@article{daCostaFernandesBollin,
  author    = {da Costa Fernandes, Jesus Salazar and Bollin, Elmar},
  title     = {PHOTOPUR- Photokatalytische Reinigung f{\"u}r pestizidbelastete Wasser im Weinbau},
  series = {Forschung im Fokus},
  number    = {23},
  publisher = {Hochschule Offenburg},
  organization    = {Institut f{\"u}r angewandte Forschung},
  issn      = {1866-9352},
  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:ofb1-opus4-46632},
  pages     = {124 -- 128},
  abstract  = {PHOTOPUR hat die Entwicklung eines photokatalytischen Prozesses zur Beseitigung von Pflanzenschutzmitteln (PSM) aus dem Reinigungswasser von Spritzger{\"a}ten zum Ziel. Am INES wurde eine Energieversorgung f{\"u}r die photokatalytische Reinigung in zwei Bachelorarbeiten entwickelt und als Demosystem aufgebaut. Das Gesamtsystem ist nun als mobile Einheit verf{\"u}gbar und wurde zuletzt um das Reaktormodul f{\"u}r den photokatalytischen Prozeß erweitert und den Partnern f{\"u}r intensive Tests {\"u}bergeben.},
  language  = {de}
}
@incollection{DongolBollinFeldmann,
  author    = {Dongol, Deepranjan and Bollin, Elmar and Feldmann, Thomas},
  title     = {Battery Management Based on Predictive Control and Demand-Side Management: Smart Integration of Renewable Energy Sources},
  series = {Advances in Environmental Engineering and Green Technologies},
  publisher = {IGI Global},
  address   = {Hershey},
  isbn      = {978-1-5225-0072-8},
  doi       = {10.4018/978-1-5225-0072-8},
  pages     = {149 -- 180},
  language  = {en}
}
@inproceedings{daCostaFernandesGarciaMunozSariguletal.,
  author    = {da Costa Fernandes, Jesus Salazar and Garc{\´i}a-Munoz, Patricia and Sarigul, Gamze and Robert, Didier and Keller, Nicolas and Schmidt, Michael and Bollin, Elmar},
  title     = {PHOTOPUR - PV Powered Process Automation of an AOP Based Water Decontamination},
  series = {37th European Photovoltaic Solar Energy Conference and Exhibition, 7.-11. September 2020, Lissabon, Portugal : Proceedings},
  publisher = {WIP Renewables},
  address   = {M{\"u}nchen},
  organization    = {WIP Renewables Munich},
  isbn      = {3-936338-73-6},
  doi       = {10.4229/EUPVSEC20202020-6EO.1.4},
  pages     = {1791 -- 1795},
  abstract  = {The PHOTOPUR project aims to develop a photocatalytic process as a type of AOPs (Advanced Oxidation Processes) for the elimination of plant protection products (PPP) of the cleaning water used to wash sprayers. At INES a PV based energy supply for the photocatalytic cleaning system was developed within the framework of two bachelor theses and assembled as a demonstration unit. Then the system was step by step extended with further process automation features and pushed to a remote operating device. The final system is now available as a mobile unit mounted on a lab table. The latest step was the photocatalytic reactor module which completed the first PHOTOPUR prototype. The system is actually undergoing an intensive testing phase with performance checks at the consortium partners. First results give an overview about the successful operation.},
  language  = {en}
}
@book{ZahoranskyAlleleinBollinetal.,
  author    = {Zahoransky, Richard A. and Allelein, Hans-Josef and Bollin, Elmar and Schelling, Udo and Schwarz, Harald and W{\"o}rsd{\"o}rfer, Dominik},
  title     = {Energietechnik},
  editor    = {Zahoransky, Richard A.},
  edition   = {8., {\"u}berarbeitete und erg{\"a}nzte Auflage},
  publisher = {Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-21846-1 (Print)},
  doi       = {10.1007/978-3-658-21847-8},
  pages     = {XXXIII, 702},
  abstract  = {Kurz und pr{\"a}gant werden die Energieumwandlungsprozesse dargestellt. Die Schwerpunkte reichen von der kompletten Beschreibung der nachhaltigen, erneuerbaren Energietechniken, {\"u}ber Gas- und Dampfturbinen-Kraftwerke sowie Kraft-W{\"a}rme-K{\"a}lte-Kopplungsanlagen bis hin zur Energieverteilung und zum Kyoto-Protokoll. Zu allen Kapiteln gibt es Aufgaben mit vollst{\"a}ndigen L{\"o}sungen im Anhang. In der aktuellen Auflage sind die Grundlagen der Energiewandlung deutlich um verf{\"u}gbare Energiequellen, Energietr{\"a}ger und den globalen Energiebedarf erweitert. Das Kapitel 19 wurde von seinem neuen Autor grundlegend neu gefasst und heißt nun „Marktliberalisierung und Energiewende". Alle Kapitel wurden aktualisiert und die Inhalte didaktisch noch verst{\"a}ndlicher dargestellt.},
  language  = {de}
}
@book{ZahoranskyAlleleinBollinetal.,
  author    = {Zahoransky, Richard A. and Allelein, Hans-Josef and Bollin, Elmar and Rimmler, Michael and Schelling, Udo and Schwarz, Harald},
  title     = {Energietechnik},
  editor    = {Zahoransky, Richard A.},
