Abstract:For the evaluation of the energetic performance of combined renewable heating systems that supply space heat and domestic hot water for single family houses, dynamic behaviour, component interactions, and control of the system play a crucial role and should be included in test methods. New dynamic whole system test methods were developed based on "hardware in the loop" concepts. Three similar approaches are described and their differences are discussed. The methods were applied for testing solar thermal system… Show more
“…Further details on the test cycles and the obtained results were given by Schwarz et al [15] and Carlon et al [16]. For biomass based combisystems further test cycles are available [17]. The most common method is the concise cycle test [18][19][20][21] by the Institute for Solar Technology (SPF).…”
“…Further details on the test cycles and the obtained results were given by Schwarz et al [15] and Carlon et al [16]. For biomass based combisystems further test cycles are available [17]. The most common method is the concise cycle test [18][19][20][21] by the Institute for Solar Technology (SPF).…”
“…The procedure for the CCT and DST method is not based on direct extrapolation, but rather on fitting a global model (usually TRNSYS software) and simulation, as in the component approach. Further detail on the comparison of the three first methods is given in [23]. Extrapolation to other boundary conditions, different from those of the test sequence, is possible with the CCT method using annual simulations on the basis of the identified parameter values for the model.…”
Section: Introductionmentioning
confidence: 99%
“…The Short Cycle System Performance Test (SCSPT), Combitest [22], Concise Cycle Test (CCT) [23] and Dynamic System Testing DST [24][25][26] are examples of this kind of method. The system is charged and discharged according to a specific standard (the case of DST) or test sequence (12 days for SCSPT and CCT, but only 6 days for Combitest) particular to each method.…”
“…However, various studies exist that reproduce the seasonal performance of HPs via simulations [18,19], as well as consider the operating parameters of the units control such as the compressor frequency [20]. Menegon et al [21] and Haller et al [22] developed dynamic laboratory tests for the characterization of heating systems. Riederer et al [23] developed a dynamic test specifically for ground source heat pumps (GSHPs) considering dynamic weather conditions, occupancy profiles and a reference building.…”
The growing market penetration of heat pumps indicates the need for a performance test method that better reflects the dynamic behavior of heat pumps. In this contribution, we developed and implemented a dynamic test method for the evaluation of the seasonal performance of heat pumps by means of laboratory testing. Current standards force the heat pump control inactive by fixing the compressor speed. In contrast, during dynamic testing, the compressor runs unfixed while the heat pump is subjected to a temperature profile. The profile consists of the different outdoor temperatures of a typical heating season based on the average European climate and also includes temperature changes to reflect the dynamic behavior of the heat pump. The seasonal performance can be directly obtained from the measured heating energy and electricity consumption making subsequent data interpolation and recalculation with correction factors obsolete. The method delivers results with high precision and high reproducibility and could be an appropriate method for a fair rating of heat pumps.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.