Research Article
Renewable Energy Economics, Policies and Planning
Adewale George Adeniyi; Kingsley O. Iwuozor; Ebuka Chizitere Emenike; Comfort Adeyanju; Samuel Ogunniyi
Abstract
Polystyrene waste is a significant environmental problem, and recycling and repurposing it can reduce its impact on the environment. Chicken feather biochar, on the other hand, is a by-product of the poultry industry and can be repurposed to produce bio-composites. The goal of this work was to turn waste ...
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Polystyrene waste is a significant environmental problem, and recycling and repurposing it can reduce its impact on the environment. Chicken feather biochar, on the other hand, is a by-product of the poultry industry and can be repurposed to produce bio-composites. The goal of this work was to turn waste chicken feathers into biochar and then, create composites with the biochar acting as the filler and a polystyrene-based resin acting as the matrix. The biochar was prepared with the aid of a top-lit updraft reactor. Composites were fabricated using different mixing ratios of biochar (10-40%) and polystyrene resin. The composites were then analyzed using FTIR, SEM-EDX, and hardness tests. SEM examination demonstrated that the biochar was distributed unevenly throughout the matrix. The alterations and shifts in peak positions shown by FTIR measurement indicated that there was a chemical interaction between the matrix and the biochar. It also revealed the hydrophilic nature of the composite. Hardness test showed that 20% biochar concentration gave the optimum hardness property (139 HRB). The EDX result demonstrated that the matrix as well as the composites consisted majorly of carbon atoms. The results of this study indicate the potential of using chicken feather biochar as a filler material to improve the mechanical and microstructural properties of recycled polystyrene-based bio-composites. This approach can provide a sustainable and environmentally-friendly solution to repurpose waste materials from poultry and plastic industries.
Research Article
Advanced Energy Technologies
Mubarak A. Amoloye; Sulyman A. Abdulkareem; Adewale George Adeniyi
Abstract
The drive to move away from fossil fuels and related products has drawn significant attention to biomass and biomass-related products in recent times. This study reports the effect of three forest biomass sources namely acacia auriculiformis, terminalia randii, and delonix regia as combustion fuels in ...
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The drive to move away from fossil fuels and related products has drawn significant attention to biomass and biomass-related products in recent times. This study reports the effect of three forest biomass sources namely acacia auriculiformis, terminalia randii, and delonix regia as combustion fuels in a retort heated, low-temperature and top-lit updraft gasifier on biochars produced from two agricultural wastes: corn husk and corn cob. The combustion fuels were characterized using Thermogravimetric/Differential thermogravimetric analysis. Their TGA data were fitted to 16 kinetic models using the Coats-Redfern method. Characterization of the products was performed using Scanning Electron Microscopy/Energy Dispersive X-ray Spectroscopy and Fourier Transform Infra-Red Spectroscopy. Results revealed similar decomposition trends for combustion fuels. Different kinetic models predicted decomposition mechanisms of combustion fuels for the regions considered. Negative correlation was found between biochar yields and increasing carbonization temperatures with yields ranging from 64.6-37.8 % and 28.4-24.5% for corn husk and cob, respectively. Results indicate similar effects of combustion fuels on functional groups contained in biochar samples.
Research Article
Renewable Energy Resources and Technologies
Zaiba Ishrat; Ankur Kumar Gupta; Seema Nayak
Abstract
The rapid rise in electrical energy demand and the depletion of fossil fuels have created a market for renewable energy. Among all the renewable energy resources, the most popular is solar energy, perceived as pollution-free, easily accessible, and low maintenance. In non-uniform solar irradiation or ...
