Julian Rominger (M. Sc.)

Wissenschaftlicher Mitarbeiter

Werdegang

Julian Rominger studierte Wirtschaftsingenieurwesen am Karlsruher Institut für Technologie (KIT) und schloss sein Masterstudium im Jahr 2016 ab. Die Masterarbeit zum Thema „Regelleistungsbereitstellung durch RLT-Anlagen“ fand im Rahmen des Projektes „SmartEnergy@FIZ“ zwischen dem FZI Forschungszentrum Informatik und BMW statt. Des Weiteren absolvierte er im Jahr 2015 einen internationalen Master im Bereich Energie und Umwelt mit Abschlüssen der Universitäten Universidad Politécnica de Madrid (UPM) und dem Royal Institute of Technology (KTH) in Stockholm. Während seines Studiums sammelte er Praxiserfahrung durch Praktika unter anderem in der Energie- und Automobilbranche.

Seit 2016 ist Julian Rominger als wissenschaftlicher Mitarbeiter am FZI im Forschungsbereich Intelligent Systems and Production Engineering (ISPE) tätig, wo er sich mit Flexibilitätsvermarktung von Energieeinheiten beschäftigt.

Publikationen

Zeitungs- oder Zeitschriftenartikel (2)

1. Battery storage systems: An economic model-based analysis of parallel revenue streams and general implications for industryInfoDetails

   Fritz Bräuer, Julian Rominger, Russel McKenna, Wolf Fichtner, 2019

   This paper evaluates the economic potential of energy flexibility in 50 different German small and medium sized enterprises (SMEs) through the installation of a battery storage system (BSS). The central innovation lies in the possibility of pursuing multiple revenue streams simultaneously: peak shaving, provision of primary control reserve (PCR) and energy-arbitrage-trading through intraday and day-ahead markets. The energy system of an industrial manufacturing plant is modelled as a linear program (LP) with a 15-min resolution. The model offers the option to invest in BSSs with different capacities, with the objective of minimizing the overall cost and identifying the optimal size of the BSS. The results show that none of these three revenue streams individually is economically attractive, but when combined, all three together can achieve profitability for some companies, whereby the majority of the cash flow comes from peak shaving and PCR. With a fixed BSS capacity of 500 kWh, the Net Present Value (NPV) varies from a minimum of 350,000 € for just arbitrage up to about 200,000 € for all three use cases in parallel. In the case of a variable BSS capacity, the capacity varies up to 1200 kWh and the Profitability Index (the ratio of investment to NPV) varies from 0.06 to 0.31. Under current German market conditions, arbitrage trading contributes only marginally to the profitability, as the price spreads are too small to justify stronger battery degradation. The paper also identifies various load indicators from the analysis of the demand profile that support the evaluation of a BSS in industry. A stepwise linear regression reveals a moderate dependency of the BSS profitability on two newly developed load indicators. Future work should focus on a more detailed depiction of the battery’s technical behaviour and increasing the sample size to improve the statistical significance of the results.

2. Public charging infrastructure in Japan – A stochastic modelling analysisInfoDetails

   Julian Rominger, Csaba Farkas, 2017

   Electric vehicles (EV) are treated as a breakthrough technology in the automotive market. The novelty of this technology also implicates that the incidence of these vehicles worldwide is still low. An important issue regarding EVs is the existence of proper charging infrastructure as waiting at charging stations due to an inadequate number of chargers can discourage EV owners. However, as the number of EVs and charging stations are low at present, real world experience is not available, so computer simulations are required for the planning of such charging stations. We developed a stochastic model in this paper that includes driving and charging behaviour of EV owners in Japan. The model is based on Monte Carlo methods and was implemented in MATLAB. We conducted simulations with this model to find out whether the existing infrastructure is adequate for the charging of a large number of EVs. The results indicate that Japan is well prepared for an increase in plug-in vehicles (PHEVs) in the near future: currently the country has 6 fast chargers for 100 electric cars and for this ratio - on average -, waiting probability at DC (direct current) fast chargers ranges lower than 5%, which is an acceptable value for EV owners. If, however, the ratio decreases, waiting probability increases exponentially.

