Article
Environmental Sciences
Shubham Kumar, P. M. V. Subbarao
Summary: Solar photovoltaic technology has the potential to produce renewable energy and reduce greenhouse gas emissions. A new model based on the finite difference method has been developed to predict the operating cell temperature of a solar PV system. The model also proposes a novel function to predict PV efficiency more accurately.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Dang Phuc Nguyen Nguyen, Kristiaan Neyts, Johan Lauwaert
Summary: This study proposes two models, with and without consideration of wind speed, to improve the precision of estimating the operating temperature of outdoor PV modules. The models factor in the variation of solar irradiation over time and the thermal inertia of the PV module, achieving better performance in different time steps.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Abdelaziz Zerglaine, Ahmed Mohammedi, Nasser Eddine Mebarki, Djamila Rekioua, Toufik Rekioua
Summary: The study aims to investigate the performance of a PV generator under different shading scenarios and compare the efficiency under various shading conditions. The results show that partial shading can significantly increase PV power gain, while random shading leads to a larger decrease in PV efficiency.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Computer Science, Information Systems
Sofiane Haddad, Badis Lekouaghet, Mohamed Benghanem, Ammar Soukkou, Abdelhamid Rabhi
Summary: This article introduces an artificial algorithm called AHA algorithm, which efficiently extracts the parameters of PV modules under outdoor operational conditions. The results show that AHA algorithm is highly effective and performs well in terms of standard deviation, root mean square error, and sum of squared error. The algorithm is tested on different temperature and irradiance levels, achieving low values of RMSE and a high closeness between simulated and experimental curves.
Article
Thermodynamics
Abdelhak Keddouda, Razika Ihaddadene, Ali Boukhari, Abdelmalek Atia, Muesluem Arici, Nacer Lebbihiat, Nabila Ihaddadene
Summary: This study proposes artificial neural network (ANN) and regression models for predicting the power output of photovoltaic (PV) modules, considering the effects of climatic conditions and operating temperature. The models were trained using experimental data and selected attributes such as solar irradiation, temperature, wind speed, and humidity. The ANN model showed higher accuracy compared to linear regression models, while the Rational-PowerLaw (RPL) and Power-Law (PL) models captured the nonlinearity of the system and achieved excellent precision. The proposed models outperformed others in the literature, demonstrating superior performance and accuracy.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Environmental Sciences
Ali Ibrahim, Muhammad Raafat Ramadan, Abd EL-Monem Khallaf, Muhammad Abdulhamid
Summary: Photovoltaic technology is an effective and promising renewable energy source, but its efficiency is affected by temperature. This study evaluates the electrical and thermal performances of a photovoltaic thermal (PVT) system under water and aluminum oxide nanofluid cooling. Increasing the mass flow rate and nanoparticle concentration improves the electrical conversion efficiency of the PV modules. Water and nanofluid cooling can reduce the panel temperature.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Tao Ma, Zichang Guo, Lu Shen, Xing Liu, Zhenwu Chen, Yong Zhou, Xiaochun Zhang
Summary: Performance prediction and efficiency improvement are major focuses in solar photovoltaic research. By using a coupled model and experimental validation, this study reveals the energy loss situation and its negative impact on solar PV performance, and suggests specific measures for efficiency enhancement.
Article
Thermodynamics
Talib K. Murtadha
Summary: The main purpose of this study was to cool the photovoltaic panels using nanofluids in order to improve their performance. The study used a 2 wt% Al2O3/TiO2 hybrid nanofluid coolant and compared its effects with those of previous studies that used pure Al2O3 and TiO2 nanoparticles. Three photovoltaic panels were used, one cooled with the hybrid nanofluid, one cooled with water, and one without cooling. The results showed that cooling with the hybrid nanofluid significantly increased the output power and electrical energy efficiency compared to the other cooling methods.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Construction & Building Technology
Wenping Du, Ming Li, Yunfeng Wang, Xun Ma, Chengzhi Hu, Ying Zhang, Zhuoli Zhang
Summary: A novel method for constructing a distributed solar photovoltaic direct-drive cold storage system is proposed, where the key factors affecting system performance and energy efficiency are studied in detail. Experimental results show that the solar-cold energy conversion efficiency of the system is negatively correlated with solar radiation intensity and varies under different weather conditions.