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The rapid rise in electrical energy demand and the depletion of fossil fuels have created a market for renewable energy. Among all the renewable energy resources, the most popular is solar energy, perceived as pollution-free, easily accessible, and low maintenance. In non-uniform solar irradiation or partial shading conditions (PSC), the photovoltaic characteristics (PVC) of a solar panel system (SPS) exhibit multiple minor peaks (MP) with one global peak power point (GPPP). To extract the utmost energy from the SPS, the authors proposed an efficient hybrid algorithm integrating the advantages of machine learning and the classical algorithm fractional open circuit voltage (FOVA) to track the GPPP. To follow the GPPP of SPS under unstable environmental surroundings, this study tests ML-based hybrid MPPT algorithms, specifically squared multiple variable linear regression algorithms (SMVLRA), using Matlab/Simulink. Simulation through Matlab is employed to validate the efficiency of the SMVLRA-MPPT approach compared to existing popular conventional and modern MPPT algorithms, namely the Perturb and Observation algorithm (P&OA), the variable step size incremental conductance (VINC) algorithm, and an intelligent algorithm, Decision Tree Regression Algorithm (DTRA). The simulation results demonstrate that SMVLRA offers higher peak power and mean peak power efficiency in less tracking time, with lower error and almost negligible steady-state fluctuation under PSC. The proposed algorithm achieves 99.99% efficiency under standard test conditions (1000w/m2, 25°C), 99.95% under PSC1 (1000w/m2, 800w/m2, 25°C), and 98.89% under PSC2 (1000w/m2, 800w/m2, 600w/m2, 25°C)
Review Article
Advanced Energy Technologies
Mahdi Saadati pour; Mona Zamani Pedram
Abstract
This abstract offers a comprehensive review of recent advancements in Graphene Carbon Nitride (GCN) as a highly promising electrode material for supercapacitors. GCN boasts exceptional advantages, including abundant availability, a metal-free composition, high nitrogen content, and remarkable environmental ...
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This abstract offers a comprehensive review of recent advancements in Graphene Carbon Nitride (GCN) as a highly promising electrode material for supercapacitors. GCN boasts exceptional advantages, including abundant availability, a metal-free composition, high nitrogen content, and remarkable environmental sensitivity. These unique characteristics have positioned GCN at the forefront of research in energy storage and supercapacitor electrode materials. However, despite its potential, GCN faces challenges concerning limited specific capacity and energy density. To address these limitations, this review, as the first and most comprehensive in its field, focuses on innovative and novel development methods, particularly the strategic formation of nanostructures in 1, 2, and 3 dimensions. A notable finding of this review is the tremendous promise of 3D structures in enhancing the electrochemical properties of GCN as a supercapacitor electrode. A critical research gap in other review articles is the absence of comprehensive and innovative literature investigating nanostructures (1D, 2D, and 3D) with novel synthesis methods for using GCN as a supercapacitor electrode. This underscores the pressing need for further scholarly investigation in this area, as addressed by this review article. Overall, this professional review not only provides a comprehensive overview of advancements in GCN as a supercapacitor electrode material but also offers valuable guidance for researchers in the field. It highlights the importance of utilizing environmentally friendly synthesis techniques for fabricating multidimensional nanostructures, illuminating novel research directions and pioneering investigations. This empowers researchers to advance the utilization of GCN in energy storage applications.
Research Article
Renewable Energy Resources and Technologies
Divya Bisen; Ashish Pratap Singh Chouhan; Raja Mohan Sakthivel
Abstract
Recently, waste materials have garnered attention for their potential in providing clean and affordable energy through thermochemical conversion techniques. They play a significant role in transforming waste into eco-friendly energy, but the proper selection of materials is crucial for successful thermochemical ...
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Recently, waste materials have garnered attention for their potential in providing clean and affordable energy through thermochemical conversion techniques. They play a significant role in transforming waste into eco-friendly energy, but the proper selection of materials is crucial for successful thermochemical conversion. The primary objective of this study is to assess combustion efficiency based on activation energy, utilizing TGA and DTG analysis. Rice husk (RH), low-density polyethylene (LDPE), and polyethylene terephthalate (PET) waste materials were chosen for investigation. Experiments were conducted at temperatures ranging from 25 °C to 600 °C, with varying heating rates of 10, 20, 30, and 40 °C min-1. The apparent activation energy of the feedstocks was determined using five different iso-conversional model-free approaches, namely Kissinger Akahira Sunose (KAS), Friedman, Flynn Wall Ozawa (FWO), Starink, and Tang methods. The apparent activation energy for rice husk, LDPE, and PET fell within the range of 113-123 kJ mol-1, 101-101 kJ mol-1and105-117kJmol-1, respectively This research also contributes to establishing Comprehensive Pyrolysis Index (CPI) values to identify suitable sources for pyrolysis and gasification. According to CPI results, temperatures between 500 to 600 °C are optimal for pyrolysis, and an increase in heating rate enhances the output of pyrolysis products. A higher CPI index is favorable for achieving both a high calorific value and increased hydrocarbon contents.
