Energy
Energy
5 years ago

Multi-objective optimization of a novel syngas fed SOFC power plant using a downdraft gasifier

A syngas fed SOFC cogeneration system using a downdraft gasifier is modeled and optimized from the viewpoints of thermodynamics and thermoeconomics. A multi-objective optimization method based on genetic algorithm in the form of two different scenarios is carried out. In scenario I (exergoeconomic) the total exergy gained ( TEG CHP ) and total product unit cost ( c p ) of the system are considered as two objective functions, while in scenario II (exergoenviroment) and normalized CO2 emission ( ε ) are presumed as the two objectives. In both scenarios, optimization process is performed with the aim of maximizing the total exergy gained and minimizing the second objective function (in scenario I and in scenario II). The optimization results demonstrates that minimization of the total product unit cost of system as the only criterion leads to the higher values of normalized CO2 emission and lower values of the system exergy efficiency. In addition, it is revealed that, at the optimal conditions, despite the lower amounts of stack inlet temperature and current density for scenario II, the net electrical power obtained by scenario I is quite higher.

Publisher URL: www.sciencedirect.com/science

DOI: S0360544218301385

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.