Energy and Technical Building Systems - Scientific and Technological Advances

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...

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Bibliographic Details
Main Author: Ferrantelli, Andrea
Other Authors: Kurnitski, Jarek
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
N/a
Knx
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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245 0 0 |a Energy and Technical Building Systems - Scientific and Technological Advances  |h Elektronische Ressource 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2020 
300 |a 1 electronic resource (220 p.) 
653 |a lighting electrical energy 
653 |a Intelligent Buildings (IB) 
653 |a energy flexibility 
653 |a building energy efficiency 
653 |a air handling unit configuration 
653 |a office building 
653 |a genetic algorithm 
653 |a n/a 
653 |a energy piles 
653 |a hourly CO2eq. intensity 
653 |a ventilation rate 
653 |a heat pump 
653 |a Simulink® 
653 |a monitoring 
653 |a Cloud Computing (CC) 
653 |a detached house 
653 |a LMS (Least Mean Squares) Adaptive filter (AF) 
653 |a greenhouse gas emissions 
653 |a simulation 
653 |a personalized ventilation 
653 |a deep renovation 
653 |a air pollutant 
653 |a thermal comfort 
653 |a multi-objective optimization 
653 |a computer simulations 
653 |a gateway 
653 |a intelligent system management 
653 |a floor slab heat loss 
653 |a predictive rule-based control 
653 |a solid oxide fuel cell cogeneration system 
653 |a heating 
653 |a multi-households 
653 |a demand response 
653 |a occupancy density 
653 |a indoor air temperature gradient 
653 |a Random Tree (RT) 
653 |a prediction 
653 |a end-use energy consumption 
653 |a energy 
653 |a Multilayer Perceptron (MLP) 
653 |a national electricity grid 
653 |a fuzzy logic 
653 |a energy retrofit 
653 |a indoor environment quality 
653 |a KNX 
653 |a occupancy 
653 |a Neural Network (NN) 
653 |a indoor air quality 
653 |a IBM SPSS 
653 |a Linear Regression (LR) 
653 |a moisture conditions 
653 |a building performance simulation 
653 |a Internet of Things (IoT) 
653 |a air distribution solutions 
653 |a validation 
653 |a device efficiency 
653 |a environmental impact 
653 |a Photovoltaic system 
653 |a ice rinks 
653 |a ventilation and air conditioning (HVAC) 
653 |a energy and HVAC-systems in buildings 
653 |a energy use 
653 |a energy savings 
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520 |a 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 monitoring. Another area to be tackled is energy flexibility, which is needed to make buildings responsive to the price signals of electricity grids with increasing amounts of fluctuating renewable energy generation installed both in central grids and at building sites. This Special Issue is dedicated to HVAC systems, load shifting, indoor climate, and energy and ventilation performance analyses in buildings. All these topics are important for improving the energy performance of new and renovated buildings within the roadmap of low energy and nearly zero energy buildings. To improve energy performance and, at the same time, occupant comfort and wellbeing, new technical solutions are required. Occupancy patterns and recognition, intelligent building management, demand response and performance of heating, cooling and ventilation systems are some common keywords in the articles of this Special Issue contributing to future highly performing buildings with reliable operation.