Research Note
Environmental Impacts and Sustainability
Nima Amani
Abstract
Building insulation stands out as one of the most widely employed strategies to enhance energy efficiency in the building sector. Increasing the thickness of thermal insulation is a conventional approach to meet the design requirements of these structures. In this study, a novel approach to augment the ...
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Building insulation stands out as one of the most widely employed strategies to enhance energy efficiency in the building sector. Increasing the thickness of thermal insulation is a conventional approach to meet the design requirements of these structures. In this study, a novel approach to augment the thermal resistance of external building walls is explored by simultaneously employing multiple thermal insulation materials, comparing this with a single-layer insulation setup. Three typical insulation materials with varying thicknesses are utilized to create a three-layer insulation system, which is applied to a case study involving a house-like cubicle situated in the 3B climate zone per ASHRAE 169-2006. The findings indicate that merely increasing the thickness of a single-layer insulation does not invariably yield optimal solutions. The results emphasize that the consideration of multi-layer insulation systems can establish a continuous decision-making space, enabling the identification of at least one insulation scenario aligned with design requirements. To facilitate designers in the initial stages of thermal insulation design, a rapid and simplified design model has been developed based on the results. The methodology proposed in this study is generalizable and can be applied to all climate zones, offering a comprehensive design tool without the need for intricate calculations.
Review Article
Advanced Energy Technologies
Hassan Z. Al Garni; Arunachalam Sundaram; Anjali Awasthi; Rahul Chandel; Salwan Tajjour; Shyam Singh Chandel
Abstract
A major design challenge for a grid-integrated photovoltaic power plant is to generate maximum power under varying loads, irradiance, and outdoor climatic conditions using competitive algorithm-based controllers. The objective of this study is to review experimentally validated advanced maximum power ...
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A major design challenge for a grid-integrated photovoltaic power plant is to generate maximum power under varying loads, irradiance, and outdoor climatic conditions using competitive algorithm-based controllers. The objective of this study is to review experimentally validated advanced maximum power point tracking algorithms for enhancing power generation. A comprehensive analysis of 14 of the most advanced metaheuristics and 17 hybrid homogeneous and heterogeneous metaheuristic techniques is carried out, along with a comparison of algorithm complexity, maximum power point tracking capability, tracking frequency, accuracy, and maximum power extracted from PV systems. The results show that maximum power point tracking controllers mostly use conventional algorithms; however, metaheuristic algorithms and their hybrid variants are found to be superior to conventional techniques under varying environmental conditions. The Grey Wolf Optimization, in combination with Perturb & Observe, and Jaya-Differential Evolution, is found to be the most competitive technique. The study shows that standard testing and evaluation procedures can be further developed for comparing metaheuristic algorithms and their hybrid variants for developing advanced maximum power point tracking controllers. The identified algorithms are found to enhance power generation by grid-integrated commercial solar power plants. The results are of importance to the solar industry and researchers worldwide.
Research Article
Renewable Energy Resources and Technologies
Mahdi Pourbafrani; Hossein Ghadamian; Mohammad Aminy; Meisam Moghadasi; Masoud Mardani; Mohammad Akrami; Amir houshang Khaki; Seyed Mohammad Kazem Sadr
Abstract
Evacuated tube solar collectors (ETSC) are widely utilized in both domestic and industrial solar water heaters (SWH) due to their commendable thermal performance and straightforward installation. However, a significant challenge associated with ETSC lies in the fact that half of the collector remains ...
