Multi objective optimization of performance parameters of a single cylinder diesel engine running with hydrogen using a Taguchi-fuzzy based approach
Description
Environmental issues and rapid exhaustion of fossil fuels are the major concerns over the past two decades to search for alternative fuels. Among various alternatives hydrogen is a long-term renewable and least polluting fuel. Its clean burning capability helps to meet the stern emission norms. Full substitution of diesel with hydrogen may not be convenient for the time being but employing of hydrogen in a diesel engine in dual fuel mode is possible. In this experimental investigation a TMI (timed manifold injection) system has been developed using ECU (electronic control unit) with varying injection strategy to deliver hydrogen on to the intake manifold. Through adopting this technique in the existing diesel engine a momentous improvement in performance and combustion parameters has been observed. The study also attempts to explain the application of the fuzzy logic based Taguchi analysis to optimize the performance parameters i.e. BSEC (Brake specific energy consumption), Vol. Eff. (Volumetric efficiency) and BTHE (brake thermal efficiency) for the different hydrogen injection strategies. - Highlights: • A timed manifold injection system has been developed which enhances the BTHE by 31.74% at full load conditions. • Use of hydrogen-diesel dual fuel of BSEC was reduced by a maximum of 68.98% at full load condition compared to diesel. • Τhe Vol. Eff. reduced by 73.14% in dual fuel mode as compared to 77.23% at full load condition with base diesel. • A fuzzy based Taguchi's parameter design technique has been involved in multi objective optimization for prediction. • Predicted optimum combination improved BTHE and Vol. Eff. by 24.04% and 72.87% respectively and reduced BSEC by 59.03%
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2013.10.045Additional details
Identifiers
- DOI
- 10.1016/j.energy.2013.10.045;
- PII
- S0360-5442(13)00897-9;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 63
- Journal Page Range
- p. 375-386
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 46018637
- Subject category
- S42: ENGINEERING; S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- ALTERNATIVE FUELS; COMBUSTION; CONTROL SYSTEMS; CYLINDERS; DIESEL ENGINES; ELECTRONIC EQUIPMENT; ENERGY CONSUMPTION; FUEL INJECTION SYSTEMS; FUZZY LOGIC; HYDROGEN; OPTIMIZATION; PERFORMANCE; POLLUTION LAWS; THERMAL EFFICIENCY
- Descriptors DEC
- CHEMICAL REACTIONS; EFFICIENCY; ELEMENTS; ENGINES; EQUIPMENT; FUEL SYSTEMS; FUELS; HEAT ENGINES; INTERNAL COMBUSTION ENGINES; LAWS; MATHEMATICAL LOGIC; NONMETALS; OXIDATION; THERMOCHEMICAL PROCESSES
Optional Information
- Copyright
- Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.