892 resources related to Carbon Footprint
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Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.
The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.
APEC focuses on the practical and applied aspects of the power electronics business. The conference addresses issues of immediate and long term importance to practicing power electronics engineer.
International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society. The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes: the fundamentals of the interactions electromagnetic waves with environment and target to be observed; the techniques and implementation of remote sensing for imaging and sounding; the analysis, processing and information technology of remote sensing data; the applications of remote sensing in different aspects of earth science; the missions and projects of earth observation satellites and airborne and ground based campaigns. The theme of IGARSS 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.
ISSCC is the foremost global forum for solid-state circuits and systems-on-a-chip. The Conference offers 5 days of technical papers and educational events related to integrated circuits, including analog, digital, data converters, memory, RF, communications, imagers, medical and MEMS ICs.
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...
2017 4th International Conference on Industrial Engineering and Applications (ICIEA), 2017
Solar Photovoltaic (PV) system is considered as one of the most important renewable energy sources as global community pledging to reduce greenhouse gas (GHG). However, there is environment cost for producing PV systems, including all carbon emissions generated from all phases of manufacturing supply chain. Thus, energy payback time (EPBT) has become important criteria to evaluate the performance PV systems. ...
2011 International Conference on Electric Technology and Civil Engineering (ICETCE), 2011
The research tool of Carbon Footprint was brought forward to formulate Low- Carbon City Proper Planning better. In order to accommodate the long range and uncertainty in Low-Carbon City Proper planning, for example, Beijing Shijingshan District, all kinds of Carbon Footprint and the capacity of Carbon sink of city proper were calculated and analyzed by the computing method of Carbon ...
2012 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring, 2012
The research of the relationship between carbon footprint generated by energy consumption and environmental quality could provide scientific basis for the coordinated development of energy, environment and economy. This paper calculated the carbon footprint energy consumption in China's autonomous regions from the perspective of carbon cycle. Meanwhile, it adopts principal component method to make comprehensive evaluation of environmental quality in ...
2016 IEEE ANDESCON, 2016
This paper presents the analysis and selection of different variables as CO2 Emission Factor and electrical variables to the construction of a carbon footprint meter due to power consumption to be employed in Colombia. It is discussed the importance the identification of carbon footprint production due to power generation and how it affects the environment, we select the emission factor ...
2011 Third International Conference on Measuring Technology and Mechatronics Automation, 2011
The purpose of this study is to evaluate the quantification of carbon footprint over the full life cycle of a large public building by establishing the framework of carbon footprint evaluation system. The theoretical basis of the framework is the life cycle theory, the gray system theory and the analytic hierarchy process. A quantity of real data should be collected ...
Approaches towards energy-efficiency in the cloud for emerging markets
A Smart Grid for Intelligent Energy Use
DualCool NexFET Power MOSFETs
IEEE Green Energy Summit 2015: Program Overview
IEEE Entrepreneurship @ #CollisionConf: Carbon Robotics
Mildred Dresselhaus: IEEE Medal of Honor 2015
Tech News: IEEE and Nanotechnology
B. Jayant Baliga: IEEE Medal of Honor - IGBT and energy savings
Larson Collection interview with Melvin Calvin
RoboThespian Invites You to Watch the IEEE Honors Ceremony
Charging Ahead: the Case for Plug-in Hybrid Cars
Reducing Electricity Usage: APEC 2013 KeyTalk with Dr. Jayant Baliga
Testing My New Robot Body
Intermodulation Distortion Mitigation in Microwave Amplifiers and Frequency Converters
Going Beyond Moore's Law: IEEE at SXSW 2017
The Design of Wearable Robots for Lower-Extremity Human Augmentation
Zero Emission Powertrains and Fuel Cell Engines: APEC 2019
Advances in MgB2 - ASC-2014 Plenary series - 7 of 13 - Wednesday 2014/8/13
Solar Photovoltaic (PV) system is considered as one of the most important renewable energy sources as global community pledging to reduce greenhouse gas (GHG). However, there is environment cost for producing PV systems, including all carbon emissions generated from all phases of manufacturing supply chain. Thus, energy payback time (EPBT) has become important criteria to evaluate the performance PV systems. Estimating EPBT of PV systems relies on life cycle analysis (LCA) assessment. Current carbon footprint (CF) calculation uses long-run CF averaging method, which generates static CF information. However, solar PV Supply chain is quite dynamic because PV system components may be manufactured in different regions and use different power sources. Thus, the averaging method is not able to capture the dynamics of CF and that also implies that the uncertainties and data quality of CF auditing are negatively impacted. This study proposes an IoT-based dynamic carbon footprint approach to address the challenges above. The proposed method aims to capture LCA measuring data from IoT sensors and calculate dynamic CF of PV module across PV supply chain. The dynamic CF allows each PV module to have unique CF pedigree information based on its source of parts, the mix of energy types used during the manufacturing stage, and other CF related allocation data. The dynamic CF information can greatly reduce the information asymmetry between data providers and CF auditors, thus lowering the uncertainties and improving the data quality of CF auditing. A case study of a solar PV supply chain is presented in this paper, and the proposed approach is evaluated against the current practice.
The research tool of Carbon Footprint was brought forward to formulate Low- Carbon City Proper Planning better. In order to accommodate the long range and uncertainty in Low-Carbon City Proper planning, for example, Beijing Shijingshan District, all kinds of Carbon Footprint and the capacity of Carbon sink of city proper were calculated and analyzed by the computing method of Carbon Footprint, then, the Low-Carbon City Proper planning ideas of Shijingshan District was proposed. The result showed that the Carbon Footprint of Shijingshan District was relatively large, especially the Carbon Footprint of production had reached 17008722 ton, and the Carbon Footprint of life had reached 2144.33 ton. To reduce the carbon emissions of city proper, the traditional economy development mode should be changed, the industrial structure should be adjusted, the energy conservation technology should be developed, the Carbon sink resource should be expanded, and the buildings with Low-Carbon, transportation with Low-Carbon, and life of Low-Carbon should be developed.