BUILDING AND ENVIRONMENT
(2021)
Article
Thermodynamics
Yanfeng Liu, Yingya Chen, Dengjia Wang, Jingrui Liu, Xi Luo, Yingying Wang, Huaican Liu, Jiaping Liu
Summary: The study investigates the structural layout and parameter optimization of a PV cooling system which effectively reduces the surface temperature, increases power generation efficiency, and achieves maximum conversion and exergy efficiencies through exponential relationships with mass flow rate. Economic calculations show that the PV cooling system can increase power generation by 7%-15% in typical cities in China.
Article
Green & Sustainable Science & Technology
Ziad M. Ali, Thamer Alquthami, Salem Alkhalaf, Hojat Norouzi, Sajjad Dadfar, Kengo Suzuki
Summary: This study proposes a method combining improved bat algorithm with fuzzy logic controller to achieve effective maximum power point tracking in photovoltaic systems. Results show that the method performs better in various climate conditions compared to traditional MPPT methods.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Construction & Building Technology
Deniz Cura, Mustafa Yilmaz, Hasan Koten, S. Senthilraja, Mohamed M. Awad
Summary: To meet energy demand and reduce environmental pollution, it is necessary to use photovoltaic (PV) modules to generate electrical energy. This study examines the performance of two multi-crystalline based PV plants, and compares the results with PVSYST software simulations. The findings highlight the impact of temperature losses on PV module performance and demonstrate the predictive capabilities of the software.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Thermodynamics
Khuram Pervez Amber, Waseem Akram, Muhammad Anser Bashir, Muhammad Sajid Khan, Anila Kousar
Summary: This study experimentally evaluated the performance of a locally developed passive cooling technique on photovoltaic modules, finding that modules with rectangular fins dissipated more heat, generated more power, and had a higher efficiency compared to modules with circular fins, which had a weaker cooling effect.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Thermodynamics
Mohamed Ghazy, E. M. M. Ibrahim, A. S. A. Mohamed, Ahmed A. Askalany
Summary: This study proposes a new application for cooling photovoltaic cells using an adsorption desalination/cooling system (ADS), which improves the efficiency of the photovoltaic cells and the performance of the desalination system.
Article
Green & Sustainable Science & Technology
Pankaj Verma, Tarlochan Kaur, Raminder Kaur
Summary: The paper proposes a novel deloading-based power control strategy for a dc/dc converter, monitoring MPP using an artificial neural network and adjusting reserve using a fuzzy reserve controller. The suitability of this approach is justified by comparing it with mainstream reserve approaches. The effectiveness of the developed controls is validated through simulations and experimental results.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Agronomy
Isabela Tagomori, Vassilis Daioglou, Pedro Rochedo, Gerd Angelkorte, Roberto Schaeffer, Detlef van Vuuren, Alexandre Szklo
Summary: The study applied the Bioenergy and Land Optimization Spatially Explicit Model (BLOEM) to assess bioenergy supply in the Brazilian context and investigate the role of recovered degraded pasture lands. The results showed different outcomes when optimizing for limiting deforestation and minimizing logistics costs, and revealed that recovering degraded pasture lands is attractive from both logistics and climate perspectives. The BLOEM model provides valuable insights for mapping sustainable bioenergy value chain pathways.
GLOBAL CHANGE BIOLOGY BIOENERGY
(2023)
Article
Environmental Sciences
Fabio T. F. da Silva, Alexandre Szklo, Amanda Vinhoza, Ana Celia Nogueira, Andre F. P. Lucena, Antonio Marcos Mendonca, Camilla Marcolino, Felipe Nunes, Francielle M. Carvalho, Isabela Tagomori, Laura Soares, Marcio Rojas da Cruz, Pedro Rochedo, Raoni Rajao, Regis Rathmann, Roberto Schaeffer, Sonia Regina Mudrovitsch de Bittencourt
Summary: Technological development is crucial for achieving the goals of the Paris Agreement. Technology Needs Assessments (TNAs) are conducted to identify and prioritize climate change mitigation and adaptation technologies in developing countries. However, there is a lack of literature discussing country-specific processes for TNAs. This paper presents empirical evidence from a tailored TNA project in Brazil, highlighting the importance of country-driven processes in shaping international programs according to specific national needs and capabilities.
MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
(2022)
Review
Energy & Fuels
Antonella Mazzone, Denizia Kawany Fulkaxo Cruz, Scorah Tumwebaze, Manari Ushigua, Philipp A. Trotter, Andrea Espinoza Carvajal, Roberto Schaeffer, Radhika Khosla
Summary: Energy development in Indigenous lands has been controversial due to the exclusion of Indigenous knowledge and alternative perspectives. This review calls for a pluralistic approach that incorporates Indigenous narratives and experiences to create more sustainable and people-centric energy interventions.
Article
Multidisciplinary Sciences
Eduardo Muller-Casseres, Alexandre Szklo, Clarissa Fonte, Francielle Carvalho, Joana Portugal-Pereira, Luiz Bernardo Baptista, Pedro Maia, Pedro R. R. Rochedo, Rebecca Draeger, Roberto Schaeffer
Summary: Aviation and shipping account for a significant portion of transportation-related CO2 emissions, and this study examines the potential synergies in decarbonizing these sectors in Brazil.
Article
Economics
Paula Bezerra, Talita Cruz, Antonella Mazzone, Andre F. P. Lucena, Enrica De Cian, Roberto Schaeffer
Summary: This study focuses on the multidimensional aspects of energy poverty in Brazil and highlights the persisting issues of affordability and lack of energy services in certain regions such as the northern and rural areas.
Article
Environmental Sciences
Ana Carolina Oliveira Fiorini, Gerd Angelkorte, Pedro Luiz Maia, Clarissa Bergman-Fonte, Clarissa Vicente, Taisa Morais, Lucas Carvalho, Marianne Zanon-Zotin, Alexandre Szklo, Roberto Schaeffer, Joana Portugal-Pereira
Summary: Bio-sustainable aviation fuels (bio-SAFs) are considered as an important strategy for decarbonizing the aviation sector in the mid-term. This study evaluates the Land-Use Change (LUC) implications of producing bio-SAFs in Brazil under different forest conservation governance scenarios. Four bio-SAF routes are evaluated using Alcohol-to-Jet (ATJ) and Hydroprocessed Esters and Fatty Acids (HEFA) syntheses. The results show that the production of bio-SAFs can lead to different greenhouse gas (GHG) emissions, depending on factors such as deforestation rates and feedstock types. Effective land conservation policies are crucial for reducing LUC GHG emissions and promoting the large-scale production of bio-SAFs.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Economics
Bruno Andrade Diniz, Alexandre Szklo, Mauricio T. Tolmasquim, Roberto Schaeffer
Summary: Brazil has extensive experience using auctions to procure electricity from renewable and non-renewable sources. Our study reveals that introducing a preliminary transmission capacity phase and shifting the risk of transmission grid delays to project developers significantly improves the performance of wind power projects in auctions. Projects with longer lead times take more time to complete, but face lower risks of delays and penalties. The size of the plant affects the likelihood of delays, while the type of auction has no significant impact. Lower bids do not lead to longer delays, suggesting that the Brazilian auction system effectively mitigates the winner's curse. Our findings contribute to the existing literature and offer insights for policymakers on auction design to promote renewable electricity supply expansion.
Article
Green & Sustainable Science & Technology
Camila Callegari, Tarik Tanure, Ana Carolina Oliveira Fiorini, Eduardo Haddad, Edson Domingues, Aline Magalhaes, Fernando Perobelli, Alexandre Porsse, Andre F. P. Lucena, Eveline Vasquez-Arroyo, Mariana Imperio, Luiz Bernardo Baptista, Roberto Schaeffer
Summary: Cities play a crucial role in addressing climate change and achieving sustainable development goals. To assist decision-makers in identifying sustainable solutions, a new methodology was developed that integrates assessment models with a database of available solutions. The results highlight the importance of new technologies, such as renewable energy, although their implementation requires institutional and financial support beyond the capacity of most municipalities. Nevertheless, Brazilian cities can still contribute to sustainability through regulation, financial incentives, and advocacy.
