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Optimization of a Natural Gas Power Plant with Membrane and Solid Sorbent Carbon Capture Systems

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  • معلومة اضافية
    • بيانات النشر:
      Elsevier
    • الموضوع:
      2024
    • Collection:
      Directory of Open Access Journals: DOAJ Articles
    • نبذة مختصرة :
      Carbon capture & storage (CCS) with high capture rates (90-99%) will be necessary to keep natural gas around in a low-carbon future. Furthermore, as intermittent renewable energy expands, natural gas power plants will have to operate at low-load conditions more frequently. To meet these demands, we propose a natural gas combined cycle (NGCC) power plant with a hybrid CCS system that can attain high capture rates and easily cycle between high-load and low-load conditions. More specifically, we propose an integrated system where natural gas exhaust is first processed by a membrane CCS system and then by a solid sorbent CCS system. We integrated models of an NGCC plant, a membrane carbon capture system and a solid sorbent carbon capture system into a single optimization platform to maximize the net present value (NPV) and carbon capture rate of the integrated system. The optimization results indicate a 99.3% carbon capture rate from the inlet natural gas stream at high-load conditions, and a 99.6% carbon capture rate from the inlet natural gas stream at low-load conditions. Compared to a baseline NGCC system without carbon capture, the integrated system has a higher NPV, which indicates that performing carbon capture is more profitable than operating an NGCC system without carbon capture in a future with CO2 taxes. Compared to a baseline NGCC system with an amine-based CCS system that performs 90.7% carbon capture, the proposed integrated system captures more carbon and emits less CO2, while still maintaining a competitive CO2 capture cost.
    • ISSN:
      2772-6568
    • Relation:
      http://www.sciencedirect.com/science/article/pii/S2772656823000696; https://doaj.org/toc/2772-6568; https://doaj.org/article/0361796a3a7a4fc5a27de047bc0857f4
    • الرقم المعرف:
      10.1016/j.ccst.2023.100165
    • الدخول الالكتروني :
      https://doi.org/10.1016/j.ccst.2023.100165
      https://doaj.org/article/0361796a3a7a4fc5a27de047bc0857f4
    • الرقم المعرف:
      edsbas.CCD2A8D4