Influence Of The DHW Load Profile On The Fractional Energy Savings:

Jordan, Ulrike; Vajen, Klaus

doi:10.1016/s0038-092x(00)00154-7

Cited by 90 publications

(31 citation statements)

References 5 publications

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“…The boundary conditions for the systems are defined by the climate, in this study Stockholm (METEONORM, 1999), the domestic hot water (DHW) load and the space heating demand. The DHW load has been modelled with a load profile developed by (Jordan et al, 2002) assuming a daily hot water demand of about 200 litre (~3100 kWh/year). The space heating demand is modelled by an one zone building model developed for IEA-SHC task 26 giving a yearly heat demand of approximately 12200 kWh (87 kWh/m 2 ) for Stockholm.…”

Section: Modelling In Trnsysmentioning

confidence: 99%

Carbon monoxide emissions of combined pellet and solar heating systems

Fiedler

Persson

2009

Applied Energy

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Emissions are an important aspect of a pellet heating system. Low harmful emissions, particularly carbon monoxide, are a measure of a well performing system. High carbon monoxide emissions are often caused by unnecessary cycling of the burner when the burner is operated below the lowest combustion power. Combining pellet heaters with a solar heating systems can significantly reduce cycling of the pellet heater and avoid the inefficient summer operation of the pellet heater. Five combined systems representing the range of typical solutions of this system type and one recently developed system have been studied, modelled and simulated. These systems are compared to a reference system which is based on a pellet boiler and is not combined with a solar heating system. The aim was to study CO-emissions of the different types of systems and to analyse the potential of CO-emission reduction when the pellet heater is combined with a solar heating systems. Another aim was to compare the yearly CO-emissions obtained from simulations under realistic dynamic conditions with the yearly CO-emissions calculated based on the values that are obtained by the standard test methods. The study was performed with the simulation tool TRNSYS. The parameter used in the study have been identified from lab measurements on existing pellet boilers/stoves and solar heating systems. The results from the simulations show that is possible to almost halve the CO-emission if the pellet heater is combined with a solar heating system. The results also show that the CO-emission of existing combined solar and pellet heating systems can be drastically reduced if the pellet heater is properly controlled and some basic design rules are observed. This can also be seen when analyzing the results for the new system concept where these rules have been taken into account. Comparing the yearly CO-emissions obtained from the simulations with the yearly CO-emissions calculated based on the standard test methods shows that using the latter give too low CO-values for the whole year. It is also shown that for the existing systems the average emissions under these realistic annual conditions were greater than the limit values of two Eco-labels.

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Section: Modelling In Trnsysmentioning

confidence: 99%

Carbon monoxide emissions of combined pellet and solar heating systems

Fiedler

Persson

2009

Applied Energy

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“…The losses from the store and, in the case of systems 3 and 4, also from the boiler, are (in the initial simulations) not used as heat input to the building. The domestic hot water load has been modeled with the load profile developed by Jordan and Vajen [6] assuming a daily hot water demand of 200 l. All four DHW-stores and combistores have been modeled with TRNSYS type 140 [2].…”

Section: Border Conditionsmentioning

confidence: 99%

Thermal performance of combined solar and pellet heating systems

et al. 2006

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“…The heating and electricity demand outcomes obtained from the EnergyPlus building simulation serve for the corresponding load profiles. The demand data for the DHW demand is generated with the software DHWcalc [25]. For the daily hot water demand per person 35 L at 60 • C is assumed [26].…”

Section: Assumptionsmentioning

confidence: 99%