Heat-load modelling for large systems |
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Affiliation: | 1. Grupo Biología y Control de Enfermedades Infecciosas — BCEI, Universidad de Antioquia, Calle 70 No. 52-21, Medellin, Colombia;2. Laboratorio de Parasitología, Instituto Hideyo Noguchi, Universidad Autónoma de Yucatán, Mérida, Mexico;3. Biodiversity Institute, University of Kansas, Lawrence, KS 66045, USA |
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Abstract: | Control strategies for operating district heating, the utilization of biomass boilers under optimal conditions, estimation of solar production by central solar-heating systems and much more, demand realistic modelling of heat loads/demands for district-heating systems. A dynamic system model is presented: the results from this simulation were then compared with results from alternative methods found in the literature. If knowledge is available for a given case or the load is to be found for a new system, the simulation approach is recommended. The method, however, involves many parameters that can lead to errors and uncertainties. Therefore, if knowledge of case-specific parameters is rare, the degree-day method can lead to realistic results. For low-energy, solar-optimized building area, the energy–signature method leads to reasonable results and if system-wide load data are available, the energy–signature method can even do better than the degree-day method. |
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