Mechanical Engineering, Energy, Nuclear Energy and Engineering
34
Scopus Publications
709
Scholar Citations
13
Scholar h-index
17
Scholar i10-index
Scopus Publications
Thermodynamic performance evaluation of three generations of a magnetic air-conditioning prototype Guilherme F. Peixer, Anderson M. Lorenzoni, Paulo V. de Faria, Alan T.D. Nakashima, Cristiano S. Teixeira, Jader R. Barbosa Jr, Jaime A. Lozano International Journal of Refrigeration, 2026 This study presents an experimental evaluation of the thermodynamic performance of three generations of a magnetic air-conditioning prototype. The constraints, operating conditions and design modifications introduced after each prototype generation are identified and discussed in detail. The main motivation for the changes leading to the three generations was the availability and reliability of the commercial magnetocaloric material used, which were limited by supply-chain constraints, chemical and mechanical instability, and low manufacturing reproducibility. Dedicated engineering solutions were developed to address these limitations, enabling the experimental evaluation of three successive generations of the system. The performance of each generation was assessed using metrics such as cooling capacity, temperature span, coefficient of performance and second-law efficiency, evaluated at both the active magnetic regenerator and system levels. The first prototype established a robust experimental benchmark, delivering the required temperature span for air-conditioning operation under practical conditions. It operated between thermal reservoir temperatures of 22 ∘ C and 35 ∘ C and achieved cooling capacities up to 480 W. Advanced thermodynamic analysis further highlighted the high-efficiency potential of magnetic refrigeration at the regenerator level, while demonstrating that losses associated with auxiliary components are the dominant factor limiting system-level performance. Overall, the three prototype versions provide a validated experimental foundation and a clear pathway for future improvements, particularly through targeted optimization of supporting components and their integration with the magnetic cycle.
From concept to operation: Design strategies, experimental evaluation, and engineering challenges across three generations of a magnetocaloric air conditioner Guilherme Fidelis Peixer, Anderson Martins Lorenzoni, Paulo Vítor Faria, Diego Daniel de Amorim Camilo Reif, Alan Tihiro Dias Nakashima, Cristiano da Silva Teixeira, Jaime Andres Lozano Cadena, Jader Riso Barbosa Aip Advances, 2026 Heating, refrigeration, and air conditioning systems account for 7.8% of global greenhouse gas emissions and 20% of global electricity consumption. Moreover, the demand for air conditioning is expected to triple by 2050. Magnetocaloric technology has emerged as a promising alternative, with the potential to eliminate the use of volatile fluids and reduce energy consumption. This study presents the design strategies, experimental evaluation, and key insights from the development and operation of a pilot-scale magnetocaloric air conditioner. The system was designed and optimized using Artificial Neural Networks and Genetic Algorithms, and incorporates a rotor-stator magnetic circuit, La(Fe,Mn,Si)13Hz refrigerants, and tube-fin heat exchangers. Three prototype generations were designed and commissioned, each incorporating modifications based on operational constraints. The performance evaluation highlights this prototype as achieving one of the highest cooling capacities and temperature spans reported in the literature. Also, it is the only system reported to successfully refrigerate a cold room without emulating the thermal load using heaters. The first-generation prototype delivered the best performance, achieving the required temperature spans for air conditioning (22–35 °C), although its cooling power was limited to a peak of 480 W. These results show the progress made and the obstacles that still need to be overcome to advance this technology.
