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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Format: | Electronic Book Chapter |
Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2020
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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024 | 7 | |a 10.3390/books978-3-03928-179-4 |c doi | |
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042 | |a dc | ||
100 | 1 | |a Ferrantelli, Andrea |4 auth | |
700 | 1 | |a Kurnitski, Jarek |4 auth | |
245 | 1 | 0 | |a Energy and Technical Building Systems - Scientific and Technological Advances |
260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
300 | |a 1 electronic resource (220 p.) | ||
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506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
546 | |a English | ||
653 | |a air handling unit configuration | ||
653 | |a n/a | ||
653 | |a predictive rule-based control | ||
653 | |a indoor air quality | ||
653 | |a end-use energy consumption | ||
653 | |a occupancy | ||
653 | |a simulation | ||
653 | |a Random Tree (RT) | ||
653 | |a multi-households | ||
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 | ||
653 | |a Neural Network (NN) | ||
653 | |a greenhouse gas emissions | ||
653 | |a IBM SPSS | ||
653 | |a building energy efficiency | ||
653 | |a monitoring | ||
653 | |a energy retrofit | ||
653 | |a personalized ventilation | ||
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 | ||
653 | |a Intelligent Buildings (IB) | ||
653 | |a solid oxide fuel cell cogeneration system | ||
653 | |a energy piles | ||
653 | |a environmental impact | ||
653 | |a energy savings | ||
653 | |a indoor environment quality | ||
653 | |a Simulink® | ||
653 | |a moisture conditions | ||
653 | |a deep renovation | ||
653 | |a heat pump | ||
653 | |a KNX | ||
653 | |a energy use | ||
653 | |a device efficiency | ||
653 | |a hourly CO2eq. intensity | ||
653 | |a ventilation and air conditioning (HVAC) | ||
653 | |a office building | ||
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 | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/1998 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/46370 |7 0 |z DOAB: description of the publication |