4.5 Article

Energy, Exergy, Economic, Exergoeconomic, and Exergoenvironmental (5E) Analyses and Optimization of a Novel Three-Stage Cascade System Based on Liquefied Natural Gas Cold Energy

Journal

ENERGY TECHNOLOGY
Volume 10, Issue 7, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/ente.202200228

Keywords

active-X control; carbon capture; LNG cold energy; multi-objective optimization; supercritical CO2

Categories

Funding

  1. Doctoral Research Start-up Fund Project of Liaoning Province [2019-BS-159]
  2. Key Scientific Research Project of Liaoning Provincial Department of Education [L2020002]
  3. Scientific Research Fund Project of Liaoning Education Department [LJKZ0381]

Ask authors/readers for more resources

A novel three-stage cascade power/cooling cogeneration system is proposed and simulated, showing superior performance in power generation efficiency and net present value, as well as low carbon-emission characteristics.
Herein, a novel three-stage cascade power/cooling cogeneration system that includes the gas turbine (GT) cycle, supercritical CO2 Brayton cycle (S-CO2), transcritical CO2 Rankine cycle (T-CO2), and organic Rankine cycle is proposed. The system is simulated by connecting MATLAB and Aspen HYSYS via Active-X control. It is indicated in the results that the system exhibits power generation, primary energy utilization, and exergy efficiencies of 59.43%, 81.66%, and 53.94%, respectively. The total product cost and environmental cost per unit exergy are 23.80 and 32.66 $GJ(-1), respectively. Monoethanolamine is used to absorb CO2 from the exhaust gas, and cold energy from liquefied natural gas is utilized to capture carbon, with a capture rate of 96%, to realize low-carbon-emission characteristics. Additionally, the performance of the established system is verified using three basic cycles for comparison. It is revealed in the results that the designed system exhibits the highest thermodynamic performance and net present value among the investigated cycles. Furthermore, multi-objective optimization of the systems is performed using the second-generation non-dominated sorting genetic algorithm algorithm. Although the GT/S-CO2/T-CO2 cycle is found to be more cost-effective than the proposed system at generation efficiencies less than 55%, the established system is deemed the best option among the cycles at power-generation efficiencies greater than 55%.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available