Soft computing analysis of thermohydraulic enhancement using twisted tapes in a flat-plate solar collector: Sensitivity analysis and multi-objective optimization

Mohseni-Gharyehsafa, Behnam; Esfahani, Javad Abolfazli; Kim, Kyung Chun; Ouerdane, Henni

doi:10.1016/j.jclepro.2021.127947

Cited by 29 publications

(6 citation statements)

References 30 publications

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“…In order to propose scenarios in which better exergetic behavior can be visualized, allowing an increase in the useful work of the flat plate solar collector with the environment to which it is exposed, a sensitivity analysis was carried out using thermal parameters of the process used in the equipment, where the influential thermodynamic variables were identified, in order to change their values and analyze the new exergetic performance of the system [40].…”

Section: Sensitivity Analysismentioning

confidence: 99%

Energy exergetic and economic analysis (3E) in a flat solar collector with thermal storage for air heating

Castillo-Leon,

Zanabria-Ortigoza,

Rincon-Quintero

et al. 2023

PEN

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Solar energy has been considered as a carrier of primary energy to sustain life, representing a renewable energy resource that strengthens industrialization through its use as the main source of energy. This study evaluates the energy, exergetic and economic yields through an analytical approach applied to experimental data obtained in a flat solar collector (SAC) with paraffin as phase change material (PCM) and "V" absorber plate geometry, intended for air heating. The results of the investigation indicated that the energy, exergetic, and exergy destroyed efficiency of the SAC were 71.24%, 16.96%, and 79.66%, respectively. This research allowed us to carry out a sensitivity analysis applied to the results of the thermodynamic variables of the equipment: thermal efficiency, air mass flow and solar radiation; where an improvement in the thermodynamic yields is evidenced by obtaining a thermal efficiency of 91.25%, exergetic efficiency of 61.03% and a decrease in exergy destroyed up to 35.04% of the values obtained experimentally. Through the economic analysis, it was determined that the levelized cost of heating the SAC is 0.0927 USD/kWh, indicating that the project is economically profitable, due to the use of solar energy instead of electrical energy as an input source. Lastly, this research is expected to be a contribution that can support the authors of subsequent projects interested in this technology.

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Section: Sensitivity Analysismentioning

confidence: 99%

Energy exergetic and economic analysis (3E) in a flat solar collector with thermal storage for air heating

Castillo-Leon,

Zanabria-Ortigoza,

Rincon-Quintero

et al. 2023

PEN

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“…This can contribute to increasing the competitiveness and expanding the range of applications of the collectors. Interesting FPSCs solutions were presented and analysed in [10][11][12]. The main novelty of [10] is the proposal for a stainless steel solar collector with micro channels.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the use of stainless steel extends the FPSC life. Mohseni-Gharyehsafa et al [11] carried out a sensitivity analysis and multi-objective optimisation for an FPSC fitted with twisted tapes. The aim of the optimisation was to find the collector most efficient design.…”

Section: Introductionmentioning

confidence: 99%

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Numerical and Experimental Determination of Selected Parameters of the Liquid Flat-Plate Solar Collector under Outdoor Conditions

Zima,

Mika,

Sztekler

2024

Preprint

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The paper presents a proposal for an in-house mathematical model of a liquid flat-plate solar collector. The proposed model is a one-dimensional distributed parameter model enabling simulations of the collector operation under arbitrarily variable boundary conditions. The model is based on the solution of energy balance equations for all components of the collector. The formulated differential equations are solved iteratively using an implicit difference scheme. In order to obtain a stable numerical solution, it is necessary to use appropriate steps of the time and spatial division. These were found by comparing the results obtained from the model with the results of the analytical solution available in the literature for the transient state, which constitutes the novelty of the present study. The accuracy of the results obtained from the model was verified experimentally by comparing the measured and the calculated history of the fluid temperature at the outlet of the collector. The calculation of the collector time constant is proposed in the paper as an example of the model practical application. The results of the time constant calculation were compared with the values obtained experimentally on the test stand. This is another novelty of the presented research. The analysed collector instantaneous efficiency was then calculated for selected outdoor conditions. The presented mathematical model can also be used to verify the correctness of the collector operation. Comparing, on an ongoing basis, the measured and the calculated values of the fluid temperature at the collector outlet, conclusions can be drawn about the process of solar glass fouling or glycol gelling. The model's simplicity and the low computational demands enable such comparisons in an online mode.

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“…R ENEWABLE energy sources (RESs) are one of the technologies that enable covering a raising global energy consumption [1]. Battery energy storage systems (BESSs) are a critical part of an electrical grid since they can contribute to a smooth integration of RES [2].…”

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confidence: 99%

Evaluating Machine-Learning-Based Methods for Modeling a Digital Twin of Battery Systems Providing Frequency Regulation

Kharlamova

Hashemi

2023

IEEE Systems Journal

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Battery energy storage systems (BESSs) have the potential to become providers of frequency regulation services in future energy systems. In this case, the reliable operation of BESS has a significant impact on system stability. One of the tools that ensures the secure BESS operation is applying a digital twin to forecast the BESS state of charge (SOC). It allows to predict BESS behavior and identify potential failures or cyberattacks in BESS. In this article, we compare multiple data-driven approaches to forecast the SOC of a BESS based on realistic dataset and real battery operation. Recurrent neural networks, e.g., feedforward neural network, gated recurrent unit, long short-term memory, support vector regression, random forest, and AdaBoost methods are applied to evaluate each method's performance. We compare the methods based on the maximum and average forecast errors, the required computational capacity, as well as expected training speed. To validate the results, in addition to the data gathered from simulations, we used experimental setup with a BESS of 79 kWh providing containment reserve for normal operation, which is a BESS service with a high economical potential in Nordic Region. Furthermore, we provide recommendations for the methods that are suitable to be applied for modeling the digital twin of a utilityscale battery digital twin.Index Terms-Artificial intelligence (AI), battery energy storage system (BESS), digital twin, frequency regulation, neural network, state of charge (SOC). NOMENCLATUREConstants η BESS efficiency W Energy capacity of a BESS Δt Duration of the control period N Number of samples in the dataset MAE Mean absolute error ME Maximum error Variables ϕ(x i ) Input features vector

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Soft computing analysis of thermohydraulic enhancement using twisted tapes in a flat-plate solar collector: Sensitivity analysis and multi-objective optimization

Cited by 29 publications

References 30 publications

Energy exergetic and economic analysis (3E) in a flat solar collector with thermal storage for air heating

Energy exergetic and economic analysis (3E) in a flat solar collector with thermal storage for air heating

Numerical and Experimental Determination of Selected Parameters of the Liquid Flat-Plate Solar Collector under Outdoor Conditions

Evaluating Machine-Learning-Based Methods for Modeling a Digital Twin of Battery Systems Providing Frequency Regulation

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