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What is Input Factors

Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications
Independent variables of the studied system; they are introduced as the first approach in the optimization process.
Published in Chapter:
Application of Design of Experiments in Biofuel Production: A Review
Jesús Andrés Tavizón-Pozos (Cátedras CONACYT, Universidad Autónoma del Estado de Hidalgo, Mexico), Israel S. Ibarra (Universidad Autónoma del Estado de Hidalgo, Mexico), Alfredo Guevara-Lara (Universidad Autónoma del Estado de Hidalgo, Mexico), and Carlos Andrés Galán-Vidal (Universidad Autónoma del Estado de Hidalgo, Mexico)
DOI: 10.4018/978-1-7998-1518-1.ch004
Abstract
Biofuels emerge as an alternative to mitigate climate change. In this sense, four biofuels generations have been proposed to produce clean and renewable fuels. To achieve this, the development of these fuels requires an extensive and rigorous experimental work that will bring optimal results in short time periods. Hence, to accelerate the development of clean fuels, the Design of Experiments (DoE) methodologies are a useful tool to improve the operational conditions such as temperature, time, pressure, and molar ratios. Several authors have studied and optimized the different biofuel production systems using Factorial Designs and Response Surface Design methods and statistical analysis with reliable results. This chapter reviews and classifies the results obtained by these investigations and demonstrates the scopes and limitations of the application of DoE.
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