WS-13: TRIBUTE

TRIBUTE workshop:

“Improvement of the predictive capability of a state-of-the-art commercial BEPS”

Context

TRIBUTE project is aimed at minimising the gap between computed and measured energy performances through the improvement of the predictive capability of a state-of-the-art com-mercial BEPS.

This is the interactive webpage for the SP2016 workshop hosted by TRIBUTE entitled:

 “Improvement of the predictive capability of a state-of-the-art commercial BEPS”

 
“Improvement of the predictive capability of a state-of-the-art commercial BEPS” Agenda

Objective of the workshop – goals of TRIBUTE(E. Onillon, CSEM)

Energy stakeholders context –(O. Cottet, Schneider Electric)

Standards and IPMVP for TRIBUTE –(H. Obara, Schneider Electric)

Advanced analytics to reduce the energy performance gap –(C. Jimenez, TBC; P. Beguery, Schneider Electric; E. Onillon, CSEM)

Closure (V. Smítka, Amires)

Problem

Today, Building Energy Performance Simulation (BEPS) analysis tends to show a large discrepancy with real energy performance. Most cases are due to gross mistakes rather than fundamental inadequacy of available technology and methods. The reasons are manifold. Highly simplified calculation methods are used far beyond their domain of validity.


Solution

For existing buildings, measurement and verification techniques will be developed and deployed to connect the BEPS model in real time to the pivotal wireless sensing and con-trol systems of a monitored building. This involves modelling building systems to a higher fidelity than done today, developing technology for on-line identification of building key parameters, and automatically adapting the on-line, real time BEPS to the actual building’s state.

TRIBUTE objectives

Healthcare buildings and districts are among the top EU priorities for Energy-efficient Buildings (EeB) since they play a key factor for a sustainable community, but their en-ergy use and carbon emission are among the highest of all building types. A hospital –which is a part of a healthcare district– uses 2.5 times more energy than an office in average. There are some 15,000 hospitals in the EU responsible for at least 5% of the annual EU’s carbon emission (~ 250 million tonnes). Healthcare accounts for nearly 10% of EU’s GDP, and hospitals can take up to 60% of a country’s health expenditure (source: WHO and European Hospital and Healthcare Federation, 2012 statistics). In order to cope with the energy, financial, political, societal and environmental crises, all healthcare districts in Europe are urgently seeking to substantially reduce their energy consumption and carbon emission by 30–50%. Therefore, they are planning new ener-gy-efficient building projects as well as energy-efficiency retrofitting of the existing buildings. 



At present and in the near future, clients, architects, technical designers, contractors, and end-users really need a breakthrough in designing energy-efficiency buildings integrated in the healthcare districts. Assumed boundary conditions such as occupant behaviour are not in accordance with actual usage; gross malfunctions in control and HVAC systems are left undetected in the commissioning process, while thermal bridges and distribution system losses are left without attention. Moreover, metered and sub-metered data are not used efficiently in cal-culation tools and engineering based simulation models during the Measurement and Verification (M&V) phase.




In addition, BHM and EFM application will compare measured data to the then improved predicted metrics and will enable detecting building deviations. Advanced data mining methods will help evaluate these deviations. Subsequent Energy Efficiency Diagnostic Rules and optimization methods will provide cost effective and corrective retrofit actions accordingly. The methodology and tools will be evaluated in the context of three different building types and locations.

TRIBUTE consortium

SCHNEIDER ELECTRIC INDUSTRIES SAS, France

CORK INSTITUTE OF TECHNOLOGY, Ireland

IBM IRELAND LIMITED, Ireland

TECHNISCHE UNIVERSITAET DRESDEN, Germany

TBC INNOVATIONS, France

EQUA SIMULATION AB, Sweden

COMMUNAUTE D’AGGLOMERATION DE LA ROCHELLE, France8.

CITTA DI TORINO, Italy

POLITECNICO DI TORINO, Italy

ZEDFACTORY EU-ROPE LIMITED, UK

FUNDACIO INSTI-TUT DE RECERCA DE L’ENERGIA DE CATALUNYA, Spain

TEKEVER – TECNO-LOGIAS DE INFOR-MACAO, S.A., Portugal

NXP SEMICONDUC-TORS NETHER-LANDS BV, The Netherlands14. AMIRES SRO, Czech Republic

IBM IRELAND PROD-UCT DISTRIBUTION LIMITED , Ireland

TBC générateurs d’in-novation, France