  edition   = {7., {\"u}berarbeitete und erweiterte Auflage},
  publisher = {Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-07453-1 (Print)},
  doi       = {10.1007\%2F978-3-658-07454-8},
  pages     = {XXXI, 664},
  abstract  = {Kurz und pr{\"a}gant werden die Energieumwandlungsprozesse dargestellt. Die Schwerpunkte reichen von der kompletten Beschreibung der nachhaltigen, erneuerbaren Energietechniken, {\"u}ber Gas- und Dampfturbinen-Kraftwerke sowie Kraft-W{\"a}rme-K{\"a}lte-Kopplungsanlagen bis hin zur Energieverteilung und zum Kyoto-Protokoll. Zu allen Kapiteln gibt es Aufgaben mit vollst{\"a}ndigen L{\"o}sungen im Anhang. In der aktuellen Auflage wurden in den Kapiteln 3 und 15 die Zahlenwerte aktualisiert. Kapitel 9 wurde entsprechend der neuen Anbieterstruktur {\"u}berarbeitet und Kapitel 10 um die Adsorptionstechniken erg{\"a}nzt. Die Kapitel 17-20 wurden vollst{\"a}ndig {\"u}berarbeitet und stellen den aktuellen Stand der globalen politischen Aspekte dar.},
  language  = {de}
}
@inproceedings{DongolFeldmannBollinetal.,
  author    = {Dongol, Deepranjan and Feldmann, Thomas and Bollin, Elmar and Schmidt, Michael},
  title     = {A MPC Based Peak Shaving Application for a Household with Photovoltaic Battery System},
  series = {Smart cities, green technologies and intelligent transport systems: 7th International Conference, SMARTGREENS, and 4th International Conference, VEHITS 2018, Funchal-Madeira, Portugal, March 16-18, 2018 : revised selected papers},
  publisher = {Springer},
  address   = {Cham, Switzerland},
  isbn      = {978-3-030-26632-5},
  doi       = {10.1007/978-3-030-26633-2_3},
  pages     = {44 -- 66},
  abstract  = {This paper presents the use of model predictive control (MPC) based approach for peak shaving application of a battery in a Photovoltaic (PV) battery system connected to a rural low voltage gird. The goals of the MPC are to shave the peaks in the PV feed-in and the grid power consumption and at the same time maximize the use of the battery. The benefit to the prosumer is from the maximum use of the self-produced electricity. The benefit to the grid is from the reduced peaks in the PV feed-in and the grid power consumption. This would allow an increase in the PV hosting and the load hosting capacity of the grid. The paper presents the mathematical formulation of the optimal control problem along with the cost benefit analysis. The MPC implementation scheme in the laboratory and experiment results have also been presented. The results show that the MPC is able to track the deviation in the weather forecast and operate the battery by solving the optimal control problem to handle this deviation.},
  language  = {en}
}
@article{NiroomandFeldmannBollin,
  author    = {Niroomand, Mehdi and Feldmann, Thomas and Bollin, Elmar},
  title     = {High-performance control system for grid-tied ESSs},
  series = {IET Generation Transmission \& Distribution},
  volume    = {11},
  number    = {8},
  organization    = {Institution of Engineering and Technology},
  issn      = {1751-8687},
  doi       = {10.1049/iet-gtd.2016.1637},
  pages     = {2138 -- 2145},
  abstract  = {In this study, a high-performance controller is proposed for single-phase grid-tied energy storage systems (ESSs). To control power factor and current harmonics and manage time-shifting of energy, the ESS is required to have low steady-state error and fast transient response. It is well known that fast controllers often lack the required steady-state accuracy and trade-off is inevitable. A hybrid control system is therefore presented that combines a simple yet fast proportional derivative controller with a repetitive controller which is a type of learning controller with small steady-state error, suitable for applications with periodic grid current harmonic waveforms. This results in an improved system with distortion-free, high power factor grid current. The proposed controller model is developed and design parameters are presented. The stability analysis for the proposed system is provided and the theoretical analysis is verified through stability, transient and steady-state simulations.},
  language  = {en}
}
@inproceedings{DongolFeldmannBollin,
  author    = {Dongol, Deepranjan and Feldmann, Thomas and Bollin, Elmar},
  title     = {A Model Predictive Control based Peak Shaving Application for a Grid Connected Household with Photovoltaic and Battery Storage},
  series = {Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS},
  publisher = {Science and Technology Publications},
  isbn      = {978-989-758-292-9},
  doi       = {10.5220/0006685300540063},
