Understanding the performance gap in energy retrofitting: Measured input data for adjusting building simulation models
暂无分享,去创建一个
Juan J. Sendra | Javier Neila | Olivia Guerra-Santin | E. Cuerda | J. J. Sendra | O. Guerra-Santin | J. Neila | F. J. Neila | E. Cuerda
[1] Martin Fischer,et al. Parametric analysis of design stage building energy performance simulation models , 2018, Energy and Buildings.
[2] Zaid Chalabi,et al. The relative importance of input weather data for indoor overheating risk assessment in dwellings , 2014 .
[3] Michael E. Webber,et al. Using BEopt (EnergyPlus) with energy audits and surveys to predict actual residential energy usage , 2015 .
[4] T. Konstantinou,et al. Considering user profiles and occupants’ behaviour on a zero energy renovation strategy for multi-family housing in the Netherlands , 2018 .
[5] Bojan Milovanović,et al. Comparison of dynamic simulations and the ISO 52016 standard for the assessment of building energy performance , 2019, Applied Energy.
[6] Pieter de Wilde,et al. Building Performance Analysis , 2018 .
[7] Tatjana Vilutiene,et al. Modelling the Effect of the Domestic Occupancy Profiles on Predicted Energy Demand of the Energy Efficient House , 2013 .
[8] C. Tweed,et al. Interdisciplinary perspectives on building thermal performance , 2018 .
[9] Maria Kolokotroni,et al. Using localised weather files to assess overheating in naturally ventilated offices within London's urban heat island , 2012 .
[10] Hiroshi Yoshino,et al. IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods , 2017 .
[11] Rajat Gupta,et al. Understanding occupants: feedback techniques for large-scale low-carbon domestic refurbishments , 2010 .
[12] Olivia Guerra-Santin,et al. Relationship Between Building Technologies, Energy Performance and Occupancy in Domestic Buildings , 2017 .
[13] Dino Bouchlaghem,et al. Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap , 2012 .
[14] Rory V. Jones,et al. The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings , 2015 .
[15] Jones,et al. The gap between simulated and measured energy performance: A case study across six identical new-build flats in the UK , 2015 .
[16] Juan J. Sendra,et al. Towards a calibration of building energy models: A case study from the Spanish housing stock in the Mediterranean climate , 2015 .
[17] Olivia Guerra Santin,et al. Behavioural Patterns and User Profiles related to energy consumption for heating , 2011 .
[18] Natale Arcuri,et al. Behavioral variables and occupancy patterns in the design and modeling of Nearly Zero Energy Buildings , 2017 .
[19] Dirk Saelens,et al. Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour , 2016 .
[20] Francesca Stazi,et al. Experimental comparison between 3 different traditional wall constructions and dynamic simulations to identify optimal thermal insulation strategies , 2013 .
[21] Jan Carmeliet,et al. Brick Cavity Walls: A Performance Analysis Based on Measurements and Simulations , 2007 .
[22] J. New,et al. Evaluation of weather datasets for building energy simulation , 2012 .
[23] Paul Raftery,et al. A review of methods to match building energy simulation models to measured data , 2014 .
[24] Zhiqiang Zhai,et al. Advances in building simulation and computational techniques: A review between 1987 and 2014 , 2016 .
[25] Hans Auer,et al. The impact of consumer behavior on residential energy demand for space heating , 1998 .
[26] Olivia Guerra-Santin,et al. Comparing the impact of presence patterns on energy demand in residential buildings using measured data and simulation models , 2019, Building Simulation.
[27] Mohammed Al-Khawaja,et al. Determination and selecting the optimum thickness of insulation for buildings in hot countries by accounting for solar radiation , 2004 .
[28] Olivia Guerra-Santin,et al. Learning from design reviews in low energy buildings , 2014 .
[29] Soteris A. Kalogirou,et al. Comparison between measured and calculated energy performance for dwellings in a summer dominant environment , 2011 .
[30] Tianzhen Hong,et al. A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures , 2017 .
[31] Juan J. Sendra,et al. On the assessment of the energy performance and environmental behaviour of social housing stock for the adjustment between simulated and measured data: The case of mild winters in the Mediterranean climate of southern Europe , 2017 .
[32] Pieter de Wilde,et al. The gap between predicted and measured energy performance of buildings: A framework for investigation , 2014 .
[33] O. Guerra-Santin,et al. Occupants' behaviour: determinants and effects on residential heating consumption , 2010 .
[34] Juan J. Sendra,et al. An approach to modelling envelope airtightness in multi-family social housing in Mediterranean Europe based on the situation in Spain , 2016 .
[35] Tony Roskilly,et al. This Work Is Licensed under a Creative Commons Attribution 4.0 International License Royapoor M, Roskilly T. Building Model Calibration Using Energy and Environmental Data. Energy and Buildings Building Model Calibration Using Energy and Environmental Data Keywords: Model Calibration Measured Energy , 2022 .
[36] Afif Hasan,et al. Optimizing insulation thickness for buildings using life cycle cost , 1999 .
[37] J. B. Siviour,et al. Experimental U-values of some house walls , 1994 .
[38] Ray Galvin,et al. Introducing the prebound effect: the gap between performance and actual energy consumption , 2012 .
[39] Liwei Tian,et al. A study on optimum insulation thicknesses of external walls in hot summer and cold winter zone of China , 2009 .
[40] Hugo Hens,et al. Comparison of measurements and simulations of a passive house , 2005 .
[41] Joseph Andrew Clarke,et al. Energy Simulation in Building Design , 1985 .
[42] Tianzhen Hong,et al. Occupancy schedules learning process through a data mining framework , 2015 .
[43] Laurent Georges,et al. Influence of occupant’s behavior on heating needs and energy system performance: A case of well-insulated detached houses in cold climates , 2015 .
[44] Samuel Domínguez-Amarillo,et al. Social housing airtightness in Southern Europe , 2019, Energy and Buildings.
[45] P. E. Condon,et al. In-situ measurements of residential energy performance using electric co-heating , 1980 .
[46] F. J. Neila González,et al. Definiendo patrones de ocupación mediante la monitorización de edificios existentes , 2017 .
[47] Tianzhen Hong,et al. A data-mining approach to discover patterns of window opening and closing behavior in offices , 2014 .
[48] Alex Summerfield,et al. The reality of English living rooms - A comparison of internal temperatures against common model assumptions , 2013 .
[49] Henk Visscher,et al. The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock , 2009 .
[50] Paul Raftery,et al. Calibrating whole building energy models: Detailed case study using hourly measured data , 2011 .
[51] Daniel E. Fisher,et al. EnergyPlus: creating a new-generation building energy simulation program , 2001 .
[52] Lisa Guan,et al. Preparation of future weather data to study the impact of climate change on buildings , 2009 .
[53] Ak Persily,et al. Measuring Airflow Rates with Pulse Tracer Techniques , 1990 .
[54] Bernard Marie Lachal,et al. Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data , 2004 .
[55] Niccolò Aste,et al. The influence of the external walls thermal inertia on the energy performance of well insulated buildings , 2009 .
[56] P. James,et al. Developing English domestic occupancy profiles , 2019 .
[57] Adrian Leaman,et al. Evaluating housing performance in relation to human behaviour: new challenges , 2010 .
[58] Horace Herring,et al. Energy efficiency and sustainable consumption : the rebound effect , 2009 .
[59] Sylvain Robert,et al. State of the art in building modelling and energy performances prediction: A review , 2013 .
[60] Juan J. Sendra,et al. Protocols for measuring the airtightness of multi-dwelling units in Southern Europe , 2011 .