Decentralised power systems with a high portion of power generated from renewable energy sources and cogeneration units (CHP) are emerging worldwide. Optimising the energy usage of such systems is a difficult task as the stochastic fluctuations of generation from renewable sources, the coupling of electrical and thermal power generation by CHP and the time dependence of necessary storage devices require new approaches. Evolutionary algorithms are able to solve the optimisation task of the energy management. They use the principles of erroneous replication and cumulative selection that can be observed in biological processes, too. Very often recombination is included in the optimisation process. Using these quite simple principles the algorithm is able to explore difficult, large and high dimensional solution spaces. It will converge to the optimal solution in most of the cases quite fast, compared to other types of optimisation algorithms. At the example of an one dimensional replicator it is derived that the convergence speed in optimising convex functions increases by several orders of magnitude even after a few cycles compared to Monte-Carlo-simulation. For several types of equipment models are developed in this work. The cost to operate a given power system for a given time span is chosen as objective function. There is a variety of parameters (more than 15) that can be set in the algorithm. With quite extensive investigations it could be shown that the product of number of replicators and the number of calculated cycles has the most important influence on the quality of the solution but the calculation time is also proportional to this number. If there are reasonable values chosen for the remaining parameters the algorithm will find appropriate solutions in adequate time in most of the cases. Although a pure evolutionary algorithm will converge to a solution the convergence speed can be greatly enhanced by extending it to a hybrid algorithm. Grouping the replicators of the first cycle in suggestive regions of the solution space by an intelligent initialisation algorithm and repairing bad solutions by introducing a Lamarckian repair algorithm makes the optimisation converge fast to good optima. The algorithm was tested using data of several existing energy systems of different structure. To optimise the energy usage in a power system with 15 different types of units the required computation time is in the range of 15 minutes. The results of this work show that extended hybrid evolutionary algorithms are suitable for integrated optimisation of energy usage in combined local energy systems. They reach better results with the same or less effort than many other optimisation methods. The developed method of optimisation of energy usage can be applied in energy systems of small and large size and complexity as optimisation computations of energy systems on the island of Cape Clear, at FH Offenburg and in the Allgäu demonstrate.

Die Arbeit beschreibt ein Modell, dass den Materialfluss in Transport- und Puffersystemen mit Hilfe eines agenten-basierten Ansatzes realistisch abbildet. Auf der Basis von Produktionsprogrammen werden individuelle Güter in beliebigen Netzwerkstrukturen mit Hilfe direkter und indirekter Interaktionen behinderungsvermeidend gesteuert. / The thesis describes a model that realistically illustrates the material flow in transport and buffer systems by means of an agent-based approach. Individual goods are steered hindrance-avoiding in arbitrary network structures based on production programs by means of direct and indirect interactions.

In der vorliegenden Arbeit wird, ausgehend von der Darstellung der Grundlagen der Wasserstoffgasaufbereitungs- und CO–Gasreinigungsverfahren, eine Methodik zur energetischen Modularisierung des Gasaufbereitungsprozesses entwickelt. Die Modellierung und Analyse der einzelnen Prozessstufen erfolgt auf der Basis von Masse- und Energiebilanzen. Die theoretische Darstellung der Lösungsmethoden für die Bilanzgleichungen der einzelnen Prozessstufen ist dabei auf das System Dampfreformierung und CO-Gasreinigung eingegrenzt. Parameter zur energetischen Bewertung der Prozessvarianten werden definiert. Die Methodik führt zur Eingrenzung energetisch optimierter Prozessvarianten. Ihr Hauptziel liegt in der optimalen Nutzung prozessinterner Energie- und Stoffströme. Ein zentraler Bestandteil der Methodik ist die graphische Pinch-Methode. Sie wird dem vorliegenden Prozess angepasst.