Influence of Layering and Curie Temperature Uncertainty on the Performance of Multilayer Active Magnetic Regenerators Urban Tomc, Guilherme F. Peixer, Christian R. H. Bahl, Kaspar K. Nielsen, Jaime A. Lozano, Jader R. Barbosa, A. Kitanovski Advanced Functional Materials, 2025 Magnetic refrigeration is a promising alternative to traditional vapor compression systems, with potential efficiency and environmental sustainability advantages. However, the narrow operational temperature range of magnetocaloric materials (MCMs) and their reliance on rare‐earth elements remain key challenges. Multilayer active magnetic regenerators (AMRs) address the temperature range limitations by combining multiple magnetocaloric layers, each with different Curie temperatures. This study investigates the impact of statistical deviations in Curie temperatures on the performance of multilayer AMRs, specifically using second‐order La‐Fe‐Co‐Si materials. A 1D multilayer AMR numerical model is developed to simulate the effects of Curie temperature variability, with radial basis function neural networks employed to efficiently predict performance. The results indicate that although increasing the number of MCM layers enhances cooling power and coefficient of performance (COP), Curie temperature uncertainties significantly degrade the AMR performance. The likelihood of achieving cooling targets diminishes as the number of MCM layers increases, particularly for standard deviations exceeding 1 K. These findings emphasize the importance of accounting for Curie temperature uncertainties in AMR design. Moreover, enhancing the manufacturing precision of the Curie temperatures of MCMs is essential for improving the performance and commercialization of magnetocaloric technology.
Energy and efficiency breakdown analysis of a magnetic refrigerator Guilherme F. Peixer, Maria C.R. Silva, Anderson Lorenzoni, Gislaine Hoffmann, Diego dos Santos, Gabriel M. do Rosário, Elias Pagnan, Hígor F. Teza, Pedro M. Silva, Yan C. Azeredo, Sergio L. Dutra, Alan T.D. Nakashima, Cristiano S. Teixeira, Jader R. Barbosa, Jaime A. Lozano Applied Thermal Engineering, 2025
Value deployment in set-based design: Design space propagation to integrate manufacturing in the narrowing-down process Mayara Silvestre de Oliveira, Guilherme Fidelis Peixer, Marcelo Augusto Rosa, Fernando Antônio Forcellini, Jader Riso Barbosa, Jaime Andrés Lozano Cadena Systems Engineering, 2025 Value is crucial to lean product development (LPD) and set‐based design (SBD). Nevertheless, the literature needs to present more research on value definition and deployment to support exploring the design space. This scenario hinders the operationalization of lean initiatives in product development. This paper proposes a value deployment (VD) method for SBD, applying quality function deployment (QFD) matrices. We undertook a research action on the design of a TRL‐6 magnetic air conditioner. As a result, we aligned teams and development efforts toward value, building clarity and cohesion about the contribution of subsystems to product performance. Furthermore, VD enabled the integration of manufacturing in decision‐making. Our work paves the way for SBD in terms of practical relevance for industrial and systems engineering, assisting managers in adopting LPD and aligning integrated product teams toward value.
Machine Learning Methodologies Applied to Magnetocaloric Perovskites Discovery Luis E. Castro-Anaya, Eduardo Marese, Jaime A. Lozano, Guilherme F. Peixer, Jader R. Barbosa, Sergio Yesid Gómez González Journal of Chemical Information and Modeling, 2025 Traditionally, designing novel materials involves exploring new compositions guided by insights from previous work, relying on a trial-and-error approach, where continuous synthesis and characterization proceed until the properties meet the improvements. This method is inefficient due to the challenges of exploring vast chemical spaces. In this study, a machine-learning-based methodology is developed to assist the design from available data in the literature, allowing us to test in silico more than 1.2 million compositions. Two databases with 1227 inputs were created from published studies. Four machine learning (ML) models were trained over the feature sets using 517 compositional features (generated from 58 atomic properties) to predict magnetocaloric properties of perovskites: Curie temperature (TC), magnetic entropy change (ME), and relative cooling power (RCP). The best model-feature combinations were used to explore the chemical space of lanthanum, praseodymium, and neodymium manganites, identifying composition trends for different temperature applications, including room temperature refrigeration, where the most suitable combinations of doping elements were highlighted. The study offers valuable guidelines for future research insights on magnetocaloric materials, and the methodology can be transferred to other perovskite related material areas, such as catalysts and solar cell materials.
