Synthesis of Carbon Integration Networks Coupled with Hydrate Suppression and Dehydration Options

2018 ◽  
Vol 13 (4) ◽  
Author(s):  
Rachid Klaimi ◽  
Sabla Y Alnouri ◽  
Dhabia Al-Mohannadi ◽  
Joseph Zeaiter ◽  
Patrick Linke

Abstract The excessive increase in carbon dioxide emissions through the past several decades has raised global climate change concerns. As such, environmental policy makers have been looking into the implementation of efficient strategies that would ultimately reduce greenhouse gas (GHG) emission levels, and meet strict emissions targets. As part of a national emission reduction strategy, the reduction of carbon-dioxide emissions from industrial activities has been proven to be very significant. This instigated the need for a systematic carbon integration approach that can yield cost-effective carbon integration networks, while meeting prescribed carbon dioxide emission reduction targets in industrial cities. A novel carbon integration methodology has been previously proposed as a carbon network source-sink mapping approach using a Mixed Integer Nonlinear Program (MINLP), and was found to be very effective to devise emission control strategies in industrial cities. This paper aims to further improve the design process of carbon integration networks, by coupling carbon integration networks with hydrate suppression/moisture removal options. This was found vital for the prevention of any potential hazards that are associated with the transportation of carbon dioxide in pipelines, such as hydrate formation and various corrosion effects, which may result from moisture retention. An extensive analysis of carbon capture, dehydration, inhibition, compression, and transmission options have all been incorporated into the network design process, in the course of determining cost-optimal solutions for carbon dioxide networks. The proposed approach has been illustrated using an industrial city case study.

2021 ◽  
Vol 9 ◽  
Author(s):  
Elizabeth J. Abraham ◽  
Farah Ramadan ◽  
Dhabia M. Al-Mohannadi

Growing climate change concerns in recent years have led to an increased need for carbon dioxide emission reduction. This can be achieved by implementing the concept of circular economy, which promotes the practice of resource conservation, emission minimization, and the maintenance of sustainable revenue streams. A considerable amount of carbon dioxide emissions is a consequence of stationary sources from industrial processes. These emissions can be reduced using carbon capture utilization and storage (CCUS) or reduced at source by using emission free renewable resources. The method developed within this work uses mixed integer linear programming (MILP) to design sustainable clusters that convert seawater (including waste brine), air, and waste carbon dioxide emissions to value-added products with sunlight as the main energy source. In this way, circular economy is employed to minimize fresh resource consumption and maximize material reuse. The potential of this work is demonstrated through a case study, which shows that an industrial park may be profitable while adhering to strict emission and material constraints.


2019 ◽  
Vol 277 ◽  
pp. 01009 ◽  
Author(s):  
Qiannan GUO

This study proposed an optimization model combined with Binding Interval Linear Programming (ILP) and Fuzzy linear programming (FLP) Methods and further analyzed from the views of economic output, energy consumption, carbon dioxide emission and emission cost. The optimization model results demonstrated that the heavy energy consumption industries will significantly reduce, and the target of the carbon dioxide emissions per unit of GDP reduction decrease by 40%-45% from 2005 to 2020. In addition, the economic development model will trend to optimize the allocation of resources and green economy. However, a single low-carbon economic policy will always have shortcomings and low efficiency in emission reduction. Hence, the government should combine all emission reduction policies together and establish a lowcarbon economy system that practice production activities need.


2014 ◽  
Vol 2 (8) ◽  
pp. 133-139
Author(s):  
Nusratullah Khan ◽  
Kajal Nusatullah ◽  
Asadullah Shah

The Information Technology industry is rapidly expanding and as a result its contribution to carbon dioxide emission is also rapidly increasing. Fortunately, the cloud computing industry is perceived by many to be a viable solution for reducing carbon dioxide emissions. Accordingly, there are numerous studies which try to prove that cloud computing can reduce carbon dioxide emissions up to more than half of the current carbon dioxide emissions. In this paper, two of such studies where reviewed to assess whether cloud computing is indeed a viable candidate for limiting and reducing the amount of carbon dioxide emitted by the IT industry. All the information gathered in this paper prove that; cloud computing is a promising technology which could reduce carbon dioxide emissions. The percentage of decrease can range from 10% to 90%. The effectiveness of the carbon dioxide emission reduction process is highly dependent on the size of the business organization. Accordingly the size of the organization is negatively correlated to the efficiency of carbon dioxide reduction. This means that as the size of the organization increase, carbon dioxide emission reduction decrease. This paper also presented the four reasons why cloud computing can reduce carbon dioxide emissions, which are: dynamic provisioning, multi-tenancy, server utilization, and data center efficiency.


