Energy demand for the heating and cooling of residential houses in Finland in a changing climate

Role of Winter Weather Conditions and Slipperiness on Tourists’ Accidents in Finland

“…When evaluating future prospects with respect to climate change, we have to consider the following points:

The future climate predictions. The scenarios provided by the Finnish Meteorological Institute indicate that there will be more warming (in a range of 3–9 °C) and increased precipitations (by 10%–40%) in the winter than in summer (where temperatures are predicted to rise by 1–5 °C and precipitation to increase by 0%–20%) and these winter changes will have a greater impact in the north of the country [48]. These predictions suggest that there will be more freezing point days (with daily minimum temperature below zero and maximum temperature above zero) and therefore the number of frost and thaw cycles will increase in the future meaning that the occurrence of slippery conditions, especially rain on icy surface (scenario 4), will be more common.

The possible concentration of tourists during certain periods due to the possible shortening of winter season in the future.

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Making energy simulation easier for future climate – Synthesizing typical and extreme weather data sets out of regional climate models (RCMs)

“…Wang and Chen [22] compared the projected TMY3 data using HadCM3 global model with the actual TMY3 data and applied morphing technique to create hourly weather data. Jylhä et al [67] performed the impact assessment of climate change by creating hourly weather data sets, using test reference years (TRYs) and considering multiple climate scenarios. In several works for assessing impact of climate change, combined with socio-economic factors, cooling and heating degree days (CCD and HDD) were calculated and applied in regression analysis (e.g.…”

Life cycle energy balance of residential buildings: A case study on hypothetical building models in Finland

“…The results of the study is limited to the current climate condition in Helsinki region. The operational energy profiles naturally vary depending on location, climate area and temporal climate condition used in the simulation, as demonstrated by several studies[12,[54][55][56][57][58]. For instance, Dodoo et al[12] compared the final energy use for space heating of the case study building at the three different locations in Sweden; Växjö (56°9'N, 14°5'E), Östersund (63°2'N, 14°4'E) and Kiruna (67°8'N, 20°0'E).…”