Ziel der Dissertation ist, die Bereitstellung positiver Minutenreserve durch dezentrale Klein-KWK-Anlagen unter technischen, wirtschaftlichen und ökologischen Gesichtspunkten zu bewerten. Die Grundlage einer solchen Bewertung bilden detaillierte Kenntnisse des Abrufverhaltens positiver Minutenreserve. Deshalb wird die Inanspruchnahme positiver Minutenreserve untersucht und als stochastischer Prozess modelliert. Auf dieser Basis erfolgen Betrachtungen zur Dimensionierung der Wärmespeicher, zum Netzbetrieb mit hoher Dichte dezentraler Klein-KWK-Anlagen und zur Wirtschaftlichkeit eines solchen Konzeptes. Die abschließende ganzheitliche Betrachtung liefert Hinweise zur optimalen Betriebsweise der Klein-KWK-Anlagen. / From the technical point of view, virtual power plants consisting of small decentralized co-generation plants are able to provide positive tertiary reserve power for the European electricity transmission grid. For serious analyses, detailed knowledge about the load-characteristic of called reserve power is essentially. In order to examine grid operation, heat storage capacity and optimized power plant operation, the switch-on times of co-generation plants and the co-generated heat during reserve power provision have to be estimated. Aiming this, the called positive tertiary reserve power in Germany is analyzed and a mathematical model of the call-characteristic is synthesized. Furthermore, the results of examining grid operation, optimizing heat storage capacity and power plant operation are given. Calls of positive tertiary reserve power usually occur suddenly, non-scheduled and jumpy. Sometimes, there are single calls. Usually, calls occur clustered, i.e. one call is directly followed by further calls. Positive reserve power is much higher frequented under peak-load conditions than under base-load conditions. The characteristic of calling positive tertiary reserve power deeply depends on the control area. From the mathematical point of view, a Poisson-process fits non-scheduled and jumpy occurring events. Each jump marks a call date of positive tertiary reserve power. The values of the called power fit a logarithmical normal distribution. The lengths of the call-clusters satisfactorily fit a geometrical distribution. The expected value of called reserve energy is modeled dependent from the time of the day. The model is essential for simulating all combinations of switch-on times of co-generation plants and of co-generated heat volumes that might occur during providing reserve power. Aiming to optimize the installed heat storage capacity, the quote of heat use has to be examined. From both technical and ecological point of view, installing large heat storages is desirable in order to use all co-generated heat. From the economical point of view, installing any heat storage is not sensible. The solution of this trade-off is installing a heat storage that guarantees less or equal CO2-emissions than a conventional power plant fired with natural gas. The results of this thesis lead to 1 kWh heat storage capacity per 1 kW installed electrical power as rule of thumb. Concerning grid operation in steady state, a much higher density of co-generation plants than expected is technically installable. A general rule for extending the installable decentralized power cannot be deducted. Examining economics, decentalized co-genertation plants are desired to provide balancing power during their stand-by times. Building a virtual power plant only in order to provide reserve power is not economically sensible. From the power plant owners' view, providing positive tertiary reserve power by small decentralized co-generation plants is generally sustainable.

Die "Mitteilungen des URZ" informieren die Nutzer des Universitätsrechenzentrums der TU Chemnitz umfassend über neue Dienste und Projekte, vermitteln ggf. Hintergrundwissen und dienen der Berichterstattung.

