Optimum structure of a combined wind/photovoltaic/fuel cell-based on amended Dragon Fly optimization algorithm: a case study

Gao, Bo; Cheng, Peng; Kong, Dezhi; Wang, Xiping; Li, Chaodong; Gao, Mingming; Ghadimi, Noradin

doi:10.1080/15567036.2022.2105453

Cited by 111 publications

(38 citation statements)

References 54 publications

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“…For optimal designing seismic isolation systems, the Elman neural network (ENN) is presented. ENN involves four basic layers: the input layer, the context layer, the hidden layer, and the output layer 29 . The basic configuration of the Elman neural network is similar to the feed‐forward neural networks so that relationship among the layers is totally alike to the multilayer neural network.…”

Section: Methodsmentioning

confidence: 99%

“…ENN involves four basic layers: the input layer, the context layer, the hidden layer, and the output layer. 29 The basic configuration of the Elman neural network is similar to the feed-forward neural networks so that relationship among the layers is totally alike to the multilayer neural network. The exterior input, context weight, and the output weight matrices are demonstrated by W i h , W c h , W o h , and the input dimension and the output layers are n, that is,…”

Section: Elman Neural Networkmentioning

confidence: 99%

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Predicting building energy utilization with energy plus simulation and advanced sea lion optimization algorithm based on Elman neural network

Al-Fadheeli

Bouteraa

Mohammed

et al. 2023

Concurrency and Computation

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There are different methods for modeling a structure and the building with the heat from the exterior and interior sources for evaluating a good performance, predicting energy utilization. Various methods, differing from simple regression to techniques, which are according to the physical ideology, could be utilized in simulation. There is a prevalent explanation for whole these methods, in which the input parameters are according to an actual database when they are accessible, or else, the energy utilization assessment would be underestimated or over-estimated. In this investigation, two procedures have been presented that one is according to Elman neural network based on advanced sea lion optimization algorithm and the other one is according to physical ideology, that is, energy plus, which is prediction equipment for predicting building energy utilization. It can be seen that both methods can be proper for energy utilization prediction. In addition, an analysis that is parametric is implemented for the reflected structure on energy plus for evaluating the impact of some variables like the occupation of the building profile and weather database on predicting.

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Section: Methodsmentioning

confidence: 99%

Section: Elman Neural Networkmentioning

confidence: 99%

Predicting building energy utilization with energy plus simulation and advanced sea lion optimization algorithm based on Elman neural network

Al-Fadheeli

Bouteraa

Mohammed

et al. 2023

Concurrency and Computation

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“…The equipment rate in heating and cooling devices is multiplying, then, the consumption of energy for heating and cooling is increasing 7‐12 . Application of outer shading devices can be an efficient policy to decrease the cooling demand because it can keep the building from overheating from the solar resource through fenestrations in hot weather conditions 13 …”

Section: Introductionmentioning

confidence: 99%

Thermal comfort and energy performance improvement by optimization of shading devices using improved Battle Royal algorithm

Pouramini

2023

Concurrency and Computation

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China's building energy consumption accounts for 27.5% of China's total energy demand. This amount is increasing because of the considerable increase in the rate of household equipment mostly in air-conditioning systems. In this study, the TRNSYS simulation tool and improved Battle Royal optimizer (IBRO) is coupled for energy optimization of the building based on the simulation to study the impact of the overhangs optimization. The thermal comfort enhancement is evaluated in three case studies of three different weather conditions in China. To validate the achieved results, a comparison of the optimum values with benchmark cases is performed with consideration of heating and cooling demands, and yearly discomfort percentage. According to the achievements, an improvement can be seen in the comfort level. Also, the cooling demand is decreased by 4.2% for Shanghai. K E Y W O R D Sadaptive model, thermal comfort, improved Battle Royal optimizer, simulation-based optimization, thermal comfort, TRNSYS INTRODUCTIONBuildings use more than 30% of the overall energy demand worldwide, with estimates for increases in this portion because of urbanization, changes in weather conditions, and further living comfort standards. 1 In China, the rate of urbanization has been increased from 37.7% to 55.0% from the year 2001 to 2014. 2 Generally, the building's energy consumption is defined by the behavior of occupants, size of the building, climate, interior environment, building performance, building envelope, and service systems of the building. 3 Designing energy-effective buildings is essential. For achieving energy-savings in buildings, energy-effective strategies can be performed. [4][5][6] The equipment rate in heating and cooling devices is multiplying, then, the consumption of energy for heating and cooling is increasing. [7][8][9][10][11][12] Application of outer shading devices can be an efficient policy to decrease the cooling demand because it can keep the building from overheating from the solar resource through fenestrations in hot weather conditions. 13 Different papers have studied the shading devices' impact on enhancing the thermal operation and the comfort level of occupants in the literature. For example, in Reference 14, the impact of shading devices on the occupants' thermal comfort in a cross-ventilated office case for altering interior airflow speeds in hot seasons has been studied. The results indicated that the element placed on the façade and geometry are two important factors that affect the performance of shading devices on the occupants' thermal comfort.In Reference 15, a BIM-based technique has been proposed to give an automatic evaluation of the envelopes OTTVs of an office building. In this paper, developed visual scripting and BIM are integrated to obtain physical and thermal properties to confirm the calculation of thermal transfer amount. 16 This system gives a useful decision support system for decision-makers 17 to choose a proper material of envelope to obtain an optimal OTTV to optimize the en...

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“…27 Furthermore, polyazo dyes constitute a signicant category of organic dyes used in a variety of possible practical applications. 19,[28][29][30][31][32][33] Acid-base indicators are organic dyes displaying different colors in solutions with the change in the pH levels. The chemical structure of azo dyes containing phenol rings with the azo group along with thiol as functional groups leads to high conjugation and unique mechanism of changing colors in titration.…”

Section: Introductionmentioning

confidence: 99%

“…27 Furthermore, polyazo dyes constitute a significant category of organic dyes used in a variety of possible practical applications. 19,28–33…”

Section: Introductionmentioning

confidence: 99%

Synthesis, characterization and application of a novel polyazo dye as a universal acid–base indicator

et al. 2022

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Optimum structure of a combined wind/photovoltaic/fuel cell-based on amended Dragon Fly optimization algorithm: a case study

Cited by 111 publications

References 54 publications

Predicting building energy utilization with energy plus simulation and advanced sea lion optimization algorithm based on Elman neural network

Predicting building energy utilization with energy plus simulation and advanced sea lion optimization algorithm based on Elman neural network

Thermal comfort and energy performance improvement by optimization of shading devices using improved Battle Royal algorithm

Synthesis, characterization and application of a novel polyazo dye as a universal acid–base indicator

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