Development of a reduced order model for standard-based measurement and verification to support ECM

Alessandro Piccinini; Letizia Dangelo; Federico Seri; Conor Deane; Raymond Sterling; Andrea Costa; Alberto Giretti; Marcus M. Keane

Development of a reduced order model for standard-based measurement and verification to support ECM

Alessandro Piccinini
, Letizia Dangelo
, Federico Seri
, Conor Deane
, Raymond Sterling
, Andrea Costa
, Alberto Giretti
, Marcus M. Keane

Civil Engineering

University of Galway
R2M Solution Srl
UNIVPM

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

2 Citations (Scopus)

Abstract

This paper describes a methodology which utilises a Reduced Order Model (ROM) in overcoming typical barriers related to the Energy Performance Contracting (EPC) such as lack of building information and uncertainty regarding post renovation. For this purpose, a ROM supported by a JModelica.org Python script (ROMFit) for the optimization and calibration process has been utilised in the Measurement and verification (M&V) process. The accuracy and benefits of this model are demonstrated by a comparison with an IES-VE Whole Building Energy Simulation Model. The results presented in this paper show that the ROM proves to be the most accurate model with regards to energy demand forecasting and furthermore, it is useful in estimating numerous energy savings of retrofitting scenarios.

Original language	English
Title of host publication	16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Editors	Vincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi
Publisher	International Building Performance Simulation Association
Pages	4180-4187
Number of pages	8
ISBN (Electronic)	9781713809418
Publication status	Published - 2019
Event	16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy Duration: 2 Sept 2019 → 4 Sept 2019

Publication series

Name	Building Simulation Conference Proceedings
Volume	6
ISSN (Print)	2522-2708

Conference

Conference	16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Country/Territory	Italy
City	Rome
Period	2/09/19 → 4/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 12 Responsible Consumption and Production

Cite this

Piccinini, A., Dangelo, L., Seri, F., Deane, C., Sterling, R., Costa, A., Giretti, A., & Keane, M. M. (2019). Development of a reduced order model for standard-based measurement and verification to support ECM. In V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (Eds.), 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 (pp. 4180-4187). (Building Simulation Conference Proceedings; Vol. 6). International Building Performance Simulation Association.

Piccinini, Alessandro ; Dangelo, Letizia ; Seri, Federico et al. / Development of a reduced order model for standard-based measurement and verification to support ECM. 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019. editor / Vincenzo Corrado ; Enrico Fabrizio ; Andrea Gasparella ; Francesco Patuzzi. International Building Performance Simulation Association, 2019. pp. 4180-4187 (Building Simulation Conference Proceedings).

@inproceedings{082f4dc5d50d4dde9bd01cb8a156ce7a,

title = "Development of a reduced order model for standard-based measurement and verification to support ECM",

abstract = "This paper describes a methodology which utilises a Reduced Order Model (ROM) in overcoming typical barriers related to the Energy Performance Contracting (EPC) such as lack of building information and uncertainty regarding post renovation. For this purpose, a ROM supported by a JModelica.org Python script (ROMFit) for the optimization and calibration process has been utilised in the Measurement and verification (M\&V) process. The accuracy and benefits of this model are demonstrated by a comparison with an IES-VE Whole Building Energy Simulation Model. The results presented in this paper show that the ROM proves to be the most accurate model with regards to energy demand forecasting and furthermore, it is useful in estimating numerous energy savings of retrofitting scenarios.",

author = "Alessandro Piccinini and Letizia Dangelo and Federico Seri and Conor Deane and Raymond Sterling and Andrea Costa and Alberto Giretti and Keane, \{Marcus M.\}",

note = "Publisher Copyright: {\textcopyright} (2019) by International Building Performance Simulation Association (IBPSA) All rights reserved.; 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 ; Conference date: 02-09-2019 Through 04-09-2019",

year = "2019",

language = "English",

series = "Building Simulation Conference Proceedings",

publisher = "International Building Performance Simulation Association",

pages = "4180--4187",

editor = "Vincenzo Corrado and Enrico Fabrizio and Andrea Gasparella and Francesco Patuzzi",

booktitle = "16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019",

}

Piccinini, A, Dangelo, L, Seri, F, Deane, C, Sterling, R, Costa, A, Giretti, A & Keane, MM 2019, Development of a reduced order model for standard-based measurement and verification to support ECM. in V Corrado, E Fabrizio, A Gasparella & F Patuzzi (eds), 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019. Building Simulation Conference Proceedings, vol. 6, International Building Performance Simulation Association, pp. 4180-4187, 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019, Rome, Italy, 2/09/19.

Development of a reduced order model for standard-based measurement and verification to support ECM. / Piccinini, Alessandro; Dangelo, Letizia; Seri, Federico et al.
16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019. ed. / Vincenzo Corrado; Enrico Fabrizio; Andrea Gasparella; Francesco Patuzzi. International Building Performance Simulation Association, 2019. p. 4180-4187 (Building Simulation Conference Proceedings; Vol. 6).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Development of a reduced order model for standard-based measurement and verification to support ECM

AU - Piccinini, Alessandro

AU - Dangelo, Letizia

AU - Seri, Federico

AU - Deane, Conor

AU - Sterling, Raymond

AU - Costa, Andrea

AU - Giretti, Alberto

AU - Keane, Marcus M.

PY - 2019

Y1 - 2019

N2 - This paper describes a methodology which utilises a Reduced Order Model (ROM) in overcoming typical barriers related to the Energy Performance Contracting (EPC) such as lack of building information and uncertainty regarding post renovation. For this purpose, a ROM supported by a JModelica.org Python script (ROMFit) for the optimization and calibration process has been utilised in the Measurement and verification (M&V) process. The accuracy and benefits of this model are demonstrated by a comparison with an IES-VE Whole Building Energy Simulation Model. The results presented in this paper show that the ROM proves to be the most accurate model with regards to energy demand forecasting and furthermore, it is useful in estimating numerous energy savings of retrofitting scenarios.

AB - This paper describes a methodology which utilises a Reduced Order Model (ROM) in overcoming typical barriers related to the Energy Performance Contracting (EPC) such as lack of building information and uncertainty regarding post renovation. For this purpose, a ROM supported by a JModelica.org Python script (ROMFit) for the optimization and calibration process has been utilised in the Measurement and verification (M&V) process. The accuracy and benefits of this model are demonstrated by a comparison with an IES-VE Whole Building Energy Simulation Model. The results presented in this paper show that the ROM proves to be the most accurate model with regards to energy demand forecasting and furthermore, it is useful in estimating numerous energy savings of retrofitting scenarios.

UR - https://www.scopus.com/pages/publications/85107393345

M3 - Conference Publication

AN - SCOPUS:85107393345

T3 - Building Simulation Conference Proceedings

SP - 4180

EP - 4187

BT - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019

A2 - Corrado, Vincenzo

A2 - Fabrizio, Enrico

A2 - Gasparella, Andrea

A2 - Patuzzi, Francesco

PB - International Building Performance Simulation Association

T2 - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019

Y2 - 2 September 2019 through 4 September 2019

ER -

Piccinini A, Dangelo L, Seri F, Deane C, Sterling R, Costa A et al. Development of a reduced order model for standard-based measurement and verification to support ECM. In Corrado V, Fabrizio E, Gasparella A, Patuzzi F, editors, 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019. International Building Performance Simulation Association. 2019. p. 4180-4187. (Building Simulation Conference Proceedings).

Development of a reduced order model for standard-based measurement and verification to support ECM

Abstract

Publication series

Conference

UN SDGs

Other files and links

Fingerprint

Cite this