Taqiy Eddine Boukelia | Mentouri Constantine University (original) (raw)

Papers by Taqiy Eddine Boukelia

Journal of the Brazilian Society of Mechanical Sciences and Engineering, Mar 12, 2024

In the original publication of the article, the name of the first author was published incorrectl... more In the original publication of the article, the name of the first author was published incorrectly as "Sabar Boulhidja". However, the correct name should read "Saber Boulhidja". The original article has been corrected.

Journal of the Brazilian Society of Mechanical Sciences and Engineering, Feb 21, 2024

Journal of Energy Storage, Jan 31, 2024

Energy Engineering

Concentrating Solar Power (CSP) plants offer a promising way to generate low-emission energy. How... more Concentrating Solar Power (CSP) plants offer a promising way to generate low-emission energy. However, these plants face challenges such as reduced sunlight during winter and cloudy days, despite being located in high solar radiation areas. Furthermore, their dispatch capacities and yields can be affected by high electricity consumption, particularly at night. The present work aims to develop an off-design model that evaluates the hourly and annual performances of a parabolic trough power plant (PTPP) equipped with a waste heat recovery system. The study aims to compare the performances of this new layout with those of the conventional Andasol 1 plant, with the aim of assessing the improvements achieved in the new design. Based on the results, it can be concluded that the new layout has increased the annual generated power to almost 183 GWh (an increase of about 7.60% is achieved compared to the Andasol 1 layout that generates 169 GWh annually). Additionally, the proposed installation has achieved an efficiency of 20.55%, which represents a 7.87% increase compared to the previous design (19.05%). The Levelized Cost of Electricity (LCOE) of the new layout has been reduced by more than 5.8% compared to the Andasol 1 plant. Specifically, it has decreased from 13.11 to 12.35 c/kWh. This reduction in LCOE highlights the improved cost-effectiveness of the new layout, making it a more economically viable option for generating electricity compared to the conventional Andasol 1 plant.

Hybrid photovoltaic thermal PVT solar collectors are a good option to produce electrical power an... more Hybrid photovoltaic thermal PVT solar collectors are a good option to produce electrical power and thermal energy simultaneously from solar radiation, where the transfer fluid circulating in this system works as a coolant, and at once, it gains additional heat to produce heat. This study is based on a numerical investigation, and aims to improve the performances of a hybrid photovoltaic thermal (PVT)collectorby using porous media, and taking into account the air buoyancy force effect (i.e., natural convection effect).For this purpose, the impacts of panel tilt angle (α), Richardson number (Ri), thickness of the porous layer (Ep) and Darcy number (Da) on the PVT system performances including its velocity contours, thermal field, thermal and electrical efficiencies are examined. The obtained results showed that by taking into account the buoyancy force, an enhancement in both electrical and thermal efficiencies is observed which can reach up 9.88% and 10% respectively if the PVT is er...

Apple Academic Press eBooks, Mar 16, 2017

Solid waste holds the greatest potential as biomass source in Libya. The rapid expansion of indus... more Solid waste holds the greatest potential as biomass source in Libya. The rapid expansion of industry has led to increased urbanization and growing population. These factors have dramatically increased the amount of MSW (municipal solid waste) generated in Libya. However, issues related to environmentally sound MSW management-including waste decrease and clearance-have not been addressed sufficiently. This study presents an overview on solid waste that can be used as a source of bioenergy in Libya including MSW, ISW (industrial solid waste), and HSW (health care wastes) as biomass sources. The management of solid waste and valorization is based on an understanding of MSW's composition and physicochemical characteristics. The results show that organic matter represents 59% of waste, followed by paper-cardboard 12%, plastic 8%, miscellaneous 8%, metals 7%, glass 4%, and wood 2%. The technology of WTE (waste-to-energy) incineration, which recovers energy from discarded MSW and produces electricity and/or steam for heating, is recognized as a renewable source of energy and is playing an increasingly important role in MSW management in Libya. This paper provides an overview of this technology, including both its conversion options and its useful products (e.g., electricity, heat, greenhouse gas emissions). The WTE benefits and the major challenges in expanding WTE incineration in Libya are discussed. It also demonstrates that Libya could become an exporter of hydrogen in lieu of oil and natural gas.

Environmental Progress & Sustainable Energy

This article presents both numerical and experimental analyses investigating the impact of tower ... more This article presents both numerical and experimental analyses investigating the impact of tower shape on the performance of a solar chimney power plant (SCPP). The study explores several cases through experiments and computational fluid dynamics (CFD) modeling. Specifically, variations in the tower's outlet section and overall shape were examined under different solar radiation conditions. The shape of the tower was found to have a significant influence on various performance parameters of the studied SCPP. These include the mass flow rate, velocity, temperature rise in the collector, pressure in the tower, as well as power production, and overall efficiency. The obtained results indicate that when the tower's outlet section is twice the size of the inlet section, all of these parameters experience substantial improvements. For a configuration similar to that of the Manzanares prototype, the generated power increased from 50 to 56 kW, representing an enhancement of about 12...

