4.5 Article

A mixed computational and experimental approach to Improved biogas burner flame port design

期刊

ENERGY FOR SUSTAINABLE DEVELOPMENT
卷 44, 期 -, 页码 37-46

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.esd.2018.02.008

关键词

Biogas combustion; Flame port design; Optimization; Burners

资金

  1. National Science Foundation Graduate Research Fellowship Program
  2. Factor[e] Ventures
  3. Sistema.Bio
  4. Energy Institute at Colorado State University

向作者/读者索取更多资源

Anaerobic digestion is a well-known and potentially beneficial process for rural communities in emeiging markets, providing the opportunity to generate usable gaseous fuel from waste resources. With recent developments in low-cost digestion technology, communities across the world are gaining affordable access to the benefits of anaerobic digestion derived biogas. For example, biogas provides a more efficient and cleaner burning alternative to biomass (wood, charcoal, dung), effectively reducing harmful emissions and fuel consumption. This study sought to develop and test a design approach for optimizing flame port geometry for household biogas-fired burners. The approach consists of a multi-component simulation that incorporates threedimensional CAD designs with simulated chemical kinetics and computational fluid dynamics The sim.ulated flame port designs included an array of circular and rec tangulatgeometries using a widely available biogas burnei The thr.ee highrst pei forminrdesigns identified weie manufrctured and tested expei imentari to validate model outputs and to compare against a baseline port geometry In the expei iment,rich of the thiee desirns suggested impi oved trrmed efficiency relative to the baseline A configuration of four millimetei cn culrr irrts lesultedrm a 7 17in improvement, laising rn average thei mal efrciency of 53 0% to 56 8% The results indicated thathydiauli c diametei, velocrty and mixtuie density are i elevanrfactoi s in prt geometry design to impiove therthei mal efrmiency of a biogas burnei Conveir.sely, re emissions predictions made by the model (C) 2018 International Energy Initiative Published by Elsevier Inc All nghr reserv.e(C)

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