CLIMA 2013 - Jun, 2013


Title of the Conference/Workshop: 11th REHVA World Congress & 8th International Conference on IAQVEC

Location: Prague, Czech Republic

Dates: 16th-19th June, 2013

url: http://www.rehva.eu/news/news-single/?tx_ttnews%5Btt_news%5D=154&cHash=caf8ab6c5a8bfba4d3f35b1e63118b89

 

Brief description of the conference:

The REHVA Congress CLIMA 2013 was the 11th International Congress which was held in Prague during 16th - 19th of June 2013. As well, it was organized jointly the 8th Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings. The conference contribution was wide, receiving attendees from Europe, Japan and USA and consisting in more than 100 leading experts.

 

Campus21 publications


Toward improving energy efficiency of existing buildings via monitoring-supported predictive systems control

 

Abstract

Improving energy efficiency is arguably the central component of any promising energy policy. Specifically, given the current state of technology, renewable energy resources could not be effectively deployed without concomitant energy efficiency measures. In the building sector, existing buildings are the natural target of energy efficiency efforts: In most European countries, existing buildings represent, in terms of volume and energy use, the dominant part of the overall building sector. Energy efficiency measures in the domain of existing buildings may be broadly classified as either hardware-centric or software-centric. While the former measures target building hardware, the latter focus on building operation processes. In this contribution, we focus on the latter class of energy efficiency improvement measures. The motivation behind this approach can be expressed in terms of the following postulate: Utilization of existing buildings' historic and run-time monitoring data (energy use, indoor environment) and the integrated analysis of this data can help to improve energy efficiency through the optimization of buildings' operational regime. To examine the validity of this postulate, we shall report on the progress of an EU-supported research project. The project involved the selection of three different building complexes in three different locations. These buildings were studied in view of existing and necessary monitoring infrastructures, which could yield necessary data for the conception of improvements to operational processes (particularly building systems control) toward improved energy efficiency.


 


Toward improving energy efficiency of existing buildings via monitoring-supported predictive systems control

 

Abstract
Energy efficiency measures in the domain of existing buildings may be broadly classified as either hardware-centric or software-centric. In this contribution, we focus on the latter class of energy efficiency measures. The motivation behind this approach can be expressed in terms of the following postulate: Utilization of existing buildings' monitoring data and the integrated analysis of this data can help to improve energy efficiency through the optimization of buildings' operational regime. To examine the validity of this postulate, we shall report on the progress of an EU-supported research project. The project involved the selection of three building complexes. These buildings were studied in view of existing and necessary monitoring infrastructures, which could yield necessary data for the conception of improvements to operational processes toward improved energy efficiency.