Peter Kepplinger

Peter Kepplinger
Vorarlberg University of Applied Sciences · Energy Research Centre

Prof. (FH) Dr.

About

48
Publications
6,402
Reads
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438
Citations
Additional affiliations
January 2017 - February 2024
Vorarlberg University of Applied Sciences
Position
  • Head of Research Group Energy Systems and Components
January 2013 - December 2016
Vorarlberg University of Applied Sciences
Position
  • Research Assistant
Education
February 2013 - April 2019
University of Innsbruck
Field of study
  • Engineering Sciences
October 2000 - May 2012
University of Vienna
Field of study
  • Mathematics

Publications

Publications (48)
Preprint
Full-text available
Accurate load forecasting is crucial for predictive control in many energy domain applications, with significant economic and ecological implications. To address these implications, this study provides an extensive benchmark of state-of-the-art deep learning models for short-term load forecasting in energy communities. Namely, LSTM, xLSTM, and Tran...
Article
Full-text available
EU regulations get stricter from 2028 on by imposing net-zero energy building (NZEB) standards on new residential buildings including on-site renewable energy integration. Heat pumps (HP) using thermal building mass, and Model Predictive Control (MPC) provide a viable solution to this problem. However, the MPC potential in NZEBs considering the imp...
Article
Full-text available
The food industry faces significant challenges in managing operational costs due to its high energy intensity and rising energy prices. Industrial food-processing facilities, with substantial thermal capacities and large demands for cooling and heating, offer promising opportunities for demand response (DR) strategies. This study explores the appli...
Preprint
EU regulations get stricter from 2028 on by imposing net-zero energy building (NZEB) 1 standards on new residential buildings including on-site renewable energy integration. Heat pumps 2 (HP) using thermal building mass, and Model Predictive Control (MPC) provide a viable solution 3 to this problem. However, the MPC potential in NZEBs considering t...
Preprint
The food industry faces significant challenges in managing operational costs due to its high energy intensity and rising energy prices. Industrial food processing facilities, with substantial thermal capacities and large demands for cooling and heating, offer promising opportunities for demand response (DR) strategies. This study explores the appli...
Preprint
Full-text available
According to a conservative estimate, a 1% reduction in forecast error for a 10 GW energy utility can save up to $ 1.6 million annually. In our context, achieving precise forecasts of future power consumption is crucial for operating flexible energy assets using model predictive control approaches. Specifically, this work focuses on the load profil...
Article
Full-text available
Demand side management holds potential for improving energy efficiency and cutting energy consumption within the food industry. This research introduces a demand response approach tailored for an industrial food processing facility, utilizing a chilled water buffer as active thermal energy storage and the plant building as passive thermal energy st...
Article
Full-text available
Domestic hot water heaters are considered to be easily integrated as flexible loads for demand response. While literature grows on reproducible simulation and lab tests, real-world implementation in field tests considering state estimation and demand prediction-based model predictive control approaches is rare. This work reports the findings of a f...
Article
PV hosting capacity quantification is currently of importance for distribution system operators to manage upcoming PV installation requests, especially within low-voltage grids. The violation-mitigation-based (VMB) method presented a novel downward approach to quantify the PV hosting capacity in low-voltage grids, having the advantage of also quant...
Article
Full-text available
Activation of heat pump flexibilities is a viable solution to support balancing the grid via Demand Side Management measures and fulfill the need for flexibility options. Aggregators as interface between prosumers, distribution system operators and balance responsible parties face the challenge due to data privacy and technical restrictions to tran...
Article
Full-text available
Hosting capacity knowledge is of great importance for distribution utilities to assess the amount of PV capacity possible to accommodate without troubling the operation of the grid. In this paper, a novel method to quantify the hosting capacity of low voltage grids is presented. The method starts considering a state of fully exploited building roof...
Article
Full-text available
Increasing electric vehicle penetration leads to undesirable peaks in power if no proper coordination in charging is implemented. We tested the feasibility of electric vehicles acting as flexible demands responding to power signals to minimize the system peaks. The proposed hierarchical autonomous demand side management algorithm is formulated as a...
Conference Paper
PV hosting capacity of a distribution grid can differ depending on the method used for its quantification. Even different settings adopted in a particular method can lead to different hosting capacity values. Those differences have not been well contrasted in literature, limiting the understanding of the attributes and drawbacks of available quanti...
Conference Paper
Full-text available
Flexibility estimation is the first step necessary to incorporate building energy systems into demand side management programs. We extend a known method for temporal flexibility estimation from literature to a real-world residential heat pump system, solely based on historical cloud data. The method proposed relies on robust simplifications and est...
Conference Paper
Full-text available
The impact of global warming and climate change has forced countries to introduce strict policies and decarbonization goals toward sustainable development. To achieve the decarbonization of the economy, a substantial increase of renewable energy sources is required to meed energy demand and to transition away from fossil fuels. However, renewables...
Conference Paper
Full-text available
Industrial demand side management has shown significant potential to increase the efficiency of industrial energy systems via flexibility management by model-driven optimization methods. We propose a grey-box model of an industrial food processing plant. The model relies on physical and process knowledge and mass and energy balances. The model para...
Conference Paper
PV hosting capacity provides utilities the knowledge of the maximum amount of solar installations possible to accommodate in low voltage grids such that no operational problems arise. As the quantification of the hosting capacity requires data collection, grid modelling, and often time-consuming simulations, simplified estimations for large-scale a...
Article
Full-text available
The impact of global warming and climate change has forced countries to introduce strict policies and decarbonization goals toward sustainable development. To achieve the decarbonization of the economy, a substantial increase of renewable energy sources is required to meed energy demand and to transition away from fossil fuels. However, renewables...
