Investigation of the Energy Efficiency and CO2 Emission Characteristics of Pre-stressed Composite Beams

2011 ◽  
Vol 21 (1) ◽  
pp. 163-175 ◽  
Author(s):  
Won-Kee Hong ◽  
Seon-Chee Park ◽  
Su-Young Jeong ◽  
Gyun-Taek Lim
Keyword(s):  
Energy Efficiency ◽  
Co2 Emission ◽  
Composite Beams ◽  
Emission Characteristics

scholarly journals Evaluation of the influence of terrain and traffic road conditions on the driver’s driving performances by applying machine learning

2021 ◽  
pp. 355-355
Author(s):  
Davor Vujanovic ◽  
Sladjana Jankovic ◽  
Marko Stokic ◽  
Stefan Zdravkovic
Keyword(s):  
Machine Learning ◽  
Energy Efficiency ◽  
Co2 Emission ◽  
Aggressive Driving ◽  
Driving Style ◽  
The Road ◽  
Traffic Conditions ◽  
Road Section ◽  
Vehicle Fleet ◽  
Cargo Transportation

In this paper, research is done in the influence of different terrain and traffic conditions on road sections on the driver?s driving performances, i.e. on the car energy efficiency and CO2 emission. A methodology aimed at determining to which extent unfavorable traffic and/or terrain conditions on a road section contribute to the driver?s worse driving performances, and also to determine when the driver?s aggressive driving style is responsible for greater fuel consumption and greater CO2 emission is proposed. In order to apply the proposed methodology, a research study was carried out in a cargo transportation company and 12 drives who drove the same vehicle on five different road sections were selected. As many as 284 014 of the instances of the data about the defined parameters of the road section and the driver?s driving style were collected, based on which and with the help of machine learning a prediction of the scores for the road section and the scores for the driver?s driving style was performed. The obtained results have shown that the proposed methodology is a useful tool for managers enabling them to simply and quickly determine potential room for increasing the energy efficiency of the vehicle fleet and decreasing CO2 emission.

A Review of Future Energy Efficiency Measures and CO2 Emission Reduction in Maritime Supply Chain

2021 ◽  
pp. 2431-2442
Author(s):  
Muhamad Fairuz Ahmad Jasmi ◽  
Yudi Fernando
Keyword(s):  
Energy Efficiency ◽  
Supply Chains ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Marine Pollution ◽  
Shipping Industry ◽  
Co2 Emission Reduction ◽  
Energy Efficiency Measures ◽  
Efficiency Measures ◽  
Cost Efficient

Marine pollution has increased society concerns on issues of coastal, emission, global warming, climate change, and marine ecosystems. The pressures are in the shipping industry to adopt green practices and contribute to the better world. The shipping industry which involves in maritime supply chains has been encouraged to adopt the low carbon technologies and energy efficiency practices. However, to what extent the maritime supply chains practice the energy efficiency measures and CO2 emission reduction remain relatively unknown. While this pursuit is a positive indicator, there is still limited adoption in these seemingly cost-efficient technical and operational measures aiming at reducing energy cost. Thus, it is crucial to understand the current practices in order to institute a more realistic baseline and reliable evaluation towards future energy efficiency improvement. Moreover, all of these reduction measures must go through detailed planning and should engage the attention of management level and maritime stakeholders for effective implementation.

scholarly journals Influence of EEDI (Energy Efficiency Design Index) on Ship–Engine–Propeller Matching

2019 ◽  
Vol 7 (12) ◽  
pp. 425 ◽  
Author(s):  
Ren ◽  
Ding ◽  
Sui
Keyword(s):  
Energy Efficiency ◽  
Co2 Emission ◽  
Greenhouse Gas Emission ◽  
Propulsion System ◽  
Matching Theory ◽  
Matching Process ◽  
Marine Diesel ◽  
Energy Efficiency Design Index ◽  
Relationship Of ◽  
The Relationship

