Design and Optimization of Cross-corrugated Triangular Ducts Towards Reducing CO2 Emission and Improving Energy Efficiency

Input-output model on cement plants were established. Carbon dioxide emissions of key steps and carbon footprint of products were calculated and predicted using the input-output model. The results showed that CO2 emission in the plant (the production of the plant is 1320000t a year) reached 910000 t a year and CO2 emission per ton product is 0.689 ton. Over 80% of the total CO2 was emitted during the process of firing，so the firing process is the key step for reducing CO2 emission in the cement plant. Carbon footprint of three kinds of cement products including ordinary portland cement, portland pozzolan cement and portland blast furnace slag cement are 0.76, 0.59, 0.72 respectively.

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

Thermal Science ◽

10.2298/tsci211019355v ◽

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.

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Multi-objective optimization of molten carbonate fuel cell system for reducing CO2 emission from exhaust gases

Frontiers in Energy ◽

10.1007/s11708-014-0341-7 ◽

2015 ◽

Vol 9 (1) ◽

pp. 106-114 ◽

Cited By ~ 6

Author(s):

Ramin Roshandel ◽

Majid Astaneh ◽

Farzin Golzar

Keyword(s):

Fuel Cell ◽

Co2 Emission ◽

Cell System ◽

Molten Carbonate Fuel Cell ◽

Multi Objective Optimization ◽

Molten Carbonate ◽

Fuel Cell System ◽

Multi Objective ◽

Carbonate Fuel Cell ◽

Reducing Co2 Emission

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

Encyclopedia of Organizational Knowledge, Administration, and Technology - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-7998-3473-1.ch168 ◽

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.

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

Journal of Marine Science and Engineering ◽

10.3390/jmse7120425 ◽

2019 ◽

Vol 7 (12) ◽

pp. 425 ◽

Cited By ~ 2

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.

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