Reduced-order Models for Supporting Energy Audits of Buildings

Benedettelli, Mariangela; Carbonari, Alessandro; Naticchia, Berardo; Vaccarin, Massimo

doi:10.22260/isarc2016/0068

Cited by 7 publications

(4 citation statements)

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“…However, for simplifying the network, the entire building is sub-categorized as comprising of the building envelope (external walls and roofs) and the internal mass (floors, partitions, internal walls, furniture). This is followed by an aggregation of the parameters for the different components, particularly, external walls, roofs and internal mass [21]. Windows are represented as only resistors because the energy storing capacity is negligible for windows.…”

Section: Methodsmentioning

confidence: 99%

A generalization approach for reduced order modelling of commercial buildings

Shamsi

Ali

O’Donnell

2019

Journal of Building Performance Simulation

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Grey-box techniques can counter the computational inefficiency and resource-intensive nature of the conventional complex whitebox models. However, these approaches might tend to be too specific in their application and scalability is limited by network order. To overcome these challenges, this study proposes a generalized approach for selection of reduced-order RC network models for commercial buildings using the peak power consumption characterization. The devised methodology is used to design the RC networks of buildings connected to district heating network at University College Dublin. The close proximity between measured and simulated demand indicate the influence of power demand on RC network selection.

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Section: Methodsmentioning

confidence: 99%

A generalization approach for reduced order modelling of commercial buildings

Shamsi

Ali

O’Donnell

2019

Journal of Building Performance Simulation

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“…The curtain wall facing south is affected by intense overheating in the warm season, which was observed during an experimental campaign [44] performed for the thermal characterisation of the same office room used for the case study presented (Fig. 7-b).…”

Section: The Case Studymentioning

confidence: 96%

A cyber-physical system approach for building efficiency monitoring

Bonci

Carbonari

Cucchiarelli

et al. 2019

Automation in Construction

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“…In particular, previous research projects were carried out referring to RC-network reduced models to model the heat dynamics derived from the analogy with electric circuits (Benedettelli, Carbonari, Naticchia, & Vaccarini, 2016). According to this type of models, the thermal mass of the building is lumped to a discrete number of parameters in which the resistances and the electrical capacities represent the thermal resistances and capacities; the external temperatures are represented as voltage generators and thermal contribution like current generators.…”

Section: Energy Efficiency Bayesian Networkmentioning

confidence: 99%

A Decision Support System for Multi-Criteria Assessment of Large Building Stocks

Carbonari

Corneli

Giuda

et al. 2019

Journal of Civil Engineering and Management

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Both public administrations and private owners of large building stocks need to work out plans for the management of their property, while having to deal with yearly budget limitations. Particularly for the former, this is a rather critical challenge, since public administrations are given the responsibility of sticking to very strict budget distributions over the years. As a consequence, when planning the actions to be taken on their building stocks in order to comply with their current use and the legislation in-force, they need to classify refurbishment priorities. The aim of this paper is to develop a first tool based on Bayesian Networks that offers an effective decision support service for owners even in case some information is incomplete. This tool can be used to evaluate the compliance of existing buildings with the latest standards. The decision support platform proposed includes a multi-criteria evaluation approach combining several performance indicators, each of which related to a specific regulatory area. This tool can be applied to existing buildings, where the building with the lowest score shows the highest priority of intervention. Also, the platform performs an assessment of expected costs for required refurbishment or renovation actions.

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Reduced-order Models for Supporting Energy Audits of Buildings

Cited by 7 publications

References 0 publications

A generalization approach for reduced order modelling of commercial buildings

A generalization approach for reduced order modelling of commercial buildings

A cyber-physical system approach for building efficiency monitoring

A Decision Support System for Multi-Criteria Assessment of Large Building Stocks

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