Verification of the use of hybrid weather files for concurrent assessment of space heating and indoor overheating
暂无分享,去创建一个
[1] D. Mumovic,et al. Dynamic modelling of indoor environmental conditions for future energy retrofit scenarios across the UK school building stock , 2022, Journal of Building Engineering.
[2] Z. Chalabi,et al. On the robustness of thermal comfort against uncertain future climate: A Bayesian bootstrap method , 2022, Building and Environment.
[3] D. Mumovic,et al. Energy retrofit and passive cooling: overheating and air quality in primary schools , 2022, Buildings and Cities.
[4] B. Howard,et al. Multi-criteria robustness assessment of a sequential whole-building design optimization , 2021, Building Simulation Conference Proceedings.
[5] E. Ng,et al. Applicability of different extreme weather datasets for assessing indoor overheating risks of residential buildings in a subtropical high-density city , 2021, Building and Environment.
[6] M. Inouye,et al. Green Algorithms: Quantifying the Carbon Footprint of Computation , 2020, Advanced science.
[7] W. Feng,et al. Tradeoff between heating energy demand in winter and indoor overheating risk in summer constrained by building standards , 2020, Building Simulation.
[8] S. Natarajan,et al. UK Passivhaus and the energy performance gap , 2020 .
[9] Simon Portegies Zwart,et al. The ecological impact of high-performance computing in astrophysics , 2020, Nature Astronomy.
[10] D. Mumovic,et al. Building performance evaluation: Balancing energy and indoor environmental quality in a UK school building , 2020 .
[11] Tianzhen Hong,et al. A novel approach for selecting typical hot-year (THY) weather data , 2019, Applied Energy.
[12] A. Mylona,et al. Investigating the impacts of a changing climate on the risk of overheating and energy performance for a UK retirement village adapted to the nZEB standards , 2019, Building Services Engineering Research and Technology.
[13] P. James,et al. Evaluation of Retrofit Approaches for Two Social Housing Tower Blocks in Portsmouth, UK , 2018 .
[14] Robert S. McLeod,et al. Chronic overheating in low carbon urban developments in a temperate climate , 2017 .
[15] Manuel Herrera,et al. A review of current and future weather data for building simulation , 2017 .
[16] Phillip Biddulph,et al. Mapping indoor overheating and air pollution risk modification across Great Britain: A modelling study , 2016 .
[17] Mark Mulville,et al. The impact of regulations on overheating risk in dwellings , 2016 .
[18] Drury B. Crawley,et al. Rethinking the TMY: is the ‘Typical’ Meteorological Year Best for Building Performance Simulation? , 2015, Building Simulation Conference Proceedings.
[19] Moncef Krarti,et al. KivaTM: a numerical framework for improving foundation heat transfer calculations , 2015 .
[20] David Coley,et al. On the creation of future probabilistic design weather years from UKCP09 , 2011 .
[21] Daniel E. Fisher,et al. EnergyPlus: creating a new-generation building energy simulation program , 2001 .
[22] Mike E. Davies,et al. Bridging the gap: The need for a systems thinking approach in understanding and addressing energy and environmental performance in buildings , 2019 .
[23] Rajat Gupta,et al. Assessing energy use and overheating risk in net zero energy dwellings in UK , 2018 .