Energy performance gap in refurbished German dwellings: Lesson learned from a field test

Calı̀, Davide; Osterhage, Tanja; Streblow, Rita; Müller, Dirk

doi:10.1016/j.enbuild.2016.05.020

Cited by 203 publications

(109 citation statements)

References 17 publications

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“…The availability of more interdisciplinary occupants' data-driven knowledge-and behavioral models-to simulate varying parameters associated with specific building features or climate can further provide insights into actual energy performance fluctuations in buildings. This will help to bridge the accuracy gap between the predicted and actual human-building interaction, and, hence, energy performance, consumption, and comfort [9,54,95,96].…”

Section: 23modeling and Simulation Advancementsmentioning

confidence: 99%

Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings

D’Oca

Chen

Hong

et al. 2017

Energy Research & Social Science

108

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This study introduces an interdisciplinary framework for investigating building-user interaction in office spaces. The framework is a synthesis of theories from building physics and social psychology including social cognitive theory, the theory of planned behavior, and the driversneeds-actions-systems ontology for energy-related behaviors. The goal of the research framework is to investigate the effects of various behavioral adaptations and building controls (i.e., adjusting thermostats, operating windows, blinds and shades, and switching on/off artificial lights) to determine impacts on occupant comfort and energy-related operational costs in the office environment. This study attempts to expand state-of-the-art understanding of: (1) the environmental, personal, and behavioral drivers motivating occupants to interact with building control systems across four seasons, (2) how occupants' intention to share controls is influenced by social-psychological variables such as attitudes, subjective norms, and perceived behavioral control in group negotiation dynamic, (3) the perceived ease of usage and knowledge of building technologies, and (4) perceived satisfaction and productivity. To ground the validation of the theoretical framework in diverse office settings and contexts at the international scale, an online survey was designed to collect cross-country responses from office occupants among 14 universities and research centers within the United States, Europe, China, and Australia.

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Section: 23modeling and Simulation Advancementsmentioning

confidence: 99%

Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings

D’Oca

Chen

Hong

et al. 2017

Energy Research & Social Science

108

View full text Add to dashboard Cite

show abstract

“…Assumed heat loss was largely impacted by the building's wall-to-window ratio; additional framing used to support openings increasing the overall heat loss, resulting in an overestimation of performance. A further study on residential buildings during a retrofit project in Southern Germany highlighted the impact of the performance gap on such projects [14]. Incorrect assumptions of pre-retrofit building fabric and system performance were shown to give much more ambitious predictions of energy savings than was observed after the installation of retrofit.…”

Section: Introductionmentioning

confidence: 99%

Variations in the U-Value Measurement of a Whole Dwelling Using Infrared Thermography under Controlled Conditions

et al. 2018

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U-values of building elements are often determined using point measurements, where infrared imagery may be used to identify a suitable location for these measurements. Current methods identify that surface areas exhibiting a homogeneous temperature-away from regions of thermal bridging-can be used to obtain U-values. In doing so, however, the resulting U-value is assumed to represent that entire building element, contrary to the information given by the initial infrared inspection. This can be problematic when applying these measured U-values to models for predicting energy performance. Three techniques have been used to measure the U-values of external building elements of a full-scale replica of a pre-1920s U.K. home under controlled conditions: point measurements, using heat flux meters, and two variations of infrared thermography at high and low resolutions. U-values determined from each technique were used to calibrate a model of that building and predictions of the heat transfer coefficient, annual energy consumption, and fuel cost were made. Point measurements and low-resolution infrared thermography were found to represent a relatively small proportion of the overall U-value distribution. By propagating the variation of U-values found using high-resolution thermography, the predicted heat transfer coefficient (HTC) was found to vary between 183 W/K to 235 W/K (±12%). This also led to subsequent variations in the predictions for annual energy consumption for heating (between 4923 kWh and 5481 kWh, ±11%); and in the predicted cost of that energy consumption (between £227 and £281, ±24%). This variation is indicative of the sensitivity of energy simulations to sensor placement when carrying out point measurements for U-values.

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“…Whilst improvements in the building fabric and energy efficiency of household technologies are seen as key to reducing housing energy consumption (Ekins, 2009), studies have indicated that even with more efficient technologies installed, households do not necessarily consume less (Calì, Osterhage, Streblow, & Müller, 2016;TSB, 2014). A key factor in the variation of the energy demand is occupant behaviour, which has been recognized as influencing energy consumption in identical homes by a factor of three or more (Gram-Hanssen, 2010;Janda, 2011).…”

Section: Introductionmentioning

confidence: 99%

Exploring innovative community and household energy feedback approaches

Gupta

Barnfield

Gregg

2017

Building Research & Information

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Most research to date on the provision of energy feedback to households has focused on assessing the efficacy of numeric-based feedback. This paper describes the application and evaluation of more visual energy feedback techniques (carbon mapping, thermal imaging) at different scales, alongside traditional methods (web-based energy and environmental visualization platform, home energy reports) delivered through community workshops, home visits and the internet, across six low-carbon communities in the UK. Overall, most of the feedback approaches were able to engage and raise awareness amongst the householders. Whilst carbon mapping was felt to be aimed more at community groups and local councils by providing evidence of past and future community action, displaying carbon maps at community workshops helped to show that others were also engaged in energy action. Thermal imaging was successful in engaging individual local residents through both community workshops and home visits, especially when included in the home energy reports. This stimulated discussions on future energy savings through building fabric upgrade. However, the data-driven web-based platform had limited uptake due to online log-in requirement and information overload. Such insights are useful for those involved in scaling up the deployment of energy feedback to encourage energy demand reduction.

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Energy performance gap in refurbished German dwellings: Lesson learned from a field test

Cited by 203 publications

References 17 publications

Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings

Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings

Variations in the U-Value Measurement of a Whole Dwelling Using Infrared Thermography under Controlled Conditions

Exploring innovative community and household energy feedback approaches

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