  pages     = {54 -- 63},
  abstract  = {The increase in households with grid connected Photovoltaic (PV) battery system poses challenge for the grid due to high PV feed-in as a result of mismatch in energy production and load demand. The purpose of this paper is to show how a Model Predictive Control (MPC) strategy could be applied to an existing grid connected household with PV battery system such that the use of battery is maximized and at the same time peaks in PV energy and load demand are reduced. The benefits of this strategy are to allow increase in PV hosting capacity and load hosting capacity of the grid without the need for external signals from the grid operator. The paper includes the optimal control problem formulation to achieve the peak shaving goals along with the experiment set up and preliminary experiment results. The goals of the experiment were to verify the hardware and software interface to implement the MPC and as well to verify the ability of the MPC to deal with the weather forecast deviation. A prediction correction has also been introduced for a short time horizon of one hour within this MPC strategy to estimate the PV output power behavior.},
  language  = {en}
}
@article{DongolFeldmannBollinetal.,
  author    = {Dongol, Deepranjan and Feldmann, Thomas and Bollin, Elmar and Schmidt, Michael},
  title     = {A model predictive control based peak shaving application of battery for a household with photovoltaic system in a rural distribution grid.},
  series = {Sustainable Energy, Grids and Networks},
  volume    = {16},
  publisher = {Elsevier},
  issn      = {2352-4677},
  doi       = {10.1016/j.segan.2018.05.001},
  pages     = {1 -- 13},
  abstract  = {In rural low voltage grid networks, the use of battery in the households with a grid connected Photovoltaic (PV) system is a popular solution to shave the peak PV feed-in to the grid. For a single electricity price scenario, the existing forecast based control approaches together with a decision based control layer uses weather and load forecast data for the on{\^a}€"off schedule of the battery operation. These approaches do bring cost benefit from the battery usage. In this paper, the focus is to develop a Model Predictive Control (MPC) to maximize the use of the battery and shave the peaks in the PV feed-in and the load demand. The solution of the MPC allows to keep the PV feed-in and the grid consumption profile as low and as smooth as possible. The paper presents the mathematical formulation of the optimal control problem along with the cost benefit analysis . The MPC implementation scheme in the laboratory and experiment results have also been presented. The results show that the MPC is able to track the deviation in the weather forecast and operate the battery by solving the optimal control problem to handle this deviation.},
  language  = {en}
}
@article{HabibBollinSchmidtetal.,
  author    = {Habib, Mustapha and Bollin, Elmar and Schmidt, Michael and Ladjici, Ahmed Amine},
  title     = {One-day ahead predictive management of building hybrid power system improving energy cost and batteries lifetime},
  series = {IET Renewable Power Generation},
  volume    = {13},
  number    = {3},
  publisher = {Institution of Engineering and Technology (IET)},
  issn      = {1752-1416},
  doi       = {10.1049/iet-rpg.2018.5454},
  pages     = {482 -- 490},
  abstract  = {In recent times, the energy consumed by buildings facilities became considerable. Efficient local energy management is vital to deal with building power demand penalties. This operation becomes complex when a hybrid energy system is included in the power system. This study proposes new energy management between photovoltaic (PV) system, Battery Energy Storage System (BESS) and the power network in a building by controlling the PV/BESS inverter. The strategy is based on explicit model predictive control (MPC) to find an optimal power flow in the building for one-day ahead. The control algorithm is based on a simple power flow equation and weather forecast. Then, a cost function is formulated and optimised using genetic algorithms-based solver. The objective is reducing the imported energy from the grid preventing the saturation and emptiness of BESS. Including other targets to the control policy as energy price dynamic and BESS degradation, MPC can optimise dramatically the efficacy of the global building power system. The strategy is implemented and tested successfully using MATLAB/SimPowerSystems software, compared to classical hysteresis management, MPC has given 10\% in energy cost economy and 25\% improvement in BESS lifetime.},
  language  = {en}
}