Influence of the Magnetic State in the Thermo-Structural Properties of Commercially Available La(Fe,Si,Mn)13Hz Microparticles Applied in Magnetic Refrigeration Prototypes Diego D. A. C. Reif, Allan M. Döring, Felipe M. Andre, Claudio M. Poffo, Guilherme F. Peixer, Jaime A. Lozano, Jader R. Barbosa, Cristiano S. Teixeira IEEE Transactions on Magnetics, 2025 La(Fe,Si,Mn)<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">13</sub>H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">z</sub> are among the most promising magnetocaloric materials (MCMs) used in room-temperature magnetic refrigeration. They exhibit an intense magnetocaloric effect (MCE), a low content of rare-earth elements and a tunable Curie Temperature (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>C</sub></i>), the temperature at which the MCE reaches its apex. MCMs are assembled in a porous-layered component called active magnetic regenerator (AMR), where the materials are arranged to achieve a gradient of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>C</sub></i> values. Since the material constantly changes its magnetic state to trigger the giant MCE, it is important to analyze how its properties behave in both ferro- and paramagnetic states. Besides that, although commercially available La(Fe,Si,Mn)<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">13</sub>H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">z</sub> compounds have been used in several studies in recent years, they cannot achieve the expected performance based on lab-made materials. This work investigates how the thermo-structural properties of several batches of commercially available La(Fe,Si,Mn)<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">13</sub>H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">z</sub> microspheres, with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>C</sub></i>s ranging from 282 K to 307 K, vary according to the magnetic state of these materials at its application temperature, the room temperature. X-ray diffraction (XRD) analysis revealed that the magnetic state has a significant influence on the microstructural properties of the MCM. The crystallographic density of the magnetocaloric phase of the materials that were in the ferromagnetic state was about 1% higher than those in the paramagnetic state. Furthermore, the crystallographic results showed that the magnetic state of the magnetocaloric phase also affects the structure of secondary phases present in the material, such as the α-Fe, which suffers a 1% density reduction during the magnetic transition of the magnetocaloric phase. Similarly, photoacoustic absorption spectroscopy (PAS) results unveiled that the samples in the ferromagnetic state have higher values of thermal diffusivity, reaching up to 7.9 mm²/s, while materials in the paramagnetic state range from 4.5 to 5.5 mm²/s. Also, the PAS analysis also highlighted a key difference between commercially available materials and lab-scale compounds, the latter of which have lower values of thermal diffusivity (up to 1.5 mm²/s) because of the lack of a conductive secondary phase. The results presented in this paper highlight the importance of considering the differences between the properties of commercially available materials and laboratory-made ones and also the fluctuation of thermal and structural properties depending on the material’s magnetic state, which are key factors when designing magnetic refrigeration prototypes and simulating their performance.
