Jose Horacio Reversat
Bio: Jose Horacio Reversat is an academic researcher from National University of Misiones. The author has contributed to research in topics: Fault (power engineering) & Spectral density. The author has an hindex of 4, co-authored 5 publications receiving 34 citations.
TL;DR: In this paper, a case study of an aviary industry region of southern Brazil, where is evaluated the technical and economic characteristics of power generation using biomass obtained from poultry litter, is presented.
Abstract: This work presents study details of a biomass based electricity generation project. The biomass used was industrial poultry litter. The objective of the work is to contribute to the research of poultry waste use in real life applications. In this sense, a case study is presented. The case study is an aviary industry region of southern Brazil, where is evaluated the technical and economic characteristics of power generation using biomass obtained from poultry litter. Still, it is highlighted the large energy potential and the high poultry litter production in the region, which translates into a important source of raw material for electricity generation, currently not highly explored in Brazil.
••22 Jul 2012
TL;DR: In this article, the authors proposed an adaptive relaying scheme for percentage differential protection of three-phase power transformers using discrete wavelet transform to extract transitory features of the differential current signal, which presents the advantage of having an adaptive threshold value.
Abstract: Power transformer protection is a technical and economic task that considers initial investments, operating costs and efficiency. In this context, this paper presents an adaptive relaying scheme for percentage differential protection of three-phase power transformers. The proposed formulation uses discrete wavelet transform to extract transitory features of the differential current signal, which presents the advantage of having an adaptive threshold value. The spectral energy of the low frequency wavelet coefficient is calculated and the change in this energy is used as decision criteria to produce the Trip/Restrain signal relay and distinguish internal faults from transient inrush currents. The proposed algorithm was implemented on MATLAB® environment and had its performance evaluated through simulation of several transient events using ATP software. Test results show that the wavelet transform can be efficiently used to identify fault conditions in power transformers making the proposed differential protection approach highly reliable, fast and accurate.
TL;DR: Computer simulations performed with MATLAB® software were used to verify the mathematical model of the brushless self-excited three-phase synchronous generator and the achieved results showed similar behavior with experimental values.
Abstract: This paper presents the main features of design, construction, performance analyses and experimental studies of a brushless self-excited three-phase synchronous generator. The basic construction, principle of operation, and exciting characteristics are described. In proposed machine the rotor winding is shorted through diodes and the self-excitation is reached by a slip between rotor and stator winding built with different pole numbers. Computer simulations performed with MATLAB® software were used to verify the mathematical model of the brushless self-excited synchronous generator and the achieved results showed similar behavior with experimental values.
07 May 2019
TL;DR: This chapter presents a review on main application of wavelet transform in electric power systems, which has received great importance in the last years on the power system analysis because the multi-resolution analysis presents proprieties good for the transient signal analysis.
Abstract: The wavelet transform has received great importance in the last years on the power system analysis because the multi-resolution analysis presents proprieties good for the transient signal analysis. This chapter presents a review on main application of wavelet transform in electric power systems. The study areas have been classified as power system protection, power quality disturbances, power system transient, partial discharge, load forecasting, faults detection, and power system measurement. The areas in which more works have been developed are the power quality and protections field, where both cover 51% of the articles analyzed.
TL;DR: In this article, the authors evaluate Brazil's biomass potential to 2030, and analyze the levels of resource that may be available to export, finding that Brazil has extensive biomass resources that are potentially sufficient to both balance Brazilian total primary energy demand by 2030 and for Brazil to increasingly become a major exporter of resource for energy end uses.
Abstract: Based on the general acceptance that greenhouse gases from biomass can provide a low carbon energy source, bioenergy pathways are being increasingly included in many countries renewable energy and emission reduction strategies. As a result demand for biomass is rising fast with several regions forecast to encounter major resource stresses over the coming decades. The bioenergy strategies of many countries rely heavily on future imported resource to balance their bioenergy resource demands. Applying a Biomass Resource Model to evaluate and forecast the types and potential availability of different categories of biomass resources from Brazil – a case study of a country with extensive biomass resources and export potential. This research evaluates Brazil's biomass potential to 2030, and analyses the levels of resource that may be available to export. The research finds that Brazil has extensive biomass resources that are potentially sufficient to both balance Brazilian total primary energy demand by 2030 and for Brazil to increasingly become a major exporter of resource for energy end uses. The paper also discusses the potential impact for global biomass trade, if countries such as Brazil were to adopt energy strategies that resulted in greater domestic use of their available biomass. The research's analysis shows that if the Brazilian Government were to adopt strategies to utilise a greater proportion of its resource for domestic energy, Brazil could export up to >25.8% less biomass by 2030 compared to forecast export levels based on Brazil's current policy framework.
TL;DR: The findings indicate that direct land application of chicken litter could be harming animal, human, and environmental health.