Article
Full-text available
If left uncontrolled, electric vehicle charging poses severe challenges to distribution grid operation. Resulting issues are expected to be mitigated by charging control. In particular, voltage-based charging control, by relying only on the local measurements of voltage at the point of connection, provides an autonomous communication-free solution....
Article
Full-text available
In the regime of incentive-based autonomous demand response, time dependent prices are typically used to serve as signals from a system operator to consumers. However, this approach has been shown to be problematic from various perspectives. We clarify these shortcomings in a geometric way and thereby motivate the use of power signals instead of pr...
Article
Full-text available
Zusammenfassung Verbraucherseitige Laststeuerung (Demand Side Management – DSM) wird als ein möglicher Ansatz betrachtet, um die Auswirkungen des Ausbaus von fluktuierenden Erneuerbaren im Stromnetz auszugleichen. Sollen viele verteilte Energiesysteme damit angesprochen werden, stellen zentralistische Ansätze dabei hohe Anforderungen an die Kommuni...
Thesis
Full-text available
Load shifting of resistive domestic hot water heaters has been done in Europe since the 1930s, primarily to ease the power supply during peak times. However, the pursued and already commenced energy transition in Europe changes the requirements for the underlying logic. In this more general context, demand side management is considered a viable app...
Article
As electric cars become more widespread, the disposal and recycling of used batteries will become an important challenge. Typically, vehicle batteries are replaced if their capacity drops to 70–80% of initial capacity. However, they may still be useful for stationary applications. In this paper, results from a field test of a molten salt high-temp...
Article
Utilizing domestic hot water heaters (DHWH) for demand side management (DSM) requires physical models of DHWH dynamic behavior. An ideal dynamic DHWH model is simple as well as accurate. However, system identification and state estimation, which are necessary for real-life implementation, are usually not considered. This work reviews standard therm...
Presentation
Full-text available
Due to the promoted integration of renewable sources, a further growth of transient and decentralized generation is expected. In addition, peak loads and an increasing demand due to electrification are presumably. Thus, the existing supply and distribution infrastructure is running the risk of reaching its physical limits. To counteract and ensure...
Conference Paper
Full-text available
Due to the promoted integration of renewable sources, a further growth of transient and decentralized generation is expected. In addition, peak loads and an increasing demand due to electrification are presumably. Thus, the existing supply and distribution infrastructure is running the risk of reaching its physical limits. To counteract and ensure...
Article
Full-text available
Due to the promoted integration of renewable sources, a further growth of strongly transient, distributed generation is expected. Thus, the existing electrical grid may reach its physical limits. To counteract this, and to fully exploit the viable potential of renewables, grid-balancing measures are crucial. In this work, battery storage systems ar...
Presentation
Full-text available
Due to the promoted integration of renewable sources, a further growth of strongly transient and decentralized generation is expected. In addition, peak loads and an increase due to electrification are likely on the demand side. Thus, the existing supply and distribution infrastructure is running the risk of reaching its physical limits. To counter...
Article
The share of electricity generated from intermittent renewable sources, e.g., wind and solar grows rapidly. This affects grid stability and power quality. If the share of renewable power generation is to be increased further, additional flexibilities must be introduced. Aggregating small, distributed loads and energy storage facilities is a good me...
Article
While many approaches for using domestic hot water heaters (DHWH) for demand side management (DSM) have been proposed, only few of these approaches, have been implemented and tested in the field. Results from an implementation of autonomous optimization of a DHWH for DSM based on one-way communicated pseudo cost functions (PCF) are presented. An of...
Presentation
Full-text available
Intermittent renewable energy sources (e.g. wind, solar energy systems) have been providing an exponentially growing share of electricity generation. Due to their highly transient and stochastic nature, they pose substantial challenges for power grid operation. Power dispatched from these sources are uncontrolled and do not necessarily coincide wit...
Conference Paper
Intermittent renewable energy sources (e.g. wind, solar energy systems) have been providing an exponentially growing share of electricity generation. Due to their highly transient and stochastic nature, they pose substantial challenges for power grid operation. Power dispatched from these sources are uncontrolled and do not necessarily coincide wit...
Article
Electric domestic hot water heaters are well suited for demand side management, as they possess high nominal power ratings combined with large thermal buffer capacities. In this paper, their potential for demand side management via pseudo cost functions is studied. A fully mixed thermal model of the water heater is used to formulate the optimizatio...
Conference Paper
Full-text available
Renewable power generation using wind and solar energy is central to most strategies to reduce carbon emissions and mitigate climate change. As the share of these power sources grows, their inherently transient behavior effects substantial changes in traditional electricity pricing patterns. Therefore, stock market electricity prices have been prop...
Article
Full-text available
This article presents a novel framework for creating sense-and-respond rules, which allow detecting noteworthy event situations from streams of business incidents and responding to them in near real-time. Focusing on expressiveness as well as manageability, the proposed framework uses a model-driven approach for the rule definition, where the diffe...
Conference Paper
Event-pattern rules are the foundation of Complex Event Processing (CEP) applications. Yet, despite the vast potential CEP offers for agile business applications, its practical relevance rises and falls with the manageability within the organizational framework conditions of an enterprise. In this paper we present a novel rule-management framework...
Conference Paper
Expressive and powerful event-pattern rules are key to successful applications of Complex Event Processing (CEP). However, the definition of complex pattern-detection logic may place heavy demands on business users. In this work we present a model for hierarchical event-patterns, allowing users to compose complex patterns from encapsulated, fully-a...

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