ModSCO. Online Reduced Order Models (ROM) to Address the Performance Gap†
by
Alessandro Piccinini 1,2,*
, Luis M. Blanes 1,2, Federico Seri 1,2, Letizia D’Angelo 1,2 and Marcus M. Keane 1,2
, Luis M. Blanes 1,2, Federico Seri 1,2, Letizia D’Angelo 1,2 and Marcus M. Keane 1,2
1
Informatics Research Unit for Sustainable Engineering (IRUSE), NUI Galway, Galway, H91 TK33, Ireland
2
Department of Civil Engineering, NUI Galway, Galway H91 TK33, Ireland
*
Author to whom correspondence should be addressed.
†
Presented at the Sustainable Places 2019 (SP 2019), Sardinia, Italy, 5–7 June 2019.
Proceedings 2019, 20(1), 18; https://doi.org/10.3390/proceedings2019020018
Published: 25 July 2019
(This article belongs to the Proceedings of Sustainable Places Conference)
This communication presents ModSCO, a web application that supports systematic energy performance evaluation using Reduced Order Models (ROM). These models are particularly useful in scenario with missing, incomplete or uncertain building information. The paper describes the theory behind ROM grey-box modelling and presents case studies that support the smart operation of energy systems by generating Energy Conservation Opportunities (ESCOs) for instance, to help ISO 50001 implementation. The ROM demonstrated to provide accurate results with a reduced effort. The acceptable calibration tolerance provided by the ASHRAE Guideline 14 is been used to demonstrate the ROM’s accuracy. Additionally, the ModSCO architecture and user interface is also described.
Keywords:
Reduced Order Modelling; Dynamic Energy Simulation; Building Energy Performance; Energy savings; HIT2GAP Project; ModSCO; BEMServer
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Piccinini, A.; Blanes, L.M.; Seri, F.; D’Angelo, L.; Keane, M.M. ModSCO. Online Reduced Order Models (ROM) to Address the Performance Gap. Proceedings 2019, 20, 18.
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