Design of Experiments (DoE) and Process Optimization. A Review of Recent Publications

Weissman, Steven A.; Anderson, Neal G.

doi:10.1021/op500169m

Cited by 418 publications

(279 citation statements)

References 96 publications

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“…Design of experiment methods are widely used in factors correlations and performance optimizations of multivariable systems [10]. Fractional factorial design of experiment is optimally suitable for systems with a large number of factors like the thermal resistance of energy pile.…”

Section: Energy Pile Factorsmentioning

confidence: 99%

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Uniform Fractional Factorial Design Tables for Energy Piles With Maximum Thermal Conductance

Ahmed¹,

Al‐Khawaja²,

Suleiman³

2017

WIT Transactions on Ecology and the Environment

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Energy Piles are the heat exchangers of Ground Source Heat Pumps (GSHP) that transfer the buildings heat to the lower temperature shallow ground reducing the energy consumption in the cooling of buildings. These piles are designed with main objective of lowest thermal resistance. In this paper, nine factors influencing the thermal resistance of the energy pile are defined and statistically evaluated. These nine factors are; number of tubes, pile diameter, tube diameter, tube thickness, tube location, pile conductivity, tube conductivity, soil conductivity, and water flow rate. The thermal resistance of the energy pile is calculated using the line source analytical model. The significance of these factors is evaluated using fractional factorial uniform design tables. The results show significant decrease in the pile thermal resistivity with the increase of the tube diameter, number of tubes, water flow rate, and tube and pile thermal conductivities. On the other hand, decrease of the tube thickness, and pile diameter slightly decrease the pile thermal resistivity. Furthermore, the tubes located near the piles outer surface show significant decrease in the pile thermal resistivity. Also, the soil thermal conductivity has shown insignificant effects on the pile thermal resistivity.

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Section: Energy Pile Factorsmentioning

confidence: 99%

“…Investigating these factors together require an unreachable number of experiments to evaluate the interrelation between these controlling factors. Statistical design of experiments methods like uniform fractional factorial design can solve this problem [10].…”

Section: Introductionmentioning

confidence: 99%

Uniform Fractional Factorial Design Tables for Energy Piles With Maximum Thermal Conductance

Ahmed¹,

Al‐Khawaja²,

Suleiman³

2017

WIT Transactions on Ecology and the Environment

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“…130 This allows to reduce the manual labor, to increase the efficiency of results collection and to implement Design of Experiment methods (DOE). 131 This approach has been used to optimize the Mizoroki-Heck coupling between 4-chlorobenzotrifluoride with 2,3-dihydrofuran in a microreactor ( Figure 11). 132 An inline HPLC was used to measure the yield and the selectivity of the reaction.…”

Section: Determination Of Intrinsic Kinetics and Automation Of Chemicmentioning

confidence: 99%

Beyond Organometallic Flow Chemistry: The Principles Behind the Use of Continuous-Flow Reactors for Synthesis

Noël

Hessel

2015

Topics in Organometallic Chemistry

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Flow chemistry is typically used to enable challenging reactions which are difficult to carry out in conventional batch equipment. Consequently, the use of continuous-flow reactors for applications in organometallic and organic chemistry has witnessed a spectacular increase in interest from the chemistry community in the last decade. However, flow chemistry is more than just pumping reagents through a capillary and the engineering behind the observed phenomena can help to exploit the technology's full potential. Here, we give an overview of the most important engineering aspects associated with flow chemistry. This includes a discussion of mass-, heat-, and photon-transport phenomena which are relevant to carry out chemical reactions in a microreactor. Next, determination of intrinsic kinetics, automation of chemical processes, solids handling and multistep reaction sequences in flow are discussed. Safety is one of the main drivers to implement continuous-flow microreactor technology in an existing process and a brief overview is given here as well. Finally, the scale-up potential of microreactor technology is reviewed.

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“…The method uses statistics to determine the most important factors in a reaction and the interactions between these factors which may affect the outcome. In our experience, DoE is an underutilised technique throughout chemistry, although its benefits are being recognized and it is being adopted more readily in industrial settings [1][2][3]. One possibility for the slow update of experimental design is that it is a statistical method, however, the mathematics involved is simple and the focus should be on an improved understanding of chemical reactivity.…”

Section: Introductionmentioning

confidence: 99%

The Application of Advanced Design of Experiments for the Efficient Development of Chemical Processes

Murray¹,

Forfar²

2017

Chem Inform

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Design of Experiments (DoE) and Process Optimization. A Review of Recent Publications

Cited by 418 publications

References 96 publications

Uniform Fractional Factorial Design Tables for Energy Piles With Maximum Thermal Conductance

Uniform Fractional Factorial Design Tables for Energy Piles With Maximum Thermal Conductance

Beyond Organometallic Flow Chemistry: The Principles Behind the Use of Continuous-Flow Reactors for Synthesis

The Application of Advanced Design of Experiments for the Efficient Development of Chemical Processes

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