Quantitative energy performance assessment methods for existing buildings

Wang, Shengwei; Yan, Chengchu; Xiao, Fu

doi:10.1016/j.enbuild.2012.08.037

Cited by 267 publications

(145 citation statements)

References 29 publications

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“…Wang et al (2012b) provide an extensive overview of energy performance quantification and assessment methods. These methods use mathematical equations to relate physical properties of the building, system, and equipment specifications to its external environment.…”

Section: Magnitude and Underlying Causesmentioning

confidence: 99%

“…To design and operate more efficient buildings, many classification schemes have been established, providing a means to communicate a building's relative energy efficiency and carbon emissions (Wang et al, 2012b). These assessment schemes are related to the energy consumption of a building and can be quantified using different methods, both in the design stage [e.g., asset ratings, energy performance certificates (EPC), and part L calculations in the UK] and operational stage [e.g., operational ratings, display energy certificates (DEC) in the UK] of a building.…”

Section: The Energy Performance Gapmentioning

confidence: 99%

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A Review of the Regulatory Energy Performance Gap and Its Underlying Causes in Non-domestic Buildings

et al. 2016

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This paper reviews the discrepancy between predicted and measured energy use in non-domestic buildings in a UK context with outlook to global studies. It explains differences between energy performance quantification and classifies this energy performance gap as a difference between compliance and performance modeling with measured energy use. Literary sources are reviewed in order to signify the magnitude between predicted and measured energy use, which is found to deviate by +34% with a SD of 55% based on 62 buildings. It proceeds in describing the underlying causes for the performance gap, existent in all stages of the building life cycle, and identifies the dominant factors to be related to specification uncertainty in modeling, occupant behavior, and poor operational practices having an estimated effect of 20-60, 10-80, and 15-80% on energy use, respectively. Other factors that have a high impact are related to establishing the energy performance target, such as early design decisions, heuristic uncertainty in modeling, and occupant behavior. Finally, action measures and feedback processes in order to reduce the performance gap are discussed, indicating the need for energy in-use legislation, insight into design stage models, accessible energy data, and expansion of research efforts toward building performance in-use in relation to predicted performance. Keywords: energy performance gap, energy use in buildings, predictions, measurements, feedback, postoccupancy evaluation HiGHLiGHTS 1. Classifies the performance gap and analyses its magnitude and underlying causes. 2. The regulatory energy gap is found to deviate by +34% with a SD of 55% based on 62 case study buildings. 3. Specification uncertainty, occupant behavior, and poor practice are dominant underlying causes with an estimated effect of 20-60, 10-80, and 15-80% on energy use, respectively. 4. Action measures to reduce the energy performance gap in contrast to the building life cycle are discussed. 5. There is a need to develop techniques to mitigate the magnitude and underlying causes of the performance gap.

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Section: Magnitude and Underlying Causesmentioning

confidence: 99%

Section: The Energy Performance Gapmentioning

confidence: 99%

A Review of the Regulatory Energy Performance Gap and Its Underlying Causes in Non-domestic Buildings

et al. 2016

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“…Building energy performance is mainly determined by six factors: climate, building envelope, building services and energy systems, building operation and maintenance, occupants' activities and behaviour and indoor environmental quality provided, as summarized in IEA Annex 53 project. The energy performance assessment approaches in the building sector can be classified into two major categories, namely performance-based and feature-specific approaches [15]. Using the performance-based approach, assessment results are obtained by comparing the performance indicators (e.g.…”

Section: -Energy Issue At the Meso Scale: The Buildingmentioning

confidence: 99%

Energy and architecture — An overview

Sonetti

2013

EPJ Web of Conferences

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Summary. -This paper aims to provide a short overview on the complex aspects and growing concern about energy in architecture by gradually zooming into it, starting from a macro-scale analysis of building contribution in the total EU energy consumption, related policies, user behaviour's impacts and vernacular architecture techniques; then looking at the meso scale of building energy performance during its use, dynamic simulations of heat transfer and insights from a whole life cycle analysis of the energy involved during construction and disposal phases; finally, at the building element micro-scale, describing local heat transfer and human thermal comfort measurements. Conclusions gather recommendations and further scenarios where different stakeholders and techniques can play their part for a wiser and more sustainable energy use, and a better built environment for us and those to come.

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“…SBEM predicts monthly energy use and CO2 emissions of a building, using variables such as building geometry, construction, function and usage, HVAC systems and lighting [16]. The SBEM uses a steady-state model for its building energy calculation, which is highly simplified and highly computational -as it largely ignores any dynamic characteristic [17], and is mainly intended as a CO2 emissions compliance tool [18] rather than energy simulation software.…”

Section: Predicted and Simulated Building Performancementioning

confidence: 99%

Energy Prediction versus Energy Performance of Green Buildings in Malaysia. Comparison of Predicted and Operational Measurement of GBI Certified Green Office in Kuala Lumpur

Zaid

Kiani

2016

MATEC Web Conf.

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Abstract.Forward from the sustainability agenda of Brundtland in 1987 and the increasing demand for energy efficient buildings, the building industry has taken steps in meeting the challenge of reducing its environmental impact. Initiatives such as 'green' or 'sustainable' design have been at the forefront of architecture, while green assessment tools have been used to predict the energy performance of building during its operational phase. However, there is still a significant hap between predicted or simulated energy measurements compared to actual operational energy consumption, or is more commonly referred as the 'performance gap'. This paper tries to bridge this gap by comparing measured operational energy consumption of a Green Building Index (GBI) certified office building in Kuala Lumpur, with its predicted energy rating qualification.

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Quantitative energy performance assessment methods for existing buildings

Cited by 267 publications

References 29 publications

A Review of the Regulatory Energy Performance Gap and Its Underlying Causes in Non-domestic Buildings

A Review of the Regulatory Energy Performance Gap and Its Underlying Causes in Non-domestic Buildings

Energy and architecture — An overview

Energy Prediction versus Energy Performance of Green Buildings in Malaysia. Comparison of Predicted and Operational Measurement of GBI Certified Green Office in Kuala Lumpur

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