Thermodynamic assessment of a large-scale magnetic air conditioning prototype G. F. Peixer, A. Lorenzoni, Yan C. Azeredo, Pedro M. Silva, Maria Claudia Régio e Silva, Gislaine Hoffmann, Diego dos Santos, Sergio L. Dutra, Gabriel M. do Rosário, Hígor F. Teza, Elias Pagnan, Rogerio Sucaria, L. F. Cattelan, Diego D.A.C. Reif, Chen T. Hsuan, Allan M. Döring, Paulo Faria, Bernardo P. Vieira, F. P. Fortkamp, Mayara S. de Olivera, A. Nakashima, F. Forcellini, R. C. Flesch, Cristiano S. Teixeira, J. Lozano, J. Barbosa International Journal of Refrigeration, 2024
Performance Evaluation of TRL-6 Magnetic Refrigeration Prototypes Guilherme F. Peixer, Alan T. D. Nakashima, Natália M. De Sá, Yan Azeredo, Anderson Lorenzoni, Glenda M. Da Luz, Rogério S. Sucaria, Allan M. Döring, Paulo V. De Faria, Bernardo P. Vieira, Cristiano S. Teixeira, Jaime A. Lozano, Jader R. Barbosa 2024 IEEE International Magnetic Conference Short Papers Intermag Short Papers 2024 Proceedings, 2024
A magnetocaloric air-conditioning system prototype G. F. Peixer, Maria Claudia Régio e Silva, A. Lorenzoni, Gislaine Hoffmann, Diego dos Santos, Gabriel M. do Rosário, Elias Pagnan, Hígor F. Teza, Pedro M. Silva, Sergio L. Dutra, Marcelo C. Ribeiro, Marcelo A. Rosa, Allan M. Döring, Bernardo P. Vieira, A. Nakashima, P. Wendhausen, C. S. Teixeira, J. Lozano, J. Barbosa International Journal of Refrigeration, 2023
A magnetic wine cooler prototype Alan T.D. Nakashima, Fábio P. Fortkamp, Natália M. de Sá, Victor M.A. dos Santos, Gislaine Hoffmann, Guilherme F. Peixer, Sergio L. Dutra, Marcelo C. Ribeiro, Jaime A. Lozano, Jader R. Barbosa International Journal of Refrigeration, 2021
Thermodynamic Performance Evaluation of Three Generations of a Magnetic Air-Conditioning Prototype GF Peixer, AM Lorenzoni, PV de Faria, ATD Nakashima, CS Teixeira, ... International Journal of Refrigeration, 106952 , 2026 2026
3W Dataset 2.0. 0: a realistic and public dataset with rare undesirable real events in oil wells RE Vaz Vargas, AJ de Melo Junior, CB de Campos Lima, JCD de Araújo, ... Scientific Data , 2026 2026 Citations: 7
From concept to operation: Design strategies, experimental evaluation, and engineering challenges across three generations of a magnetocaloric air conditioner GF Peixer, AM Lorenzoni, PV Faria, DD de Amorim Camilo Reif, ... AIP Advances 16 (2) , 2026 2026
Optimization of the performance of magnetic refrigeration systems using artificial intelligence GF Peixer 2026
Influence of layering and curie temperature uncertainty on the performance of multilayer active magnetic regenerators U Tomc, GF Peixer, CRH Bahl, KK Nielsen, JA Lozano, JR Barbosa, ... Advanced Functional Materials 35 (52), e24282 , 2025 2025 Citations: 8
Influence of the magnetic state in the thermo-structural properties of commercially available La(Fe,Si,Mn) 13 H z microparticles applied in magnetic refrigeration … DDAC Reif, AM Döring, FM Andre, CM Poffo, GF Peixer, JA Lozano, ... IEEE Transactions on Magnetics , 2025 2025 Citations: 1
Ai-driven monte carlo uncertainty analysis of curie temperature effects on active magnetic regenerator performance GF Peixer, U Tomc, A Kitanovski, JA Lozano, JR Barbosa International Journal of Refrigeration , 2025 2025 Citations: 5
Energy and efficiency breakdown analysis of a magnetic refrigerator GF Peixer, MCR Silva, A Lorenzoni, G Hoffmann, D dos Santos, ... Applied Thermal Engineering, 128157 , 2025 2025 Citations: 3
Experimental Evaluation and Performance Optimization of Large-Scale Magnetic Refrigeration Prototype for Air Conditioning Systems GF Peixer, AM Lorenzoni, RS Sucaria, P Faria, AT Nakashima, ... REHVA HVAC World Congress, 940-949 , 2025 2025 Citations: 1