The research of the relationship between carbon footprint generated by energy consumption and environmental quality could provide scientific basis for the coordinated development of energy, environment and economy. This paper calculated the carbon footprint energy consumption in China's autonomous regions from the perspective of carbon cycle. Meanwhile, it adopts principal component method to make comprehensive evaluation of environmental quality in autonomous regions. The results show that the carbon footprint in China's autonomous regions is increasing and the environmental quality is deteriorating. This paper adopts gray correlation analysis to analyze the relevance of carbon footprint generated by energy consumption with overall environmental quality and various environmental indicators and impact conditions. The results show that carbon footprint generated by energy consumption is highly correlated with changes of overall environmental quality and various environmental indicators. The increase of energy consumption leads to the degradation of environmental quality and also increases the carbon footprint.
This paper presents the analysis and selection of different variables as CO2 Emission Factor and electrical variables to the construction of a carbon footprint meter due to power consumption to be employed in Colombia. It is discussed the importance the identification of carbon footprint production due to power generation and how it affects the environment, we select the emission factor of the national interconnection system (NIS), and we create a probe bank to measure the electrical variables and determinate the precision of the data collected compared to a calibration standard.
The purpose of this study is to evaluate the quantification of carbon footprint over the full life cycle of a large public building by establishing the framework of carbon footprint evaluation system. The theoretical basis of the framework is the life cycle theory, the gray system theory and the analytic hierarchy process. A quantity of real data should be collected by questionnaire, site survey scene and consulting of specialist and pretreated through unit conversion to take the associated data set as a class to deal with. The universality and peculiarity of carbon footprint in large-scale public building should be concluded on the basis of a great number of effective data. The quantitative analysis method should be used to confirm different weighting coefficients, the gray relational degrees of carbon footprint and its influencing factors in large public building. The theoretical analysis showed that the evaluate system is applicable to large public buildings of various kinds, and quality of comprehensive evaluation with this system shall be good. Carbon footprint analysis of large public buildings contributes to the allocation of limited resources for reducing regional greenhouse gas emissions.
This document gives an overview of the author's efforts at the Hewlett-Packard Company to develop tools and processes to systematically estimate the life cycle carbon footprint of digital printers.
The carbon footprint research based on life cycle analysis is more likely to show a comprehensive picture of overall carbon emission in the construction process, effectively guiding the "low carbon" implementation of all work. In this paper, it is preliminarily discussed the carbon footprint calculation boundary and methods corresponding to the 3 stages of construction, maintenance, and demolition in landscaping works. It proposed that landscaping works should centre on reduction of hidden carbon footprint in planning, design, and construction management, and reduce dominant carbon footprint in the 3 stages through reasonable selection of planted vegetation, shortened long distance transport and reducing high fuel consumption of machineries. Finally, the detailed estimation research is made into the landscaping works for the open space of Wuhan Optics Valley Road with the aim of exploring carbon emission specific calculation indicators and methods in its all working processes.
As the carbon emission becomes a serious problem, a lot of research works now focus on how to monitor and manage carbon footprints. One promising approach is to create a “carbon footprint aware” world to expose people to the carbon footprints associated with the products they buy and the services they use. Carbon footprint labeling (CFL) of products enables the consumers to choose their products not only based on quality and cost, but also based on their carbon footprints. Similarly, carbon footprints of common activities and services can also be labeled to enable informed choices. CFL can impact the supply chain operations as well. With the carbon footprint information, the carbon-footprint-optimal supply chain can be identified to model the supply chains with least carbon emissions. Existing carbon footprint management systems mostly rely on databases to maintain carbon footprint data. But database alone is not sufficient for carbon footprint labeling. In this paper, we develop an ontology model, CFL-ontology, to specify how products are produced, the processes involved in activities and services, and the computation functions to derive the carbon footprints of the products, activities, and services, based on the associated descriptions. With the CFL- ontology, reasoning can be performed to automatically derive the carbon footprint labels for individual products and services.
It is intended to evaluate the environmental impact generated by the use of conventional energy in a hospital level 4, and the mitigation obtained with the implementation of a photovoltaic system. The above taking into account that, in order to guarantee compliance with health services, the institutions can use different conventional and some renewable energy sources from the country's electricity grid. In this study, the institution supplements its high daily energy demands using mains electricity and steam boilers. The latter contribute to worsen environmental health problems by emitting greenhouse gases (determined in tonnes of CO2 equivalent) daily into the environment. As a possible solution to the above problem, the specific and overall energy demands of the institution are analyzed. With this information, the carbon footprint, through ISO 14064-1, will be calculated over a period of one year, identifying the direct and indirect sources and their respective emissions. Subsequently, environmental management strategies were established to mitigate the carbon footprint generated. As a result, we identify and present in this article, the co-benefits for the implementation of a solar photovoltaic system, considering national and international regulations.
This work introduces a new approach to solve the redundancy allocation problem (RAP) by including the optimization of carbon footprint for multi-state systems (MSS). Each component of such systems is supposed to have a carbon emission factor to assess its impact on the environment. Therefore, it is convenient to integrate renewable energy into production subsystems by considering the emission factor in the design of a given system. This paper presents the design of a hybrid wind turbine / Gas system, while taking into consideration the optimization of the carbon footprint. This optimization is carried out taking in consideration the evaluation of the availability, which is set by the introduction of the universal generating function (UGF), and by optimizing the cost. To do so, we introduce an Improved Genetic Algorithm (IGA). The experimentation results and discussion showed the effectiveness of our algorithm.
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