Markov Chain Monte Carlo Analysis of the Variable-Volume Exothermic Model for a Continuously Stirred Tank Reactor

Muhirwa, Jean Pierre; Mbalawata, S. I.; Masanja, Verdiana Grace

doi:10.48084/etasr.3962

Cited by 5 publications

(2 citation statements)

References 50 publications

(52 reference statements)

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“…The initial values for the parameters are obtained from least squares estimates and the model parameters identifiability is mostly determined by the MCMC convergence. For the MCMC method, there are numerous graphical and statistical convergence tests [43] , [44] , [45] . The sum of squares was given by Eq.…”

Section: Parameter Identifiability By Mcmc Methodsmentioning

confidence: 99%

Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections

Paul¹,

Mbalawata²,

Mirau³

et al. 2023

Chaos, Solitons & Fractals

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Section: Parameter Identifiability By Mcmc Methodsmentioning

confidence: 99%

Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections

Paul¹,

Mbalawata²,

Mirau³

et al. 2023

Chaos, Solitons & Fractals

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“…Moreover, the use of fossil fuels in the generation of electricity contributes significantly to Greenhouse Gas (GHG) emissions, which contribute to climate change [2,3]. According to [4], utilizing renewable energy as an alternative energy source will reduce environmental problems, essentially GHG emissions and air pollution. Storage of energy is an important factor in wind turbine use.…”

Section: Introductionmentioning

confidence: 99%

Factory Test of a TP-100 Lithium-Ion Vision Battery System for Possible Implementation in Soweto, Johannesburg, South Africa

Sithole

Veeredhi

Sithebe

2023

Eng. Technol. Appl. Sci. Res.

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Until recently, lead-acid batteries were the go-to source for storing energy for UPS/Inverter applications. The most common types of batteries used in wind applications are Valve-Regulated Lead-Acid batteries (VLRAs). But, lead-acid batteries have drawbacks that make them risky and expensive to use in wind turbine applications. They are the element that is most likely to fail at the moment when they are most needed. It is hard enough to deploy and manage lead-acid batteries traditionally. But when VRLAs are used in remote facilities, there are some problems that increase the effort and the cost of using them. Currently, the Soweto Small Wind Turbine is incorporated with the Vertiv (Inverter) and VRLA battery type. TP 100 Vision lithium iron phosphate (LiFePO4) batteries offer substantial advantages. This battery system is ideal for both UPS/Inverters and energy storage systems, offering excellent compatibility and a secure, durable lifespan. Factory testing was carried out on the installation and testing of a TP 100 Vision battery to a Vertiv-type UPS at a South African company. A variable resistive load bank was added to the UPS output in order to test and evaluate the outcome. This paper presents the factory testing results and proposes the implementation of the TP100 Vision battery to a 500W Small Wind Turbine (SWT) in Soweto, Johannesburg, South Africa.

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A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering

et al. 2021

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Characterizing internal microscopic structures of porous media is of vital importance to simulate fluid and electric current flow. Compared to traditional rock mechanics and geophysical experiments, digital core and pore network modeling is attracting more interests as it can provide more details on rock microstructure with much less time needed. The axis extraction algorithm, which has been widely applied for pore network modeling, mainly consists of a reduction and burning algorithm. However, the commonly used methods in an axis extraction algorithm have the disadvantages of complex judgment conditions and relatively low operating efficiency, thus losing the practicality in application to large-scale pore structure simulation. In this paper, the updated algorithm proposed by Palágyi and Kuba was used to perform digital core and pore network modeling. Firstly, digital core was reconstructed by using the Markov Chain Monte Carlo (MCMC) method based on the binary images of a rock cutting plane taken from heavy oil reservoir sandstone. The digital core accuracy was verified by comparing porosity and autocorrelation function. Then, we extracted the central axis of the digital pore space and characterize structural parameters through geometric transformation technology and maximal sphere method. The obtained geometric parameters were further assigned to the corresponding nodes of pore and throat on the central axis of the constructed model. Moreover, the accuracy of the new developed pore network model was measured by comparing pore/throat parameters, curves of mercury injection, and oil-water relative permeability. The modeling results showed that the new developed method is generally effective for digital core and pore network simulation. Meanwhile, the more homogeneity of the rock, which means the stronger “representative” of binary map the rock cutting plane, the more accurate simulated results can be obtained.

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Markov Chain Monte Carlo Analysis of the Variable-Volume Exothermic Model for a Continuously Stirred Tank Reactor

Cited by 5 publications

References 50 publications

Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections

Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections

Factory Test of a TP-100 Lithium-Ion Vision Battery System for Possible Implementation in Soweto, Johannesburg, South Africa

A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering

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