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Evacuated tube solar collectors (ETSC) are widely utilized in both domestic and industrial solar water heaters (SWH) due to their commendable thermal performance and straightforward installation. However, a significant challenge associated with ETSC lies in the fact that half of the collector remains unexposed to sunlight. To overcome this limitation, parabolic reflectors can be employed as a viable solution. The primary objective of this study is to assess the performance of a compound parabolic concentrator (CPC) in conjunction with ETSC, taking into account a specific ratio between the areas of the CPC and ETSC. To achieve the desired configuration, the CPC was meticulously designed, fabricated, installed, and subsequently tested. Moreover, the energy performance of the absorber tube was scrutinized both with and without the integration of a parabolic trough collector. The experiments and data collection were conducted on two selected days for both the conventional ETSC device and the system incorporating the CPC. Meteorological data and operational conditions were measured and digitally stored for subsequent analysis. A noteworthy outcome of the study is the revelation that the energy efficiency of the system with a concentrator exhibited a notable improvement of 2.8% compared to the conventional system. Offline results further indicated that the performance of a single absorber tube with a concentrator increased by approximately 2.7 times when compared to the standard system. This suggests that the energy performance of the solar water heater, with a capacity of about 200 liters and featuring 7 absorber tubes with a concentrator, is comparable to that of the conventional system equipped with 18 absorber tubes.
Research Article
Renewable Energy Resources and Technologies
Tsutomu Dei; Hossen Iddi Kayumba; Julius Agaka Yusufu
Abstract
This research explores biomass gasification for power generation in rural areas of developing countries, utilizing a 20 kW U-flow-shaped gasification system developed at Ashikaga University. While small-scale power systems typically rely on reciprocating or modified diesel engines, which face issues ...
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This research explores biomass gasification for power generation in rural areas of developing countries, utilizing a 20 kW U-flow-shaped gasification system developed at Ashikaga University. While small-scale power systems typically rely on reciprocating or modified diesel engines, which face issues due to tar produced by biomass gasifiers, this study employed a piston-less rotary engine. Performance evaluations were conducted at various engine speeds and gasifier operational modes, demonstrating continuous power generation for approximately six hours. Improved maintenance of rotary engines could benefit rural users, with potential efficiency gains through thermal energy recovery, although tar filtration needs enhancement. The experimental findings reveal continuous power generation for approximately six hours under both operational conditions, with the closed-top operation outperforming the open-top counterpart in terms of power output. However, control over power output and gasifier temperatures is more straightforward in the open-top operation. Gasifier performance was assessed based on fuel consumption rate and system efficiency, with consumption rates varying by rotary engine speed, measuring 2.0 kWh/kg at 2800 rpm and 2.3 kWh/kg at 3200 rpm, and 2.9 kWh/kg at 3600 rpm. Cold gas efficiency of the U-shaped gasifier was 63.4%, and energy conversion efficiency reached 9.4% at 2800 rpm operation. At 3200 rpm operation, cold gas efficiency improved to 79.8%, but energy conversion efficiency decreased to 7.3%. The rotary engine's energy conversion efficiency was lower than that of a gas engine. Nonetheless, if the rotary engine reduces maintenance needs, it could benefit rural users. Efficiency can be improved through thermal energy recovery.
Research Article
Renewable Energy Resources and Technologies
Ahmed H. Mohammed; Ahmed N. Shmroukh; Nouby M. Ghazaly; Abd Elnaby Kabeel
Abstract
investigated in the weather conditions of Qena, Egypt, at a location of (Latitude: 26.16°, Longitude: 32.71°). Boosting the output of the pyramid solar still is the primary focus of the proposed strategy. To achieve this, four basins were built and integrated into the pyramid solar still, with ...
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investigated in the weather conditions of Qena, Egypt, at a location of (Latitude: 26.16°, Longitude: 32.71°). Boosting the output of the pyramid solar still is the primary focus of the proposed strategy. To achieve this, four basins were built and integrated into the pyramid solar still, with their size increasing in proportion to the surface area of the condensing glass. A 25% increase in basin area per square meter of solar still was achieved compared to conventional pyramid solar still (CPSS) with the same condensing cover area. The thermal performance and productivity of the suggested solar still were demonstrated by developing energy balance equations for temperature components and then analytically computing their solutions. The results showed compatibility between theoretical and experimental results. The highest yields for CPSS were 2524 mL/m2, and for MPSS, they were 3415 mL/m2. The stepped area enhanced the yield by 35.3% compared with CPSS. Moreover, the efficiency of CPSS and MPSS was recorded as 23.5% and 31.7%, respectively. Furthermore, the maximum yield of freshwater was obtained for the northern condensing cover, with the recorded value reaching 1174 mL/m2. Distilled water under the proposed system would cost $0.0179 per liter. Finally, the TDS and pH levels are in accordance with WHO recommendations for the quality of drinking water.
