Analysis and mapping of the heating and cooling degree-days for Morocco at variable base temperatures

Idchabani, Rachida; Garoum, Mohammed; Khaldoun, Asmae

doi:10.1080/01430750.2013.842497

Cited by 25 publications

(7 citation statements)

References 16 publications

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“…Thirty output points from the model match the most populated places and the most famous tourist attractions in Serbia. In order to accurately map HDD/CDD over Serbia andto estimate degree days over the whole territory, the impact of the altitude z [m], longitude θ, and latitude λ [ 0 ] on HDD or CDD values must be taken into account through regression analysis (Idchabania et al, 2013;Vizi et al, 2011). For the information on altitude, longitude, and latitude, we used the Digital Elevation Model (DEM) of Serbia (U.S. Geological Survey, 2017) with resolution of 1-arc-second (approximately 30 m), therefore, final maps of HDD and CDD for reference and future periods has been drawn on this resolution.…”

Section: Regression Analysismentioning

confidence: 99%

Future climate change impacts on residential heating and cooling degree days in Serbia

Janković¹,

Podraščanin²,

Djurdjević³

2019

Időjárás

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Abstract⎯ This study analyzes the potential changes of residential heating and cooling degree days (HDD and CDD) in the 21st century over Serbia with the regional climate model (RCM) EBU-POM under two different forcing scenarios (A1B and A2). The validation of the model shows that the model reproduces the spatial variability, magnitude, and annual cycles of HDD and CDD for the reference period very well. According to both scenarios, a significant decrease of HDD and increase of CDD is expected all over Serbia. The simulations show a spatial heterogeneity in the potential changes, with the largest decrease of HDD in southern (mountainous) Serbia and largest increase of CDD in northern (lowland) Serbia. Results also show that by the end of the 21st century, the existing ratio between populations weighted regional mean CDD and HDD of 1:7.3 could be reduced to 1:2.3 according to the A1B scenario and 1:2.0 according to the A2 scenario. At the end of the 21st century cooling season length will be for about two times longer than at the reference period, while length of the heating season will be reduced for about 25%. According to both scenarios model projected an increase of the heating and cooling season temperature through 21st century by slightly less than 2 °C. Our study is the first research of future changes in HDD and CDD over Serbia based on regional climate modeling. Results of the research should help the policy of energy management and planning through provided indications of future spatial and seasonal changes of HDD and CDD within Serbia.

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Section: Regression Analysismentioning

confidence: 99%

Future climate change impacts on residential heating and cooling degree days in Serbia

Janković¹,

Podraščanin²,

Djurdjević³

2019

Időjárás

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“…These indicators, based on temperature thresholds calibrated on indoor thermal comfort (Kendon et al ., 2016), are frequently applied to observed meteorological data at country scale, for example, over United States (Alola et al ., 2019), Italy (De Rosa et al ., 2015), Greece (Papakostas and Kyriakis (2005), Morocco (Idchabani et al ., 2015), China (Jiang et al ., 2009), South Korea (Lee et al ., 2014), Australia (Ahmed et al ., 2012), and so on. Similarly, studies on projections of CDD and HDD are available mostly at country and macro‐regional scales, for example, for Switzerland (Christenson et al ., 2006), Europe (Spinoni et al ., 2018), China (Shi et al ., 2018), United States (Petri and Caldeira, 2015), and so on.…”

Section: Introductionmentioning

confidence: 99%

Global population‐weighted degree‐day projections for a combination of climate and socio‐economic scenarios

Spinoni

Barbosa

Füssel

et al. 2021

Intl Journal of Climatology

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“…These factors were chosen over other potential factors because they were found to generate the most significant differences in the identification of water consumption ratios since they correspond to exogenous variables that do not depend on the internal management of a hospital but on the thermo-hygrometric conditions of the location and size of the hospital. CDDY and HDDY factors are used to study the influence of geographical conditions, such as latitude, longitude and elevation on water consumption, and because they are typical parameters in this field of research, as stated in the works of Rachida Idchabani et al [28] and Shanmugapriya and Migadlaska [29].…”

Section: Methodsmentioning

confidence: 99%

Quantitative Determination of Potable Cold Water Consumption in German Hospitals

2018

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A hospital's water installations are critical for its function, but the environmental cost is high. This study quantifies the mean potable cold water consumption (PCWC) in 19 hospitals belonging to the German Public Health System. The hospital floor area ranges from 3000 to 151,000 m 2 and the number of beds from 45 to 1003 beds. To this end, 60 Eco-Management and Audit Scheme statements were analyzed corresponding to the period 2005-2015 in accordance with their geographic location, heating-degree-days per year, cold-degree-days per year, hospital category depending on the number of beds, floor area, and number of workers. It was found that PCWC is greater in hospitals located in areas with greater heating-degree-days per year. The potential mean annual savings estimated were 8,600,000 m 3 of water equivalent to 15,000,000 euros, 4000 MWh energy, and 30,000 tons of CO 2 emissions. It was concluded that, to determine the mean annual water consumption, it is preferable to use the number of beds as reference indicator, and the value of the consumption as reference indicator was proposed as 103 m 3 per bed per year.

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Analysis and mapping of the heating and cooling degree-days for Morocco at variable base temperatures

Cited by 25 publications

References 16 publications

Future climate change impacts on residential heating and cooling degree days in Serbia

Future climate change impacts on residential heating and cooling degree days in Serbia

Global population‐weighted degree‐day projections for a combination of climate and socio‐economic scenarios

Quantitative Determination of Potable Cold Water Consumption in German Hospitals

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