Optimal arrangement of a micro-CHP system in the presence of fuel cell-heat pump based on metaheuristics

Li, Yanda; Yuwei, Zou; Razmjooy, Navid

doi:10.1080/01430750.2020.1758779

Cited by 27 publications

(4 citation statements)

References 33 publications

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“…This means that the search factors are located near one another. In the circumstance of unimportance distinction in average diversity amounts throughout numerous repetitions, it could be stated that the optimizer has achieved a condition of convergence [34]. The measurement‐wise variety throughout the repetition of the exploration approach was estimated as below:

\begin{equation}\ \frac{1}{{Di{v}_j}} = \frac{1}{N}\ \mathop \sum \limits_{i = 1}^N median\left( {{y}^j} \right) - y_i^jDi{v}^t = \frac{1}{N}\ \mathop \sum \limits_{j = 1}^D Di{v}_j\end{equation}

where

y_i^j

indicates j th dimension of i th swarm individual and median (

{y}^j

) denotes the median amount of j th dimension of total the swarm.…”

Section: Converged Henry Gas Solubility Optimization Algorithmmentioning

confidence: 99%

“…This means that the search factors are located near one another. In the circumstance of unimportance distinction in average diversity amounts throughout numerous repetitions, it could be stated that the optimizer has achieved a condition of convergence [34]. The measurement-wise variety throughout the repetition of the exploration approach was estimated as below:…”

Section: Exploration and Exploitation Stagesmentioning

confidence: 99%

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An innovative technique for optimization and sensitivity analysis of a PV/DG/BESS based on converged Henry gas solubility optimizer: A case study

Ghadimi

Sedaghat

Azar

et al. 2023

IET Generation Trans & Dist

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The construction of hybrid power plants with renewable resources can bring significant economic benefits if it is evaluated economically and technically. The present study uses a novel optimum methodology for designing a combined solar/battery/diesel system in Yarkant, Xinjiang Uyghur Autonomous Region of China. In the desired system, the green energy combined system is designed to reduce the use of diesel generators. The diesel generator has been used in the photovoltaic, diesel, and battery to support green energy resources and batteries, as well as function as a backup generator for critical times whenever the production of green energy resources is low or the load demand is high. The amount of CO2 emitted, the probability of load shortage and the system cost on yearly basis are the major goals in the process of optimization. Here, the single‐objective problem is created by using the ε‐constraint technique to combine the many objectives. An improved Henry gas solubility optimizer handles the problem of optimization. To demonstrate the superiority of the strategy, a comparison is conducted between the simulation outcomes of the offered system, HOMER, and particle swarm optimizer ‐based optimum systems from the literature. The sensitivity of each parameter is also examined using sensitivity analysis.

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\begin{equation}\ \frac{1}{{Di{v}_j}} = \frac{1}{N}\ \mathop \sum \limits_{i = 1}^N median\left( {{y}^j} \right) - y_i^jDi{v}^t = \frac{1}{N}\ \mathop \sum \limits_{j = 1}^D Di{v}_j\end{equation}

where

y_i^j

indicates j th dimension of i th swarm individual and median (

{y}^j

) denotes the median amount of j th dimension of total the swarm.…”

Section: Converged Henry Gas Solubility Optimization Algorithmmentioning

confidence: 99%

“…This means that the search factors are located near one another. In the circumstance of unimportance distinction in average diversity amounts throughout numerous repetitions, it could be stated that the optimizer has achieved a condition of convergence [34]. The measurement-wise variety throughout the repetition of the exploration approach was estimated as below:…”

Section: Exploration and Exploitation Stagesmentioning

confidence: 99%

An innovative technique for optimization and sensitivity analysis of a PV/DG/BESS based on converged Henry gas solubility optimizer: A case study

Ghadimi

Sedaghat

Azar

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…e metaheuristic algorithms are derived from various phenomena from nature, human society, animal hunting behavior, and so forth. Several algorithms have been proposed in this field [26][27][28][29], for example, World Cup Optimizer [30], Ant Lion Optimizer (ALO) [31], Chimp Optimization Algorithm [32], Harris Hawks Optimization [33], and mayfly optimization algorithm [34]. In the present research, a novel modified model of the ermal Exchange Optimization (TEO) algorithm has been presented to achieve optimal results for the considered methodology [5].…”

