An Analytical Model for Mathematical Analysis of Smart Daily Energy Management for Air to Water Heat Pumps

Tabatabaei, Seyed Amin; Thilakarathne, Dilhan J.; Treur, Jan

doi:10.1016/j.egypro.2014.06.072

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…Energy related systems are naturally complex systems where the logical stability of the system is always far away from equlibirium and it is necessary to engage from situation to situation with enough details of data through a continuouss monitoring, communication and tuning process for a rational optimisation. For example, when considering the temperature settings of a house from evening to morning (for the winter season) for a comfortable stay and sleep, it is a question at what time the heat pump should start and how to control the temperature values over time so that the most economical energy usage with a satisfactory level of comfort is obtained (see [21]). This types of questions can be answered through agent based approaches more easily and proactively.…”

Section: Discussionmentioning

confidence: 99%

Agent-Based Analysis of Annual Energy Usages for Domestic Heating based on a Heat Pump

Tabatabaei

Thilakarathne

Treur

2014

Proceedings of the 2014 Conference ICT for Sustainability

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This paper describes an agent-based analysis approach to determine in which way a net zero house can be obtained. In particular, it addresses agent-based simulation to estimate annual energy usage for heating based on an air to water heat pump. Based on the introduced approach house owners will be able to decide on the specifications for further renewable energy production systems to be installed, for example, solar or wind energy production systems in order to obtain a net zero house in the present and in future years.

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Section: Discussionmentioning

confidence: 99%

Agent-Based Analysis of Annual Energy Usages for Domestic Heating based on a Heat Pump

Tabatabaei

Thilakarathne

Treur

2014

Proceedings of the 2014 Conference ICT for Sustainability

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“…Regarding the total heat irradiation on a tilted surface, Reindl et al [46,47] propose Equation (8), which is a variation of the isotropic model that quantifies the fraction of the beam radiation the hits the surface of the collectors, as a function of both the tilt factor, Equation (8a) and the anisotropic index, Equation (8b), where the former is the relation between the position of the sun and the collector inclination, and the latter quantifies the atmospheric attenuation. Moreover, in addition to diffuse and circumsolar radiation, the Reindl model also accounts for reflected radiation and the horizon brightening.…”

Section: Total Heat Collection Modelmentioning

confidence: 99%

“…Other authors such as Ito et al [7] also experimented with the collector dimensions and construction, concluding that they do not have a significant effect on the DXSAHP's performance, as long as it is not working under extreme conditions and the solar radiation index is at its maximum. On the other hand, to comprehend the heat transfer capabilities of the DXSAHP during non-radiation conditions Tabatabaei et al [8] developed an analytical model to analyze an air-to-water heat pump for space heating, considering only convection phenomena and the temperature difference between the heat source and sink. The results indicate that at night, there is an advantage of 7.2% in energy usage if the difference between indoor and outdoor temperatures is left free to increase.…”

Section: Analysis Of the Solar Collectorsmentioning

confidence: 99%

Mathematical Thermal Modelling of a Direct-Expansion Solar-Assisted Heat Pump Using Multi-Objective Optimization Based on the Energy Demand

León-Ruiz

Carvajal-Mariscal

2018

Energies

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An analytical model is proposed to evaluate the performance of a Direct Expansion Solar-Assisted Heat Pump under a given environmental condition. These thermal machines commonly employ uncovered flat plate solar collectors, and given this, the convection phenomenon is taken into account as well as the effect of the diffuse and reflected solar radiation in addition to the normal beam radiation absorbed by the tilted surface of the collectors. The heat pump cycle is modelled through a first law of thermodynamics approach in order to compute the heat yielded through condensation and the minimum heat required by the volume of water in the thermal storage unit. Consequently, the thermal capacity of the heat pump, the ratio at which the system yields heat to a given load of water, is calculated and discussed. The results of the model proposed are compared with the experimental data provided by three research papers with experiments conducted in different geographic coordinates and test rigs operating during diverse atmospheric conditions. A maximum relative error of 20% was obtained and furthermore, a statistical analysis of the data was conducted having found that there is no significant statistical difference between the analytical and experimental data samples within the 95% confidence interval. Finally, based on the thermal capacity, the performance of the heat pump is evaluated and a multi-objective optimization technique is implemented to obtain the best possible combination of factors to further enhance the performance of the heat pump.

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“…To estimate the efficiency of a heat pump often the Seasonal Performance Factor, SPF, is used (usually for a particular period of time or a season) [11][12][13]:…”

Section: Background Knowledge and The Computational Modelmentioning

confidence: 99%

Analysis of Electricity Usage for Domestic Heating Based on an Air-to-Water Heat Pump in a Real World Context

Tabatabaei

Treur

2015

2nd International Congress on Energy Efficiency and Energy Related Materials (ENEFM2014)

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In this paper a new computational model to estimate the performance of an air to water heat pump in relation to outdoor temperature is proposed and evaluated. This model is an extension and refinement of a model proposed in previous work. In the new model the following has been taken into account. Real empirical data for usage of a heat pump over a whole heating season have been used to obtain accurate parameter values. The energy which is used for heating sanitation water for the bathroom is taken into account in a separate submodel. According to some reports, around 15 % of domestic energy usage is for hot water. From the empirical data set, the fraction of energy which is consumed for this purpose is known, and it is used to model the usage for sanitation water heating as separate from the usage for heating. In this model the amount of energy which is used to keep the system working (active standby mode) is taken into account as well. The now available empirical data for the whole heating season have been used to estimate the parameter values for this model on the one hand and validation on the other hand.

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An Analytical Model for Mathematical Analysis of Smart Daily Energy Management for Air to Water Heat Pumps

Cited by 7 publications

References 11 publications

Agent-Based Analysis of Annual Energy Usages for Domestic Heating based on a Heat Pump

Agent-Based Analysis of Annual Energy Usages for Domestic Heating based on a Heat Pump

Mathematical Thermal Modelling of a Direct-Expansion Solar-Assisted Heat Pump Using Multi-Objective Optimization Based on the Energy Demand

Analysis of Electricity Usage for Domestic Heating Based on an Air-to-Water Heat Pump in a Real World Context

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