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
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
- FWCI
- 54.88
- Percentile
- 100%
- References
- 128
Authors
4Topics & keywords
- Response surface methodology
- Biofuel
- Design of experiments
- Process engineering
- Computer science
- Biochemical engineering
- Engineering
- Machine learning