Impact of temperature on electricity demand: Evidence from Delhi and Indian states

Harish, Santosh M.; Singh, Nishmeet; Tongia, Rahul

doi:10.1016/j.enpol.2020.111445

Cited by 27 publications

(10 citation statements)

References 22 publications

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“…Alberini et al (2019), Du et al (2020), and others who have studied the heterogeneity of the electricity consumption temperature response across income groups have demonstrated that the income level significantly affects the climate sensitivity of the population. In addition, Harish et al (2020) observed the shape of the residential electricity consumption temperature curves in five regions, including northern and eastern India, and explored the geographical differences in the residential electricity consumption temperature response.…”

Section: Heterogeneity Analysismentioning

confidence: 99%

Temperature impacts on residential electricity consumption in Anhui, China: Does the electricity price matter?

Song

et al. 2022

Preprint

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Global warming leads to the problem of climate adaptability, which makes residents' electricity consumption behavior more sensitive to temperature. Understanding the shape of the temperature–electricity consumption response curve is helpful for planning power investment and production, and to facilitate a green and low-carbon transformation of the power system. Using data regarding electricity consumption in nearly 20,000 households from seven cities in Anhui Province, China, from 2016–2017, this study examined the response of residential electricity consumption to temperature. The results show that although residential electricity consumption was proportional to the average temperature, the variation range of the residential electricity consumption was not the same in each percentile range of temperature. In particular, under the possible influence of the electricity price and weather factor, the residential electricity consumption temperature response curve has a "V"-shape when the average temperature is over 30°C. The heterogeneity analysis shows that the temperature and electricity response curve have strong fluctuations under the change of the time-of-use (TOU) pricing policy. This implies that the price policy helps to regulate the power consumption temperature response curve and thus has an impact on the power load.

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Section: Heterogeneity Analysismentioning

confidence: 99%

Temperature impacts on residential electricity consumption in Anhui, China: Does the electricity price matter?

Song

et al. 2022

Preprint

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“…4), weaker turbulence leading to lower pollutant dispersion rates and absence of photodecomposition. Moreover, power cuts in India are frequent (Guttikunda et al,2014), especially when high demand occurs on air conditioners in summer (Harish et al, 2020), which require in situ electricity generation using oil, diesel and petrol (Guttikunda et al,2014). This may be considered as an additional source of air pollution in a megacity like Delhi.…”

Section: Delhimentioning

confidence: 99%

A comparison of PM<sub>2.5</sub>-bound polycyclic aromatic hydrocarbons in summer Beijing (China) and Delhi (India)

Elzein¹,

Stewart²,

Swift³

et al. 2020

Preprint

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Abstract. Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous pollutants in air, soil and water and known to have harmful effects on human health and the environment. The diurnal and nocturnal variation of 17-PAHs in ambient particle-bound PAHs were measured in urban Beijing (China) and Delhi (India) during the summer season using GC-Q-TOF-MS. The mean concentration of particles less than 2.5 microns (PM2.5) observed in Delhi was 3.6 times higher than in Beijing during the measurement period in both the day-time and night-time. In Beijing, the mean concentration of the sum of the 17 PAHs (∑17-PAHs) was 8.2 ± 5.1 ng m−3 in daytime, with the highest contribution from Indeno[1,2,3-cd]pyrene (12 %), while at night-time the total PAHs was 7.2 ± 2.0 ng m−3, with the largest contribution from Benzo[b]fluoranthene (14 %). In Delhi, the mean ∑17-PAHs was 13.6 ± 5.9 ng m−3 in daytime, and 22.7 ± 9.4 ng m−3 at night-time, with the largest contribution from Indeno[1,2,3-cd]pyrene in both the day (17 %) and night (20 %). Elevated mean concentrations of total PAHs in Delhi observed at night were attributed to emissions from vehicles and biomass burning and to meteorological conditions leading to their accumulation from a stable and low atmospheric boundary layer. Local emission sources were typically identified as the major contributors to total measured PAHs, however, in Delhi 25 % of the emissions were attributed to long-range atmospheric transport. Major emission sources were characterized based on the contribution from each class of PAHs, with the 4, 5, and 6 ring PAHs accounting ~ 95 % of the total PM2.5-bound PAHs mass in both locations. The high contribution of 5 ring PAHs to total PAH concentration in summer Beijing and Delhi suggests a high contribution from petroleum combustion. In Delhi, a high contribution from 6 ring PAHs was observed at night, suggesting a potential emission source from the combustion of fuel and oil in power generators, widely used in Delhi. The lifetime excess lung cancer risk (LECR) was calculated for Beijing and Delhi, with the highest estimated risk attributed to Delhi (LECR = 155 per million people), 2.2 times higher than Beijing risk assessment value (LECR = 70 per million people). Finally, we have assessed the emission control policies in each city and identified those major sectors that could be subject to mitigation measures.

