eprintid: 10188109
rev_number: 6
eprint_status: archive
userid: 699
dir: disk0/10/18/81/09
datestamp: 2024-02-29 12:23:13
lastmod: 2024-02-29 12:23:13
status_changed: 2024-02-29 12:23:13
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: de Andrade Pereira, Flavia
creators_name: Paul, Lazlo
creators_name: Pritoni, Marco
creators_name: Casillas, Armando
creators_name: Prakash, Anand
creators_name: Huang, Weiping
creators_name: Shaw, Conor
creators_name: Martin-Toral, Susana
creators_name: Finn, Donal
creators_name: Donnell, James O’
title: Enabling portable demand flexibility control applications in virtual and real buildings
ispublished: pub
divisions: UCL
divisions: B04
divisions: C04
divisions: F34
keywords: Demand flexibility, Generalizable control, Semantic model, Portability, Simulation and field testing
note: © 2024 The Author(s). Published by Elsevier Ltd. under a Creative Commons license (http://creativecommons.org/licenses/by/4.0/).
abstract: Control applications that facilitate Demand Flexibility (DF) are difficult to deploy at scale in existing buildings. The heterogeneity of systems and non-standard naming conventions for metadata describing data points in building automation systems often lead to ad-hoc and building-specific applications. In recent years, several researchers investigated semantic models to describe the meaning of building data. They suggest that these models can enhance the deployment of building applications, enabling data exchanges among heterogeneous sources and their portability across different buildings. However, the studies in question fail to explore these capabilities in the context of controls. This paper proposes a novel semantics-driven framework for developing and deploying portable DF control applications. The design of the framework leverages an iterative design science research methodology, evolving from evidence gathered through simulation and field demonstrations. The framework aims to decouple control applications from specific buildings and control platforms, enabling these control applications to be configured semi-automatically. This allows application developers and researchers to streamline the onboarding of new applications that could otherwise be time-consuming and resource-intensive. The framework has been validated for its capability to facilitate the deployment of control applications sharing the same codebase across diverse virtual and real buildings. The demonstration successfully tested two controls for load shifting and shedding in four virtual buildings using the Building Optimization Testing Framework (BOPTEST) and in one real building using the control platform VOLTTRON. Insights into the current limitations, benefits, and challenges of generalizable controls and semantic models are derived from the deployment efforts and outcomes to guide future research in this field.
date: 2024-06
date_type: published
publisher: Elsevier BV
official_url: http://dx.doi.org/10.1016/j.jobe.2024.108645
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2252816
doi: 10.1016/j.jobe.2024.108645
lyricists_name: De Andrade Pereira, Flavia
lyricists_id: FDEAN77
actors_name: De Andrade Pereira, Flavia
actors_id: FDEAN77
actors_role: owner
full_text_status: public
publication: Journal of Building Engineering
volume: 86
article_number: 108645
citation:        de Andrade Pereira, Flavia;    Paul, Lazlo;    Pritoni, Marco;    Casillas, Armando;    Prakash, Anand;    Huang, Weiping;    Shaw, Conor;             ... Donnell, James O’; + view all <#>        de Andrade Pereira, Flavia;  Paul, Lazlo;  Pritoni, Marco;  Casillas, Armando;  Prakash, Anand;  Huang, Weiping;  Shaw, Conor;  Martin-Toral, Susana;  Finn, Donal;  Donnell, James O’;   - view fewer <#>    (2024)    Enabling portable demand flexibility control applications in virtual and real buildings.                   Journal of Building Engineering , 86     , Article 108645.  10.1016/j.jobe.2024.108645 <https://doi.org/10.1016/j.jobe.2024.108645>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10188109/1/1-s2.0-S2352710224002134-main.pdf