Efficiency maximization and performance evaluation of hybrid dual channel semitransparent photovoltaic thermal module using fuzzyfied genetic algorithm

Jain

2018

Energy & Environment

The photovoltaic thermal greenhouse system highly supports the production of biogas. The system’s prime advantage is biogas heating and crop drying through varied directions of air flow. Further, it diminishes the upward loss of the system. This paper aims to model a practical greenhouse system for obtaining the precise estimation of the heating efficiency, given by the solar radiance. The simulation model adopts the self-adaptive firefly neural network model that applies on known experimental data. Therefore, the error function between the model outcome and the experimental outcome is substantially minimized. The performance analysis involves an effective comparative study on the root mean square error between the adopted self-adaptive firefly neural network model and the conventional models such as Levenberg–Marquardt neural network and firefly neural network. Later, the impact of self-adaptiveness, FF update and learning performance on attaining the knowledge regarding the characteristics of SAFF algorithm is analysed to yield better performance.

Section: Theoretical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive network architecture and firefly algorithm for biogas heating model aided by photovoltaic thermal greenhouse system

Jain

2018

Energy & Environment

Journal of Thermal Engineering

“…These drying system control and manage the drying cabin temperature, as well as other affecting ambient parameters (room temperature, relative humidity, air speed). Adequate dehydration helps in preserving flavor, texture as well as quality assessment in term of color index of dried product [1], [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Application of ANN and prediction of drying behavior of mushroom drying in side hybrid greenhouse solar dryer: An experimental validation

Kushwah

Gaur

Kumar

et al. 2022

The newly developed Heat Exchanger Evacuated Tube Assisted Drying System (HE-ETADS) is fabricated in roof of campus of MITS, Gwalior, India. Heat transfer analysis of developed drying system is carried out by drying mushroom inside it. The heat transfer coefficient plays a significant role in drying method. The study emphasizes on determining the convective as well as evaporative heat transfer coefficients (CHTC & EHTC) and the determination of best drying rate model fit for mushroom drying inside novel drying system. The artificial neural network is developed for predicting the CHTC & EHTC. Value of CHTC & EHTC varies from 2.10 to 3.43 and 25.68 to 49.85 W/m 2 °C respectively. The developed ANN model helps in predicting the heat transfer coefficient once trained using input factors like solar radiation, relative humidity, environmental temperature and time. The value of R 2 for the developed ANN model is 0.99, which shows that model predicts the value very close to the calculated value of heat transfer coefficients. Drying kinetics of mushroom is tried to fit in nine drying rate models. The Midili-Kucuk model shows the better fit among the other models.

Proceedings of the 8th EAI International Conference on Green Energy and Networking, GreeNets 2021, June 6-7, 2021, Dalian, Peop

“…Kai Li established the overall relative power loss model of non-uniform width bus grid solar cells and found that when the number of bus grid lines is 2-6, compared with the typical constant width grid line structure solar cells, the photovoltaic Conversion efficiency increased by 0.10%, 0.09%, 0.10%, 0.09% and 0.09% respectively [3]. Sonveer carried out an optimized analysis on the thermoelectric properties of translucent PV glass with hybrid double channels by using the fuzzy genetic algorithm, the power generation efficiency was improved by 12.21%, and the mean temperature of PV glass was decreased by 2.28℃ [4]. Antika team analyzed the relationship between temperature and power generation efficiency by combining experiments and models [5].…”

Section: Introductionmentioning

confidence: 99%

A Novel Solar Glass Window with Photovoltaic Power Generation and Automatic Temperature Regulation and Dust Removal Functions

Zhang¹,

Wang²,

Zhou³

et al. 2021

Solar energy is a new clean energy with many advantages compared with traditional energy, and the range of its application is becoming wider. This paper aims to combine the power technology based on solar energy with windows, so as to alleviate stuffiness indoors in summer and save energy. For this purpose, a novel solar glass window is designed, which reduces indoor temperature through air flow, a solar energy panel is installed in the window frame to provide power to the indoor air conditioner used for auxiliary cooling, and the air-conditioning switch is automatically controlled according to room temperature, dust on the solar energy panel is removed according to dust deposition, so as to improve the photoelectric conversion efficiency.