Assessing the Optimal Use of Electric Heating Systems for Integrating Renewable Energy Sources

Boßmann, Tobias; Elsland, Rainer; Klingler, Anna-Lena; Catenazzi, Giacomo; Jakob, Martin

doi:10.1016/j.egypro.2015.12.203

Cited by 14 publications

(3 citation statements)

References 3 publications

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“…In this study, eLOAD optimizes the national DR deployment to the objective of smoothing the net load. Net load smoothing enables an efficient operation of existing electricity generation assets and grid infrastructure, as well as a reduced need for investment in new capacities [6,7].…”

Section: Optimal Vehicle Charging: the Eload Modelmentioning

confidence: 99%

Load Shifting Potentials of Plug-In Electric Vehicles—A Case Study for Germany

Michaelis

Gnann

Klingler

2018

WEVJ

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Plug-in electric vehicles are the currently favoured option to decarbonize the passenger car sector. However, a decarbonisation is only possible with electricity from renewable energies and plug-in electric vehicles might cause peak loads if they started to charge at the same time. Both of these issues could be solved with coordinated load shifting (demand response). Previous studies analysed this research question by focusing on private vehicles with domestic and work charging infrastructure. This study additionally includes the important early adopter group of commercial fleet vehicles and reflects the impact of domestic, commercial, work, and public charging. For this purpose, two models are combined that capture the market diffusion of electric vehicles and their charging behaviour (ALADIN), as well as the load shifting potential of several new energy technologies (eLOAD). In a comparison of three different scenarios, we find that the charging of commercial vehicles does not inflict evening load peaks in the same magnitude as purely domestic charging of private cars does. Also, for private cars, charging at work occurs during the day and may reduce the necessity of load shifting while public charging plays a less important role in total charging demand as well as load shifting potential. Nonetheless, demand response reduces the system load by about 2.2 GW or 2.8% when domestic and work charging are considered when compared to a scenario with only domestic charging where a new peak might be created in the winter hours due to load shifting into the night.

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Section: Optimal Vehicle Charging: the Eload Modelmentioning

confidence: 99%

Load Shifting Potentials of Plug-In Electric Vehicles—A Case Study for Germany

Michaelis

Gnann

Klingler

2018

WEVJ

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“…At the same time, the decarbonization of selected sectors (e.g., heating and transport) will be realized through a shift toward the use of carbon-neutral electricity, driving the diffusion of new electricity consumers. It is known that these changes in the electricity demand structure will not only affect the total amount of electricity that is consumed, but also change the shape of the system load curve 1 (Boßmann and Staffell 2015;Boßmann et al 2015). This change in the hourly electricity demand in combination with increasing levels of fluctuating electricity generation from renewable energy sources (RES), is highly likely to result in increasing level of fluctuation in the residual load (i.e., the difference between the system load and electricity generation from RES).…”

Section: The Future Need For Demand Side Flexibilitymentioning

confidence: 99%

Future Energy Demand Developments and Demand Side Flexibility in a Decarbonized Centralized Energy System

Herbst

Klingler

Heitel

et al. 2021

The Future European Energy System

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European final energy consumption mainly stems from five sectors: transport, households, industry, residential, and agriculture using fossil fuels as dominant energy carriers. In order to achieve the climate targets, emissions in the demand sectors must be drastically reduced. Due to different characteristics and challenges each sector needs its own strategy how to achieve such decarbonization until 2050. In the following chapter, the impacts of an ambitious mitigation scenario on future energy demand and CO2 emissions for transport, industry, residential, and tertiary are analyzed discussing sector specific decarbonization strategies and mitigation options. Implications of such strategies for demand-side flexibility and its future need are analyzed.

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“…The authors find that in the UK, the use of heat pumps without DR can result in a substantial peak load increase (up to 59.8 %) while applying DR can avoid such an effect. Applying an earlier version of the DR model applied here, Boßmann et al examine heating demands for France, Germany and the UK from 2010 to 2050 and compare the DR potential of heat pumps when storage heating is used [14]. In order to combine household and energy system perspectives, such a detailed approach is needed and therefore applied in this paper.…”

Section: Background and State Of Researchmentioning

confidence: 99%