Ein optimales Ausnutzen der von dezentralen Erzeugern innerhalb der bestehenden Energie- versorgungsstruktur bereitgestellten Energie fordert besonders bei der Einbindung regenerativer Quellen eine hohe Korrelation zwischen Angebot und Nachfrage. Innerhalb der vorliegenden Arbeit wird gezeigt, wie mittels Energiemanagementverfahren ein enger Zusammenhang zwischen dem Energieangebot aus fluktuierenden Quellen und der Energienachfrage hergestellt werden kann. Dabei wird ein entsprechender Optimierungsalgorithmus aufgestellt, der die für einen möglichst umfassenden Eigenverbrauch der erzeugten Energie notwendigen Anpassungsschritte ermittelt. Bei der Analyse von Energieangebot und -nachfrage wird, ausgehend von einer allgemeinen Darstellung, eine auf die Bedürfnisse eines Energiemanagements angepasste spezielle Beschreibung der Energiesituation erarbeitet. Die Anpassung von Energieangebot und -nachfrage erfolgt über die Auswahl spezifischer Verbrauchergruppen und die Ausnutzung der aus den systeminternen Zeitkonstanten resultierenden möglichen Unterbrechungsdauern. Die Vorgehensweise wird an Hand des Elektroenergiebezugs ausgesuchter klimatechnischer Anlagen in Verbindung mit einer regenerati- ven Energieerzeugung auf Basis der Photovoltaik dargestellt.

Die Bewertung der Eignung dezentraler Klein-KWK-Anlagen zur Bereitstellung positiver Minutenreserve erfordert Kenntnisse über die Charakteristik der Reserve-Inanspruchnahme. Eine Option zur Modellierung ist eine Zerlegung der Inanspruchnahme in Einflusskomponenten mittels Zeitreihenanalyse. Das verfügbare Datenmaterial verspricht belastbare Ergebnisse. / For evaluating small decentralized co-generation plants as positive tertiary reserve energy supply, detailed knowledge about the characteristic of using positive tertiary reserve power is necessary. One option to model the use of positive tertiary reserve power is to parse the use into single components with the help of time series analysis. The given data prove convincing results.

Ziel der Dissertation ist, die Bereitstellung positiver Minutenreserve durch dezentrale Klein-KWK-Anlagen unter technischen, wirtschaftlichen und ökologischen Gesichtspunkten zu bewerten. Die Grundlage einer solchen Bewertung bilden detaillierte Kenntnisse des Abrufverhaltens positiver Minutenreserve. Deshalb wird die Inanspruchnahme positiver Minutenreserve untersucht und als stochastischer Prozess modelliert. Auf dieser Basis erfolgen Betrachtungen zur Dimensionierung der Wärmespeicher, zum Netzbetrieb mit hoher Dichte dezentraler Klein-KWK-Anlagen und zur Wirtschaftlichkeit eines solchen Konzeptes. Die abschließende ganzheitliche Betrachtung liefert Hinweise zur optimalen Betriebsweise der Klein-KWK-Anlagen. / From the technical point of view, virtual power plants consisting of small decentralized co-generation plants are able to provide positive tertiary reserve power for the European electricity transmission grid. For serious analyses, detailed knowledge about the load-characteristic of called reserve power is essentially. In order to examine grid operation, heat storage capacity and optimized power plant operation, the switch-on times of co-generation plants and the co-generated heat during reserve power provision have to be estimated. Aiming this, the called positive tertiary reserve power in Germany is analyzed and a mathematical model of the call-characteristic is synthesized. Furthermore, the results of examining grid operation, optimizing heat storage capacity and power plant operation are given. Calls of positive tertiary reserve power usually occur suddenly, non-scheduled and jumpy. Sometimes, there are single calls. Usually, calls occur clustered, i.e. one call is directly followed by further calls. Positive reserve power is much higher frequented under peak-load conditions than under base-load conditions. The characteristic of calling positive tertiary reserve power deeply depends on the control area. From the mathematical point of view, a Poisson-process fits non-scheduled and jumpy occurring events. Each jump marks a call date of positive tertiary reserve power. The values of the called power fit a logarithmical normal distribution. The lengths of the call-clusters satisfactorily fit a geometrical distribution. The expected value of called reserve energy is modeled dependent from the time of the day. The model is essential for simulating all combinations of switch-on times of co-generation plants and of co-generated heat volumes that might occur during providing reserve power. Aiming to optimize the installed heat storage capacity, the quote of heat use has to be examined. From both technical and ecological point of view, installing large heat storages is desirable in order to use all co-generated heat. From the economical point of view, installing any heat storage is not sensible. The solution of this trade-off is installing a heat storage that guarantees less or equal CO2-emissions than a conventional power plant fired with natural gas. The results of this thesis lead to 1 kWh heat storage capacity per 1 kW installed electrical power as rule of thumb. Concerning grid operation in steady state, a much higher density of co-generation plants than expected is technically installable. A general rule for extending the installable decentralized power cannot be deducted. Examining economics, decentalized co-genertation plants are desired to provide balancing power during their stand-by times. Building a virtual power plant only in order to provide reserve power is not economically sensible. From the power plant owners' view, providing positive tertiary reserve power by small decentralized co-generation plants is generally sustainable.