With the increasingly strict international GHG (greenhouse gas) emission regulations, higher requirements are placed on the propulsion system design of conventional ships. Playing an important role in ship design, construction and operation, ship–engine–propeller matching dominantly covers the CO2 emission of the entire ship. In this paper, firstly, a ship propulsion system matching platform based on the ship–engine–propeller matching principle and its application on WinGD 5 × 52 marine diesel engine have been investigated. Meeting the energy efficiency design index (EEDI) regulation used to calculate the ship CO2 emission is essential and ship–engine–propeller matching has to be carried out with EEDI into consideration. Consequently, a procedure is developed combining the system matching theory and EEDI calculation, which can provide the matching results as well as the corresponding EEDI value to study the relationship between EEDI and ship–engine–propeller matching. Furthermore, a comprehensive analysis is performed to obtain the relationship of EEDI and system matching parameters, such as ship speed, effective power and propeller diameter, reflecting the trend and extent of EEDI when changing these three parameters. The results of system matching parameters satisfying different EEDI phases indicate the initial value selection in matching process to provide reference for the design of ship, engine and propeller under the EEDI regulations.

CO2 emission characteristics and reduction responsibility of industrial subsectors in China

2020 ◽  
Vol 699 ◽  
pp. 134386 ◽  
Author(s):  
Xinru Lin ◽  
Yiting Zhang ◽  
Chenyi Zou ◽  
Lihong Peng
Keyword(s):  
Co2 Emission ◽  
Emission Characteristics

Saturation, energy consumption, CO2 emission and energy efficiency from urban and rural households appliances in Mexico

2011 ◽  
Vol 43 (1) ◽  
pp. 10-18 ◽  
Author(s):  
Jorge Alberto Rosas-Flores ◽  
Dionicio Rosas-Flores ◽  
David Morillón Gálvez
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Co2 Emission ◽  
Rural Households

NO and N2O Formation/Decomposition Characteristics During Co-Combustion of Coal With Biomass

2005 ◽  
Author(s):  
Asri Gani ◽  
Ichiro Naruse
Keyword(s):  
Coal Combustion ◽  
Co2 Emission ◽  
N2o Emission ◽  
Reaction Scheme ◽  
Volatile Matter ◽  
N2o Emissions ◽  
Emission Characteristics ◽  
Homogeneous Reaction ◽  
Fuel Cost ◽  
N2o Formation

Co-combustion technologies of coal with biomass have been applied in many practical coal combustion boilers in order to reduce CO2 emission, fuel cost and so forth. Furthermore, the biomass may be able to enhance the combustion performance and to control NOx and N2O emissions since the biomass contains high volatile matter and evolves NH3 as the main volatile N-species. This study focuses on NOx and N2O emission characteristics during co-combustion of coal with biomass. The main results obtained show that emission amount of NO and N2O during co-combustion is relatively more than that during coal combustion. At least, NO behavior can be simulated by the homogeneous reaction scheme relating to NOx even at constant temperature. However, the N2O behavior will be influenced by heterogeneous schemes due to char particles during co-combustion.

scholarly journals Energy Efficiency Improvement of Debutanizer Column, for NGL Separation

2021 ◽  
Vol 12 (9) ◽  
pp. 255-260
Author(s):  
Ahmed Ould Brahim ◽  
◽  
Souad Abderafi
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Natural Gas ◽  
Co2 Emission ◽  
Reflux Ratio ◽  
Gas Combustion ◽  
Economic Point ◽  
Head Pressure ◽  
Optimal Values ◽  
Natural Gas Combustion

Compared to other petroleum, the natural gas combustion remains the cleanest and the one showing less CO2 emission. These reasons make the natural gas combustion one of the important issues to study. The separation of NGL is energy intensive. This operation is performed through a series of column including the debutanizer column. The present work is devoted to optimize the energy consumption at the level of the debutanizer column. The response surface technique and deploying a central composite numerical design is followed makes use of available data from a refinery. Using a multiple linear regressions, the optimization method leads us to three reliable models. Each of the three models takes as input the reflux ratio and the head pressure in order to predict the condenser heat duty, the reboiler heat duty and the purity of the produced butane. Suggested mathematical models were validated and their reliability was assessed via a set of statistical analyses. The optimization aims to simultaneously minimize the energy consumption of the condenser and reboiler, and maximize the purity of the ejected Butane. This optimization step allowed us to define the optimal values of reflux ratio and head pressure, with desirability function equal to 99 %. Under the determined optimal values, operating energy and cost of the industrial process were reduced by 38 % and 37 %, respectively, and besides, a high purity of butane was noticed reaching 99 %. From an economic point of view, separation NGL with optimal values of pressure and reflux ratio, may contribute to a decrease of CO2 emission and increases the energy efficiency.

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