Modelling the Exergy of Solar Radiation: A Review
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Szargut, Jan T, 2003. "Anthropogenic and natural exergy losses (exergy balance of the Earth’s surface and atmosphere)," Energy, Elsevier, vol. 28(11), pages 1047-1054.
- Ballestrín, J. & Carra, E. & Monterreal, R. & Enrique, R. & Polo, J. & Fernández-Reche, J. & Barbero, J. & Marzo, A. & Alonso-Montesinos, J. & López, G. & Batlles, F.J., 2019. "One year of solar extinction measurements at Plataforma Solar de Almería. Application to solar tower plants," Renewable Energy, Elsevier, vol. 136(C), pages 1002-1011.
- Pons, Michel, 2012. "Exergy analysis of solar collectors, from incident radiation to dissipation," Renewable Energy, Elsevier, vol. 47(C), pages 194-202.
- Alizamir, Meysam & Kim, Sungwon & Kisi, Ozgur & Zounemat-Kermani, Mohammad, 2020. "A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions," Energy, Elsevier, vol. 197(C).
- Vaziri Rad, Mohammad Amin & Kasaeian, Alibakhsh & Mousavi, Soroush & Rajaee, Fatemeh & Kouravand, Amir, 2021. "Empirical investigation of a photovoltaic-thermal system with phase change materials and aluminum shavings porous media," Renewable Energy, Elsevier, vol. 167(C), pages 662-675.
- Reini, Mauro & Casisi, Melchiorre, 2020. "The Gouy-Stodola Theorem and the derivation of exergy revised," Energy, Elsevier, vol. 210(C).
- Cui, Yuanlong & Zhu, Jie & Zoras, Stamatis & Zhang, Jizhe, 2021. "Comprehensive review of the recent advances in PV/T system with loop-pipe configuration and nanofluid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
- Agudelo, Andrés & Cortés, Cristóbal, 2010. "Thermal radiation and the second law," Energy, Elsevier, vol. 35(2), pages 679-691.
- Polo, Jesús & Alonso-Abella, Miguel & Martín-Chivelet, Nuria & Alonso-Montesinos, Joaquín & López, Gabriel & Marzo, Aitor & Nofuentes, Gustavo & Vela-Barrionuevo, Nieves, 2020. "Typical Meteorological Year methodologies applied to solar spectral irradiance for PV applications," Energy, Elsevier, vol. 190(C).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Mehak Shafiq & Muhammad Farooq & Waqas Javed & George Loumakis & Don McGlinchey, 2023. "Thermo-Hydraulic Performance Analysis of Fe 3 O 4 -Water Nanofluid-Based Flat-Plate Solar Collectors," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
- Mohamed A. Ali & Ashraf Elsayed & Islam Elkabani & Mohammad Akrami & M. Elsayed Youssef & Gasser E. Hassan, 2023. "Optimizing Artificial Neural Networks for the Accurate Prediction of Global Solar Radiation: A Performance Comparison with Conventional Methods," Energies, MDPI, vol. 16(17), pages 1-30, August.
- González-Mora, Eduardo & Durán-García, Ma. Dolores, 2024. "Assessing parabolic trough collectors and linear Fresnel reflectors direct steam generation solar power plants in Northwest México," Renewable Energy, Elsevier, vol. 228(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Simal, Noelia & Ballestrín, Jesús & Carra, Elena & Marzo, Aitor & Polo, Jesús & Barbero, Javier & Alonso-Montesinos, Joaquín & López, Gabriel, 2024. "Typical solar extinction year at Plataforma Solar de Almería (Spain). Application to thermoelectric solar tower plants," Energy, Elsevier, vol. 296(C).
- Kazemian, Arash & Khatibi, Meysam & Reza Maadi, Seyed & Ma, Tao, 2021. "Performance optimization of a nanofluid-based photovoltaic thermal system integrated with nano-enhanced phase change material," Applied Energy, Elsevier, vol. 295(C).
- Makhanlall, D. & Liu, L.H. & Zhang, H.C., 2010. "SLA (Second-law analysis) of transient radiative transfer processes," Energy, Elsevier, vol. 35(12), pages 5151-5160.
- Fernando Venâncio Mucomole & Carlos Augusto Santos Silva & Lourenço Lázaro Magaia, 2025. "Parametric Forecast of Solar Energy over Time by Applying Machine Learning Techniques: Systematic Review," Energies, MDPI, vol. 18(6), pages 1-51, March.
