UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands

Korolija, Ivan; Marjanovic-Halburd, Ljiljana; Yi, Zhang; Hanby, V. I.

doi:10.1016/j.enbuild.2012.12.032

Cited by 87 publications

(41 citation statements)

References 22 publications

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“…This approach generalises the characteristics of a particular building type, and represents variability in the building stock by parameterising construction elements, components, design features, and occupancy/usage patterns (Korolija et al, 2013). The basis of the bottom-up archetype approach is to calculate the energy use of a set of archetype buildings using the engineering method, i.e.…”

Section: Archetype Development and Assumptionsmentioning

confidence: 99%

Modelling the energy and exergy utilisation of the Mexican non-domestic sector: A study by climatic regions

et al. 2015

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This paper presents the development of a bottom-up stock model to perform a holistic energy study of the Mexican non-domestic sector. The current energy and exergy flows are shown based on a categorisation by climatic regions with the aim of understanding the impact of local characteristics on regional efficiencies. Due to the limited data currently available, the study is supported by the development of a detailed archetype-based stock model using EnergyPlus as a first law analysis tool combined with an existing exergy analysis method. Twenty-one reference models were created to estimate the electric and gas use in the sector. The results indicate that sectoral energy and exergy annual input are 95.37 PJ and 94.28 PJ respectively. Regional exergy efficiencies were found to be 17.8%, 16.6% and 23.2% for the hot-dry, hot-humid and temperate climates respectively. The study concludes that significant potential for improvements still exists, especially in the cases of space conditioning, lighting, refrigeration, and cooking where most exergy destructions occur. Additionally, this work highlights that the method described may be further used to study the impact of large-scale refurbishments and promote national regulations and standards for sustainable buildings that takes into consideration energy and exergy indicators.

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Section: Archetype Development and Assumptionsmentioning

confidence: 99%

Modelling the energy and exergy utilisation of the Mexican non-domestic sector: A study by climatic regions

et al. 2015

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“…Although there have been a number of studies which developed simple load prediction models for office buildings and other building types, 3,4,5,8,9 few equations have been updated on cutting-edge technologies and recent performance of parameters for office buildings in Korea. Based on intensive literature search, energyrelated design parameters and performance levels which affect energy consumption were established for a baseline building.…”

Section: Methods and Scope Of Studymentioning

confidence: 99%

A Development of Heating and Cooling Load Prediction Equations for Office Buildings in Korea

Kang

Rhee

2014

Journal of Asian Architecture and Building Engineering

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The study intends to develop energy load prediction equations which can be easily used to estimate the energy consumption of office buildings in the central climatic zone in Korea during the early design stage. Based on an intensive literature search, energy strategies and performance levels which affect heating and cooling energy consumption were established for a reference baseline building. To analyze the sensitivity of each energy strategy to overall performance, the table of Orthogonal Array was used to decrease the number of experiments to 81 in spite of the fact that the required number for carrying out the simulation was 3 24 (= 282,429,536,481). The computer simulation was performed using EnergyPlus. At the same time, the Analysis of Variance was conducted to estimate the relative importance of each energy factor. The results of the ANOVA were used as data for multiple regression analysis which could develop the load prediction equations. The proposed equation will provide architects with a simple and yet reliable tool to estimate the energy load of a building at the early design stage. At the same time, it will enable architects to develop the best design solution in terms of energy performance.

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“…The concept of an archetype is an abstract model that generalises the characteristics of a particular building type, and represents variability in a building's stock, by parameterising construction elements, components, design features, and occupancy/usage. There is plenty of evidence to believe that building's energy systems, envelope characteristics, activity, and building's service efficiency have an effect on energy use (Korolija et al, 2013). In this research, several data sources were required (Pout et al, 2002;ASHRAE Standard-55, 2004;CIBSE Guide F, 2012;and CIBSE Guide A, 2015) to construct and calibrate representative building models.…”

Section: Data Sources and Archetype Developmentmentioning

confidence: 99%

The role of an exergy-based building stock model for exploration of future decarbonisation scenarios and policy making

et al. 2017

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State-of-the-art research suggests that energy systems are best evaluated using exergy analysis, as exergy represents the real value of an energy source, demonstrating it to be the only rational basis for evaluation. After discovering the lack of thermodynamic integration into stock modelling, this paper presents the development of an exergy-based building stock model. The aim of this paper is twofold. Firstly, to investigate the impact of large-scale future energy retrofit scenarios in the English and Welsh (E&W) non-domestic sector, and secondly, to determine the potential of exergy analysis in improving sectoral efficiency and its potential implications on exergy-oriented policy making. The research explores seven different largescale future retrofit scenarios that encompass typical, low-carbon, and low-exergy approaches. Modelling results show that by 2050, current regulations have the potential to reduce carbon emissions by up to 49.0 ±2.9% and increasing sector thermodynamic efficiency from 10.7% to 13.7%. On the other hand, a low-exergy oriented scenario based on renewable electricity and heat pumps is able to reduce carbon emissions by 88.2 ±2.4%, achieving a sectoral exergy efficiency of 19.8%. This modelling framework can provide energy policy makers with new insights on policy options based on exergy indicators and the assessment of their potential impact.

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UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands

Cited by 87 publications

References 22 publications

Modelling the energy and exergy utilisation of the Mexican non-domestic sector: A study by climatic regions

Modelling the energy and exergy utilisation of the Mexican non-domestic sector: A study by climatic regions

A Development of Heating and Cooling Load Prediction Equations for Office Buildings in Korea

The role of an exergy-based building stock model for exploration of future decarbonisation scenarios and policy making

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