Solar chimneys are renewable energy systems designed to enhance natural ventilation,improving thermal comfort in buildings.As passive systems,solar chimneys contribute to energy efficiency in a sustainable and environ...Solar chimneys are renewable energy systems designed to enhance natural ventilation,improving thermal comfort in buildings.As passive systems,solar chimneys contribute to energy efficiency in a sustainable and environmentally friendly way.The effectiveness of a solar chimney depends on its design and orientation relative to the cardinal directions,both of which are critical for optimal performance.This article presents a supervised learning approach using artificial neural networks to forecast the performance indicators of solar chimneys.Thedataset includes information from 2784 solar chimney configurations,which encompasses various factors such as chimney height,channel thickness,glass thickness,paint,wall material,measurement date,and orientation.The case study examines the four cardinal orientations and weather data from Mexico City,covering the period from 01 January to 31 December 2024.The main results indicate that the proposed artificial neural network models achieved higher coefficient of determination values(0.905-0.990)than the baseline method across performance indicators of the solar chimney system,demonstrating greater accuracy and improved generalization.The proposed approach highlights the potential of using artificial neural networks as a decision-making tool in the design stage of solar chimneys in sustainable architecture.展开更多
In this paper some new results concerning the C_p classes introduced by Muckenhoupt(1981)and later extended by Sawyer(1983),are provided.In particular,we extend the result to the full expected range p>0,to the weak...In this paper some new results concerning the C_p classes introduced by Muckenhoupt(1981)and later extended by Sawyer(1983),are provided.In particular,we extend the result to the full expected range p>0,to the weak norm,to other operators and to their vector-valued extensions.Some of those results rely upon sparse domination,which in the vector-valued case are provided as well.We will also provide sharp weighted estimates for vector-valued extensions relying on those sparse domination results.展开更多
ed from any human valuation.The ecosystem services approach has become the dominant criterion for studying human and natural rela-tionships,but this and similar approaches concentrate on the human advantage giving lit...ed from any human valuation.The ecosystem services approach has become the dominant criterion for studying human and natural rela-tionships,but this and similar approaches concentrate on the human advantage giving little or no regard for the well-being of the ecosystem.Although there is concern about preserving and recuperating damaged ecosystems,we seldom consider how much the ecosystem values itself.Then,we propose that Inner Value could be a tool to evalu-ate and model ecosystems’health before any anthropic disturbance,allowing comparison with the impact these disturbances may have in the future.We also suggest that it should be a requirement for any Environmental Impact Assessment.展开更多
文摘Solar chimneys are renewable energy systems designed to enhance natural ventilation,improving thermal comfort in buildings.As passive systems,solar chimneys contribute to energy efficiency in a sustainable and environmentally friendly way.The effectiveness of a solar chimney depends on its design and orientation relative to the cardinal directions,both of which are critical for optimal performance.This article presents a supervised learning approach using artificial neural networks to forecast the performance indicators of solar chimneys.Thedataset includes information from 2784 solar chimney configurations,which encompasses various factors such as chimney height,channel thickness,glass thickness,paint,wall material,measurement date,and orientation.The case study examines the four cardinal orientations and weather data from Mexico City,covering the period from 01 January to 31 December 2024.The main results indicate that the proposed artificial neural network models achieved higher coefficient of determination values(0.905-0.990)than the baseline method across performance indicators of the solar chimney system,demonstrating greater accuracy and improved generalization.The proposed approach highlights the potential of using artificial neural networks as a decision-making tool in the design stage of solar chimneys in sustainable architecture.
基金supported by the Basque Government through the Basque Excellence Research Centre 2018–2021 ProgramAgencia Estatal de Investigacion/European Regional Development Fund of UE(Grant No.MTM 2017-82160-C2-1-P),Acronym“Harmonic Analysis and Quantum Mechanics”+4 种基金Spanish Ministry of Economy and Competitiveness through Basque Center for Applied Mathematics Severo Ochoa Excellence Accreditation(Grant No.SEV-2013-0323)Universidad Nacional del Sur(Grant No.11/X752)Agencia Nacional de Promocion Cientifica y Tecnologica of Argentina(Grant No.PICT 2014-1771)Juan de la Cierva-Formacion2015(Grant No.FJCI-2015-24547)Consejo Nacional de Investigaciones Cientificas y Tecnicas/Proyectos de Investigacion Plurianuales of Argentina(Grant No.11220130100329CO)。
文摘In this paper some new results concerning the C_p classes introduced by Muckenhoupt(1981)and later extended by Sawyer(1983),are provided.In particular,we extend the result to the full expected range p>0,to the weak norm,to other operators and to their vector-valued extensions.Some of those results rely upon sparse domination,which in the vector-valued case are provided as well.We will also provide sharp weighted estimates for vector-valued extensions relying on those sparse domination results.
文摘ed from any human valuation.The ecosystem services approach has become the dominant criterion for studying human and natural rela-tionships,but this and similar approaches concentrate on the human advantage giving little or no regard for the well-being of the ecosystem.Although there is concern about preserving and recuperating damaged ecosystems,we seldom consider how much the ecosystem values itself.Then,we propose that Inner Value could be a tool to evalu-ate and model ecosystems’health before any anthropic disturbance,allowing comparison with the impact these disturbances may have in the future.We also suggest that it should be a requirement for any Environmental Impact Assessment.
