scholarly journals Stimulating E-Mobility Diffusion in Germany (EMOSIM): An Agent-Based Simulation Approach

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 656
Author(s):  
Tobias Buchmann ◽  
Patrick Wolf ◽  
Stefan Fidaschek

The German Climate Action Plan targets an electric vehicle fleet of 6 million by 2030. However, from today’s perspective, we are far away from a path that is steep enough to reach this goal. In order to identify how different policy instruments can stimulate e-mobility diffusion in Germany, we build and calibrate an agent-based simulation model (ABM). The model allows for the consideration of the rich dynamics of social influence as well as the heterogeneity of actors and is flexible enough to be applied with other technologies. We simulate different policy scenarios against a business as usual (BAU) scenario. We show that with the currently implemented set of policies (BAU scenario), it is very unlikely that the envisaged goals in terms of e-mobility diffusion can be reached. Moreover, we suggest additional measures such as a carbon tax on fuel, more charging points, and higher direct subsidies, which are as a combined package likely to have a significantly positive effect on the diffusion of electric cars.

The development, implementation and monitoring of the Sustainable Energy and Climate Action Plan require a significant amount of data and analysis, as well as an effective and comprehensive decision making process. This chapter presents the pilot application of the proposed “MPC+ (Map - Plan - Choose - Check)” framework, through the “Action3” Decision Support System, in a Greek energy-producing community. The pilot application is conducted in three phases, namely the development of the baseline emission inventory (Phase I), the creation and evaluation of alternative Scenarios of Actions (Phase II) and the monitoring of the actions and measures implemented (Phase III). The city's univocal economy orientation of energy production through lignite is considered as a basic, inhibitory factor towards sustainability. In this respect, the city has committed to implement a series of appropriate renewable energy and rational use of energy activities in its territory, laying balanced emphasis on the local energy and heat production, and the promotion and implementation of measures on energy savings. A significant part of the CO2 emissions' reduction will come from the installation of biomass district heating systems in local communities.


2018 ◽  
Vol 7 (3) ◽  
pp. 316-346 ◽  
Author(s):  
Tiara R. Na’puti ◽  
Phaedra C. Pezzullo ◽  
Leah Sprain ◽  
Lydia Reinig

Abstract Energy democracy hopes to foster community engagement and participation in shaping our transition from fossil fuels to a renewable energy-based economy. These considerations result from critiques by environmental justice, climate justice, and just transition advocates. Although many are sympathetic to energy democracy ideals, climate goals often are articulated in math terms. This essay defines the aforementioned key terms and asks: what are the limitations and possibilities of engaging publics when climate action solely is articulated in numbers? A compelling case study is the City of Boulder – recognized as a global leader in climate science and a national leader in innovative environmental planning. This essay shares work from 2016, when the City shared a climate action plan for public feedback, supported several public participation events, and passed climate action legislation goals. We argue a just transition and energy democracy ideals are hindered if we reduce climate goals to math.


Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3920
Author(s):  
Laura Torralba-Díaz ◽  
Christoph Schimeczek ◽  
Matthias Reeg ◽  
Georgios Savvidis ◽  
Marc Deissenroth-Uhrig ◽  
...  

A reliable and cost-effective electricity system transition requires both the identification of optimal target states and the definition of political and regulatory frameworks that enable these target states to be achieved. Fundamental optimization models are frequently used for the determination of cost-optimal system configurations. They represent a normative approach and typically assume markets with perfect competition. However, it is well known that real systems do not behave in such an optimal way, as decision-makers do not have perfect information at their disposal and real market actors do not take decisions in a purely rational way. These deficiencies lead to increased costs or missed targets, often referred to as an “efficiency gap”. For making rational political decisions, it might be valuable to know which factors influence this efficiency gap and to what extent. In this paper, we identify and quantify this gap by soft-linking a fundamental electricity market model and an agent-based simulation model, which allows the consideration of these effects. In order to distinguish between model-inherent differences and non-ideal market behavior, a rigorous harmonization of the models was conducted first. The results of the comparative analysis show that the efficiency gap increases with higher renewable energy shares and that information deficits and policy instruments affect operational decisions of power market participants and resulting overall costs significantly.


2012 ◽  
Vol 46 ◽  
pp. 4695-4702 ◽  
Author(s):  
D. Spirovski ◽  
A. Abazi ◽  
I. Iljazi ◽  
M. Ismaili ◽  
G. Cassulo ◽  
...  

Proceedings ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 46
Author(s):  
Finger ◽  
Stepanovic ◽  
Llano

Anaerobic digestion of urban organic wastes, farming slurries or sewage sludge is a common practice in waste treatment plants. In the city of Reykjavik, the organic waste fraction constituted by 60% of biomass and 40% of food waste will be transformed by the local waste company SORPA providing biofuel for up to 10% of the cars. Such measures belong to the 2018-2030 Climate Action Plan from the Icelandic Government.


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