Hybrid solar tower power plants which use high concentration optics and high temperature air rece... more Hybrid solar tower power plants which use high concentration optics and high temperature air receivers are one of the most important candidates to provide a major share of the clean and renewable energy needed in the future.Computer model and simulation capability are developed in this study to evaluate the performance of a new solar tower power plant with a capacity of 20.5 MWe. The numerical simulation of gas turbine, solar field and tower receiver was performed by using a FORTRAN code based on ray tracing technique (Monte Carlo) and TRNSYS 16 software including TEES and STEC.03 libraries. All thermodynamic parameters of the installation such as pressure ratio, air flow, fuel consumption and concentrated solar power introduced are discussed. This study has for main objective to calculate the energetic and exergetic efficiencies of hybrid and solar electric cycles for two operating systems of the installation, first without regenerator then with regenerator and evaluate their feasibility in the southwestern Algerian area.

Renewable Energy, Sep 1, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

The use of concentrating solar collectors which are used in solar thermal power plant and concent... more The use of concentrating solar collectors which are used in solar thermal power plant and concentrated photovoltaic systems implies that these systems only work with the direct normal irradiance (DNI). Unfortunately, DNI ground-based measurements are rarely available at the location of interest, this lack of DNI data contrasts with the availability of global and diffuse horizontal irradiance data (GHI, DHI). Nowadays, several spatial databases that estimate DNI have been developed; however, these databases present uncertainty and provide different values of DNI. In this present study, a proposed methodology for estimating the hourly, monthly mean daily, monthly and annual direct normal irradiance DNI in the presence or absence of measured global and diffuse horizontal irradiances. When applying the proposed method for calculation of DNI for three Algerian ground stations (Algiers, Ghardaia, and Tamanrasset), we obtained better performances than those of the five spatial databases' data, especially for the monthly values. The methodology seems to give a very appropriate way for management and exploitation of DNI resources for the design and analysis of concentrating photovoltaic and thermal systems; and can be applicable to other worldwide locations using empirical equations with new correlation coefficients for estimating direct normal irradiance.

Journal of energy systems, Sep 30, 2018

Forecasting future electricity demand is one of the most important areas in electrical engineerin... more Forecasting future electricity demand is one of the most important areas in electrical engineering, due to its vital role for secure and profitable operations in power systems. In recent years, the advent of new concepts and technologies such as deregulation of electricity market, smart grids, electric cars and renewable energy integration have introduced great challenges for power system managers and consequently, the field of electric load forecasting becomes more and more important. This paper describes the use of an adaptive neuro-fuzzy inference system approach for daily load curve prediction. The methodology we propose uses univariate modeling to recognize the daily and weekly patterns of the electric load time series as a basis for the forecast. Results from real-world case study based on the electricity demand data in France are presented in order to illustrate the proficiency of the proposed approach. With an average mean absolute percentage error of 2.087%, the effectiveness of the proposed model is clearly revealed.

International Journal of Electrical Power & Energy Systems, May 1, 2016

Abstract This paper describes daily peak load forecasting using an adaptive hybrid two-stage meth... more Abstract This paper describes daily peak load forecasting using an adaptive hybrid two-stage methodology. Because the time series of electricity consumption is mainly influenced by seasonal effects, the double seasonal Holt–Winters exponential smoothing method is firstly used for next-day peak electricity demand forecasting. In the second stage, the secondary forecasting model is applied taking into account the benefits of Fuzzy c-means clustering; K-nearest neighbors algorithm; Wavelet packet decomposition; and Adaptive Neuro-Fuzzy Inference System, for further improvement in forecasting accuracy. The whole architecture of the proposed model will be presented and the results will be compared with neural networks and stand-alone adaptive neuro-fuzzy inference system based approaches by using a gathered data from the Algerian power system. The results show that: (1) the proposed methodology is the best among all the considered schemes, (2) the FKW-ANFIS has satisfactory performance in both normal and special daily conditions.

