Browsing by Author "Cardemil Iglesias, Jose Miguel"
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- ItemA comparison of packed-bed flow topologies for high-temperature thermal energy storage under constrained conditions(2024) Ignacio Calderón-Vásquez; Cardemil Iglesias, Jose Miguel
- ItemA discrete element approach to model packed bed thermal storage(2022) David Gaviño; Eduardo Cortés; Jesús García; Ignacio Calderón-Vásquez; Cardemil Iglesias, Jose Miguel; Danilo Estay; Rodrigo Barraza
- ItemA GIS-AHP approach for determining the potential of solar energy to meet the thermal demand in southeastern Spain productive enclaves(2023) J.A. Romero-Ramos; J.D. Gil; Cardemil Iglesias, Jose Miguel; R.A. Escobar; I. Arias; M. Pérez-García
- Item"An enhanced and optimized Monte Carlo method to calculate view factors in packed beds"(2023) Cortes, Eduardo; Gavino, David; Calderon-Vasquez, Ignacio; Garcia, Jesus; Estay, Danilo; Cardemil Iglesias, Jose Miguel; Barraza, Rodrigo
- ItemAssessing one-minute diffuse fraction models based on worldwide climate features(2021) Starke, A.R.; Lemos, L.F.L.; Barni, C.M.; Machado, R.D.; Cardemil Iglesias, Jose Miguel; Boland, J.; Colle, S.
- ItemAssessing the Hybridization of an Existing Geothermal Plant by Coupling a CSP System for Increasing Power Generation(2022) Yanara Tranamil-Maripe; Cardemil Iglesias, Jose Miguel; Rodrigo Escobar; Diego Morata; Cristóbal Sarmiento-Laurel
- ItemAssessing the synergy between a seawater pumping system for mining facilities and the cooling system of a CSP plant in Northern Chile(2022) Jorge A. Gacitúa; Rodrigo Palma-Behnke; Cardemil Iglesias, Jose Miguel; María Teresa Cerda; Felipe Godoy; Frank Dinter
- ItemAssessing the Uncertainties of Simulation Approaches for Solar Thermal Systems Coupled to Industrial Processes(2022) Cardemil Iglesias, Jose Miguel; Ignacio Calderón-Vásquez; Alan Pino; Allan Starke; Ian Wolde; Carlos Felbol; Leonardo F. L. Lemos; Vinicius Bonini; Ignacio Arias; Javier Iñigo-Labairu; Jürgen Dersch; Rodrigo Escobar
- ItemAssessing the use of copper slags as thermal energy storage material for packed-bed systems(2021) Cardemil Iglesias, Jose Miguel
- ItemDemand-Side Optimal Sizing of a Solar Energy–Biomass Hybrid System for Isolated Greenhouse Environments: Methodology and Application Example(2021) Juan D. Gil; Jerónimo Ramos-Teodoro; José A. Romero-Ramos; Rodrigo Escobar; Cardemil Iglesias, Jose Miguel; Cynthia Giagnocavo; Manuel Pérez
- ItemDeveloping temporal clustering for identifying solar radiation zones to improve separation models(Palgrave Macmillan, Cham, 2026) Rodriguez, E.; Cardemil Iglesias, Jose Miguel; Droguett, E.L.© 2025 Elsevier LtdAccurate solar-plant design requires detailed measurement campaigns to determine the site's radiative conditions. In the absence of empirical data, researchers employ separation models to estimate solar radiation components by calibrating polynomial coefficients with local meteorological data. Previous studies have adjusted these coefficients for various climate zones using the Köppen & Geiger classification, originally devised to demarcate regions based on plant distributions. Consequently, applying this classification to solar radiation may merge areas with different radiative characteristics, resulting in flawed assessments. This study describes a clustering technique that treats solar radiation as temporal data through the Discrete Fourier Transform and the Time Series Feature Extraction Library. By selecting input variables based on atmospheric attenuation and sky conditions, the K-means algorithm identified six clusters as the optimal solution, validated with a widely used separation model adjusted for the new clusters. The results of the estimation for the Cluster-adjusted model were then compared to the same separation model adjusted to the Köppen & Geiger classification. The Cluster-adjusted model showed superior performance in 34 of 50 stations, which shows that grouping meteorological stations according to their radiative characteristics achieves better results than dividing them on the basis of climate.
- ItemEstimation of one-minute direct normal irradiance using a deep neural network for five climate zones(2023) Eduardo Rodríguez; Lorena Cornejo-Ponce; Cardemil Iglesias, Jose Miguel; Allan R. Starke; Enrique López Droguett
- ItemExergy Analysis and Off-Design Modeling of a Solar-Driven Supercritical CO2 Recompression Brayton Cycle(2023) Felipe G. Battisti; Carlos F. Klein; Rodrigo A. Escobar; Cardemil Iglesias, Jose Miguel
- ItemExperimental investigation and performance assessment of a solar-driven thermoelectric unit for localized heating and cooling applications(2021) Koohi, N.; Nasirifar, S.; Behzad, M.; Cardemil Iglesias, Jose Miguel
- ItemHybrid System of Photovoltaic and Solar Thermal Technologies for Industrial Process Heat(2023) Josué F. Rosales-Pérez; Andrés Villarruel-Jaramillo; José A. Romero-Ramos; Manuel Pérez-García; Cardemil Iglesias, Jose Miguel; Rodrigo Escobar
- ItemIntegration schemes for hybrid and polygeneration concentrated solar power plants(2021) Cardemil Iglesias, Jose Miguel; Allan R. Starke; Adriana Zurita; Carlos Mata‐Torres; Rodrigo Escobar
- ItemLatest developments, assessments and research trends for next generation of concentrated solar power plants using liquid heat transfer fluids(2022) I. Arias; Cardemil Iglesias, Jose Miguel; E. Zarza; L. Valenzuela; R. Escobar
- ItemLocal entropy generation model for numerical CFD analysis of fluid flows through porous media, under laminar and turbulent regimes(2022) Cristóbal Sarmiento-Laurel; Cardemil Iglesias, Jose Miguel; Williams R. Calderón-Muñoz
- ItemModeling and Performance Evaluation of Hybrid Solar Cooling Systems Driven by Photovoltaic and Solar Thermal Collectors—Case Study: Greenhouses of Andalusia(2023) Andrés Villarruel-Jaramillo; Josué F. Rosales-Pérez; Manuel Pérez-García; Cardemil Iglesias, Jose Miguel; Rodrigo Escobar
- ItemMulti-objective deep reinforcement learning for a water heating system with solar energy and heat recovery(2024) Adrián Riebel; Cardemil Iglesias, Jose Miguel; Enrique López