Section: The Developed Thermal Exchange Optimization Algorithmmentioning

confidence: 99%

Skin Cancer Detection Based on Extreme Learning Machine and a Developed Version of Thermal Exchange Optimization

Shi

Hamian

2021

Computational Intelligence and Neuroscience

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Melanoma is defined as a disease that has been incurable in advanced stages, which shows the vital importance of timely diagnosis and treatment. To diagnose this type of cancer early, various methods and equipment have been used, almost all of which required a visit to the doctor and were not available to the public. In this study, an automated and accurate process to differentiate between benign skin pigmented lesions and malignant melanoma is presented, so that it can be used by the general public, and it does not require special equipment and special conditions in imaging. In this study, after preprocessing of the input images, the region of interest is segmented based on the Otsu method. Then, a new feature extraction is implemented on the segmented image to mine the beneficial characteristics. The process is then finalized by using an optimized Deep Believe Network (DBN) for categorization into 2 classes of normal and melanoma cases. The optimization process in DBN has been performed by a developed version of the newly introduced Thermal Exchange Optimization (dTEO) algorithm to obtain higher efficacy in different terms. To show the method’s superiority, its performance is compared with 7 different techniques from the literature.

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“…Recently, many studies have been conducted to improve energy calculation efficiency. A few of them include improvements of power system stabilizer control [1], proton exchange membrane fuel cell PENFC model performance [2,3], and configuration and efficiency of micro CHP system [4,5]. However, researches on nuclear safety, which is at high risk instead of producing clean energy most efficiently, are considered most important.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Construction of a Nuclear Safety Standards Integrated Management System in the Republic of Korea

Kim

Hwang

Park

et al. 2022

Technol Econ Smart Grids Sustain Energy

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Nuclear safety standards should be continuously improved by reflecting the latest international standards and regulatory experience, but in the Republic of Korea, they are still used only for limited purposes, such as the disclosure of safety standard information and status. Therefore, it is very urgent to establish an integrated management system that can flexibly improve nuclear safety standards. In this study, based on the investigation of the strengths and weaknesses of similar systems at home and abroad, in relation to the development and management of safety standards, this study intends to identify problems and suggest ways to improve the current domestic nuclear safety standards management. To this end, 15 experts related to the development and management of nuclear safety standards were included as a Delphi panel, and a questionnaire survey and SWAT analysis of similar systems at home and abroad were conducted. The essential factors to consider for establishing an integrated nuclear safety standard management system are the safety standard development procedures and methods, and the methods of providing information on safety standards and collecting opinions. For this, the problems of the current nuclear safety standard management system and the following five measures to improve are derived. 1) reflecting the informatization of the work process of developing safety standard enactment and amendment, 2) regular analysis of overseas safety standards and development of domestic requirements management system, 3) development of mid-to-long-term safety standard roadmap management system, 4) safety standard information Expansion of readability and openness, 5) provision of a window for express opinions at each stage of safety standard development. In addition, we propose four work processes (information collection, constant analysis, safety standard development management, and information provision) reflecting the above improvement measures. The proposed method through this study is expected to be a good blueprint for the construction and operation of an integrated web-based safety standards management system in the future.

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Optimal arrangement of a micro-CHP system in the presence of fuel cell-heat pump based on metaheuristics

Cited by 27 publications

References 33 publications

An innovative technique for optimization and sensitivity analysis of a PV/DG/BESS based on converged Henry gas solubility optimizer: A case study

An innovative technique for optimization and sensitivity analysis of a PV/DG/BESS based on converged Henry gas solubility optimizer: A case study

Skin Cancer Detection Based on Extreme Learning Machine and a Developed Version of Thermal Exchange Optimization

A Study on the Construction of a Nuclear Safety Standards Integrated Management System in the Republic of Korea

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