3W Dataset 2.0. 0: a realistic and public dataset with rare undesirable real events in oil wells R Emanuel Vaz Vargas, A José de Melo Junior, C José Munaro, ... arXiv e-prints, arXiv: 2507.01048 , 2025 2025
Value deployment in set‐based design: Design space propagation to integrate manufacturing in the narrowing‐down process MS De Oliveira, GF Peixer, MA Rosa, FA Forcellini, JR Barbosa Jr, ... Systems Engineering 28 (2), 175-189 , 2025 2025 Citations: 2
Machine learning methodologies applied to magnetocaloric perovskites discovery LE Castro-Anaya, E Marese, JA Lozano, GF Peixer, JR Barbosa Jr, ... Journal of Chemical Information and Modeling 65 (4), 1812-1825 , 2025 2025 Citations: 11
Predicting the dynamic behavior of a magnetocaloric cooling prototype via artificial neural networks PM Silva, GF Peixer, AM Lorenzoni, YC Azeredo, RCC Flesch, JA Lozano, ... Applied Thermal Engineering 248, 123060 , 2024 2024 Citations: 15
WELLBOREPROPS: UM PACOTE COMPUTACIONAL PARA CÁLCULO DE PROPRIEDADES DE FLUIDOS DE POÇOS FP Fortkamp, EBDM Alves, BP Vieira, GF Peixer, MA Pereira, ... Revista Técnico-Científica , 2024 2024
Design of magnetic circuits for magnetocaloric refrigeration via topology optimization LFP Cattelan, GF Peixer, MVF da Luz, JR Barbosa, JA Lozano IEEE Transactions on Magnetics 60 (9), 1-5 , 2024 2024 Citations: 4
Performance Evaluation of TRL-6 Magnetic Refrigeration Prototypes GF Peixer, ATD Nakashima, NM De Sá, Y Azeredo, A Lorenzoni, ... 2024 IEEE International Magnetic Conference-Short papers (INTERMAG Short … , 2024 2024 Citations: 1
Thermodynamic assessment of a large-scale magnetic air conditioning prototype GF Peixer, AM Lorenzoni, YC Azeredo, PM Silva, MCR Silva, G Hoffmann, ... International Journal of Refrigeration 160, 40-53 , 2024 2024 Citations: 15
Long-time aging of La (Fe, Si, Mn) 13Hz microparticles using different fluids for magnetic refrigeration systems AM Döring, DDAC Reif, MA Rosa, GF Peixer, F Maccari, K Skokov, ... Journal of Magnetism and Magnetic Materials 591, 171721 , 2024 2024 Citations: 23
Static and dynamic modeling and identification of a magnetic refrigerator G Hoffmann, ATD Nakashima, GF Peixer, JA Lozano, JR Barbosa Jr, ... International Journal of Refrigeration 158, 303-312 , 2024 2024 Citations: 9
AI-enhanced generative design for efficient heat exchangers in thermoelectric generators: revolutionizing waste heat recovery in thermoelectricity/Andrew Robert Martin Hughes … RMH Andrew, BS Bhathal Singh, MF Remeli, GF Peixer, WK Ratan Singh Journal of Mechanical Engineering (JMechE) 13 (1), 235-255 , 2024 2024
MOST CITED SCHOLAR PUBLICATIONS
Performance assessment of different porous matrix geometries for active magnetic regenerators PV Trevizoli, AT Nakashima, GF Peixer, JR Barbosa Jr Applied Energy 187, 847-861 , 2017 2017 Citations: 97
Performance evaluation of an active magnetic regenerator for cooling applications–part I: Experimental analysis and thermodynamic performance PV Trevizoli, AT Nakashima, GF Peixer, JR Barbosa Jr International Journal of Refrigeration 72, 192-205 , 2016 2016 Citations: 92
Design of nested Halbach cylinder arrays for magnetic refrigeration applications PV Trevizoli, JA Lozano, GF Peixer, JR Barbosa Jr Journal of Magnetism and Magnetic Materials 395, 109-122 , 2015 2015 Citations: 75
A magnetic wine cooler prototype ATD Nakashima, FP Fortkamp, NM de Sa, VMA dos Santos, G Hoffmann, ... International Journal of Refrigeration 122, 110-121 , 2021 2021 Citations: 73
A magnetocaloric air-conditioning system prototype GF Peixer, MCR Silva, A Lorenzoni, G Hoffmann, D dos Santos, ... International Journal of Refrigeration 151, 1-13 , 2023 2023 Citations: 51
