A5088121442- Smart Grid Energy Management
- Integrated Energy Systems Optimization
- Electric Power System Optimization
- Climate Change Policy and Economics
- Energy, Environment, and Transportation Policies
- Renewable Energy and Sustainability
- Environmental Impact and Sustainability
- Hybrid Renewable Energy Systems
- Energy Load and Power Forecasting
- Electric Vehicles and Infrastructure
- Energy Efficiency and Management
- Physics and Engineering Research Articles
- Global Energy and Sustainability Research
- Economic and Social Issues
- Advanced Battery Technologies Research
- Digital Innovation in Industries
- Environmental Science and Technology
- Energy and Environment Impacts
- Power Quality and Harmonics
- Geothermal Energy Systems and Applications
- Digitalization, Law, and Regulation
- Water-Energy-Food Nexus Studies
- Optimal Power Flow Distribution
- Health and Medical Studies
- Neural Networks and Applications
University of Stuttgart
2018-2022
Zentrum für Rationelle Energieanwendung und Umwelt (Germany)
2019-2022
Potsdam Institute for Climate Impact Research
2019
Amt für Umwelt
2019
Stuttgart Observatory
2016
Energie Baden-Württemberg (Germany)
2013-2016
Interactions between different policy instruments in real markets can lead to a mismatch stakeholders striving for individual benefits and the attainment of an overall system optimum. These distortion effects are particular relevance sector-integrated systems with high prosumer shares. Distributed battery storage systems, particular, could constitute pivotal source flexibility close 100% renewable energy systems. However, depending on their operation mode, these either serve profit...
Carbon pricing is a policy with the potential to reduce CO2 emissions in household sector and support European Union achieving its environmental targets by 2050. However, faces acceptance problems from majority of public. In framework project Role technologies an energy efficient economy–model-based analysis measures transformation pathways sustainable system (REEEM), financed Commission under Horizon 2020 program, we investigate effects such order understand challenges opportunities. To...
A reliable and cost-effective electricity system transition requires both the identification of optimal target states definition political regulatory frameworks that enable these to be achieved. Fundamental optimization models are frequently used for determination cost-optimal configurations. They represent a normative approach typically assume markets with perfect competition. However, it is well known real systems do not behave in such an way, as decision-makers have information at their...
Electrification offers an opportunity to decarbonize the transport sector, but it might also increase need for flexibility options in energy system, as uncoordinated charging process of battery electric vehicles (BEV) can lead a demand with high simultaneity. However, coordinating BEV by means smart control offer substantial potential. This potential is limited restrictions resulting from individual mobility behavior and preferences. It cannot be assumed that storage capacity will available...
Global temperature responses to the stock of greenhouse gases (GHG) in atmosphere, rather than flow. However, Nationally Determined Contributions as submitted under Paris Agreement, suggest that a large share policies still focusses on year-specific GHG targets, which do not full comply with problem. A literature review performed for this paper supports those politically set caps are taken over by energy system models. due higher flexibility choice mitigation options, time-spanning carbon...
It has been shown that the power demand-oriented operation of biogas plants contributes to challenges future energy systems with high shares fluctuating renewable energies. This flexibilisation is usually short-term and can improve profitability. Long-term seasonal could further overcome present low heat utilisation rates due demand district heating in summer constant production across year. To assess benefits for different plants, we apply an existing model approach analysing repowering...
Heat pumps are a vital element for reaching the greenhouse gas (GHG) reduction targets in heating sector, but their system integration requires smart control approaches. In this paper, we first offer comprehensive literature review and definition of term described context. Additionally, present approach, which consists an optimal scheduling module coupled with detailed energy simulation module. The aim integrated two-part approach is to improve performance equipped heat pump, while...
The transformation of our energy system toward zero net CO2 emissions correlates with a stronger use low density renewable sources (RES), such as photovoltaic (PV) energy. As source flexibility, distributed PV systems, in particular, are oftentimes installed combination battery storage systems. These systems dispatchable, i.e., controllable by the operating owners, who can thereby take over an active market role prosumers. particular operation modes based on individual prosumer decisions,...
In a competitive electricity market, generation capacities can exactly cover their full costs. However, the real market deviates from this ideal in some aspects. One is concern of non-existent or insufficient scarcity prices. We present an iterative method linear optimization model to investigate profitability assets absence prices and how system changes when risk incorporated into investors’ expectations. Therefore, we use two-step capacity planning unit commitment. Iteratively, mark-ups at...
Renewable energy shares in electricity markets are increasing and therefore also require an increase flexibility options. Conventional price modelling with optimisation models thermally dominated is not appropriate high of renewable energies storages because structures adequately represented. Previous research has already identified the impact uncertainty feed-in on investment dispatch decisions. However, we aware any work that investigates influence uncertainties by means models....
Electric vehicles represent a promising opportunity to achieve greenhouse gas (GHG) reduction targets in the transport sector. Integrating them comprehensively into energy system requires smart control strategies for charging processes. In this paper we concentrate on processes at end users home. From perspective of an user, optimizing electric might strive different targets: cost minimization power purchase individual household or—as proposed more often recently—minimization GHG emissions....