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 (auth)
Other Authors: Kurnitski, Jarek (auth)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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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. 
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653 |a detached house 
653 |a genetic algorithm 
653 |a Cloud Computing (CC) 
653 |a building performance simulation 
653 |a energy and HVAC-systems in buildings 
653 |a Linear Regression (LR) 
653 |a heating 
653 |a air pollutant 
653 |a validation 
653 |a energy 
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653 |a greenhouse gas emissions 
653 |a IBM SPSS 
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653 |a occupancy density 
653 |a air distribution solutions 
653 |a prediction 
653 |a indoor air temperature gradient 
653 |a lighting electrical energy 
653 |a ventilation rate 
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653 |a energy piles 
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653 |a deep renovation 
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653 |a device efficiency 
653 |a hourly CO2eq. intensity 
653 |a ventilation and air conditioning (HVAC) 
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653 |a floor slab heat loss 
653 |a Internet of Things (IoT) 
653 |a ice rinks 
653 |a fuzzy logic 
653 |a Photovoltaic system 
653 |a intelligent system management 
653 |a computer simulations 
653 |a thermal comfort 
653 |a LMS (Least Mean Squares) Adaptive filter (AF) 
653 |a national electricity grid 
653 |a energy flexibility 
653 |a multi-objective optimization 
653 |a Multilayer Perceptron (MLP) 
653 |a gateway 
653 |a demand response 
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