Current status of CCS initiatives in the major emerging economies

Cóndor, José; Unatrakarna, Datchawan; Asghari, Koorosh; Wilson, Malcolm

doi:10.1016/j.egypro.2011.02.620

Cited by 14 publications

(25 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…commercialization of CCS (Brunsvold et al, 2011). Similar work has also been done in the United States (Ambrose, et al, 2009) and developing countries such as China and India (Condor et al, 2011). At the same time, other researchers have attempted to develop a model to provide decision support for matching Source -Sink CO 2 .…”

Section: Introduce the Problemmentioning

confidence: 81%

Optimization of Network Carbon Capture and Storage System (CCS) Using Mathematical Approach

Licindo¹,

Paramudita²,

Handogo

et al. 2015

MAS

View full text Add to dashboard Cite

Carbon capture and storage (CCS) is one of the technologies to reduce greenhouse gas emissions (GHG) to capture of CO 2 from the flue gas of a power plant that typically use coal as a Source of energy and then store it in a suitable geological storage (in specific locations). In practice, these sites may not be readily available for storage at the same time that the Sources (GHG producing) are operating which gives rise to multi -period planning problems. This study presents a mathematical approach by considering constraints limit flowrate received by Sink, various time availability of Sink and Source and calculation with the purpose to determine the minimum cost network which is getting the maximum load that is exchanged from Source to Sink. Illustrative case studies are given to demonstrate the application of mathematical models to obtained with the exact result of the exchange network from Source to Sink. Derived from network obtained from the calculation of the Maximum Load Source to Sink and results may vary in accordance with the limitations that exist in the mathematical model. The case study has been prepared with 2 cases, first 6 Source and 3 Sink with value of Source Load is greater than the amount available on the Sink. Also, second case is 2 Source and 5 Sink with value of Source Load is smaller than the amount available on the Sink. In addition, Case Studies to minimize the cost of pipeline construction and distribution of CO 2 by plant and storage location determination in Java. Flowrate restriction factor that goes into Sink, Source and Sink establishment time and cost are taken into account can affect the networks that can be exchanged from the Source to the Sink.

show abstract

Section: Introduce the Problemmentioning

confidence: 81%

Optimization of Network Carbon Capture and Storage System (CCS) Using Mathematical Approach

Licindo¹,

Paramudita²,

Handogo

et al. 2015

MAS

View full text Add to dashboard Cite

show abstract

“…Various analyses [11,25] came to the conclusion that basin exploration and site characterization may be done under existing legislation. The injection itself would not be covered under the conditions of the current legal framework.…”

Section: Discussionmentioning

confidence: 99%

“…According to an analysis of peer-reviewed literature performed in October 2015 using Scopus, the first articles that mentioned CCS in South Africa as a possible mitigation measure in coal-consuming countries were published in 2007. In 2011, [10,11] explored the challenges of CCS with a direct focus on South Africa; [12] provided a comprehensive policy analysis of CCS in South Africa, India and Brazil from an environmental, economic and social perspective. In 2013, [13] provided insights into the proposed CO 2 test injection project.…”

Section: Introductionmentioning

confidence: 99%

Integrated Assessment of Carbon Capture and Storage (CCS) in South Africa’s Power Sector

2015

View full text Add to dashboard Cite

This article presents an integrated assessment conducted in order to explore whether carbon capture and storage (CCS) could be a viable technological option for significantly reducing future CO 2 emissions in South Africa. The methodological approach covers a commercial availability analysis, an analysis of the long-term usable CO 2 storage potential (based on storage capacity assessment, energy scenario analysis and source-sink matching), an economic and ecological assessment and a stakeholder analysis. The findings show, that a reliable storage capacity assessment is needed, since only rough figures concerning the effective capacity currently exist. Further constraints on the fast deployment of CCS may be the delayed commercial availability of CCS, significant barriers to increasing the economic viability of CCS, an expected net maximum reduction rate of the power plant's greenhouse gas emissions of 67%-72%, an increase in other environmental and social impacts, and low public awareness of CCS. One precondition for opting for CCS would be to find robust solutions to these constraints, taking into account that CCS could potentially conflict with other important policy objectives, such as affordable electricity rates to give the whole population access to electricity.

show abstract

“…For example, the grid-wide deployment of carbon capture under steady state assumptions has been addressed by Tan et al [7,8] and Pekala et al [9] using both semigraphical pinch analysis [7] and mathematical programming techniques [8,9]. A notable example is the GeoCapacity project in the EU [11]; similar work has also been done in the US [12] and emerging economies such as China and India [13]. Similarly, optimal planning of CO 2 transport infrastructure to match stream sources, such as power plants and industrial facilities, with appropriate sinks or storage sites, is now recognized as an important prerequisite to successful CCS commercialization [10].…”

Section: Introductionmentioning

confidence: 99%

Optimal source–sink matching in carbon capture and storage systems with time, injection rate, and capacity constraints

Tan

Aviso

Bandyopadhyay³

et al. 2012

Env Prog and Sustain Energy

View full text Add to dashboard Cite

Carbon capture and storage (CCS) involves capturing relatively pure carbon dioxide (CO2) from gaseous combustion products and storing it in various reservoirs. In this work, a multiperiod mixed integer linear programming model focusing primarily on physical and temporal considerations of CO2 source–sink matching is proposed. CO2 sources are assumed to be characterized by variable flow rates and fixed operating lives; on the other hand, CO2 sinks are characterized by finite injection rate and storage capacity limits, as well as earliest time of availability. The proposed approach takes into account important temporal issues that may be encountered in planning the CCS system, particularly when the operating lives of sources and sinks do not completely overlap. Two illustrative case studies are then solved to illustrate the use of the model to realistic CCS planning problems. © 2012 American Institute of Chemical Engineers Environ Prog, 32: 411‐416, 2013

show abstract

Current status of CCS initiatives in the major emerging economies

Cited by 14 publications

References 10 publications

Optimization of Network Carbon Capture and Storage System (CCS) Using Mathematical Approach

Optimization of Network Carbon Capture and Storage System (CCS) Using Mathematical Approach

Integrated Assessment of Carbon Capture and Storage (CCS) in South Africa’s Power Sector

Optimal source–sink matching in carbon capture and storage systems with time, injection rate, and capacity constraints

Contact Info

Product

Resources

About