113 resources related to Carbon Credits
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Artificial Intelligence, Control and Systems, Cyber-physical Systems, Energy and Environment, Industrial Informatics and Computational Intelligence, Robotics, Network and Communication Technologies, Power Electronics, Signal and Information Processing
The EEM is a well-established conference in Europe, which brings together international representatives from science, industry and politics from different fields to discuss a wide range of issues related to energy markets. These include not only topics concerning methodological aspects of modelling, such as mathematical formulations and solution approaches, but also those related to market design, regulatory and climate policies. Additionally, the conference offers a platform for engaging discussions related to policies and challenges in the energy sector. The conference is following the energy trends and will include new developments in the fields od Local Energy Communites and Energy Efficiency.
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.
The IEEE CBI series encourages a broad understanding of Business Informatics research, and intends to further its many different facets, theoretical foundations and experiential body of knowledge.
2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)
Electrical Engineering, Academic and Industrial
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.
Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
Plasma science and engineering, including: magnetofluid dynamics and thermionics; plasma dynamics; gaseous electronics and arc technology; controlled thermonuclear fusion; electron, ion, and plasma sources; space plasmas; high-current relativistic electron beams; laser-plasma interactions; diagnostics; plasma chemistry and colloidal and solid-state plasmas.
Requirements, planning, analysis, reliability, operation, and economics of electrical generating, transmission, and distribution systems for industrial, commercial, public, and domestic consumption.
2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, 2008
The phenomenon of gradual warming of the planet has occurred for thousands of years, but it has been increasing in the course of the twentieth century due to the high concentrations of gases, which are responsible for the greenhouse effect. Recently, the scientific community has been debating and searching for new sources of renewable energies and the effects of the ...
IEEE Engineering Management Review, 2018
To facilitate the widespread adoption of clean energy, we must devise practical economic incentives to deploy clean energy assets while reducing barriers to access that clean energy. While renewable energy credits and carbon offset credits successfully push these goals forward, the associated accounting and management systems still suffer from numerous flaws that drive costs up and slow the monetization of ...
2010 IEEE International Conference on Automation Science and Engineering, 2010
Reduction of carbon emissions is of paramount importance in the context of global warming. Countries and global companies are now engaged in understanding systematic ways of achieving well defined emission targets. In fact, carbon credits have become significant and strategic instruments of finance for countries and global companies. In this paper, we formulate and suggest a solution to the carbon ...
2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America, 2006
The proposal of dean development mechanism (CDM) assists signatory developing countries, such as those of Latin America, in using obtained resources of CDM, in the form of promoting economic, energetically sustainable development and expansion by means of distributed generation through renewable energy sources. In accordance with the CDM, activities, such as efficiency and/or energy conservation, in addition to renewable sources ...
2010 Second Brazilian Workshop on Social Simulation, 2010
Analytical macroeconomic scenarios are currently the most common approach to assist in the development and evaluation of economic policies. Reproducing and evaluating the results found by analytic models is one major hurdle to be overcome by social simulation on its early development in any specific knowledge area. This work describes an initial step toward moving from algebraic input-output economic models ...
Mildred Dresselhaus: IEEE Medal of Honor 2015
IEEE Entrepreneurship @ #CollisionConf: Carbon Robotics
Jaafar Elmirghani: Distinguished Experts Panel - TTM 2018
Tech News: IEEE and Nanotechnology
Approaches towards energy-efficiency in the cloud for emerging markets
IEEE-HKN presents: Engineering - The Challenge of the Future
Why Engineering Matters for Women
IEEE-HKN presents: Engineering - A Career for Tomorrow
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
Testing My New Robot Body
Reducing Electricity Usage: APEC 2013 KeyTalk with Dr. Jayant Baliga
Going Beyond Moore's Law: IEEE at SXSW 2017
A Smart Grid for Intelligent Energy Use
Advances in MgB2 - ASC-2014 Plenary series - 7 of 13 - Wednesday 2014/8/13
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 2 of 7 - Gordon Donaldson: A Memory - part II - Colin Pegrum
Zero Emission Powertrains and Fuel Cell Engines: APEC 2019
The phenomenon of gradual warming of the planet has occurred for thousands of years, but it has been increasing in the course of the twentieth century due to the high concentrations of gases, which are responsible for the greenhouse effect. Recently, the scientific community has been debating and searching for new sources of renewable energies and the effects of the increasing emissions. Taking these considerations into account, the idea of this paper is to deal with the use of biogas generated from the anaerobic decomposition in landfills. These projects fit in the clean development mechanism of the Kyoto protocol. The main aim of this paper is to evaluate the potential of methane and electrical energy generation from the Goiania landfill and the carbon credits which can be obtained from this process. First, the methodologies that have been used to quantify the potential of methane generation over time will be presented. Second, some aspects of this sustainable project will be shown such as the valuation of the electrical energy potential and the revenues from carbon credits. Finally, a case study of the Goiania landfill will be presented.
To facilitate the widespread adoption of clean energy, we must devise practical economic incentives to deploy clean energy assets while reducing barriers to access that clean energy. While renewable energy credits and carbon offset credits successfully push these goals forward, the associated accounting and management systems still suffer from numerous flaws that drive costs up and slow the monetization of clean energy assets. Blockchain technology has emerged as a promising solution that can provide a secure and transparent distributed ledger, while autonomously executing transactions upon fulfillment of pre-defined criteria (“smart contracts”). As a result, credits can be easily tracked from generation through ownership trades to ultimate redemption. This leaves a simple audit trail, significantly reducing the associated time and cost, and enables producers to monetize their credits immediately after generation. Clean Energy Blockchain Network (CEBN) has recently announced a partnership with the Silicon valley power, where we will apply blockchain technology to simplify their participation in the low carbon fuel standard (LCFS) program. This real-world deployment will demonstrate how blockchain technology can dramatically simplify extremely complex trading environments and enable the practical implementation of valuable programs such as LCFS that financially incentivize clean energy production and use.
