Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system

Azizi, Saeid; Shakibi, Hamid; Shokri, Afshar; Chitsaz, Ata; Yari, Mortaza

doi:10.1016/j.apenergy.2022.120487

Cited by 62 publications

(4 citation statements)

References 37 publications

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“…To address this problem, we investigated the use of time, concentration, and fungal species to maximize the zone of inhibition. These objectives form the core of the RSM methodology [85] …”

Section: Resultsmentioning

confidence: 99%

“…These objectives form the core of the RSM methodology. [85] To maximize the zone of inhibition output, we examined the interactions between the inputs of these models (time, concentration, and fungal species). The DOE model's parameters were finally run by fitting over all the significant inputs and outputs, yielding the 30 runs represented in (Table 1).…”

Section: Statistical Analysis Rsm Based Desirability Functionmentioning

confidence: 99%

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“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

Prakash,

Rajeshkumar,

Khan

et al. 2024

ChemistrySelect

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Biological processes were used to create Ag@AgCl nanoparticles in an eco‐friendly manner. Grape seed extracts were used to create Ag@AgCl nanoparticles for this study. The antifungal activity of nanoparticles was tested using fruit‐rotting fungi. UV‐Vis spectrophotometry was used to analyze the nanoparticles to determine the extent of surface plasmon resonance (SPR) band formation. The phytochemicals employed in nanoparticle synthesis were studied using Fourier transform infrared spectroscopy (FT‐IR). X‐ray diffraction (XRD) studies revealed that the Ag@AgCl nanoparticles were crystalline. Field‐emission scanning electron microscopy (FE‐SEM) was used to determine the morphological structure of the nanoparticles. FE‐SEM images determined the average particle size of Ag@AgCl. Energy‐dispersive X‐ray spectroscopy (EDAX was used to examine the elemental composition. Transmission electron microscopy (TEM) and atomic force microscopy (AFM) were employed. Fungi that cause fruit deterioration have been isolated from bananas and papaya fruits. The Ag@AgCl nanoparticles were evaluated for fungal activity against Rhizopus stolonifer, Alternaria species, Aspergillus niger, Aspergillus fumigatus, and Fusarium oxosporum. An agar‐well diffusion study indicated that these nanoparticles had good antifungal sensitivity against fungal infections. However, this study was adequate to allow the inhibitory activity to proceed to the optimization phase, where we dealt with RSM‐based desirability function prediction. The results also demonstrate that the model performs well, implying that it can provide an accurate estimate of output. usingthe impact,the desirability of each factorzoneson

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“…To address this problem, we investigated the use of time, concentration, and fungal species to maximize the zone of inhibition. These objectives form the core of the RSM methodology [85] …”

Section: Resultsmentioning

confidence: 99%

Section: Statistical Analysis Rsm Based Desirability Functionmentioning

confidence: 99%

“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

Prakash,

Rajeshkumar,

Khan

et al. 2024

ChemistrySelect

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“…For instance, Zaid et al [8] employed it for intelligent fractional integral control to achieve load frequency control in a two-zone interconnected modern power system. Azizi et al [9] leveraged a multi-objective variant of GWO to determine the optimal operating conditions of a novel cogeneration system. Ullah et al [10] adopted GWO when optimizing the parameters of 2 of 32 an electric vehicle charging time prediction model.…”

Section: Introductionmentioning

confidence: 99%

Pressure Vessel Design Problem Using Improved Gray Wolf Optimizer Based on Cauchy Distribution

Li,

Sun

2023

Applied Sciences

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The Gray Wolf Optimizer (GWO) is an established algorithm for addressing complex optimization tasks. Despite its effectiveness, enhancing its precision and circumventing premature convergence is crucial to extending its scope of application. In this context, our study presents the Cauchy Gray Wolf Optimizer (CGWO), a modified version of GWO that leverages Cauchy distributions for key algorithmic improvements. The innovation of CGWO lies in several areas: First, it adopts a Cauchy distribution-based strategy for initializing the population, thereby broadening the global search potential. Second, the algorithm integrates a dynamic inertia weight mechanism, modulated non-linearly in accordance with the Cauchy distribution, to ensure a balanced trade-off between exploration and exploitation throughout the search process. Third, it introduces a Cauchy mutation concept, using inertia weight as a probability determinant, to preserve diversity and bolster the capability for escaping local optima during later search phases. Furthermore, a greedy strategy is employed to incrementally enhance solution accuracy. The performance of CGWO was rigorously evaluated using 23 benchmark functions, demonstrating significant improvements in convergence rate, solution precision, and robustness when contrasted with conventional algorithms. The deployment of CGWO in solving the engineering challenge of pressure vessel design illustrated its superiority over traditional methods, highlighting its potential for widespread adoption in practical engineering contexts.

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“…Concerning other hybrid combinations and improved models for geothermal energy systems, ref. [52] applied multi-criteria analysis to develop a novel cogeneration system using geothermal and natural gas dual sources to respond to thermodynamic effectiveness.…”

Section: Introductionmentioning

confidence: 99%

Development of an Improved Decision Support Tool for Geothermal Site Selection in Nigeria Based on Comprehensive Criteria

Nwaiwu,

Leach,

Liu

2023

Energies

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Geothermal resource assessment is crucial for the rural electrification of Nigeria. A comprehensive set of criteria was used to appraise promising geothermal sites in Nigeria. The evaluation of the sites was performed using the multi-criteria decision analysis (MCDA) method and taking into account evidence of a wide range of criteria from a set of geological, geophysical, well log, environmental, remote sensing, and geochemical datasets to appraise promising geothermal sites and to add to the current debate on the needed criteria for geothermal development. To gather relevant data, various sources such as bottom-hole temperature (BHT) data from different boreholes and oil and gas wells, aeromagnetic maps, reduced-to-the-pole, magnetic, heat flow, seismic, and geothermal gradient data from aerogravity maps, Bouguer anomaly maps, earthquake epicenter maps, satellite images, and geological maps were obtained from the literature. A case study of the thirty-six states of Nigeria, including the federal capital territory, Abuja (FCT), was conducted to illustrate how these criteria would reveal the technical aspect of the geothermal energy situation. A model was developed to show that the application of a wide range of criteria to the six datasets identified and analyzed in this study reveals that the datasets complement each other and should not be used independently. It can be found from the overall suitability map that more than 20% of the study area is suitable for geothermal energy development. It can also be observed from the map that some of the promising sites in Nigeria may include but are not limited to Bauchi, FCT, Taraba, Ebonyi, Adamawa, Oyo, and Nasarawa states in Nigeria. The opportunities for the further application of the approach are discussed, including the use of the model to help policymakers decide where to invest in the future.

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Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system

Cited by 62 publications

References 37 publications

“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

Pressure Vessel Design Problem Using Improved Gray Wolf Optimizer Based on Cauchy Distribution

Development of an Improved Decision Support Tool for Geothermal Site Selection in Nigeria Based on Comprehensive Criteria

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