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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2019.10
- 수록면
- 361 - 366 (6page)
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초록· 키워드
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A generalized process model of a microalgal biomass co-firing and an evaluation framework for feasibility assessment was developed. The process model allows for the representation of a diverse array of algal co-firing scenarios by the characterization the parameters at each step of algal cultivation and processing. As the flue gas composition changes with the introduction of algal biomass fuel, the closed loop iteratively solves the model until the change in flue gas composition falls under a set tolerance. Evaluation of a 1 GW PC power plant with 10% co-firing showed that despite a reduction in specific global warming emissions from 282.9 kg CO₂-eq/GJe to 254.0 kg CO₂-eq/GJe, LCOE rose from $36.6/GJe to $38.6/GJe resulting in a baseline avoidance cost of $69/ton CO₂. Due to the reliance on preliminary experimental data for parametric inputs, uncertainty was propagated with Monte Carlo simulations. The Monte Carlo distribution ranges for sustainability metrics revealed wide ranges with varying degrees of feasibility. Key R&D parameters were identified by performing sensitivity analysis. Monte Carlo results accounting for uncertainty can be used to set targets for R&D parameters such as algal productivity and biomass LHV. Conversely, the feasibility for a given algal co-firing plant can be assessed under the same framework.
목차
Abstract
1. INTRODUCTION
2. GENERALIZED PROCESS MODEL AND EVALUATION FRAMEWORK
3. RESULTS AND DISCUSSION
4. CONCLUSION
REFERENCES
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