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Nowadays CHP units are discussed for the production of electricity on demand rather than for generation of heat providing electricity as a by-product. By this means, CHP units are capable of satisfying a higher share of the electricity demand on-site and in this new role, CHP units are able to reduce the load on the power grid and to compensate for high fluctuations of solar and wind power.
Evidently, a novel control strategy for CHP units is required in order to shift the operation oriented at the heat demand to an operation led by the electricity demand. Nevertheless, the heat generated by the CHP unit needs to be utilized completely in any case, for maintaining energy as well as economic efficiency. Such a strategy has been developed at Reutlingen University, and it will be presented in the paper. Part of the strategy is an intelligent management for the thermal energy storage (TES) ensuring that the storage is at low level in terms of its heat content just before an electricity demand is calling the CHP unit into operation. Moreover, a proper forecast of both, heat and electricity demand, is incorporated and the requirements of the CHP unit in terms of maintenance and lifetime are considered by limiting the number of starts and stops per unit time and by maintaining a certain minimum length of the operation intervals.
All aspects of this novel control strategy are revealed in the paper, which has been implemented on a controller for further testing at two sites in the field. Results from these tests are given as well as results from a simulation model, which is able to evaluate the performance of the control strategy for an entire year.
Das Thema Energiewende ist in aller Munde. Sie soll eine sichere, umweltverträgliche und wirtschaftlich erfolgreiche Zukunft ermöglichen. Ein Ansatz dafür ist die dezentrale, also verbrauchernahe Energieversorgung. Der Trend geht weg vom konventionellen Kraftwerk und hin zur Kraft-Wärme-Koppelung und erneuerbaren Energien. Für einen absehbaren Zeitraum geht es auch darum, zentrale und dezentrale Elemente sinnvoll miteinander zu verknüpfen. Mit der Frage, wie Energiesysteme angepasst und kombiniert werden müssen, um den Energiehaushalt – den nationalen wie den von Unternehmen und Privatpersonen – optimieren zu können, beschäftigt sich das Reutlinger Energiezentrum für Dezentrale Energiesysteme und Energieeffizienz in Lehre und Forschung. Es ist die Kombination aus Technik und Betriebswirtschaft, aus einzelwirtschaftlicher Optimierung und aus Gesamtsicht, die das Reutlinger Energiezentrum ausmacht. Im Folgenden werden die Schwerpunkte des Forschungsteams dargestellt.
Coupling electricity and heat sector is one of the most necessary actions for the successful energy transition. Efficient electrification for space heating and domestic hot water generation is needed for buildings, which are not connected to any district heating network, as distributed heating demand momentarily is largely met by fossil fuels. Hence, hybrid energy systems will play a pivotal role for the energy transition in buildings. Heat pumps running on PV-electricity is one of the most widely discussed combination for this purpose. In this paper, a heuristic optimization method for the optimal operation of a heat pump driven by the objective for maximum onsite PV electricity utilization is presented. In this context, the thermal flexibility of the building and a thermal energy storage (TES) for generation of domestic hot water (DHW) are activated in order to shift the operation of the heat pump to times of PV-generation. Yearly simulations for a system consisting of heat pump, PV modules, building with floor heating installation and TES for DHW generation are carried out. Variation parameters for the simulation include room temperature amplitude (0.5, 1, 1.5 and 2 K) based on mean room temperature (21 °C), PV-capacity (4, 6, 8 and 10 kW) and type of heat pump (ground source and air source type). The yearly energy balances show that buildings offer significant thermal storage capacity avoiding an additional, large TES for space heating fulfillment and improving the share of onsite PV electricity utilization. With introduction of a battery, which has been analyzed as well for different sizes (1.9, 4.8, 7.7 and 10.6 kWh), the share of onsite PVelectricity utilization can even be improved. However, thermal flexibility supplemented by the varying room temperature amplitude for a bigger battery does not improve the share of onsite PV-electricity utilization. Nevertheless, even with a battery not more than 50% of the electrical load including operation of the heat pump can be covered by PV-electricity for the specific system under investigation. This is noteworthy on the one hand, since it indicates that a hybrid heating system consisting of heat pump and PV cannot solely cover the heat demand of residential buildings. One the other hand, this emphasizes the necessity to include further renewable sources like wind power, in order to draw the complete picture. This, however, is beyond the scope of this paper, which mainly focuses on introduction and verification of the novel control method with regard to a practical building.
The main challenge when driving heat pumps by PV-electricity is balancing differing electrical and thermal demands. In this article, a heuristic method for optimal operation of a heat pump driven by a maximum share of PV-electricity is presented. For this purpose, the (DHW) are activated in order shift the operation of the heat pump to times of PV-generation. The system under consideration refers to thermal and electrical demands of a single family house. It consists of a heat pump, a thermal energy storage for DHW and of grid connected heating and generation of domestic hot water, the heat pump runs with two different supply temperatures and thereby achieving a maximum overall COP. Within the algorithm for optimization a set of heuristic rules is developed in a way that the operational characteristics of the heat pump in terms of minimum running and stopping times are met as well as the limiting constraints of upper and lower limits of room temperature and energy content of electricity generated, a varying number of heat pump schedules fulfilling the bundary conditions are created. Finally, the schedule offering the maximum on-site utilization of PV-electricity with a minimum number of starts of the heat pump, which serves as secondary condition, is selected. Yearly simulations of this combination have been carried out. Initial results of this method indicate a significant rise in on-site consumption of the PV-electricity and heating demand fulfilment by renewable electricity with no need for a massive TES for the heating system in terms of a big water tank.
