A novel approach for selecting typical hot-year (THY) weather data

Abstract

The global climate change has resulted in not only warmer climate conditions but also more frequent extreme weather events, such as heat waves. However, the impact of heat waves on the indoor environment has been investigated in a limited manner. In this research, the indoor thermal environment is analyzed using a building performance simulation tool for a typical residential building in multiple cities in China, over a time period of 60 years using actual measured weather data, in order to gain a better understanding of the effect of heat wave events. The simulation results were used to analyze the indoor environment during hot summers. A new kind of weather data referred to as the typical hot year was defined and selected based on the simulated indoor environment during heat waves. The typical hot-year weather data can be used to simulate the indoor environment during extreme heat events and for the evaluation of effective technologies and strategies to mitigate against the impact of heat waves on the energy demand of buildings and human health. The limitations of the current study and future work are also discussed.

A Methodology for Assembling Future Weather Files Including Heatwaves for Building Thermal Simulations from the European Coordinated Regional Downscaling Experiment (EURO-CORDEX) Climate Data

“…A relative threshold of 95% percentile of the minimum temperature was used by [94] to find hot night hours and to calculate a hot night degree index, leading to an estimation of the intensity of nocturnal thermal stress. Guo et al used a daily minimal temperature absolute threshold of 26.7 • C, using the same one as Robinson [83,95]. The heatwaves detection method we used is based on relative thresholds, which allows the replicability of the method in another climate.…”

Variação do potencial bioclimático em São Paulo frente ao cenário de mudanças climáticas

“…Vários AOGCMs simulam mudanças climáticas considerando a influência antropogênica, com base na evolução observada das concentrações de gases de efeito estufa desde o início do período industrial até os dias atuais e preveem cenários para o futuro (ROUX, SCHALBART e ASSOUMOU, 2016). No entanto, apesar de suas limitações, os GCMs são modelos científicos amplamente utilizados pela comunidade científica, para prever dados climáticos globais passados e futuros e contribuem diretamente como base para a geração de futuros arquivos climáticos, considerando os impactos das mudanças climáticas (BAI, YANG e SONG, 2019;GUO et al, 2019;WADDICOR et al, 2016;GUAN, 2009;GUAN, 2012). Além disso, eles podem ser usados em simulações de edifícios e podem se tornar um importante instrumento de tomada de decisão na busca de medidas mitigadoras para esses impactos futuros.…”

Possibilities of Balancing Buildings Energy Demand for Increasing Energy Efficiency in Latvia

“…Monitoring of a building's heat consumption helps to foreseeing potential energy savings and optimize energy consumption, indoor comfort options, as well as addressing economic issues related to energy efficiency. In this context, a simulation of the energy consumption of a typical building can be used to study the heat consumption in engineering and design conditions, such as the thermal properties of the building [18], the behaviour of occupants [19], [20] the effects of different weather conditions [21], [22] and energy supply systems [23]. Energy simulation tools are commonly used to assess and optimize the reduction of energy consumption in buildings.…”