Abstract: Chicken litter application on land as an organic fertilizer is the cheapest and most environmentally safe method of disposing of the volume generated from the rapidly expanding poultry industry worldwide. However, little is known about the safety of chicken litter for land application and general release into the environment. Bridging this knowledge gap is crucial for maximizing the benefits of chicken litter as an organic fertilizer and mitigating negative impacts on human and environmental health. The key safety concerns of chicken litter are its contamination with pathogens, including bacteria, fungi, helminthes, parasitic protozoa, and viruses; antibiotics and antibiotic-resistant genes; growth hormones such as egg and meat boosters; heavy metals; and pesticides. Despite the paucity of literature about chicken litter safety for land application, the existing information was scattered and disjointed in various sources, thus making them not easily accessible and difficult to interpret. We consolidated scattered pieces of information about known contaminants found in chicken litter that are of potential risk to human, animal, and environmental health and how they are spread. This review tested the hypothesis that in its current form, chicken litter does not meet the minimum standards for application as organic fertilizer. The review entails a meta-analysis of technical reports, conference proceedings, peer-reviewed journal articles, and internet texts. Our findings indicate that direct land application of chicken litter could be harming animal, human, and environmental health. For example, counts of pathogenic strains of Eschericia coli (105–1010 CFU g−1) and Coliform bacteria (106–108 CFU g−1) exceeded the maximum permissible limits (MPLs) for land application. In Australia, 100% of broiler litter tested was contaminated with Actinobacillus and re-used broiler litter was more contaminated with Salmonella than non-re-used broiler litter. Similarly, in the US, all (100%) broiler litter was contaminated with Eschericia coli containing genes resistant to over seven antibiotics, particularly amoxicillin, ceftiofur, tetracycline, and sulfonamide. Chicken litter is also contaminated with a vast array of antibiotics and heavy metals. There are no standards set specifically for chicken litter for most of its known contaminants. Even where standards exist for related products such as compost, there is wide variation across countries and bodies mandated to set standards for safe disposal of organic wastes. More rigorous studies are needed to ascertain the level of contamination in chicken litter from both broilers and layers, especially in developing countries where there is hardly any data; set standards for all the contaminants; and standardize these standards across all agencies, for safe disposal of chicken litter on land.
TL;DR: The statistical analysis revealed that the proposed DWT-PSO-RBFNN method performed better based on MAPE, MAD, and RMSE emphasizing its great potential.
Abstract: Availability of electrical energy affects many facets of an entire economy of a country. This has made short-term electrical load forecasting an important area in recent years for policy makers and academic researchers. However, it has been found that the actual load series exhibit some complex behaviours which are often characterised by nonlinearity, nonstationarity, and temporal variations. In this study, a three-level hybrid ensemble short-term load forecasting method consisting of Discrete Wavelet Transform (DWT), Particle Swarm Optimization (PSO), and Radial Basis Function Neural Network (RBFNN) is proposed. The DWT is applied to decompose the data to get a well-behaved requisite series for forecasting since the data becomes stable before using PSO. PSO is used to obtain the required optimal adjustable parameters of the RBFNN for the forecasting. The proposed hybrid ensemble method (DWT-PSO-RBFNN) was evaluated using Ghana Grid Company daily average demand data from 1 st December 2018 to 30th November 2019. The DWT-PSO-RBFNN approach was compared with three other DWT coupling methods namely RBFNN, Backpropagation Neural Network (BPNN), and Self Adaptive Differential Evolution – Extreme Learning Machine (SaDE-ELM). The statistical analysis revealed that the proposed method performed better based on MAPE, MAD, and RMSE emphasizing its great potential.
TL;DR: In this paper, the theoretical and technical energy potential of chicken manure in Poland was determined. But the results of proximate and ultimate analyses confirm a considerable effect of the rearing system on the energy parameters of the manure.
Abstract: Animal waste, including chicken manure, is a category of biomass considered for application in the energy industry. Poland is leading poultry producer in Europe, with a chicken population assessed at over 176 million animals. This paper aims to determine the theoretical and technical energy potential of chicken manure in Poland. The volume of chicken manure was assessed as 4.49 million tons per year considering three particular poultry rearing systems. The physicochemical properties of examined manure specimens indicate considerable conformity with the data reported in the literature. The results of proximate and ultimate analyses confirm a considerable effect of the rearing system on the energy parameters of the manure. The heating value of the chicken manure was calculated for the high moisture material in the condition as received from the farms. The value of annual theoretical energy potential in Poland was found to be equal to around 40.38 PJ. Annual technical potential of chicken biomass determined for four different energy conversion paths occurred significantly smaller then theoretical and has the value from 9.01 PJ to 27.3 PJ. The bigger energy degradation was found for heat and electricity production via anaerobic digestion path, while fluidized bed combustion occurred the most efficient scenario.
TL;DR: In this article, the status and potential of utilizing biomass as an energy source in Jordan was investigated, and two scenarios were investigated: biogas production and thermal treatment, where the amount of waste and residue is estimated to be 6.680 million tons for the year 2011.
Abstract: This work investigates the status and potential of utilizing biomass as an energy source in Jordan. The amount of waste and residue is estimated to be 6.680 million tons for the year 2011. Two scenarios were investigated: biogas production and thermal treatment. The amount of biogas that can be produced from various biomass sources in Jordan is estimated at 428 MCM. The equivalent annual power production is estimated at 698.1 GW h. This is equivalent to about 5.09% of the consumed electricity (13,535 GW h) and 39.65% of the imported electricity in 2011. The alternative scenario of thermal treatment was investigated. The total theoretical thermal energy that can be obtained assuming 70% conversion efficiency is equivalent to 779 thousand toe (5.33 million barrels of crude oil) which amounts to 10.2% of the total primary energy consumed in 2011. Due to biomass collection and recovery challenges, the energy availability factor varies for the different resources. Hence, contribution of the different biomass resources can significantly vary.