Journal of Fundamentals of Renewable Energy and Applications
Open Access

A Multi-Bed Production Reactor for Processing Renewable Diesel by Hydro

Shen Jovel^{* *}Correspondence: Shen Jovel, Department of Environmental Science, University of Oxford, Oxford, United Kingdom, Email:

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Description

Innovative technologies are very important because of the growing demand for renewable energy for sustainable hydro processing of renewable diesel. Renewable diesel, derived from biomass feedstocks or waste fats. It is used as an alternative to conventional fossil fuels, presenting lower greenhouse gas emissions and improved environmental sustainability. Hydro processing is a main technique that involves in the removal of impurities and saturation of unsaturated hydrocarbons, yielding a cleaner, high-quality diesel substitute [1].

However, traditional hydro processing methods has low conversion rates, catalyst deactivation and intricate separation processes. The proposed multi-bed manufacturing reactor system employs a series of interconnected catalytic beds. Each bed can be optimized for specific reactions within the hydro processing pathway, thereby enhancing overall conversion efficiency and mitigating catalyst deterioration. The difficulty in constructing and optimizing vegetable oil hydro treating reactors stems from the need to describe many phenomena such as mass and heat transfer, hydrogen consumption, pressure drop or a convoluted network of highly exothermic reactions. The purpose of this research is to use modelling and simulation tools to examine the behavior of a vegetable oil hydro processing unit in a commercial setting. To fully describe the three-phase system, a commercialscale reactor model with multiple catalysts beds and inter-bed quench gas the injections was built, accounting for heat and mass transfer between phases, the system's dynamic response, shifts in gas phase velocity and intraparticle consequences. Quench gas injection procedures were presented using dynamic reactor simulations to manage the reactor's temperature profile and yield the desired products [2].

The simulation findings showed that the feed inlet temperature selection has a significant impact on reactor overheating and quench injections must begin as soon as the reactant stream enters the inter-bed quench zone to stabilize reactor temperature more quickly during start-up. Furthermore, the lengths of the catalyst beds must be regulated so that the heat created by chemical reactions is dispersed evenly across the reactor [3,4].

It can quickly leads to increase in temperatures and generates hotspots that modify reaction product yields, enhance hydrogen consumption and catalytic bed's integrity. It maintains product quality and yield at desirable levels and avoiding forced plant shutdowns through effective temperature control. Because there is no heat removal or addition through the reactor walls, maintaining a nearly constant temperature profile around the catalytic bed is difficult in industrial reactors. Temperature control in hydro processing reactors is accomplished by splitting the overall catalytic bed volume into tiny beds divided by quench zones that enable mixing of the previous catalytic bed's hot gasliquid effluent with a quench gas stream. As a result, the intermediate product of the stream reaches the following bed at a temperature that is lower [5,6].

Commercial hydro processing units need strong mathematical models capable of investigating the dynamic response to varied conditions of operation, feedstock type, and the effect of quenching on reactor behavior. Only a few reactor models have been constructed for the hydro processing of environmentally friendly feedstocks, and the majority of these describe the reactor under steady-state circumstances. Dynamic reactor systems for sources of renewable energy hydro processing have received some attention. This unit's modelling and simulation were based on a mathematical framework that had previously been validated with experimental data gathered at a laboratory scale. The proposed model's major application was to develop techniques for controlling the dynamic reactor temperature distribution with the addition of gas quench zones between catalytic beds [7].

References

1. Carlson CL, Adriano DC. Environmental impacts of coal combustion residues. J Environ Qual. 1993;(2):227-47.

   [Crossref] [Google Scholar]

2. Chang SE, Stone J, Demes K, Piscitelli M. Consequences of oil spills: a review and framework for informing planning. Ecol Soc. 2014;19(2).

   [Crossref] [Google Scholar]

3. Oyekunle DT, Oyekunle DO. Biodiesel production from yellow oleander seed oil via heterogeneous catalyst: performance evaluation of minitab response surface methodology and artificial neural network. J Mater Environ Sci. 2018;9(8):2468-77.

   [Google Scholar]

4. Oyekunle DT. Analysis of the chemical composition of the essential oil extracted from Thevetia peruviana seeds using gas chromatography analysis. Am J Eng Res. 2017;6(10):51-5.

   [Google Scholar]

5. Temitayo OD. A solid mineral (limestone) as a potential catalyst for biodiesel production from yellow oleander oil (Thevetia peruviana). CARD Int J Eng Emerg Sci Discov. 2017;2(3):113-27.

   [Google Scholar]

6. Goffman VG, Sleptsov VV, Kulikov SN. Synthesis of modified potassium polytitanates for supercapacitor structures. Russ. Eng. Res. 2019;39:137-40.

   [Crossref] [Google Scholar]

7. Miwa TK. Structural determination and uses of jojoba oil. J. Am. Oil Chem. Soc. 1984;61(2):407-10.

   [Crossref] [Google Scholar]