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210512 ||| eng |
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|a books978-3-03921-380-1
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|a 9783039213795
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|a 9783039213801
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|a Thalfeldt, Martin
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|a Energy Performance and Indoor Climate Analysis in Buildings
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2019
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| 300 |
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|a 1 electronic resource (374 p.)
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| 653 |
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|a energy performance modeling
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| 653 |
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|a basketball hall
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|a satellite-based solar radiation data
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|a wind pressure
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|a outdoor air
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| 653 |
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|a chiller performance
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| 653 |
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|a building energy simulation
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| 653 |
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|a cooling
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| 653 |
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|a ISO 7730
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| 653 |
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|a daylight simulations
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| 653 |
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|a air exchange effectiveness
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| 653 |
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|a standard use
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| 653 |
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|a ventilation renovation
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| 653 |
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|a chiller plants
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| 653 |
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|a load shifting
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| 653 |
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|a personalized ventilation
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| 653 |
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|a meteorological reanalysis data
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| 653 |
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|a optimal energy management
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| 653 |
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|a Monte Carlo method
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| 653 |
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|a single room ventilation unit
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| 653 |
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|a downdraught
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| 653 |
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|a smart buildings
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| 653 |
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|a displacement ventilation
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| 653 |
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|a local air change effectiveness
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| 653 |
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|a building pressure condition
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| 653 |
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|a rooftop air conditioners
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| 653 |
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|a qualitative control
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| 653 |
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|a daylight
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| 653 |
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|a energy
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| 653 |
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|a stratification
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| 653 |
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|a stack effect
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| 653 |
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|a air jet
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| 653 |
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|a ISO 52016-1
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| 653 |
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|a indoor air quality
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| 653 |
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|a user behavior
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| 653 |
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|a Pro-GET-onE H2020
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| 653 |
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|a Indoor Environmental Quality (IEQ)
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| 653 |
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|a daylight factor
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| 653 |
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|a condenser evaporative precooling
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| 653 |
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|a DHW heating
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| 653 |
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|a CFD
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| 653 |
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|a energy performance
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| 653 |
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|a user input data
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| 653 |
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|a draught rate
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| 653 |
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|a gray box
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| 653 |
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|a energy flexibility
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| 653 |
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|a skin temperature
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| 653 |
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|a DHW energy use
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| 653 |
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|a corner mixing ventilation
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| 653 |
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|a heating power
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| 653 |
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|a electricity use
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| 653 |
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|a field measurement
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| 653 |
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|a energy efficiency
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| 653 |
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|a monitoring measurements
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| 653 |
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|a History of engineering and technology / bicssc
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|a daylight survey
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|a retirement home
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| 653 |
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|a mixing ventilation
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| 653 |
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|a sizing
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| 653 |
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|a student dormitories
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| 653 |
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|a Jaya algorithm
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| 653 |
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|a TRNSYS
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|a heating mode
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| 653 |
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|a indoor temperature after renovation
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| 653 |
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|a COP
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| 653 |
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|a existing buildings
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| 653 |
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|a thermal comfort
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| 653 |
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|a hybrid displacement device
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| 653 |
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|a alternate operation
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| 653 |
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|a tracer gas
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| 653 |
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|a space heating
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| 653 |
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|a data-driven analysis
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| 653 |
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|a in situ measurements
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| 653 |
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|a demand response
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| 653 |
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|a demand side management
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| 653 |
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|a smart grid
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| 653 |
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|a corner impinging jet
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| 653 |
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|a building energy modelling
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| 653 |
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|a building
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| 653 |
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|a multiple sensor nodes
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| 653 |
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|a indoor climate
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| 653 |
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|a energy signature
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| 653 |
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|a control strategy
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| 653 |
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|a decentralized ventilation unit
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| 653 |
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|a HVAC systems
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| 653 |
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|a energy performance of buildings directive
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| 653 |
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|a smart readiness indicator
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| 653 |
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|a ventilation
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| 653 |
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|a thermal analysis
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| 653 |
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|a occupant behavior
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| 653 |
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|a ground source heat pump
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| 653 |
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|a indoor temperature uniformity
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| 653 |
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|a greenhouse
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| 700 |
1 |
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|a Ferrantelli, Andrea
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| 700 |
1 |
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|a Kurnitski, Jarek
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 028 |
5 |
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|a 10.3390/books978-3-03921-380-1
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/46384
|z DOAB: description of the publication
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| 856 |
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|u https://www.mdpi.com/books/pdfview/book/1828
|7 0
|x Verlag
|3 Volltext
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|a 363
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|a 900
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|a HVAC systems, load shifting, indoor climate, and energy and ventilation performance analyses are the key topics when improving energy performance in new and renovated buildings. This development has been boosted by the recently established nearly zero energy building requirements that will soon be in use in all EU Member States, as well as similar long-term zero energy building targets in Japan, the US, and other countries. The research covered in this Special Issue provides evidence of how new technical solutions have worked, in practice, in new or renovated buildings, and also discusses problems and how solutions should be further developed. Another focus is on the more detailed calculation methods needed for the correct design and sizing of dedicated systems, and for accurate quantification of energy savings. Occupant behavior and building operation is also examined, in order to avoid common performance gaps between calculated and measured performance. These topics demonstrate the challenge of high performance buildings as, in the end, comfortable buildings with good indoor climate which are easy and cheap to operate and maintain are expected by end customers. Ventilation performance, heating and cooling, sizing, energy predictions and optimization, load shifting, and field studies are some of the key topics in this Special Issue, contributing to the future of high performance buildings with reliable operation.
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