scholarly journals Climate change impact on energy demand in building-urban-atmosphere simulations through the 21st century

2019 ◽  
Vol 14 (12) ◽  
pp. 125014 ◽  
Author(s):  
Mathew J Lipson ◽  
Marcus Thatcher ◽  
Melissa A Hart ◽  
Andrew Pitman
2019 ◽  
Vol 26 (3) ◽  
pp. 442-453 ◽  
Author(s):  
Mărgărit-Mircea Nistor ◽  
Marcel Mîndrescu ◽  
Dănuţ Petrea ◽  
Alexandru-Sabin Nicula ◽  
Praveen K. Rai ◽  
...  

Author(s):  
Jakob Johansson ◽  
Anna Furberg ◽  
Fredrik Schultheiss

The traditional method for recycling brass chips is to send the scrap back to the material manufacturer for re-melting. Alternatively, brass chips can be reclaimed through hot forging operations at the production site. As an initial screening of the environmental impact of this novel reclamation method, the impacts of this new method was compared to conventional brass production (including recycling) for a specific part. These two production routes were compared in terms of cumulative energy demand and climate change impact. The comparison between the two production routes showed that the new reclamation method reduced the cumulative energy demand with 29 % and climate change impact with 30 % for production of a specific part compared to conventional recycling. It is, however, important to note that the material produced using hot forging reclamation method have slightly lower mechanical properties as compared to the traditionally recycled material. Currently the novel recycling method is only tested in lab scale and therefore, further studies are needed in order to fully assess the environmental impacts of the new reclamation method compared to conventional brass production.


2017 ◽  
Author(s):  
Abdelkader Mezghani ◽  
Andreas Dobler ◽  
Jan Erik Haugen ◽  
Rasmus Eduard Benestad ◽  
Kajsa Maria Parding ◽  
...  

Abstract. The CHASE-PL (Climate change impact assessment for selected sectors in Poland) Climate Projections – Bias Corrected Daily Precipitation and Temperature dataset 5 km (CPLCP-GDPT5) consists of projected daily minimum and maximum air temperatures and precipitation totals of nine EURO-CORDEX regional climate model outputs bias corrected and downscaled to 5 × 5 km grid. Simulations of one historical period (1971–2000) and two future horizons (2021–2050 and 2071–2100) assuming two Representative Concentration Pathways (RCP4.5 and RCP8.5) were produced. We used the quantile mapping method and corrected any systematic bias in these simulations before assessing the changes in annual and seasonal means of precipitation and temperature over Poland. Projected changes estimated from the multi-model ensemble mean showed that annual means of temperature are expected to increase constantly by 1 °C until 2021–2050 and by 2 °C until 2071–2100 assuming the RCP4.5, which is accelerating assuming the RCP8.5 scenario and can reach up to almost 4 °C by 2071–2100. Similarly to temperature, projected changes in regional annual means of precipitation are expected to increase by 6 % to 10 % and by 8 % to 16 % for the two future horizons and RCPs, respectively. Similarly, individual model simulations also exhibited warmer and wetter conditions on an annual scale, showing an intensification of the magnitude of the change at the end of the 21st century. The same applied for projected changes in seasonal means of temperature showing a higher winter warming rate by up to 0.5 °C compared to the other seasons. However, projected changes in seasonal means of precipitation by the individual models largely differ and are sometimes inconsistent exhibiting spatial variations which depends on the selected season, location, future horizon and RCP. The overall range of the 90 % confidence interval predicted by the ensemble of multi-model simulations was found to likely vary between −7 % and +40 %, expected to occur in summer assuming the RCP4.5 scenarios and in winter assuming the RCP8.5 scenario, respectively, at the end of the 21st century. Finally, this high-resolution bias-corrected product can serve as a basis for climate change impact and adaptation studies for many sectors over Poland. CPLCP-GDPT5 dataset is publicly available at​ ​http://dx.doi.org/10.4121/uuid:e940ec1a-71a0-449e-bbe3-29217f2ba31d.


2017 ◽  
Vol 9 (2) ◽  
pp. 905-925 ◽  
Author(s):  
Abdelkader Mezghani ◽  
Andreas Dobler ◽  
Jan Erik Haugen ◽  
Rasmus E. Benestad ◽  
Kajsa M. Parding ◽  
...  

Abstract. The CHASE-PL (Climate change impact assessment for selected sectors in Poland) Climate Projections – Gridded Daily Precipitation and Temperature dataset 5 km (CPLCP-GDPT5) consists of projected daily minimum and maximum air temperatures and precipitation totals of nine EURO-CORDEX regional climate model outputs bias corrected and downscaled to a 5 km  ×  5 km grid. Simulations of one historical period (1971–2000) and two future horizons (2021–2050 and 2071–2100) assuming two representative concentration pathways (RCP4.5 and RCP8.5) were produced. We used the quantile mapping method and corrected any systematic seasonal bias in these simulations before assessing the changes in annual and seasonal means of precipitation and temperature over Poland. Projected changes estimated from the multi-model ensemble mean showed that annual means of temperature are expected to increase steadily by 1 °C until 2021–2050 and by 2 °C until 2071–2100 assuming the RCP4.5 emission scenario. Assuming the RCP8.5 emission scenario, this can reach up to almost 4 °C by 2071–2100. Similarly to temperature, projected changes in regional annual means of precipitation are expected to increase by 6 to 10 % and by 8 to 16 % for the two future horizons and RCPs, respectively. Similarly, individual model simulations also exhibited warmer and wetter conditions on an annual scale, showing an intensification of the magnitude of the change at the end of the 21st century. The same applied for projected changes in seasonal means of temperature showing a higher winter warming rate by up to 0.5 °C compared to the other seasons. However, projected changes in seasonal means of precipitation by the individual models largely differ and are sometimes inconsistent, exhibiting spatial variations which depend on the selected season, location, future horizon, and RCP. The overall range of the 90 % confidence interval predicted by the ensemble of multi-model simulations was found to likely vary between −7 % (projected for summer assuming the RCP4.5 emission scenario) and +40 % (projected for winter assuming the RCP8.5 emission scenario) by the end of the 21st century. Finally, this high-resolution bias-corrected product can serve as a basis for climate change impact and adaptation studies for many sectors over Poland. The CPLCP-GDPT5 dataset is publicly available at http://dx.doi.org/10.4121/uuid:e940ec1a-71a0-449e-bbe3-29217f2ba31d.


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