Energy Use Patterns in German Industry: Evidence from Plant-Level Data

Wagner, Ulrich J.; Petrick, Sebastian; Rehdanz, Katrin

doi:10.2139/ssrn.1689044

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…It is notable that all HIG homes had at least one AC installed. The importance of income on the temperature-energy demand relationship was also studied by [22]. As expected, households with higher income have more choices to regulate indoor temperature and maintain desired comfort than LIG dwellings.…”

Section: Distribution Of Monitored Variablesmentioning

confidence: 94%

“…However, by simply observing heating degree days (HDD) and studies demonstrating presence of space and water heating in some northern states [20,21], it is reasonable to assume that energy use will vary between the climate regions in winter. This is especially true as wealth increases, which has been revealed as a strong driver for increased comfort-consuming [21,22].…”

Section: Evidence To Datementioning

confidence: 99%

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Wintertime patterns of residential electricity use and indoor temperature in the composite climate of India

Gupta

Gregg

Antony

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Wintertime electricity use in India has received little attention due to the growth of residential air conditioning (AC) in the summer and monsoon seasons. This paper combines monitoring (time-series) and survey (contextual) data to examine the wintertime pattern of daily electricity current, indoor temperature, and relative humidity profiles across a sample of 64 dwellings in the city of Hyderabad representing the composite climate of India. Monitoring data were recorded for 31 days (December 2021 with a mean daily outdoor temperature of 25°C) using a CT clamp meter and Bluetooth enabled sensors. Contextual data covered dwelling and household characteristics, and use of appliances. The winter peak period of electricity use was found to occur from 6:30-10:30 in the morning, likely to be for hot water (geysers) and cooking. This is different to the late evening/night-time peak observed in the summer due to use of air conditioning (AC). Only one dwelling showed potential signs of using space heating. Higher electricity use aligned with lower peak temperatures in some homes particularly in the high-income group, indicating the potential use of AC during winter. The wintertime morning electricity peak in India could be managed using thermal stores in geysers through pre-heating which could also offer demand response opportunities.

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Section: Distribution Of Monitored Variablesmentioning

confidence: 94%

Section: Evidence To Datementioning

confidence: 99%

Wintertime patterns of residential electricity use and indoor temperature in the composite climate of India

Gupta

Gregg

Antony

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Overall, the winter of 1963 serves as a canonical illustration of an extreme cold Central European winter. If a European winter of similar intensity as in 1963 were to re-occur in today's world, it would almost certainly have similarly severe societal implications due to the close relationship with demand for heating (Petrick et al, 2010;Zeniewski et al, 2023), associated price spikes for electricity and natural gas, possible blackouts due to electric grid overload or imbalances and even mortality (Chirakijja et al, 2019). In this study, we use winter 1963 as a storyline of a 'worst-case' cold winter over Central Europe, and we assess two research questions, by combining multiple attribution methods: First, if a winter atmospheric circulation similar 50 to 1963 were to re-occur in present-day climate, what would be the intensity in terms of cold temperatures?…”

Section: Dynamical Origin Of Winter 1963mentioning

confidence: 99%

An extreme cold Central European winter such as 1963 is unlikely but still possible despite climate change

Sippel,

Barnes,

Cadiou

et al. 2023

Preprint

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Abstract. Central European winters have warmed markedly since the mid-20th century. Yet cold winters are still associated with severe societal impacts on energy systems, infrastructure and public health. It is therefore crucial to anticipate storylines of worst-case cold winter conditions, and to understand whether an extremely cold winter, such as the coldest winter in the historical record of Germany in 1963 (−6.3 °C or −3.4σ seasonal DJF temperature anomaly relative to 1981–2010), is still possible in a warming climate. Here, we first show based on multiple attribution methods that a winter of similar circulation conditions to 1963 would still lead to an extreme seasonal cold anomaly of about −4.9 to −4.7 °C (best estimates across methods) under present-day climate. This would rank as second-coldest winter in the last 75 years. Second, we conceive storylines of worst-case cold winter conditions based on two independent rare event sampling methods (climate model boosting and empirical importance sampling): winter as cold as 1963 is still physically possible in Central Europe today, albeit very unlikely. While cold winter hazards become less frequent and less intense in a warming climate overall, it remains crucial to anticipate the possibility of an extreme cold winter to avoid potential maladaptation and increased vulnerability.

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The Impact Of Carbon Trading On Industry: Evidence From German Manufacturing Firms

Petrick

Wagner

2014

SSRN Journal

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We estimate the causal impact of the EU Emissions Trading Scheme on manufacturing firms using comprehensive panel data from the German production census. Semiparametric matching estimators yield robust evidence that the policy caused treated firms to abate one-fifth of their CO 2 emissions between 2007 and 2010 relative to non-treated firms. This reduction was achieved predominantly by improving energy efficiency and by curbing the consumption of natural gas and petroleum products, but not electricity use. We find no evidence that emissions trading lowered employment, gross output or exports of treated firms. * We owe a debt of gratitude to Katrin Rehdanz for countless discussions and her generous support at all stages of this project. We thank the research data centre (FDZ) for granting us access to the AFiD data. We thank FDZ staff members Diane Zabel, Michael Rößner and, especially, Alexander Vogel of the Statistical Offices of the Länder in Bremen, Halle and Kiel, respectively, for expert advice regarding various AFiD modules and for technical help with the data matching and estimation. Staff at the Federal Statistical Office graciously provided information on various statistical products. We thank, without implicating,

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Energy Use Patterns in German Industry: Evidence from Plant-Level Data

Cited by 3 publications

References 27 publications

Wintertime patterns of residential electricity use and indoor temperature in the composite climate of India

Wintertime patterns of residential electricity use and indoor temperature in the composite climate of India

An extreme cold Central European winter such as 1963 is unlikely but still possible despite climate change

The Impact Of Carbon Trading On Industry: Evidence From German Manufacturing Firms

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