The model is successfully tested on the complex district heating system with the power of about 600 MW.

scholarly journals The Changing Legislation and Regulation of Carbon Capture and Storage: Impacts on Purpose, Policy, and Projects

2011 ◽  
Vol 49 (2) ◽  
pp. 305
Author(s):  
Michael G Massicotte ◽  
Alan L Ross ◽  
Chidinma B Thompson
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Carbon Capture ◽  
Carbon Capture And Storage ◽  
The Government ◽  
Reduce Carbon Dioxide ◽  
The Impact ◽  
And Storage

The Government of Alberta is implementing carbon capture and storage (CCS) technology in order to reduce carbon dioxide emissions. With the enactment of the Carbon Capture and Storage Statutes Amendment Act, 2010 in November 2010, Alberta became the first jurisdiction in Canada to have comprehensive CCS legislation. This article describes CCS technology, considers the impact of the new legislation and potential interjurisdictional conflicts, and briefly compares the CCS legislation of other jurisdictions with Alberta’s legislation.

scholarly journals The Impact of Energy, Agriculture, Macroeconomic and Human-Induced Indicators on Environmental Pollution from 1971 to 2011

2016 ◽  
Author(s):  
Samuel Asumadu-Sarkodie ◽  
Phebe Asantewaa Owusu
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Environmental Pollution ◽  
Carbon Dioxide Emissions ◽  
Crop Production ◽  
Renewable Energy Sources ◽  
Electricity Production ◽  
Kuznets Curve ◽  
Reduce Carbon Dioxide ◽  
The Impact

In this study, the impact of energy, agriculture, macroeconomic and human-induced indicators on environmental pollution from 1971 to 2011 is investigated using the statistically inspired modification of partial least squares (SIMPLS) regression model. There was evidence of a linear relationship between energy, agriculture, macroeconomic and human-induced indicators and carbon dioxide emissions. Evidence from the SIMPLS regression shows that a 1% increase in crop production index will reduce carbon dioxide emissions by 0.71%. Economic growth increased by 1% will reduce carbon dioxide emissions by 0.46%, thus supports the environmental Kuznets curve hypothesis that an increase in a country’s economic growth leads to a reduction in environmental pollution. An increase in electricity production from hydroelectric sources by 1% will reduce carbon dioxide emissions by 0.30%, thus increasing renewable energy sources in Ghana’s energy portfolio will help mitigate carbon dioxide emissions. Increasing Enteric Emissions by 1% will increase carbon dioxide emissions by 4.22% and a 1% increase in the Nitrogen content of Manure Management will increase carbon dioxide emissions by 6.69%. The SIMPLS regression forecasting exhibited a 5% MAPE from the prediction of carbon dioxide emissions.

scholarly journals Carbon Taxes and the Composition of New Passenger Car Sales in Europe

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4631 ◽  
Author(s):  
Orkhan Nadirov ◽  
Jana Vychytilová ◽  
Bruce Dehning
Keyword(s):  
Interest Rates ◽  
Carbon Dioxide Emissions ◽  
Generalized Method Of Moments ◽  
Significant Shift ◽  
Carbon Taxes ◽  
Passenger Cars ◽  
Fuel Price ◽  
Method Of Moments Estimator ◽  
Reduce Carbon Dioxide ◽  
The Impact

This paper examines the effectiveness of implementing carbon taxes to reduce carbon dioxide emissions from transport. Using the system Generalized Method of Moments estimator, we utilize cross-country analysis for the first time to study the impact of carbon taxes on the composition of petrol versus diesel passenger cars sold in 17 countries over the period 2013–2017. The results suggest that increasing carbon taxes affects consumer behavior, causing a significant shift from petrol to diesel fuel vehicles, controlling for factors such as the price of passenger cars, fuel price, interest rates, income level, population density, inflation, and vehicle stock.

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