In der vorliegenden Arbeit wird, ausgehend von der Darstellung der Grundlagen der Wasserstoffgasaufbereitungs- und CO–Gasreinigungsverfahren, eine Methodik zur energetischen Modularisierung des Gasaufbereitungsprozesses entwickelt. Die Modellierung und Analyse der einzelnen Prozessstufen erfolgt auf der Basis von Masse- und Energiebilanzen. Die theoretische Darstellung der Lösungsmethoden für die Bilanzgleichungen der einzelnen Prozessstufen ist dabei auf das System Dampfreformierung und CO-Gasreinigung eingegrenzt. Parameter zur energetischen Bewertung der Prozessvarianten werden definiert. Die Methodik führt zur Eingrenzung energetisch optimierter Prozessvarianten. Ihr Hauptziel liegt in der optimalen Nutzung prozessinterner Energie- und Stoffströme. Ein zentraler Bestandteil der Methodik ist die graphische Pinch-Methode. Sie wird dem vorliegenden Prozess angepasst.

Decentralised power systems with a high portion of power generated from renewable energy sources and cogeneration units (CHP) are emerging worldwide. Optimising the energy usage of such systems is a difficult task as the stochastic fluctuations of generation from renewable sources, the coupling of electrical and thermal power generation by CHP and the time dependence of necessary storage devices require new approaches. Evolutionary algorithms are able to solve the optimisation task of the energy management. They use the principles of erroneous replication and cumulative selection that can be observed in biological processes, too. Very often recombination is included in the optimisation process. Using these quite simple principles the algorithm is able to explore difficult, large and high dimensional solution spaces. It will converge to the optimal solution in most of the cases quite fast, compared to other types of optimisation algorithms. At the example of an one dimensional replicator it is derived that the convergence speed in optimising convex functions increases by several orders of magnitude even after a few cycles compared to Monte-Carlo-simulation. For several types of equipment models are developed in this work. The cost to operate a given power system for a given time span is chosen as objective function. There is a variety of parameters (more than 15) that can be set in the algorithm. With quite extensive investigations it could be shown that the product of number of replicators and the number of calculated cycles has the most important influence on the quality of the solution but the calculation time is also proportional to this number. If there are reasonable values chosen for the remaining parameters the algorithm will find appropriate solutions in adequate time in most of the cases. Although a pure evolutionary algorithm will converge to a solution the convergence speed can be greatly enhanced by extending it to a hybrid algorithm. Grouping the replicators of the first cycle in suggestive regions of the solution space by an intelligent initialisation algorithm and repairing bad solutions by introducing a Lamarckian repair algorithm makes the optimisation converge fast to good optima. The algorithm was tested using data of several existing energy systems of different structure. To optimise the energy usage in a power system with 15 different types of units the required computation time is in the range of 15 minutes. The results of this work show that extended hybrid evolutionary algorithms are suitable for integrated optimisation of energy usage in combined local energy systems. They reach better results with the same or less effort than many other optimisation methods. The developed method of optimisation of energy usage can be applied in energy systems of small and large size and complexity as optimisation computations of energy systems on the island of Cape Clear, at FH Offenburg and in the Allgäu demonstrate.