Potential impact of energy cost optimization for electrical floor heating systems under day ahead spot electricity prices and user set comfort levels
نویسنده
چکیده
In this article the potential of cost optimization for electrical floor heating systems is studied. Model Predictive Control (MPC) based optimization method is used to optimize energy costs of electric floor heating while taking into account user set temperature restrictions (comfort levels) and dynamic day ahead electricity spot prices. The aim of this paper is to find what effect does MPC optimization have to the expenditure costs of direct electric floor heating systems. MPC is optimized according to the dynamic electricity prices and user temperature restrictions. This means that optimization problem is solved by taking into account hourly electricity price fluctuations which can mean that power consumption is shifted off from peak price hours to low price hours while taking into account all the restrictions, including user comfort. Data collected from different heating systems is used to run simulations for heating scenarios, including base scenario and several optimized scenarios. Data sets from quarter one 2016 to quarter two 2017 are used for the simulations. The obtained results are compared and total cost savings in a year are calculated. Key–Words: Electric floor heating expenditure cost optimization; Day ahead electricity spot prices; June 29, 2017
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