Es ist landläufig bekannt, dass die Stromerzeugung zukünftig auf der Basis erneuerbarer Energien, und damit vornehmlich durch Solar- und Windkraftanlagen, erfolgen soll. Dieses unter dem Stichwort „Energiewende“ formulierte Ziel ist allgemein akzeptiert, und es existieren mittlerweile verschiedene Szenarien, die den Zeitplan dafür vorgeben.
Für Baden-Württemberg hat das Umweltministerium die Strategie „50-80-90“ ausgearbeitet: Danach sollen bis zum Jahr 2050 der Energieverbrauch um 50% reduziert, 80% der benötigten Energie aus erneuerbaren Energien erzeugt und 90% der Treibhausgasemissionen eingespart werden.
The paper illustrates the status quo of a research project for the development of a control system enabling CHP units for a demand-oriented electricity production by an intelligent management of the heat storage tank. Thereby the focus of the project is twofold. One is the compensation of the fluctuating power production by the renewable energies solar and wind. Secondly, a reduction of the load on the power grid is intended by better matching local electricity demand and production.
In detail, the general control strategy is outlined, the method utilized for forecasting heat and electricity demand is illustrated as well as a correlation method for the temperature distribution in the heat storage tank based on a Sigmoid function is proposed. Moreover, the simulation model for verification and optimization of the control system and the two field test sites for implementing and testing the system are introduced.
Die zunehmende erneuerbare Stromerzeugung erfordert Anstrengungen, um den Angebotsschwankungen und der Verteilungsproblematik entgegen zu wirken. Eine dezentrale und am Bedarf orientierte Stromerzeugung mittels Kraft-Wärme-Kopplung (KWK) kann einen wesentlichen Beitrag leisten, um diese Schwankungen auszugleichen und die Netze zu entlasten. Zu diesem Zweck ist aber ein Steuerungssystem für die KWK-Anlagen erforderlich, das sowohl für die Deckung des Wärmebedarfs im Objekt sorgt, als auch gewährleistet, dass die elektrische Energie genau zu den Zeiten erzeugt wird, zu denen sie im Objekt benötigt wird. Die Entkopplung von Stromerzeugung und Deckung des Wärmebedarfs kann dabei über den standardmäßig vorhandenen Wärmespeicher erfolgen. Dieser stellt damit das zentrale Element der Gesamtanlage dar, für die das Steuerungssystem zur Eigenstromoptimierung im Rahmen des Forschungsvorhabens entwickelt und erprobt werden soll.
Im Rahmen des vorliegenden Zwischenberichtes werden die Ergebnisse des 2. des auf insgesamt drei Jahre angelegten Forschungsprojektes vorgestellt. Im Einzelnen sind die Themen Prognose, Bestimmung des Energieinhaltes im Wärmespeicher, stromoptimiertes Steuerungssystem, Aufbau der Feldtestanlagen, Simulation und sozialwissenschaftliche Begleitforschung beschrieben.
Bei den umfangreichen Arbeiten zur Wärme- und Strombedarfsprognose hat sich gezeigt, dass die naive Prognose, die auf der Übernahme der Daten der Vortage beruht, aufgrund des starken Einflusses des individuellen Nutzerverhaltens eine nur schwer zu verbessernde Vorhersagegüte aufweist. Zur Bestimmung des Energieinhaltes im Wärmespeicher wird eine Sigmoidfunktion zur Beschreibung des Temperaturverlaufs über der Speicherhöhe verwendet. Schwierig ist dabei die Anpassung der vier Funktionsparameter mit nur drei Temperaturmesswerten, was jedoch durch geeignete Randbedingungen erreicht werden kann. Das stromoptimierte Steuerungssystem verwendet die Wärmebedarfskurven bei minimalem und maximalem Energieinhalt des Wärmespeichers als Begrenzungen des Optimierungsbereiches, um so die Deckung des Wärmebedarfs zu jeder Zeit zu gewährleisten. Die zwei im Projekt zur Verfügung stehenden Feldtestanlagen wurden mit zusätzlicher Mess- und Steuerungstechnik nachgerüstet, um das entwickelte Steuerungssystem implementieren und testen zu können. Das Simulationsmodell ist im Hinblick auf verschiedene Speicherkonfigurationen erweitert und auf Basis am BHKW-Prüfstand der Hochschule gewonnener Versuchsdaten verifiziert worden, und im Zuge der sozialwissenschaftlichen Begleitforschung werden die Ergebnisse einer im Rahmen des Projektes angefertigten Studie zu den Hemmnissen der KWK vorgestellt.
In the course of a more intensive energy generation from regenerative sources, an increased number of energy storages is required. In addition to the widespread means of storing electric energy, storing energy thermally can contribute significantly. However, limited research exists on the behaviour of thermal energy storages (TES) in practical operation. While the physical processes are well known, it is nevertheless often not possible to adequately evaluate its performance with respect to the quality of thermal stratification inside the tank, which is crucial for the thermodynamic effectiveness of the TES. The behaviour of a TES is experimentally investigated in cyclic charging and discharging operation in interaction with a cogeneration (CHP) unit at a test rig in the lab. From the measurements the quality of thermal stratification is evaluated under varying conditions using different metrics such as normalised stratification factor, modified MIX number, exergy number and exergy efficiency, which extends the state of art for CHP applications. The results show that the positioning of the temperature sensors for turning the CHP unit on and off has a significant influence on both the effective capacity of a TES and the quality of thermal stratification inside the tank. It is also revealed that the positioning of at least one of these sensors outside the storage tank, i.e. in the return line to the CHP unit, prevents deterioration of thermal stratification, thereby enhancing thermodynamic effectiveness. Furthermore, the effects of thermal load and thermal load profile on effective capacity and thermal stratification are discussed, even though these are much smaller compared to the effect of positioning the temperature sensors.