Energy and Technical Building Systems - Scientific and Technological Advances

• Autor principal: Ferrantelli, Andrea (auth)
• Otros Autores: Kurnitski, Jarek (auth)
• Formato: Electrónico Capítulo de libro
• Lenguaje: inglés
• Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Materias: air handling unit configuration; n/a; predictive rule-based control; indoor air quality; end-use energy consumption; occupancy; simulation; Random Tree (RT); multi-households; detached house; genetic algorithm; Cloud Computing (CC); building performance simulation; energy and HVAC-systems in buildings; Linear Regression (LR); heating; air pollutant; validation; energy; Neural Network (NN); greenhouse gas emissions; IBM SPSS; building energy efficiency; monitoring; energy retrofit; personalized ventilation; occupancy density; air distribution solutions; prediction; indoor air temperature gradient; lighting electrical energy; ventilation rate; Intelligent Buildings (IB); solid oxide fuel cell cogeneration system; energy piles; environmental impact; energy savings; indoor environment quality; Simulink®; moisture conditions; deep renovation; heat pump; KNX; energy use; device efficiency; hourly CO2eq. intensity; ventilation and air conditioning (HVAC); office building; floor slab heat loss; Internet of Things (IoT); ice rinks; fuzzy logic; Photovoltaic system; intelligent system management; computer simulations; thermal comfort; LMS (Least Mean Squares) Adaptive filter (AF); national electricity grid; energy flexibility; multi-objective optimization; Multilayer Perceptron (MLP); gateway; demand response
• Acceso en línea: DOAB: download the publication; DOAB: description of the publication

Future buildings require not only energy efficiency but also proper building automation and control system functionalities in order to respond to the needs of occupants and energy grids. These development paths require a focus on occupant needs such as good indoor climate, easy operability, and moni...