Development of a multi-objective decision-making model to recover flare gases in a multi flare gases zone
| Autor: | Mohammad Soltanieh, Ali Vatani, Zeinab Hamidzadeh, Sourena Sattari |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Flue gas
Payback period Combined cycle 020209 energy Thermal power station 02 engineering and technology Industrial and Manufacturing Engineering law.invention chemistry.chemical_compound 020401 chemical engineering law 0202 electrical engineering electronic engineering information engineering Capital cost 0204 chemical engineering Electrical and Electronic Engineering Civil and Structural Engineering Waste management Mechanical Engineering Dry gas Building and Construction Pollution Pipeline transport General Energy Electricity generation chemistry Environmental science |
| Zdroj: | Energy. 203:117815 |
| ISSN: | 0360-5442 |
| DOI: | 10.1016/j.energy.2020.117815 |
| Popis: | In this paper, a systematic investigation and modeling of all available technologies (such as NGL, injection in pipelines, LNG, GTL, NGH, and CNG plants, EOR, electricity production by thermal power plants, and water generation by MED technologies) for flare gas recovery has been developed. An optimal combination of the technologies has been proposed for flare gas recovery of five oil wells in the south of Iran with different specifications as case studies. The optimal combinations of all the technologies have been investigated with minimizing the payback period of capital costs (economical) and maximizing CO2 pollutant reduction (environmental) objective functions by using the genetic algorithm, NSGA II, and decision-making methods, TOPSIS and LINMAP. By technical, economic and environmental modeling of the flare gas recovery technologies in MATLAB software, the final results show that the outlet gas of the NGL plant (100% of flare gas) is assigned to EOR (70% of dry gas), the gas turbine (4% of dry gas), the combined cycle power plant (26% of dry gas) and water generation (80% of gas turbine’s flue gases). The capital costs associated with the implementation of the proposed methodologies 410.8 million dollars and the return payback period is 1.08 years. |
| Databáze: | OpenAIRE |
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