Article
Green & Sustainable Science & Technology
Amanda Vinhoza, Andre F. P. Lucena, Pedro R. R. Rochedo, Roberto Schaeffer
Summary: In this paper, the cost potential of Brazilian offshore wind energy is assessed using a methodological approach that combines spatial suitability analysis and a cost estimation model. The available area for development is mapped and classified based on the Levelized Cost of Energy (LCOE), generating a cost potential map and a cost-supply curve. The results demonstrate that Brazil has a promising market for offshore wind energy, with significant installable capacity and internationally competitive costs.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Thermodynamics
Clarissa Bergman-Fonte, Gabriela Nascimento da Silva, Mariana Imperio, Rebecca Draeger, Leticia Coutinho, Bruno S. L. Cunha, Pedro R. R. Rochedo, Alexandre Szklo, Roberto Schaeffer
Summary: Deep decarbonization scenarios require adaptation in oil refineries due to decreasing fossil oil usage. This study evaluates the refining sector's evolution in Brazil until 2050 using the BLUES integrated assessment model. Strategies related to feedstock production for the petrochemical industry, aviation and maritime fuels, and biomass co-processing are analyzed, along with exploring emissions mitigation options. Findings show that the sector operates at a reduced capacity in decarbonization scenarios, reducing risks of carbon lock-in and asset stranding.
Article
Biodiversity Conservation
Aline C. Soterroni, Mariana Imperio, Marluce C. Scarabello, Nathalie Seddon, Michael Obersteiner, Pedro R. R. Rochedo, Roberto Schaeffer, Pedro R. Andrade, Fernando M. Ramos, Tasso R. Azevedo, Jean P. H. B. Ometto, Petr Havlik, Ane A. C. Alencar
Summary: The study investigates whether existing and expected national policies will allow Brazil to achieve its net-zero greenhouse gas emissions goal by 2050. The results emphasize the critical role of ecosystem protection as the most cost-effective climate mitigation measure for Brazil, highlighting the potential risks of relying on expensive and immature engineered solutions.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Marianne Zanon-Zotin, Clarissa Bergman-Fonte, Taisa Nogueira Morais, Pedro Luiz Barbosa Maia, Lucas Carvalho, Gerd Angelkorte, Ana Carolina Oliveira Fiorini, Pedro Rua Rodriguez Rochedo, Joana Portugal-Pereira, Alexandre Szklo, Roberto Schaeffer
Summary: This study evaluates the life cycle of bioethylene production in Brazil, the EU, and the US and finds that bioethylene production through catalytic dehydration of sugar-cane bioethanol in Brazil has the lowest greenhouse gas emissions. However, when excluding biogenic carbon storage, none of the pathways outperform conventional fossil-based steam cracking.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Multidisciplinary Sciences
Ploy Achakulwisut, Peter Erickson, Celine Guivarch, Roberto Schaeffer, Elina Brutschin, Steve Pye
Summary: The Intergovernmental Panel on Climate Change's mitigation scenarios database is a valuable resource for policymakers, but there are variations in models and scenario designs. This analysis focuses on scenarios with warming limited to 2 degrees C or below, examining the feasibility and trajectory of different fossil fuel reduction pathways. The findings emphasize the importance of clear reduction benchmarks in coal, oil, and gas production and use, along with other climate mitigation targets.
NATURE COMMUNICATIONS
(2023)
Article
Environmental Sciences
Ana Carolina Oliveira Fiorini, Pedro Rua Rodriguez Rochedo, Gerd Angelkorte, Fabio A. Diuana, Mariana Imperio, Lucas Silva Carvalho, Taisa Nogueira Morais, Eveline Vasquez-Arroyo, Roberto Schaeffer
Summary: This study investigates the impact of different climate mitigation scenarios on terrestrial biodiversity in Brazil using integrated assessment models. The results indicate that strengthening climate change mitigation actions can reduce biodiversity loss, and Brazil has the opportunity to align its biodiversity and climate goals through nature-based solutions.
JOURNAL OF INTEGRATIVE ENVIRONMENTAL SCIENCES
(2023)
Article
Thermodynamics
Marcus Vinicius da Silva Neves, Alexandre Szklo, Roberto Schaeffer
Summary: The concept of Energy Return On Investment (EROI) has been proven useful, but needs to be extended to include CO2 capture and environmental effects in the energy transition. This study introduces the concept of Exergy Return on Environment and Energy Investment (ExROEEI) to assess fossil fuel sources complying with CO2 emission limits. Applying this concept to a coal-based power plant with CO2 capture, the ExROEEI ratio is 2.06:1, raising questions about its energy feasibility.
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.