Thermal–hydraulic evaluation of oscillating-flow regenerators using water: Experimental analysis of packed beds of spheres PV Trevizoli, GF Peixer, JR Barbosa Jr International journal of heat and mass transfer 99, 918-930 , 2016 2016 Citations: 35
Influence of inlet flow maldistribution and carryover losses on the performance of thermal regenerators PV Trevizoli, GF Peixer, AT Nakashima, MS Capovilla, JA Lozano, ... Applied Thermal Engineering 133, 472-482 , 2018 2018 Citations: 30
A lumped-element magnetic refrigerator model ATD Nakashima, GF Peixer, JA Lozano, JR Barbosa Jr Applied Thermal Engineering 204, 117918 , 2022 2022 Citations: 28
System-level multi-objective optimization of a magnetic air conditioner through coupling of artificial neural networks and genetic algorithms GF Peixer, ATD Nakashima, JA Lozano, JR Barbosa Jr Applied Thermal Engineering 227, 120368 , 2023 2023 Citations: 27
Influence of heat exchanger design on the thermal performance of a domestic wine cooler driven by a magnetic refrigeration system GF Peixer, SL Dutra, RSC Sá, M Natália, GB Lang, JA Lozano, ... Annals of the Brazilian Academy of Sciences 94 (1) , 2020 2020 Citations: 24
Long-time aging of La (Fe, Si, Mn) 13Hz microparticles using different fluids for magnetic refrigeration systems AM Döring, DDAC Reif, MA Rosa, GF Peixer, F Maccari, K Skokov, ... Journal of Magnetism and Magnetic Materials 591, 171721 , 2024 2024 Citations: 23
Predicting the dynamic behavior of a magnetocaloric cooling prototype via artificial neural networks PM Silva, GF Peixer, AM Lorenzoni, YC Azeredo, RCC Flesch, JA Lozano, ... Applied Thermal Engineering 248, 123060 , 2024 2024 Citations: 15
Thermodynamic assessment of a large-scale magnetic air conditioning prototype GF Peixer, AM Lorenzoni, YC Azeredo, PM Silva, MCR Silva, G Hoffmann, ... International Journal of Refrigeration 160, 40-53 , 2024 2024 Citations: 15
Machine learning methodologies applied to magnetocaloric perovskites discovery LE Castro-Anaya, E Marese, JA Lozano, GF Peixer, JR Barbosa Jr, ... Journal of Chemical Information and Modeling 65 (4), 1812-1825 , 2025 2025 Citations: 11
Innovation level in set-based design: an integrated approach with chosen-to-fit and custom-to-fit solutions M Silvestre de Oliveira, G Fidelis Peixer, FA Forcellini, ... Journal of Engineering Design 33 (12), 990-1015 , 2022 2022 Citations: 11
Model-based trade-off curves to support the set-based concurrent engineering of highly innovative projects M Silvestre De Oliveira, G Fidelis Peixer, FA Forcellini, J Riso Barbosa Jr, ... Concurrent Engineering 31 (3-4), 89-100 , 2023 2023 Citations: 10
Development and characterization of a calibrated calorimeter to evaluate air conditioning systems MCR Silva, GS Rosário, SL Dutra, M Capovilla, R Lima, A Lorenzoni, ... Proceedings of the 26th COBEM. ABCM , 2021 2021 Citations: 10
Static and dynamic modeling and identification of a magnetic refrigerator G Hoffmann, ATD Nakashima, GF Peixer, JA Lozano, JR Barbosa Jr, ... International Journal of Refrigeration 158, 303-312 , 2024 2024 Citations: 9
Designing a hydraulic management system for a large-scale magnetic refrigerator DD Santos, SL Dutra, MC Ribeiro, AM Lorenzoni, GMD Rosário, ... 9th IIR International Conference on Caloric Cooling and Applications of … , 2021 2021 Citations: 9
Performance evaluation of AMRs using different casings GF Peixer, JA Lozano, JR Barbosa Jr Book of Abstracts for the Danish Days on Caloric Materials and Devices , 2017 2017 Citations: 9
