Energy consumption based on heating/cooling degree days within the urban environment of Athens, Greece

Moustris, Konstantinos; Nastos, Panagiotis T.; Bartzokas, A.; Larissi, I. K.; Zacharia, Paraskevi Th.; Παλιατσός, Α. Γ.

doi:10.1007/s00704-014-1308-7

Cited by 47 publications

(20 citation statements)

References 31 publications

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“…Empirical studies that correlate energy demand with HDD and CDD, usually find significant correlations with energy prices and income variables (Ruth and Lin, ; Isaac and Van Vuuren, ; Eskeland and Mideksa, ). Other factors include population distribution and density (Taylor, ; Guttman, ; Shi et al, ), the type and insulation of buildings (Lorusso and Maraziti, ; Pérez‐Lombard et al, ; Papakostas et al, ; Kurekci, ), and national laws on heating and cooling (Wang et al, ; Moustris et al, ). Some of these factors cannot be easily included in future projections.…”

Section: Resultsmentioning

confidence: 99%

Changes of heating and cooling degree‐days in Europe from 1981 to 2100

Spinoni

Vogt

Barbosa

et al. 2017

Intl Journal of Climatology

171

116

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During the last decades, the effects of global warming have become apparent also in Europe, causing relevant impacts in many sectors. Under projected future global warming, such a tendency can be expected to persist until the end of this century and beyond. Identifying which climate-related impacts are likely to increase, and by how much, is an important element of any effective strategy for managing future climate risks. This study investigates whether energy demand for cooling and heating buildings can be expected to increase or decrease under climate change. Two indicators of weather-related energy consumption for heating and cooling buildings are considered: heating degree-days (HDD) and cooling degree-days (CDD). The evolution of these indicators has been analysed based on 11 high-resolution bias-adjusted EURO-CORDEX simulations for two emission representative concentration pathways (RCP4.5 and RCP8.5). Both indicators have been validated over the period 1981-2010 using an independent data set that contains more than 4000 station data, showing very high correlation over most of Europe. Trends of HDD and CDD from 1981 to 2100, together with their uncertainties, are analysed. For both RCPs, all simulations project a significant decrease for HDD, especially over Scandinavia and European Russia, and an increase of CDD which peaks over the Mediterranean region and the Balkans. Overall, degree-day trends do not show remarkable differences if population weighting is applied. If a constant population scenario is considered, the decrease in HDD will outbalance the increase in CDD in the 21st century over most of Europe. Thus the related energy demand (expressed as Energy Degree-days, EDD) is expected to decrease. If, however, population projections over the 21st century are included in the calculations, it is shown that despite the persisting warming, EDD will increase over northern Europe, the Baltic countries, Great Britain, Ireland, Benelux, the Alps, Spain, and Cyprus, resulting in an overall increase in EDD over Europe.

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Section: Resultsmentioning

confidence: 99%

Changes of heating and cooling degree‐days in Europe from 1981 to 2100

Spinoni

Vogt

Barbosa

et al. 2017

Intl Journal of Climatology

171

116

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“…Cooling and heating degree days (CDD/HDD) (Sailor, 2001;Moustris et al, 2015) are simple and well-established metrics used to evaluate climate-related energy consumption for space cooling and heating. CDD/HDD represents a measure of how much (in ∘ C) and how long (days), the ambient temperature is above/below specified T thresholds for indoor cooling and heating.…”

Section: Cooling and Heating Degree Daysmentioning

confidence: 99%

Projected changes in future climate over the Midwest and Great Lakes region using downscaled CMIP5 ensembles

Byun

Hamlet

2018

Intl Journal of Climatology

103

113

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Despite an increasing body of evidence that climate change is having a significant impact on different types of biogeophysical systems in the Midwest and Great Lakes region, there still remain critical questions of how quickly and how much climate will be altered over this region in the future. This study provides future daily temperature and precipitation at high resolution (1/16°) which can be used in many regional impact assessments, and also analyses the projected mean and extreme climate events.

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“…This is partly rooted in its’ simplicity but yet a powerful capability to represent a relationship with cooling or heating energy consumptions (Atalla et al , ). In addition, degree‐days are also widely used as climatic indicators for the assessment of the impact of climate change and variability, such as the CDD and HDD in the energy sector (Moustris et al , ), and growing degree‐days (GDD) in the agriculture sector (Schlenker and Roberts, ; Schauberger et al , ). Readers are referred to Spinoni et al () for a more detailed application of degree‐days in various sectoral impact studies.…”

Section: Introductionmentioning

confidence: 99%

Historical global gridded degree‐days: A high‐spatial resolution database of CDD and HDD

Mistry

2019

Geoscience Data Journal

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Cooling and heating degree‐days (CDD/HDD) are important metrics used in energy studies as a proxy for determining demand and consumption patterns of residential/commercial buildings and work spaces. Driven by the requirements of energy impact modellers, policymakers and building design experts; a new historical high‐spatial resolution, global gridded dataset of degree‐days constructed using various base (threshold) temperatures (Tb) is presented in this study. Derived using sub‐daily temperature from a quality‐controlled reanalysis data product (Global Land Data Assimilation System—GLDAS), the dataset called ‘DegDays_0p25_1970_2018’ includes monthly and annual (i) CDD; (ii) HDD; and (iii) CDD computed using wet‐bulb temperature (CDDwb) at 0.25° × 0.25° gridded resolution, covering 49 years over the period 1970–2018. The Tb used for assembling DegDays_0p25_1970_2018 include 18, 18.3, 22, 23, 24, 25°C for CDD and CDDwb; and 10, 15, 15.5, 16, 17 and 18°C for HDD, respectively. The data of individual indices are made publicly available in the commonly used scientific Network Common Data Form 4 (NetCDF4) and Georeferenced Tagged Image File (GeoTIFF) formats. DegDays_0p25_1970_2018 fills gaps in existing energy indicators’ datasets by being the only high‐resolution historical global gridded time series based on multiple threshold temperatures, thus offering applications in wide‐ranging climate zones and thermal comfort environments. The richness of DegDays_0p25_1970_2018 lies in its flexibility by allowing users to aggregate the degree‐days not only at varying spatial scales (such as administrative levels, national boundaries, economic organizations e.g. OECD; with or without population weights), but also at varying temporal scales (such as seasons), thereby offering climatologists with a potential to examine global teleconnection patterns more discretely.

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Energy consumption based on heating/cooling degree days within the urban environment of Athens, Greece

Cited by 47 publications

References 31 publications

Changes of heating and cooling degree‐days in Europe from 1981 to 2100

Changes of heating and cooling degree‐days in Europe from 1981 to 2100

Projected changes in future climate over the Midwest and Great Lakes region using downscaled CMIP5 ensembles

Historical global gridded degree‐days: A high‐spatial resolution database of CDD and HDD

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