Abstract

In this paper is presented the physical model and mathematical approach which describe the equation system used in system calibration and design optimization. The system proposed for study is built from heat pump, for energy demand delivery, together with auxiliary heating source to face in all low temperature days, when heat pump work at maximum load but the required demand for daily hot water by the building inhabitants is higher. The paper present few of the common used systems in market for which the mathematical equation system will be proposed to come in help designers for in simulation and cost optimization. Simulation of proposed design is realized and results are delivered. The system construction, is optimized by comparison study of design and simulation data for each system type proposed. The comparison study is used for cost estimation of system and energy balance.

Highlights

  • Hot water for building sector, residential and commercial, is in all cases a demand to respect in design

  • Optimisation techniques for designing and equipment selection purpose, is in general based on heating demand and dynamic modelling of real functioning with specific tools

  • Refrigerant absorption heat pumps is a key equipment in hybrid systems for DHW production [10,11,12,13], with his capacity to use the heat from another environment and store it, ore deliver it, at other temperatures, to be used in heating of the water

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Summary

Introduction

Hot water for building sector, residential and commercial, is in all cases a demand to respect in design. Air source heat pumps (ASHPs) are generally a selected solution in different type of heating/cooling applications. Underground water source heat pump [21] is studied to investigate energy efficiency and performance level by comparison of two different types of underground WSHPs. A big influence in energy consumption, consist in user profile. Research reveal a proper control of Legionella apparition is done when hot water temperature is at least 55 ̊C with a minimum acceptance value of 50 ̊C [23] This conclusion was obtained over a statistical analyse over a period of 8 years. Electrical power of compressor is a user profile dependant and for purposed models to be study, an energy ratio between heat pump energy delivered and total energy demand. Different user hot water volume demand and different energy ratio will be varied to establish the proper value of electrical power for the compressor. For a real optimisation the temperatures of external air and water source will be varied to establish the interdependency of them and energy ratio

Mathematical model
Simulation results
Case study
Findings
Conclusions

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