Thermo-economic optimization of a hybrid photovoltaic and thermoelectric power generator using overall performance index

Ismaila, Kehinde G.; Sahin, Ahmet Z.; Yilbaş, Bekir Sami; Al‐Sharafi, Abdullah

doi:10.1007/s10973-021-10547-2

Cited by 13 publications

(4 citation statements)

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“…Bu çalışmalardan farklı olarak PV-TE sistemlerde ekonomik analizlerle birlikte termodinamik kanunları da göz önünde bulundurularak sistem değerlendirmeleri yapılabilmektedir. Ismaila vd., [70] genel performans indeksi kullanarak su soğutmalı CPV-TE sistemin termo-ekonomik analizini değerlendirmiştir. Sistem modelleme ve değerlendirme için bir boyutlu ısı transfer modeli kullanılmıştır.…”

Section: Pv-te Güç üReti̇mi̇ İçi̇n Ekonomi̇k Değerlendi̇rmeler Hakki...unclassified

Recent Developments of Photovoltaic-Thermoelectric Hybrid Power Generation Systems

Demircan

Keçebaş

Bayrakçı

2023

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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Fotovoltaik (PV) modüllerin en küçük birimini oluşturan güneş gözeleri güneş enerjisini doğrudan elektriğe dönüştürürler. Ancak dönüştürülen elektrik enerjisi gelen enerjisinin %13 ile %20’si arasında değişmektedir. Gelen güneş enerjisinin bir kısmı geri yansımakta geri kalanı ise termal enerjiye dönüşmektedir. Bu nedenle PV modül sıcaklıkları yükselmekte ve PV modüllerin verimleri düşmektedir. Güneş enerjisinden üretilen gücü arttırmanın yollarından biri PV modül sıcaklığını termoelektrik (TE) jeneratörler yardımıyla elektrik enerjisine dönüştürmektir. Bu çalışmada PV – TE güç üretim sistemlerinde yapılan seksen farklı literatür çalışması derlenmiştir. PV-TE sistemler beş grupta sınıflandırılmıştır. Bunlar geleneksel, yoğunlaştırmalı, faz değiştiren malzeme entegreli, ekonomik değerlendirmeler ile güç düzenleme ve kaydetme birimleridir. Özetle geleneksel PV-TE sistemlerdeki sıcaklık ve güç sınırlamalarını ortadan kaldırmak için yoğunlaştırılmış sistemlere geçiş olduğu görülmekle birlikte ve yeni teknikler geliştirilmeye çalışılmaktadır. PV-TE sistemlerin performansı geleneksel PV sistemlerden iyi olsa bile TE modül maliyetinin yüksek olması ve düşük verimliliği bu sistemlerin rekabetçi olmasını kısıtlamaktadır.

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Section: Pv-te Güç üReti̇mi̇ İçi̇n Ekonomi̇k Değerlendi̇rmeler Hakki...unclassified

Recent Developments of Photovoltaic-Thermoelectric Hybrid Power Generation Systems

Demircan

Keçebaş

Bayrakçı

2023

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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“…It can directly convert solar energy into thermal energy via absorber or collector, electrical energy can be also produced using a power block (TEG or vapour turbine) driven by concentrated heliostats [124][125][126]. For some special designs where the input heat flux (free or inexpensive) is widely available, the financial profitability of TEG has been significantly improved [127][128][129][130][131]. At this time, using thermal energy from sunlight as the heat source of TEG is a promising option, especially in the case of obtaining heat and electricity simultaneously in the same system or process.…”

Section: St-teg-pcmmentioning

confidence: 99%

Advances and outlook of TE-PCM system: a review

Liu

Xie

et al. 2022

Carb Neutrality

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This review reports the most recent developments of thermoelectric (TE) system coupled with phase change material (PCM) and its promising integration options within various PCM deployment and structure design. These innovative TE coupled with PCM (TE-PCM) systems provide heat/cold energy with additional electric power which implies better harnessing of multiform energy. Fundamentals of TE-PCM system including thermoelectric effect are presented along with a basic mathematical formulation of the physical problem. The classification principles and configuration types of such systems are also summarized. The most representative studies related to the utilization of TE-PCM system in diversified application scenarios and their compatibility with other energy systems have been comprehensively reviewed and analyzed, including the component and structure optimization. In-depth analysis of the main technical and operational challenges in the future has been carried out, and the prospective development of more efficient TE-PCM system and its hybrid configurations are projected based on the current technological level.

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“…Despite these advances, the efficiencies obtained from thermoelectric modules are still in the range of 5-8% [30], indicating the need for more research thrusts in this domain. Most importantly, the thermoelectric material property complexity comes into play when the thermoelectric module is integrated in a hybrid photovoltaic-thermoelectric (PV-TE) system.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization and Machine Learning Algorithms for Forecasting the 3E Performance of a Concentrated Photovoltaic-Thermoelectric System

Alghamdi

Maduabuchi

Yusuf³

et al. 2023

International Journal of Energy Research

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Previous theoretical research efforts which were validated by experimental findings demonstrated the thermo-economic benefits of the hybrid concentrated photovoltaic-thermoelectric (CPV-TE) system over the stand-alone CPV. However, the operating conditions and TE material properties for maximum CPV-TE performance may differ from those required in a standalone thermoelectric module (TEM). For instance, a high-performing TEM requires TE materials with high Seebeck coefficients and electrical conductivities, and at the same time, low thermal conductivities ( k ). Although it is difficult to attain these ideal conditions without complex material engineering, the low k implies a high thermal resistance and temperature difference across the TEM which raises the PV backplate’s temperature in a hybrid CPV-TE operation. The increased PV temperature may reduce the overall system’s thermodynamic performance. To understand this phenomenon, a study is needed to guide researchers in choosing the best TE material for an optimal operation of a CPV-TE system. However, no prior research effort has been made to this effect. One method of finding the optimum TE material property is to parametrically vary one or more transport parameters until an optimum point is determined. However, this method is time-consuming and inefficient since a global optimum may not be found, especially when large incremental step sizes are used. This study provides a better way to solve this problem by using a multiobjective optimization genetic algorithm (MOGA) which is fast and reliable and ensures that the global optimum is obtained. After the optimization has been conducted, the best performing conditions for maximum CPV-TE energy, exergy, and environmental (3E) performance are selected using the technique for order performance by similarity to ideal solution (TOPSIS) decision algorithm. Finally, the optimization workflow is deployed for 7000 test cases generated from 10 features using the optimal machine learning (ML) algorithm. The result of the optimization chosen by the TOPSIS decision-making method generated an output power, exergy efficiency, and CO2 saving of 44.6 W, 18.3%, and 0.17 g/day, respectively. Furthermore, among other ML algorithms, the Gaussian process regression was the most accurate in learning the CPV-TE performance dataset, although it required more computational effort than some algorithms like the linear regression model.

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Thermo-economic optimization of a hybrid photovoltaic and thermoelectric power generator using overall performance index

Cited by 13 publications

References 50 publications

Recent Developments of Photovoltaic-Thermoelectric Hybrid Power Generation Systems

Recent Developments of Photovoltaic-Thermoelectric Hybrid Power Generation Systems

Advances and outlook of TE-PCM system: a review

Multiobjective Optimization and Machine Learning Algorithms for Forecasting the 3E Performance of a Concentrated Photovoltaic-Thermoelectric System

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