articleResults in EngineeringJun 1, 2023GOLD OA

Response surface methodology (RSM) for optimizing engine performance and emissions fueled with biofuel: Review of RSM for sustainability energy transition

Universiti Teknologi Petronas · Birla Institute of Technology and Science, Pilani - Dubai Campus · +2 more institutions

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Abstract

Response Surface Methodology (RSM) is a statistical method to design experiments and optimize the effect of process variables. RSM is based on the principles of design of experiments or DOE. Design of experiments or DOE is a field of applied statistics that plans, conducts, analyses, and interprets controlled tests to assess factors that affect parameter values. Response surface methodology or RSM uses a statistical method for designing experiments and optimization. Despite the potential of response surface methodology to predict and optimize engine performance and emissions characteristics, a comprehensive review on RSM for biofuels, particularly for internal combustion engines (ICEs), is difficult to find.…

Citation impact

413
total citations
FWCI
54.88
Percentile
100%
References
128
Citations per year

Authors

4

Topics & keywords

Keywords
  • Response surface methodology
  • Biofuel
  • Design of experiments
  • Process engineering
  • Computer science
  • Biochemical engineering
  • Engineering
  • Machine learning
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