by Alpha Chukwumela Ajie  , Mohammed Moore Ojapah  and Endurance Ogheneruona Diemuodeke

Received: 07 February 2023;  Published: 20 June 2023;  doi: 10.21926/jept.2302020

With their higher sustainability index, biofuels, environmentally-friendly and renewable nature is a viable alternative energy source in the transportation sector. This study presents the effect of waste cooking oil (WCO) biodiesel on performance, combustion, and emission from a compression ignition engine. The biodiesel was blended with diesel in varying proportions of 5% biodiesel and 95% diesel (designated as B5), 10% biodiesel in diesel (B10), 15% biodiesel in diesel (B15), 20% biodiesel in diesel (B20), 50% bi [...]

by C. Shah Kabir

Received: 28 March 2023;  Published: 12 June 2023;  doi: 10.21926/jept.2302019

Investigations on two-phase gas/liquid flow in pipes have been under study for nearly six decades. These studies have significantly assisted in managing fluid flow in the wellbore and surface networks, leading to the separation of phases and transmission of oil and gas into the market. This study summarizes some of the main lessons learned in flow through wellbores. Besides understanding some of the fundamental principles, we focused on the practical items of interest: Conventional production scenarios for oil and [...]

by Gerasimos Rigatos  , Masoud Abbaszadeh  , Bilal Sari  and Pierluigi Siano

Received: 07 December 2022;  Published: 11 May 2023;  doi: 10.21926/jept.2302018

The article aims at optimizing six-phase induction generator-based renewable energy systems (6-phase IGs or dual star induction generators) through a novel nonlinear optimal control method. Six-phase induction generators appear to be advantageous compared to three-phase synchronous or asynchronous power generators, in terms of fault tolerance and improved power generation rates. The dynamic model of the six-phase induction generator is first written in a nonlinear and multivariable state-space form. It is proven th [...]

by Mahmoud F. Elmorshedy  , Abualkasim Bakeer  and Dhafer Almakhles

Received: 14 February 2023;  Published: 09 May 2023;  doi: 10.21926/jept.2302017

The special design of linear induction machines (LIMs) leads to adverse effects caused by the longitudinal and end effects. These effects make the thrust control of the LIMs most attractive because its value decreases sharply with the speed increase. Thus, finite-state model predictive control (FS-MPC) is developed to increase the performance of the LIMs. However, the variable switching frequency is the main drawback of this control. Consequently, the main objectives of this paper are to propose FS-MPC with a const [...]

by Regiani Aparecida de Almeida  , Ricardo Vicente de Paula Rezende  , Flavia Aparecida Reitz Cardoso  and Lucio Cardozo Filho

Received: 17 December 2022;  Published: 18 April 2023;  doi: 10.21926/jept.2302016

In this work with CFD simulations, the evaluation of the supercritical anti-solvent (SAS) process for producing nanoparticles from an expanded solution of ethanol/solute in carbon dioxide is reported. The influence of the solution and antisolvent flow rates on mean particle size, the flow dynamic, and the supercritical mixture's jet velocity must be well established in the literature and analyzed. The high flow rate of the anti-solvent resulted in increased mean particle sizes for all studied cases. At the lowest f [...]

by Aniebiet D. Udoh  , Ogheneruona E. Diemuodeke  , Mohammed M. Ojapah  , Fidelis I. Abam  and Joseph C. Ofodu

Received: 29 December 2022;  Published: 13 April 2023;  doi: 10.21926/jept.2302015

The quest to decarbonize the energy space to avert the negative climate change consequences calls for using low/zero-carbon energy conversion technologies in the energy generation space. The Organic Rankine Cycle is a low/zero-carbon energy conversion technology for recovering waste heat from low to medium-temperature heat sources and for biomass conversion. Therefore, this paper presents the thermodynamic optimization, with an artificial bee colony algorithm, of different ORC configurations, including simple organ [...]

by Jeff Callaghan

Received: 19 October 2022;  Published: 07 April 2023;  doi: 10.21926/jept.2302014

During February 2022 major riverine flooding occurred in an area which has the fastest population growth in Australia. This extended from the Mary River in Southeast Queensland (SEQ) to the Clarence River in Northeast NSW (NENSW). Two centres within this area were devastated by floods unprecedented in living memory. One was the Brisbane Metropolitan area where all-time record daily rainfall in the suburbs flooded creeks. This creek flooding was much worse than that caused by the Brisbane River itself where Wivenhoe [...]

by Ibikunle Olalekan OGUNDARI

Received: 08 September 2022;  Published: 03 April 2023;  doi: 10.21926/jept.2302013

This study examined the techno-economic specifications for a Waste-to-Suburban Cooking Energy critical infrastructure project in Southwestern Nigeria. Technological and project economic data for the W2E project were obtained from strategic sources and energy project foresight/analysis framework used. The results showed residential upgraded biogas-for-cooking demand of approximately 10,243 m3/month, and municipal solid waste (MSW) input of approximately 80 tonnes/month. The planned biogas plant had estimated costs o [...]

by Gerald Jandl  , Rainer Horn  , Richard Schroeder  , Kai-Uwe Eckhardt  and Peter Leinweber

Received: 23 November 2022;  Published: 22 March 2023;  doi: 10.21926/jept.2301012

The increasing number of biogas plants with various digested organic materials and output of digestates calls for more detailed investigations of their suitability as soil amendments. In a trial in Northern Germany two replicate plots each were treated with fresh or prolonged fermented digestate to investigate the influence of digestates on the composition of soil organic matter (SOM). The relative proportions of relevant SOM compound classes were determined by pyrolysis-field ionization mass spectrometry (Py-FIMS) [...]

by Silvio Simani  , Saverio Farsoni  and Paolo Castaldi

Received: 02 February 2023;  Published: 21 March 2023;  doi: 10.21926/jept.2301011

The installed wind power capacity is growing worldwide. Remote condition monitoring of wind turbines is employed to achieve higher uptimes and lower maintenance costs. Machine learning models can detect developing damages in wind turbines. Therefore, this paper demonstrates that cross–turbine transfer learning can drastically improve the accuracy of fault detection models in turbines with scarce SCADA data. In particular, it shows that combining the knowledge from turbines with scarce and turbines with plentiful da [...]