Climate models for the assessment of office buildings energy performance

Gugliermetti, Franco; Passerini, G.; Bisegna, Fabio

doi:10.1016/s0360-1323(03)00138-0

Cited by 32 publications

(17 citation statements)

References 16 publications

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“…Based on the extensive literature review, it was found that several previous studies analyzed the difference between the estimated energy performance in the design phase (i.e., asset rating) and the actual energy performance in the operation and maintenance phase (i.e., operational rating) [19][20][21][22][23][24][25][26][27][28][29]. Majcen et al [19] brought up a problem of asset rating in Netherlands.…”

Section: Research Background and Objectivementioning

confidence: 99%

An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches

et al. 2015

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Section: Research Background and Objectivementioning

confidence: 99%

An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches

et al. 2015

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“…The multiple linear regression model was selected and developed for predicting energy consumption. This model has been extensively used in energy modelling projects [9,[19][20][21][22][23][24][25]. Compared with nonlinear models, linear regression models are easier and more practical for solving the different problems [21].…”

Section: Modelsmentioning

confidence: 99%

“…Comparing different studies showed that environmental parameters were the main factors in most studies for estimating energy usage in buildings. Temperature, humidity and lux level were the main environmental parameters which can directly affect energy consumption in buildings [6,9].…”

Section: Introductionmentioning

confidence: 99%

Predicting Energy Usage Using Historical Data and Linear Models

Safa

Allen²,

Safa

2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Abstract:This paper presents a method to predict energy usage, based on weather conditions and occupancy, using a multiple linear regression model (MLR) in research office buildings. In this study, linear regression models of four research office sites in different regions of New Zealand were selected to show the capability of simple models to reduce margins of error in energy auditing projects. The final linear regression models developed were based on monthly outside temperatures and numbers of full time employees (FTEs). Comparing actual and predicted energy usage showed that the models can predict energy usage within acceptable errors. The results also showed that each building should be investigated as an individual unit.

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“…However, the energy analysis is not always combined with an in-depth examination of the indoor environment [14,15]. Other research focused on the analysis of the outdoor context in terms of meteorological data [16][17][18], on the optimization of passive devices and techniques [19][20][21][22][23]. However, these strategies are not always easy to apply, especially to existing buildings.…”

Section: Introductionmentioning

confidence: 99%

A Methodological Comparison between Energy and Environmental Performance Evaluation

et al. 2015

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Abstract:The European Union is working on strategies in order to increase the energy efficiency of buildings. A useful solution is to identify the energy performance of buildings through the Energy Performance Certificate (EPC), as it provides information for the comparison of buildings with different architectural typology, shape, design technology and geographic location. However, this tool does not assess the real energy consumption of the building and does not always take into account its impact on the environment. In this work, two different types of analysis were carried out: one based only on the energy efficiency and the other one based on the environmental impact. Those analyses were applied on a standard building, set in three different Italian locations, with the purpose of obtaining cross-related information. After the evaluation of the results, interventions on some parameters (walls insulation, windows frame, filler gas in the insulated glazing) have been identified in order to improve the energy behavior of the building with an acceptable environmental impact. The aim of this paper is to propose a methodology that integrates the EPC with green building rating systems, leading to a more conscious choice of retrofit interventions as a compromise between energy performances and environmental impact. OPEN ACCESSSustainability 2015, 7 10325

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Climate models for the assessment of office buildings energy performance

Cited by 32 publications

References 16 publications

An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches

An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches

Predicting Energy Usage Using Historical Data and Linear Models

A Methodological Comparison between Energy and Environmental Performance Evaluation

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