international journal of energy and environmental engineering, Aug 31, 2012

Due to the low total cost of production, Photovoltaic energy constitutes an important part of the... more Due to the low total cost of production, Photovoltaic energy constitutes an important part of the renewable energy installed in the world. However, photovoltaic energy is volatile in nature because it depends on weather conditions, which makes the integration, control and exploitation of this type of energy difficult for grid operators. In the traditional grid architecture, system operators have accumulated enough experience that enables them to determine how much operating reserves are required to maintain system reliability based on statistical tools. Still, with the introduction of renewable energy (wind and photovoltaic), the grid structure has changed, and to maintain grid stability, it is becoming fundamental to know renewable energy state and production that can be combined with other less variable and more predictable sources to satisfy the energy demand. Therefore, renewable energy forecasting is a straightforward way to integrate safely this kind of energy into the current electric grid, especially photovoltaic power forecasting, which is still at a relative infancy stage compared to wind power forecasting, which has reached a relatively mature stage. The goal of this work is to present, first, a short-term offline forecasting model that uses only in-situ (local) collected data. Also, the performances of several pure non-linear auto-regressive models are investigated against those of non-linear auto-regressive models with exogenous inputs. For this purpose, two well-known statistical learning techniques, namely Feed Forward Neural Network and Least Square Support Vector Regression, have been used. To test the performance of the models, the results obtained are compared with those of a benchmark model. In this paper, we used the persistent model as well as a multivariate polynomial regression model as benchmark.

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), May 6, 2022

Journal of Fundamental and Applied Sciences, May 10, 2016

The Parabolic trough solar collector is considered as one of the most proven, mature and commerci... more The Parabolic trough solar collector is considered as one of the most proven, mature and commercial concentrating solar systems implemented in arid and semi-arid regions for energy production. It focuses sunlight onto a solar receiver by using mirrors and is finally converted to a useful thermal energy by means of a heat transfer fluid. The aims of this study are (i) to develop a new methodology for simulation and performance evaluation of parabolic trough solar collector, in addition (ii) to compare the efficiencies of this system using two different fluids; thermic oil and molten solar salt. The validation of obtained results using this methodology shows a good agreement with those obtained by the experimental tests. Furthermore, this study favors the using of thermic oil as heat transfer fluid in the receiver instead of molten salt due to the high efficiency of the concentrator based on the first fluid in comparison to the second one.

Determination of hourly direct normal solar irradiance (DNI) received during an average day of ea... more Determination of hourly direct normal solar irradiance (DNI) received during an average day of each month is essential for calculating the solar concentrator performance throughout the day. DNI data provided by different databases, spatial or ground-based measurements. While the spatial databases are a useful tool in renewable energy applications, they present uncertainty; the ground-based measurement databases are rarely available at the location of interest because the reasons of high cost and maintenance problems especially for developing countries like Algeria. This lack of DNI data contrasts with the availability of global and diffuse horizontal irradiation data (Gm, DHI). In this study, as the first part of the work, a simplified methodology for estimation the hourly, monthly and annual direct normal irradiance DNI data using the monthly mean global and the diffuse horizontal irradiance (GEH, DHI) is presented. Secondly, the data of the modeled DNI in addition to NASA-SSE database are validated their uncertainties using nine statistical parameters, and by comparison with the measured data of three ground stations in Algeria (Algiers, Ghardaia and Tamanrasset).

International journal of energetica, Jun 30, 2021

Hybrid photovoltaic and thermal (PV/T) systems have been widely used for the combination of PV mo... more Hybrid photovoltaic and thermal (PV/T) systems have been widely used for the combination of PV modules and solar thermal collectors to generate both electrical energy and heat at the same time. In the present work, a numerical model has been developed to simulate the performances of a hybrid photovoltaic/thermal (PV/T) solar collector. Furthermore, a comparative study has been performed between the hybrid PV/T working with three conventional working fluids; air, water, and specified nanofluid (AL2O3+ water). The obtained results show that the use of the Alumina nanofluid is the best choice to increase the heat removal, and to improve the performances of the collector with the values of 73.28%, 10.37% and 99.21% for the thermal, electrical and global efficiency respectively. On the other hand, the PVT collector working with air as the primary fluid is the worst in terms of electrical, thermal, and global performances with the lowest values of 9.506 %, 41.55%, and 65.315% respectively.

Energy, Jun 1, 2020

Energy, Oct 1, 2021

Abstract Concentrating solar power plants can be a good choice for green power generation; nevert... more Abstract Concentrating solar power plants can be a good choice for green power generation; nevertheless, this technology has low financial profitability and energy dispatch capacities compared to those based on conventional fossil fuels. On the other side, hybridization of concentrating solar power with geothermal energy is a good option for the erection of large-scale power plants with high dispatch capacity and low investment cost, due to the large potential and geographical coincidence of geothermal resources with high solar irradiation areas. Thus, the main aim of the present paper is to investigate the hourly and annual performances of a new combined solar-geothermal power plant. This layout includes a bottoming binary geothermal power cycle that recovers the waste heat from a topping solar tower thermal power plant to generate power. In this process, both steam and organic turbines produce electrical power. By using this new design, the dispatch capacity and annual thermodynamic performances have been raised by more than 30% compared to the conventional solar tower plant. Furthermore, the increase in geothermal production well temperature will increase the dispatch capacity of this new hybrid plant up to 152 GWh annually, for a temperature of 95 °C.