- Lu, Yunbo & Wang, Lunche & Zhu, Canming & Zou, Ling & Zhang, Ming & Feng, Lan & Cao, Qian, 2023. "Predicting surface solar radiation using a hybrid radiative Transfer–Machine learning model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
- Arabhosseini, Akbar & Samimi-Akhijahani, Hadi & Motahayyer, Mehrnosh, 2019. "Increasing the energy and exergy efficiencies of a collector using porous and recycling system," Renewable Energy, Elsevier, vol. 132(C), pages 308-325.
- Chun-Wei Chen, 2023. "A Feasibility Discussion: Is ML Suitable for Predicting Sustainable Patterns in Consumer Product Preferences?," Sustainability, MDPI, vol. 15(5), pages 1-21, February.
- Makhanlall, Deodat & Munda, Josiah L. & Jiang, Peixue, 2013. "Radiation energy devaluation in diffusion combusting flows of natural gas," Energy, Elsevier, vol. 61(C), pages 657-663.
- Ma, Ben-Chi & Lin, Hua & Zhu, Yizhou & Zeng, Zilong & Geng, Jiafeng & Jing, Dengwei, 2022. "A new Concentrated Photovoltaic Thermal-Hydrogen system with photocatalyst suspension as optical liquid filter," Renewable Energy, Elsevier, vol. 194(C), pages 1221-1232.
- Sainz-Mañas, Miguel & Bataille, Françoise & Caliot, Cyril & Vossier, Alexis & Flamant, Gilles, 2022. "Direct absorption nanofluid-based solar collectors for low and medium temperatures. A review," Energy, Elsevier, vol. 260(C).
- Natei Ermias Benti & Mesfin Diro Chaka & Addisu Gezahegn Semie, 2023. "Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects," Sustainability, MDPI, vol. 15(9), pages 1-33, April.
- Teggar, Mohamed & Laouer, Abdelghani & Benhorma, Amani & Goudjil, Houssem & Arıcı, Müslüm & Ismail, Kamal AR & Mekhilef, Saad & Mezaache, El Hacene & Tahouri, Tahar, 2023. "Perspective role of phase change materials for energy efficiency in Algeria," Renewable Energy, Elsevier, vol. 217(C).
- Hepbasli, Arif, 2008. "A key review on exergetic analysis and assessment of renewable energy resources for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 593-661, April.
- Andreas Makoto Hein & Jean-Baptiste Rudelle, 2020. "Energy Limits to the Gross Domestic Product on Earth," Working Papers hal-02570677, HAL.
- Guijo-Rubio, D. & Durán-Rosal, A.M. & Gutiérrez, P.A. & Gómez-Orellana, A.M. & Casanova-Mateo, C. & Sanz-Justo, J. & Salcedo-Sanz, S. & Hervás-Martínez, C., 2020. "Evolutionary artificial neural networks for accurate solar radiation prediction," Energy, Elsevier, vol. 210(C).
- Le Roux, W.G. & Bello-Ochende, T. & Meyer, J.P., 2013. "A review on the thermodynamic optimisation and modelling of the solar thermal Brayton cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 677-690.
- Fateme Dinmohammadi & Yuxuan Han & Mahmood Shafiee, 2023. "Predicting Energy Consumption in Residential Buildings Using Advanced Machine Learning Algorithms," Energies, MDPI, vol. 16(9), pages 1-23, April.
- Ukidwe, Nandan U. & Bakshi, Bhavik R., 2007. "Industrial and ecological cumulative exergy consumption of the United States via the 1997 input–output benchmark model," Energy, Elsevier, vol. 32(9), pages 1560-1592.
- Neshat, Mehdi & Nezhad, Meysam Majidi & Mirjalili, Seyedali & Garcia, Davide Astiaso & Dahlquist, Erik & Gandomi, Amir H., 2023. "Short-term solar radiation forecasting using hybrid deep residual learning and gated LSTM recurrent network with differential covariance matrix adaptation evolution strategy," Energy, Elsevier, vol. 278(C).
- Rashid Amin & Muzammal Majeed & Farrukh Shoukat Ali & Adeel Ahmed & Mudassar Hussain, 2022. "Reliability Awareness Multiple Path Installation in Software Defined Networking using Machine Learning Algorithm," International Journal of Innovations in Science & Technology, 50sea, vol. 4(5), pages 158-172, July.
More about this item
Keywords
solar radiation; exergy; diluted solar radiation; exergy analysis;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1477-:d:751482. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.