Optimizing the conditions for hydrothermal liquefaction of barley straw for bio-crude oil production using response surface methodology

2018 ◽  
Vol 630 ◽  
pp. 560-569 ◽  
Author(s):  
Zhe Zhu ◽  
Lasse Rosendahl ◽  
Saqib Sohail Toor ◽  
Guanyi Chen
Keyword(s):  
Response Surface Methodology ◽  
Crude Oil ◽  
Response Surface ◽  
Oil Production ◽  
Hydrothermal Liquefaction ◽  
Barley Straw ◽  
Crude Oil Production

scholarly journals Feasibility of Utilizing Wastewaters for Large-Scale Microalgal Cultivation and Biofuel Productions Using Hydrothermal Liquefaction Technique: A Comprehensive Review

2021 ◽  
Vol 9 ◽  
Author(s):  
Sourav Kumar Bagchi ◽  
Reeza Patnaik ◽  
Ramasare Prasad
Keyword(s):  
Crude Oil ◽  
Algal Biomass ◽  
Large Scale ◽  
Oil Production ◽  
Review Article ◽  
Hydrothermal Liquefaction ◽  
Production Costs ◽  
Biodiesel Production ◽  
Comprehensive Review ◽  
Crude Oil Production

The two major bottlenecks faced during microalgal biofuel production are, (a) higher medium cost for algal cultivation, and (b) cost-intensive and time consuming oil extraction techniques. In an effort to address these issues in the large scale set-ups, this comprehensive review article has been systematically designed and drafted to critically analyze the recent scientific reports that demonstrate the feasibility of microalgae cultivation using wastewaters in outdoor raceway ponds in the first part of the manuscript. The second part describes the possibility of bio-crude oil production directly from wet algal biomass, bypassing the energy intensive and time consuming processes like dewatering, drying and solvents utilization for biodiesel production. It is already known that microalgal drying can alone account for ∼30% of the total production costs of algal biomass to biodiesel. Therefore, this article focuses on bio-crude oil production using the hydrothermal liquefaction (HTL) process that converts the wet microalgal biomass directly to bio-crude in a rapid time period. The main product of the process, i.e., bio-crude oil comprises of C16-C20 hydrocarbons with a reported yield of 50–65 (wt%). Besides elucidating the unique advantages of the HTL technique for the large scale biomass processing, this review article also highlights the major challenges of HTL process such as update, and purification of HTL derived bio-crude oil with special emphasis on deoxygenation, and denitrogenation problems. This state of art review article is a pragmatic analysis of several published reports related to algal crude-oil production using HTL technique and a guide towards a new approach through collaboration of industrial wastewater bioremediation with rapid one-step bio-crude oil production from chlorophycean microalgae.

scholarly journals Optimization to Hydrothermal Liquefaction of Low Lipid Content Microalgae Spirulina sp. Using Response Surface Methodology

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Xuan Wei ◽  
Dengfei Jie
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Lipid Content ◽  
Oil Production ◽  
Hydrothermal Liquefaction ◽  
Holding Time ◽  
Optimum Conditions ◽  
Bio Oil ◽  
Contour Plots ◽  
Central Composite

The production and nature of the biocrude obtained from Spirulina sp. by hydrothermal liquefaction (HTL) technology is focused in this investigation. Our aim is to evaluate the interaction of different factors on the bio-oil production through HTL using microalgae that contains relatively low lipid content and high protein. Optimization of three key parameters—concentration (mass of algae per mass of solvent), reaction temperature, and holding time—was carried out by response surface methodology (RSM). In this work, we used central composite design to conduct the experiment process. Graphical response surface and contour plots were used to locate the optimum point. The final results showed that the optimum concentration, temperature, and holding time were 10.5%, 357°C, and 37 min, respectively. Under the optimum conditions established, yield of the biocrude (41.6 ± 2.2%) was experimentally obtained using the fresh microalgae. This study showed the potential of bio-oil production of Spirulina sp. by HTL technology, but it still needs more improvement of the biocrude for utilization.

Hydrothermal liquefaction of Cyanophyta: Evaluation of potential bio-crude oil production and component analysis

2015 ◽  
Vol 11 ◽  
pp. 242-247 ◽  
Author(s):  
Yang Guo ◽  
Wenhan Song ◽  
Jiaming Lu ◽  
Qiran Ma ◽  
Donghai Xu ◽  
...  
Keyword(s):  
Crude Oil ◽  
Oil Production ◽  
Component Analysis ◽  
Hydrothermal Liquefaction ◽  
Crude Oil Production

Bio-crude oil production using catalytic hydrothermal liquefaction (HTL) from native microalgae harvested by ozone-flotation

Fuel ◽  
2019 ◽  
Vol 241 ◽  
pp. 255-263 ◽  
Author(s):  
I. Nava Bravo ◽  
S.B. Velásquez-Orta ◽  
R. Cuevas-García ◽  
I. Monje-Ramírez ◽  
A. Harvey ◽  
...  
Keyword(s):  
Crude Oil ◽  
Oil Production ◽  
Hydrothermal Liquefaction ◽  
Crude Oil Production

Creation of the ‘Internet of things’ in crude oil production

2017 ◽  
Vol 10 ◽  
pp. 120-124
Author(s):  
R.S. Khisamov ◽  
◽  
R.A. Gabdrahmanov ◽  
A.P. Bespalov ◽  
V.V. Zubarev ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Crude Oil ◽  
Oil Production ◽  
The Internet ◽  
Crude Oil Production ◽  
The Internet Of Things

Demulsification of a Water-in-crude Oil Emulsion with a Corn Oil BasedDemulsifier using the Response Surface Methodology: Modelling and Optimization

2021 ◽  
Vol 14 ◽  
Author(s):  
Abed Saad ◽  
Nour Abdurahman ◽  
Rosli Mohd Yunus
Keyword(s):  
Response Surface Methodology ◽  
Crude Oil ◽  
Water Content ◽  
Response Surface ◽  
Separation Efficiency ◽  
Corn Oil ◽  
Oil Emulsion ◽  
Optimal Values ◽  
Input Variables ◽  
Oil Emulsions

: In this study, the Sany-glass test was used to evaluate the performance of a new surfactant prepared from corn oil as a demulsifier for crude oil emulsions. Central composite design (CCD), based on the response surface methodology (RSM), was used to investigate the effect of four variables, including demulsifier dosage, water content, temperature, and pH, on the efficiency of water removal from the emulsion. As well, analysis of variance was applied to examine the precision of the CCD mathematical model. The results indicate that demulsifier dose and emulsion pH are two significant parameters determining demulsification. The maximum separation efficiency of 96% was attained at an alkaline pH and with 3500 ppm demulsifier. According to the RSM analysis, the optimal values for the input variables are 40% water content, 3500 ppm demulsifier, 60 °C, and pH 8.

scholarly journals Classical and machine learning modeling of crude oil production in Nigeria: Identification of an eminent model for application

2021 ◽  
Vol 7 ◽  
pp. 3497-3505
Author(s):  
Chukwudi Paul Obite ◽  
Angela Chukwu ◽  
Desmond Chekwube Bartholomew ◽  
Ugochinyere Ihuoma Nwosu ◽  
Gladys Ezenwanyi Esiaba
Keyword(s):  
Machine Learning ◽  
Crude Oil ◽  
Oil Production ◽  
Crude Oil Production
Sign in / Sign up

Export Citation Format

Share Document