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In der Planungs- und Betriebspraxis herrscht im Bereich der Betriebsführung von thermisch aktivierten Bauteilsystemen und insbesondere der thermisch trägen Bauteilaktivierung noch große Unsicherheit. Trotz einer weiten Verbreitung dieser Systeme im Neubau von Nichtwohngebäuden hat sich bis heute keine einheitliche Betriebsführungsstrategie durchgesetzt. Vielmehr kritisieren Bauherren und Nutzer regelmäßig zu hohe bzw. niedrige Raumtemperaturen in den Übergangsjahreszeiten und bei Wetterwechsel sowie generell eine mangelhafte Regelbarkeit. Demgegenüber weisen Monitoringprojekte immer wieder einen hohen thermischen Komfort in diesen Gebäuden nach. Offensichtlich unterscheiden sich hier subjektiv empfundene Behaglichkeit und objektiv gemessener Komfort. Gleichzeitig sind Heiz- und Kühlkonzepte mit Flächentemperierung dann besonders energieeffizient, wenn das Regelkonzept auf deren thermische Trägheit angepasst ist. Eine gute Regelung gewährleistet also einen hohen thermischen Komfort und sorgt für einen möglichst niedrigen Energieeinsatz. Das Rechenverfahren mit Anlagenaufwandszahlen (in Anlehnung an DIN V 18599) bietet eine gute Möglichkeit, Anlagenkonzepte inklusive deren Betriebsführungsstrategie zu bewerten. Damit ist es möglich, eine auf das Gebäude angepasste Betriebsführungsstrategie für die Bauteilaktivierung zu finden und einheitlich zu bewerten.
The building sector is one of the main consumers of energy. Therefore, heating and cooling concepts for renewable energy sources become increasingly important. For this purpose, low-temperature systems such as thermo-active building systems (TABS) are particularly suitable. This paper presents results of the use of a novel adaptive and predictive computation method, based on multiple linear regression (AMLR) for the control of TABS in a passive seminar building. Detailed comparisons are shown between the standard TABS and AMLR strategies over a period of nine months each. In addition to the reduction of thermal energy use by approx. 26% and a significant reduction of the TABS pump operation time, this paper focuses on investment savings in a passive seminar building through the use of the AMLR strategy. This includes the reduction of peak power of the chilled beams (auxiliary system) as well as a simplification of the TABS hydronic circuit and the saving of an external temperature sensor. The AMLR proves its practicality by learning from the historical building operation, by dealing with forecasting errors and it is easy to integrate into a building automation system.
Battery degradation is a complex physicochemical process that strongly depends on operating conditions. We present a model-based analysis of lithium-ion battery degradation in a stationary photovoltaic battery system. We use a multi-scale multi-physics model of a graphite/lithium iron phosphate (LiFePO4, LFP) cell including solid electrolyte interphase (SEI) formation. The cell-level model is dynamically coupled to a system-level model consisting of photovoltaics (PV), inverter, load, grid interaction, and energy management system, fed with historic weather data. Simulations are carried out for two load scenarios, a single-family house and an office tract, over annual operation cycles with one-minute time resolution. As key result, we show that the charging process causes a peak in degradation rate due to electrochemical charge overpotentials. The main drivers for cell ageing are therefore not only a high state of charge (SOC), but the charging process leading towards high SOC. We also show that the load situation not only influences system parameters like self-sufficiency and self-consumption, but also has a significant impact on battery ageing. We assess reduced charge cut-off voltage as ageing mitigation strategy.
The DMFC is a promising option for backup power systems and for the power supply of portable devices. However, from the modeling point of view liquid-feed DMFC are challenging systems due to the complex electrochemistry, the inherent two-phase transport and the effect of methanol crossover. In this paper we present a physical 1D cell model to describe the relevant processes for DMFC performance ranging from electrochemistry on the surface of the catalyst up to transport on the cell level. A two-phase flow model is implemented describing the transport in gas diffusion layer and catalyst layer at the anode side. Electrochemistry is described by elementary steps for the reactions occurring at anode and cathode, including adsorbed intermediate species on the platinum and ruthenium surfaces. Furthermore, a detailed membrane model including methanol crossover is employed. The model is validated using polarization curves, methanol crossover measurements and impedance spectra. It permits to analyze both steady-state and transient behavior with a high level of predictive capabilities. Steady-state simulations are used to investigate the open circuit voltage as well as the overpotentials of anode, cathode and electrolyte. Finally, the transient behavior after current interruption is studied in detail.