Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Carlos Fernández-Bandera"'
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract Achieving sustainable development is today a basic premise for all companies and governments. The 2030 Agenda has outlined an action plan focused on all areas and interest groups. Achieving economic growth and technological progress, social
Externí odkaz:
https://doaj.org/article/4af9f67b48034965bcfea86dbf97be09
Publikováno v:
Buildings, Vol 13, Iss 2, p 511 (2023)
Building retrofitting is an efficient means of reducing greenhouse gas emissions. Its first focus is on building façade, as transmission and air leakage are the main sources of energy loss in buildings. Nowadays, building modellers cannot easily imp
Externí odkaz:
https://doaj.org/article/9f87a4100e4547dc90f1415faa1eb388
Autor:
Vicente Gutiérrez González, Germán Ramos Ruiz, Hu Du, Ana Sánchez-Ostiz, Carlos Fernández Bandera
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7361 (2022)
In the fight against climate change, energy modeling is a key tool used to analyze the performance of proposed energy conservation measures for buildings. Studies on the integration of photovoltaic energy in buildings must use calibrated building ene
Externí odkaz:
https://doaj.org/article/d871d2d37aae454490b10ee1cb4b2704
Publikováno v:
Sensors, Vol 21, Iss 9, p 3299 (2021)
Accurate load forecasting in buildings plays an important role for grid operators, demand response aggregators, building energy managers, owners, customers, etc. Probabilistic load forecasting (PLF) becomes essential to understand and manage the buil
Externí odkaz:
https://doaj.org/article/8fecb46f57854a6486a7af948db34373
Autor:
Paul Scharnhorst, Baptiste Schubnel, Carlos Fernández Bandera, Jaume Salom, Paolo Taddeo, Max Boegli, Tomasz Gorecki, Yves Stauffer, Antonis Peppas, Chrysa Politi
Publikováno v:
Applied Sciences, Vol 11, Iss 8, p 3518 (2021)
We introduce the Python-based open-source library Energym, a building model library to test and benchmark building controllers. The incorporated building models are presented with a brief explanation of their function, location and technical equipmen
Externí odkaz:
https://doaj.org/article/de59a13a317d409c8efd89184ab8dc89
Autor:
Gabriela Bastos Porsani, Kattalin Del Valle de Lersundi, Ana Sánchez-Ostiz Gutiérrez, Carlos Fernández Bandera
Publikováno v:
Applied Sciences, Vol 11, Iss 5, p 2167 (2021)
Building information modelling (BIM) is the first step towards the implementation of the industrial revolution 4.0, in which virtual reality and digital twins are key elements. At present, buildings are responsible for 40% of the energy consumption i
Externí odkaz:
https://doaj.org/article/7e2d9861b62d469bb0cca2186ce26407
Publikováno v:
Energies, Vol 14, Iss 4, p 1187 (2021)
The need to reduce energy consumption in buildings is an urgent task. Increasing the use of calibrated building energy models (BEM) could accelerate this need. The calibration process of these models is a highly under-determined problem that normally
Externí odkaz:
https://doaj.org/article/08c0fdba06954be89356a97ae3c8990e
Publikováno v:
Building Simulation. 15:1883-1898
Nowadays, building energy models (BEMs) are widely used, particularly in the assessment of energy consumption in buildings to address the potential savings that can be generated. The realisation of a dynamic energy model based on high-fidelity physic
Publikováno v:
Sensors, Vol 20, Iss 22, p 6525 (2020)
In the current energy context of intelligent buildings and smart grids, the use of load forecasting to predict future building energy performance is becoming increasingly relevant. The prediction accuracy is directly influenced by input uncertainties
Externí odkaz:
https://doaj.org/article/91dad0e7a54542c58d55a92cad84586f
Autor:
Gabriela Bastos Porsani, Núria Casquero-Modrego, Juan Bautista Echeverria Trueba, Carlos Fernández Bandera
Publikováno v:
SSRN Electronic Journal.