Konferenzbeitrag (4)

1. Forecasting of Frequency Containment Reserve Prices Using Econometric and Artificial Intelligence ApproachesInfoDetails

   Emil Kraft, Julian Rominger, Vincent Mohiuddin, Dogan Keles, 2019

   The forecasting of control reserve prices is essential in order to participate reasonably in the auctions. Having identified a lack of related literature, we therefore deploy approaches based on auto-regressive and exogenous factors coming from econometrics and artificial intelligence and set up a forecasting framework. We use SARIMA and SARIMAX models as well as neural networks and forecast based on a rolling one-step forecast with re-estimation of the models. It turns out, that the combination of auto-regressive and exogenous factors yields the best results compared to approaches solely considering auto-regressive or exogenous factors. Further, the artificial intelligence approach outperforms the econometric approach in terms of forecast quality, whereas for the further use of the generated models, the econometric approach has advantages in terms of interpretability.

2. Provision of frequency containment reserve with an aggregate of air handling unitsInfoDetails

   Julian Rominger, Fabian Kern und Hartmut Schmeck, 2018

   Following political strategy changes with the goal to reduce greenhouse gas emissions, the German power system has experienced a great penetration of intermittent renewable energy sources. The volatile electricity generation of renewable energy sources requires greater flexibility not only on the electricity supply but also on the demand side. The ventilation of buildings represents a largely untapped resource for demand response measures such as control reserve. Due to the quick reaction speed and inertia of the air balance of supplied buildings, electric motors of air handling units qualify to provide frequency containment reserve. In this paper we present a system architecture according to standards by the German transmission system operators to provide frequency containment reserve with an aggregate of air handling units. At an industrial site containing workshop and office buildings a prototype of the system has been installed and prequalified by the transmission system operators to provide almost 300 kW of frequency containment reserve.

3. Utilization of Local Flexibility for Charge Management of a Battery Energy Storage System Providing Frequency Containment ReserveInfoDetails

   Julian Rominger, Patrick Ludwig, Fabian Kern, Manuel Loesch, Hartmut Schmeck, 2018

   This paper estimates the potential to reduce market-based charging and discharging of a battery energy storage system (BESS) that provides frequency containment reserve (FCR) through (a) the utilization of degrees of freedom (DOFs) during reserve provision, and (b) the utilization of the flexibility of local power units (LPUs) at an investigated industrial site. In context of a of a real BESS providing 7 MW of FCR, the potential is quantified based on a simulation using real grid frequency data and real power profiles of LPUs at an industrial site for the year 2016. At the explored site, LPUs identified to provide charge management of the BESS include wind turbines (WT), a combined heat and power plant (CHPP), and power consumption by the fans of a heating, ventilation and air conditioning (HVAC) system. Results indicate that the energy charged and discharged through market-based transactions can be reduced by 56% and 66% respectively; however, the majority of these reductions are caused by the intelligent use of DOFs. Savings by using the flexibility of the mentioned LPUs can be attributed largely to the flexible operation of the HVAC system due to its highest availability and potential to substitute market-based charge events of the BESS.

4. Optimizing Bidding Strategies for the German Secondary Control Reserve Market: The Impact of Energy PricesInfoDetails

   Manuel Loesch, Sandeep Nainappagari, Julian Rominger, Hartmut Schmeck, 2018

   In the synchronized European grid, Secondary Control Reserve (SCR) is a key component to restore a stable grid frequency of 50 Hz. The German SCR market is based on a capacity price and an energy price. After being accepted into the reserve pool based on the capacity price, the energy price determines the position in the call merit order, and hence the probability of an activation. In this paper we present results of an ex-post simulation of the SCR market, based on publicly available data. Using our simulation, we quantified the share of SCR bid activations given different energy prices, and derived the profit potential for SCR providers. In addition, we investigated the development over the last years, recognizing that in particular positive SCR bids with a given energy price tend to be activated less often. By providing transparency regarding the relation between reserve energy prices and the share of activations, the insights presented in this paper can be used by balancing service providers in order to improve their SCR bids, or to validate the quality of bidding strategies of SCR aggregators.

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Kontakt

Telefon: +49 721 9654-556
E-Mail: rominger@dont-want-spam.fzi.de

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