Energy Performance and Indoor Climate Analysis in Buildings

Edited by
November 2019
374 pages
  • ISBN978-3-03921-379-5 (Paperback)
  • ISBN978-3-03921-380-1 (PDF)

This book is a reprint of the Special Issue Energy Performance and Indoor Climate Analysis in Buildings that was published in

Chemistry & Materials Science
Environmental & Earth Sciences
Physical Sciences

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.

  • Paperback
© 2020 by the authors; CC BY license
Jaya algorithm; smart grid; optimal energy management; demand response; demand side management; indoor temperature after renovation; electricity use; DHW energy use; user behavior; standard use; energy performance modeling; gray box; satellite-based solar radiation data; meteorological reanalysis data; ISO 52016-1; energy efficiency; HVAC systems; chiller plants; chiller performance; COP; data-driven analysis; energy; building; ventilation; cooling; outdoor air; air jet; personalized ventilation; skin temperature; CFD; thermal analysis; corner impinging jet; mixing ventilation; displacement ventilation; tracer gas; air exchange effectiveness; local air change effectiveness; draught rate; Monte Carlo method; ISO 7730; TRNSYS; greenhouse; indoor temperature uniformity; multiple sensor nodes; qualitative control; corner impinging jet; corner mixing ventilation; hybrid displacement device; heating mode; thermal comfort; air exchange effectiveness; local air change effectiveness; draught rate,; downdraught; smart buildings; smart readiness indicator; energy efficiency; energy performance of buildings directive; energy flexibility; load shifting; demand response; building energy simulation; occupant behavior; energy performance; indoor climate; retirement home; user input data; condenser evaporative precooling; rooftop air conditioners; building energy modelling; control strategy; ground source heat pump; heating power; sizing; DHW heating; space heating; alternate operation; daylight; existing buildings; daylight factor; daylight simulations; daylight survey; energy efficiency; student dormitories; Indoor Environmental Quality (IEQ), Pro-GET-onE H2020; in situ measurements; monitoring measurements; energy signature; indoor air quality; stratification; basketball hall; CFD; field measurement; single room ventilation unit; building pressure condition; stack effect; wind pressure; ventilation renovation; decentralized ventilation unit