2020 ◽  

<p>Urban economic development cannot be separated from energy consumption, and energy consumption directly leads to a large number of carbon emissions. It is of great significance to study the relationship between carbon dioxide emissions and economic growth for the implementation of energy conservation, emission reduction and the development of low-carbon economy in cities. A new method of dynamic relationship between urban carbon dioxide emission and economic growth is put forward. The carbon dioxide emission data in cities are calculated by using urban carbon dioxide emission measurement method. The data of economic attributes are obtained by using classification algorithm under uncertain data flow environment. Based on this data, a decoupling model of carbon emission and economic growth is constructed to measure economic growth elasticity of urban carbon emissions; Granger causality test model is established to analyze the Granger causality between urban carbon dioxide emissions and economic growth. The experimental results show that the growth rate of urban economy is obviously faster than that of carbon emissions. Economic growth is the Granger causality of carbon dioxide emissions. On the contrary, the implementation of carbon emission reduction measures will not hinder economic growth.</p>


2021 ◽  
Vol 13 (2) ◽  
pp. 860
Author(s):  
Beibei Shi ◽  
Lei Wu ◽  
Rong Kang

In the face of increasingly severe climate change and its disastrous effects, how to effectively tackle it and reduce carbon dioxide emissions has become an important global issue. Clean development mechanism (CDM) project implementation provides an opportunity for more developing countries to actively participate in global climate governance. As the largest global emitter of carbon dioxide, have China’s CDM projects slowed down carbon dioxide emissions? In order to answer this question, the study constructs panel data at the provincial level from 2000 to 2017 to investigate the emission-reduction effects of China’s CDM projects. Results showed that China’s CDM projects’ implementation significantly reduced carbon dioxide emissions per unit of gross domestic product (GDP) and the growth rate of carbon dioxide emissions. The emission reduction effects of different types of CDM projects have obvious heterogeneity. In addition, this study further found that China’s CDM projects’ implementation can not only effectively substitute traditional fossil energy, but also improve energy-utilization efficiency.


PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251816
Author(s):  
Deng Jie Long ◽  
Li Tang

With the change of social economic system and the rapid growth of agricultural economy in China, the amount of agricultural energy consumption and carbon dioxide emissions has increased dramatically. Based on the estimation of agricultural carbon dioxide emissions from 1991 to 2018 in China, this paper uses EKC model to analyze economic growth and agricultural carbon dioxide emissions. The Kaya method is used to decompose the factors affecting agricultural carbon dioxide emissions. The experimental results show that there is a co-integration relationship between economic growth and the total intensity of agricultural carbon emissions, and between economic growth and the intensity of carbon emissions caused by five types of carbon sources: fertilizer, pesticide, agricultural film, agricultural diesel oil and tillage. Economic growth is the main driving factor of agricultural carbon dioxide emissions. In addition, technological progress has a strong role in promoting carbon emission reduction, but it has a certain randomness. However, the impact of energy consumption structure and population size on carbon emissions is not obvious.


2020 ◽  
Vol 218 ◽  
pp. 01033
Author(s):  
Zheng Qiao

Steel slag is a kind of alkaline solid waste produced in the process of steel production. In China, the annual steel slag production is very large but the utilization rate is only 20%. Therefore, technologies disposing steel slag effectively need to be developed. In traditional resource utilization technology, steel slag is used in sintering flux, road construction, cement and concrete production, preparation of glass ceramics and agriculture. In these fields, we mainly give full play to steel slag’s mechanical properties. Although these traditional technologies are simple and easy to use, the main reason for their limited application is the low value of resource-based products and the lack of market competitiveness. Therefore, some new exploration has been made on the resource utilization of steel slag, including dephosphorization of sewage, heavy metal adsorption, hazardous gas removal, fixed CO2 by mineral carbonation. Compared with the traditional resource utilization technologies, these new technologies mainly utilize the physical and chemical properties of steel slag, such as alkalinity and pore characteristics. However, these new technologies also have some limitations, so it is necessary to develop a resource-based technology with strong pertinency, large consumption and high added value of products to treat steel slag. Carbon dioxide is the most important greenhouse gas leading to global climate change. At present, China’s carbon dioxide emissions are high, so it is urgent to develop effective carbon dioxide emission reduction technology. In recent years, carbon capture, utilization and storage (CCUS) technology has received extensive attention. This paper summarizes the carbon capture utilization and sequestration technology, and discusses its problems at present.


2016 ◽  
Vol 61 (3) ◽  
pp. 587-600
Author(s):  
Paweł Wrona ◽  
Józef Sułkowski ◽  
Zenon Różański ◽  
Grzegorz Pach

Abstract Greenhouse gas emissions are a common problem noticed in every mining area just after mine closures. However, there could be a significant local gas hazard for people with continuous (but variable) emission of these gases into the atmosphere. In the Upper Silesia area, there are 24 shafts left for water pumping purposes and gases can flow through them hydraulically. One of them – Gliwice II shaft – was selected for inspection. Carbon dioxide emission with no methane was detected here. Changes in emission and concentration of carbon dioxide around the shaft was the aim of research carried out. It was stated that a selected shaft can create two kinds of gas problems. The first relates to CO2 emission into the atmosphere. Possible emission of that gas during one minute was estimated at 5,11 kg CO2/min. The second problem refers to the local hazard at the surface. The emission was detected within a radius of 8m from the emission point at the level 1m above the ground. These kinds of matters should be subject to regular gas monitoring and reporting procedures.


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