Reduction of carbon emissions is of paramount importance in the context of global warming. Countries and global companies are now engaged in understanding systematic ways of achieving well defined emission targets. In fact, carbon credits have become significant and strategic instruments of finance for countries and global companies. In this paper, we formulate and suggest a solution to the carbon allocation problem, which involves determining a cost minimizing allocation of carbon credits among different emitting agents. We address this challenge in the context of a global company which is faced with the challenge of determining an allocation of carbon credit caps among its divisions in a cost effective way. The problem is formulated as a reverse auction problem where the company plays the role of a buyer or carbon planning authority and the different divisions within the company are the emitting agents that specify cost curves for carbon credit reductions. Two natural variants of the problem: (a) with unlimited budget and (b) with limited budget are considered. Suitable assumptions are made on the cost curves and in each of the two cases we show that the resulting problem formulation is a knapsack problem that can be solved optimally using a greedy heuristic. The solution of the allocation problem provides critical decision support to global companies engaged seriously in green programs.
The proposal of dean development mechanism (CDM) assists signatory developing countries, such as those of Latin America, in using obtained resources of CDM, in the form of promoting economic, energetically sustainable development and expansion by means of distributed generation through renewable energy sources. In accordance with the CDM, activities, such as efficiency and/or energy conservation, in addition to renewable sources of energy, have the possibility of generating "carbon credits" (Certified Emissions Reduction). This article will introduce the opportunities in the emissions market (emissions trade) as well as expose the necessary conditions for investment in CDM in Latin America, illustrating project opportunities that contribute to the regional energy matrix. The Brazilian case will be analyzed at greater depth, observing legal and institutional aspects regarding active energy and the environment
Analytical macroeconomic scenarios are currently the most common approach to assist in the development and evaluation of economic policies. Reproducing and evaluating the results found by analytic models is one major hurdle to be overcome by social simulation on its early development in any specific knowledge area. This work describes an initial step toward moving from algebraic input-output economic models to agent-based models, in order to get more flexibility, adding decision capabilities to the agents and exploring more complex scenarios. We study economic scenarios of carbon credits for reducing deforestation in a region of Para state, in the Brazilian Amazonia. The objective is to investigate the underlying assumptions of the analytic model through an agent-based approach, deriving new challenges to be tackled by future agent-based models.
SMEs make increasingly outstanding contributions to the real economy, and financing is the key factor to their development. Currently, credit is the main financing channel of SEMs in China, and carbon credit is an inevitable trend. On the basis of carbon credits, this paper try to establish a game model between SMEs and bank, seek an ideal game results Nash equilibrium. We find that Nash equilibrium is (taking no measures, lending) without any constraints. Obviously, it is disappointing. Thus, environmental protection bureaus should increase condemnatory strength on SMEs whose carbon reduction is substandard and the higher authority and regulator should also increase the punishment on bank in order to prevent it lend to SMEs with carbon reduction substandard. We suggest that it is necessary to eliminate conspiracy, strengthen penalties on pollution incidents and establish SMEs Union and so on.
South Africa has abundant natural resources such as wind, solar and hydro potential. However one local resource identified that is available throughout South Africa that can be used to generate electricity is landfill gas. The landfill gas to electricity technology is not new and has been piloted and proven to work at several utilities around the world. This technology serves dual purpose: destroying Methane, a known greenhouse gas, whilst generating electricity. These projects have been driven internationally by environmental concerns, carbon taxes, carbon credits and feed-in tariffs. These policies are not present yet in the South African context. However there are a large number of landfill sites within South Africa and Africa which can be utilized to generate much needed electricity in a continent which currently facing severe electricity shortages. A case study was carried out on the eThekwini Municipalities Bisasar Road landfill gas to electricity project which was a pilot project carried out in 2008 to understand the technology better. This paper provides a better understanding of the process of generating electricity from a landfill site and presents the financial feasibility assessment based on the Durban's Bisasar Road landfill gas to electricity project to date. The balance of the paper discusses some methods and options available to optimize these projects to improve the viability of other potential projects.
Using green IT techniques can significantly reduce an organization's-and ultimately a country's-carbon footprint.
The paper suggests a self-sustainable energy model for academic institutions using solar power. This model is proposed based on a study carried out for Indian Institute of Management Kozhikode. The model results suggest that significant economic and environmental gains are achieved over a sustained period of time. This model can be replicated across other academic institutions that have similar amount of the free roof area. Adoption of this model on a large scale will significantly reduce dependence on non-renewable sources of energy that are both polluting and scarce. This provides an opportunity for industrial restructuring from a grid based model to a self- powered system. The model, if adopted across academic institutions characterized by similar square feet area, large rooftop space, and similar solar insolation available, energy dependence on the central electricity grid can be brought down significantly.
With the development of low carbon economy, it's urgent to establish a wholesome carbon trading market in China. After analyzing related market rules and taking foreign successful carbon trading markets as an example, this paper tentatively constructs a national carbon trading simulation system. Under this system, users could do actual operations both in cap-and-trade and project trading. Besides, it offers trading figures for trading analyst and management. What's important, with model, it also provides the forecast of future trading prices and volumes, which will help users make right decisions in time. The construction of this system would effectively help users completely understand the process of carbon trading, arouse their interests, guild them in technological innovation, and support enterprises with energy- efficient capability to drive the transformation of the social production mode.
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