Energy and Technical Building Systems - Scientific and Technological Advances

Edited by
January 2020
220 pages
  • ISBN978-3-03928-178-7 (Paperback)
  • ISBN978-3-03928-179-4 (PDF)

This book is a reprint of the Special Issue Energy and Technical Building Systems - Scientific and Technological Advances that was published in

Chemistry & Materials Science
Environmental & Earth Sciences
Physical Sciences

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.

  • Paperback
License and Copyright
© 2020 by the authors; CC BY-NC-ND license
ice rinks; air distribution solutions; indoor air temperature gradient; air handling unit configuration; building energy efficiency; building performance simulation; energy and HVAC-systems in buildings; energy piles; validation; floor slab heat loss; energy; computer simulations; predictive rule-based control; hourly CO2eq. intensity; demand response; energy flexibility; n/a; indoor environment quality; thermal comfort; personalized ventilation; fuzzy logic; environmental impact; device efficiency; air pollutant; multi-households; solid oxide fuel cell cogeneration system; end-use energy consumption; heating; ventilation and air conditioning (HVAC); intelligent system management; lighting electrical energy; national electricity grid; office building; Photovoltaic system; simulation; Simulink®; deep renovation; energy retrofit; detached house; multi-objective optimization; greenhouse gas emissions; heat pump; genetic algorithm; occupancy density; moisture conditions; energy use; indoor air quality; ventilation rate; KNX; Neural Network (NN); Multilayer Perceptron (MLP); Random Tree (RT); Linear Regression (LR); Cloud Computing (CC); Internet of Things (IoT); LMS (Least Mean Squares) Adaptive filter (AF); gateway; monitoring; occupancy; prediction; IBM SPSS; Intelligent Buildings (IB); energy savings