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Schlussbericht zum Projekt SimCast – Simulationsgestützte Prognose der Dauer von Logistikprozessen
(2018)
Für den kundenindividuellen Anlagenbau in der Unikat- und Kleinserienfertigung sind die termingerechte Fertigstellung, Lieferung und Inbetriebnahme einer Anlage entscheidende Wettbewerbsfaktoren. Bei der Planung neuer Projekte kann das bisher aus Projekten erworbene Wissen allerdings nicht 1:1 in ein neues Projekt übertragen werden, da die Parameter und die Dauer der Montage- und Logistikprozesse von dem jeweils zu montierenden Bauteil abhängig sind. Aus diesem Grund wird diese Prozessdauer heute nur grob abgeschätzt; ...
Aufsatz
Optimal Energy Supply Structures for Industrial Sites in Different Countries Considering Energy Transitions: A Cheese Factory Case Study
(2016)
This present study focuses on analysing the most efficient utility energy supply structure in terms of primary energy efficiency, carbon emissions and energy costs. In the German dairy industry, separate conversion with gas fired steam boiler, and cooling with ammonia chillers are the-state-of-the-art technologies. It is attractive due to its robustness and low investment costs. But given the ongoing energy transition to renewable energy, opportunities to reduce emissions will become increasingly important. There are ...
Aufsatz
Dimensioning of Heat Pump Systems Based on Pinch Analysis and Energy Monitoring Data
(2018)
In this paper, typical process chains of metal processing/gear manufacturing are examined according to the pinch method with regard to their potential for heat recovery and their suitability for heat pump applications. The focus is on machine tools and parts washing machines as fluctuating heat sources and sinks. Heat sources at a low temperature level, such as the cooling of machine tools, are becoming increasingly important in contrast to conventional fossil waste heat sources due to the electrification of energy ...
Aufsatz
Evaluation of a Stratified Tank based Heat Recovery Loop via Dynamic Simulation
(2018)
Prerequisite for hot water recovery in the dairy and beverage industry is the use of heat storage, such as stratified tanks. Total Site Heat Integration enables the targeting of heat recovery potential, the concrete identification of suitable sinks and source profiles and the dimensioning of intermediate circuits and storages. For a cost and energy efficient storage, the aim to maintain stratification by suitable thermocline control management. Dynamic simulation enables a reliable estimation of energy savings and ...
Aufsatz
Predictive Simulation-based Optimisation of Cooling System Including a Sprinkler Tank
(2018)
Prerequisite for an efficient cooling energy system is the knowledge and the optimal combination of different operating conditions of individual compression and free cooling chillers. The performance of cooling systems depends on its part load performance and its condensing temperature, which are often unknown. Recorded energy data remains unused and manufacturers' data significantly differs from the real performance. For this purpose, manufacturer and real data are combined and continuously adapted to form partial ...
Aufsatz
Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions
(2017-05-10)
This study focuses on analysing the most energy efficient utility system supply structure in terms of carbon emissions, primary energy efficiency and energy costs. In the German food processing industry, the state-of-the-art technologies in the utility supply structure are a gas fired steam boiler for steam generation and ammonia chillers for chilled water generation. Low investment costs and its durability are attractive for industrial production sites. But, given the ongoing energy transition to renewable energy, ...
Teil eines Buches
Prädiktive simulationsgestützte Optimierung von Kältemaschinen im Verbund
(kassel university press, 2017)
Prerequisite for an efficient cooling energy system is the knowledge and the optimal combination of different operating conditions of individual compression chillers. The performance of cooling systems depending on its part load performance and its condensing temperature are often unknown. Recorded energy data remains unused and manufacturers' data differs significantly from the real performance. For this purpose, manufacturer and real data are combined and continuously adapted to form partial load curve models. A ...
Aufsatz
Process and utility systems integration and optimisation for ultra-low energy milk powder production
(2017-04-26)
This study applies a Total Site Heat Integration approach in conjunction with a detailed process and utility model, to develop an innovative ultra-low energy milk powder plant design. The basis for the analysis is a state-of-the-art modern milk powder plant that requires 5265 MJ/tp of fuel and 210.5 kWh/tp (58.5 MJe/tp) of electricity. The model of the modern milk powder plant was validated against industrial data and changes to process and/or utility systems are targeted and implemented into the model to understand ...
Aufsatz
Total Site Utility Systems Optimisation for Milk Powder Production
(2016)
This study applies the Total Site Heat Integration method, in conjunction with a detailed process and utility model, to investigate three methods to increase the energy efficiency of the utility supply system for milk powder production. Sequentially explored opportunities are: (1) increasing boiler efficiency through condensing economisers, (2) waste heat recovery from the chiller unit, and (3) Combined Heat and Power (CHP) for electricity production. The basis for the analysis is the anticipated future milk powder ...
Aufsatz
Assessment of probabilistic distributed factors influencing renewable energy supply for hotels using Monte-Carlo methods
(2017-04-05)
This paper investigates the use of renewable energies to supply hotels in island regions. The aim is to evaluate the effect of weather and occupancy fluctuations on the sensitivity of investment criteria. The sensitivity of the chosen energy system is examined using a Monte Carlo simulation considering stochastic weather data, occupancy rates and energy needs. For this purpose, algorithms based on measured data are developed and applied to a case study on the Canary Islands.
The results underline that electricity ...