Effects of Plant Location on Cost of CO2 Capture
Autor: | Federico Consonni, Keith Burnard, Noemi Ferrari, Luca Mancuso |
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Rok vydání: | 2019 |
Předmět: |
Waste management
Post-combustion capture Power station business.industry Combined cycle Fossil fuel 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Pollution Industrial and Manufacturing Engineering Economic parameters law.invention General Energy 020401 chemical engineering Natural gas law Environmental science Coal 0204 chemical engineering business Cost of electricity by source Productivity 0105 earth and related environmental sciences |
Zdroj: | SSRN Electronic Journal. |
ISSN: | 1556-5068 |
Popis: | Most economic assessments addressing the application of CO2 Capture and Storage (CCS) applications to fossil fuel fired power plants reported in literature are either focused on a specific country or consider a hypothetical site in the U.S. or The Netherlands. Although these may be regions where large-scale power plants with CCS will be built, there is greater potential for CCS in regions where coal consumption is greater and expected to increase or where emission reduction targets would imply CCS to be considered also in gas fired power stations. The main objective of this paper is to investigate and quantify how the costs of CO2 capture are likely to vary for different locations, summarizing the results of a dedicated IEAGHG study developed by Amec Foster Wheeler Italiana. The paper focuses on supercritical pulverised coal (SC PC) and natural gas combined cycle (NGCC) power plants. Post combustion capture based on solvent scrubbing only has been considered, being currently the commercially leading option for capture. Variations in the performance and costs of plants have been quantified, according to local and site-specific conditions. The main parameters that have been identified as affecting plant performance and costs are technical differences between the sites (mainly ambient conditions and fuel analysis) and economic parameters (mainly fuel price, labour costs and productivity and local costs of material). |
Databáze: | OpenAIRE |
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