|
|
|
|
| LEADER |
04637nma a2201045 u 4500 |
| 001 |
EB001977325 |
| 003 |
EBX01000000000000001140227 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
210512 ||| eng |
| 020 |
|
|
|a 9783039281787
|
| 020 |
|
|
|a 9783039281794
|
| 020 |
|
|
|a books978-3-03928-179-4
|
| 100 |
1 |
|
|a Ferrantelli, Andrea
|
| 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 building energy efficiency
|
| 653 |
|
|
|a energy flexibility
|
| 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 prediction
|
| 653 |
|
|
|a Random Tree (RT)
|
| 653 |
|
|
|a end-use energy consumption
|
| 653 |
|
|
|a energy
|
| 653 |
|
|
|a Multilayer Perceptron (MLP)
|
| 653 |
|
|
|a fuzzy logic
|
| 653 |
|
|
|a national electricity grid
|
| 653 |
|
|
|a energy retrofit
|
| 653 |
|
|
|a indoor environment quality
|
| 653 |
|
|
|a Neural Network (NN)
|
| 653 |
|
|
|a occupancy
|
| 653 |
|
|
|a KNX
|
| 653 |
|
|
|a IBM SPSS
|
| 653 |
|
|
|a indoor air quality
|
| 653 |
|
|
|a moisture conditions
|
| 653 |
|
|
|a Linear Regression (LR)
|
| 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 ventilation and air conditioning (HVAC)
|
| 653 |
|
|
|a ice rinks
|
| 653 |
|
|
|a Photovoltaic system
|
| 653 |
|
|
|a energy and HVAC-systems in buildings
|
| 653 |
|
|
|a energy savings
|
| 653 |
|
|
|a energy use
|
| 700 |
1 |
|
|a Kurnitski, Jarek
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
|
| 028 |
5 |
0 |
|a 10.3390/books978-3-03928-179-4
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/1998
|7 0
|x Verlag
|3 Volltext
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/46370
|z DOAB: description of the publication
|
| 082 |
0 |
|
|a 363
|
| 082 |
0 |
|
|a 333
|
| 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.
|