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“…oxygenated and nitrated PAHs) are mostly associated with the particle phase (Albinet et al, 2008;Liu et al, 2017, Zhang et al, 2018. The spatial variation of atmospheric pollutants within urban Beijing is not significant (He et al, 2001); however, the variation of atmospheric pollutants might increase when moving to suburban areas because it consists of a large number of factories, airports and power plant stations. Feng et al (2005) compared the total PAH concentration in PM 2.5 at urban and suburban sites in Beijing at the same period of the year (July and November 2002), and they reported higher values at the suburban site than at the urban site by a factor ∼ 1.5 in summer and ∼ 2 in winter.…”

Section: Beijingmentioning

confidence: 99%

“…4), weaker turbulence leading to lower pollutant dispersion rates, and absence of photodecomposition. Moreover, power cuts in India are frequent (Guttikunda et al, 2014), especially when high demand occurs due to air conditioners in summer (Harish et al, 2020), which require in situ electricity generation using oil, diesel and petrol (Guttikunda et al, 2014). This may be considered as an additional source of air pollution in a megacity like Delhi.…”

Section: Delhimentioning

confidence: 99%

A comparison of PM<sub>2.5</sub>-bound polycyclic aromatic hydrocarbons in summer Beijing (China) and Delhi (India)

et al. 2020

View full text Add to dashboard Cite

Abstract. Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous pollutants in air, soil, and water and are known to have harmful effects on human health and the environment. The diurnal and nocturnal variations of 17 PAHs in ambient particle-bound PAHs were measured in urban Beijing (China) and Delhi (India) during the summer season using gas-chromatography–quadrupole time-of-flight mass spectrometry (GC-Q-TOF-MS). The mean concentration of particles less than 2.5 µm (PM2.5) observed in Delhi was 3.6 times higher than in Beijing during the measurement period in both the daytime and night-time. In Beijing, the mean concentration of the sum of the 17 PAHs (∑17 PAHs) was 8.2 ± 5.1 ng m−3 in daytime, with the highest contribution from indeno[1,2,3-cd]pyrene (12 %), while at night-time the total PAHs was 7.2 ± 2.0 ng m−3, with the largest contribution from benzo[b]fluoranthene (14 %). In Delhi, the mean ∑17 PAHs was 13.6 ± 5.9 ng m−3 in daytime and 22.7 ± 9.4 ng m−3 at night-time, with the largest contribution from indeno[1,2,3-cd]pyrene in both the day (17 %) and night (20 %). Elevated mean concentrations of total PAHs in Delhi observed at night were attributed to emissions from vehicles and biomass burning and to meteorological conditions leading to their accumulation from a stable and low atmospheric boundary layer. Local emission sources were typically identified as the major contributors to total measured PAHs in both cities. Major emission sources were characterized based on the contribution from each class of PAHs, with the four-, five- and six-ring PAHs accounting ∼ 95 % of the total PM2.5-bound PAHs mass in both locations. The high contribution of five-ring PAHs to total PAH concentration in summer Beijing and Delhi suggests a high contribution from petroleum combustion. In Delhi, a high contribution from six-ring PAHs was observed at night, suggesting a potential emission source from the combustion of fuel and oil in power generators, widely used in Delhi. The lifetime excess lung cancer risk (LECR) was calculated for Beijing and Delhi, with the highest estimated risk attributed to Delhi (LECR = 155 per million people), which is 2.2 times higher than the Beijing risk assessment value (LECR = 70 per million people). Finally, we have assessed the emission control policies in each city and identified those major sectors that could be subject to mitigation measures.

show abstract

Impact of temperature on electricity demand: Evidence from Delhi and Indian states

Cited by 27 publications

References 22 publications

Temperature impacts on residential electricity consumption in Anhui, China: Does the electricity price matter?

Temperature impacts on residential electricity consumption in Anhui, China: Does the electricity price matter?

A comparison of PM<sub>2.5</sub>-bound polycyclic aromatic hydrocarbons in summer Beijing (China) and Delhi (India)

A comparison of PM<sub>2.5</sub>-bound polycyclic aromatic hydrocarbons in summer Beijing (China) and Delhi (India)

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Impact of temperature on electricity demand: Evidence from Delhi and Indian states

Cited by 27 publications

References 22 publications

Temperature impacts on residential electricity consumption in Anhui, China: Does the electricity price matter?

Temperature impacts on residential electricity consumption in Anhui, China: Does the electricity price matter?

A comparison of PM&lt;sub&gt;2.5&lt;/sub&gt;-bound polycyclic aromatic hydrocarbons in summer Beijing (China) and Delhi (India)

A comparison of PM&lt;sub&gt;2.5&lt;/sub&gt;-bound polycyclic aromatic hydrocarbons in summer Beijing (China) and Delhi (India)

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Product

Resources

About

A comparison of PM<sub>2.5</sub>-bound polycyclic aromatic hydrocarbons in summer Beijing (China) and Delhi (India)

A comparison of PM<sub>2.5</sub>-bound polycyclic aromatic hydrocarbons in summer Beijing (China) and Delhi (India)