Operating strategies of CO2 reduction for a container terminal based on carbon footprint perspective

2017 ◽  
Vol 141 ◽  
pp. 472-480 ◽  
Author(s):  
Yi-Chih Yang
Keyword(s):  
Carbon Footprint ◽  
Container Terminal ◽  
Co2 Reduction ◽  
Operating Strategies

scholarly journals Smart Modulation for Control Systems with High Regulation Capabilities for Cooling Systems Optimisation and Carbon Footprint Reduction in Industry

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8578
Author(s):  
Roman Baraniuk ◽  
Welf-Guntram Drossel
Keyword(s):  
Carbon Footprint ◽  
Iterative Process ◽  
Internal Combustion Engines ◽  
Co2 Reduction ◽  
Signal Amplitude ◽  
Machine Learning Techniques ◽  
Drilling Depth ◽  
Cooling Systems ◽  
Precise Shape ◽  
Smart Control

Nowadays, every large enterprise is concerned about reducing CO2 emissions. Along with legislation, management, packaging, and transportation decisions, optimising the operation of automated systems in the industry is important. Overheating processes or large cooling systems of one machine during product assembly may seem minor but at the industry level it is quite significant. Either an optimisation of cooling systems or an intelligent machine control which will prevent heat strokes and allow the transition to passive cooling of the whole system is an important issue for improving machine tools efficiency and contributing therefore to CO2 reduction in the industry sector. This research is a transitional phase from the creation of a control system to solve the problems of resonance in the control of systems with parallel piezo kinematics, which were designed to automate the iterative process of non-circular drilling with a precise shape and the subsequent research on the implementation of smart control to optimise the cooling of industrial machines. The total dynamics of the example system in this research is unknown and consists of the dynamics of electrical converters, piezo kinematics, and mechanics. The control signal of this system is generated by the model of the system state with assumptions and simplifications in combination with machine learning techniques considering the previous errors of the transient characteristics with the possibility of re-drilling without damaging the workpiece and with possibility of further trainings to eliminate the iterative process in general. Algorithms for further training at different resonances with a drilling depth change for cylinders of internal combustion engines are offered. These algorithms are proposed for accurate transmission of the input signal amplitude even in resonant situations, power optimisation, increase the system efficiency, as well as reducing the carbon footprint when used in industry in specific applications.

scholarly journals Design and Development of a Carbon Footprint Calculation Model for Universiti Tenaga Nasional

2019 ◽  
Vol 8 (4) ◽  
pp. 6236-6239
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Carbon Dioxide Emission ◽  
Co2 Reduction ◽  
Calculation Model ◽  
Emission Sources ◽  
Global Awareness ◽  
Literature Reviews ◽  
Carbon Dioxide Co2 ◽  
College Of Engineering

Carbon footprint is the amount of a greenhouse gas (GHG) produced as a result of human activities, usually expressed in equivalent kilograms of carbon dioxide (CO2). As the amount of greenhouse gases emission increases, the global temperature increases. In the context of a global awareness of the climate change, carbon footprint has recently become extensively calculated and ways to reduce it are proposed. The purpose of this research is to calculate the amount of carbon footprint discharged by students in College of Engineering (COE), Universiti Tenaga Nasional (UNITEN). From this research a model to calculate the carbon dioxide emission released from the activities done by the COE students particularly, is developed. Literature reviews are done leading to an explanation of what emission categories should be presented in a CO2 calculation for a university. This includes emission sources in each buildings, activities and services in COE particularly. Conducting survey is one of the methods to get the data from the students and staffs directly. From this data, the calculation is done and tabulated in the Excel template. From this template model, the carbon footprint for each or total students of COE can be known. Referring to this data, CO2 reduction strategy in COE particularly and UNITEN generally can be proposed.

CARBON FOOTPRINT ASSESSMENT AT UNIVERSITI TEKNOLOGI MARA SERI ISKANDAR CAMPUS, MALAYSIA

2017 ◽  
Vol 2 (1) ◽  
pp. 59
Author(s):  
Nor Izana Mohd Shobri ◽  
Wan Noor Anira Hj Wan Ali ◽  
Norizan Mt Akhir ◽  
Siti Rasidah Md Sakip
Keyword(s):  
Total Energy ◽  
Carbon Footprint ◽  
Electrical Power ◽  
Total Carbon ◽  
Green House ◽  
Green House Gas ◽  
Carbon Footprint Assessment ◽  
The University ◽  
Electrical Consumption

The purpose of this study is to assess the carbon footprint emission at UiTM Perak, Seri Iskandar Campus. The assessment focuses on electrical power and transportation usage. Questionnaires were distributed to the staffs and students to survey their transportation usage in the year 2014 while for electrical consumption, the study used total energy consumed in the year 2014. Data was calculating with the formula by Green House Gas Protocol. Total carbon footprint produced by UiTM Perak, Seri Jskandar Campus in the year 2014 is 11842.09 MTC02' The result of the study is hoped to provide strategies for the university to reduce the carbon footprint emission.

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