摘要
The objective of this work is to reduce energy costs for a consumer with multiple available energy resources and with an energy storage system. To achieve this, it is developed a methodology with a multi-criterio</span></span><span><span><span style="font-family:"">n</span></span></span><span><span><span style="font-family:""> analysis that considers the demand side, the real-time prices, and the availability of the energy resources. In other words, the developed methodology manages the multi-source system, allowing savings for a consumer. In addition to the presentation of the methodology, it is made an application in a case study. It is considered and modeled a real consumer that has three different energy resources, including energy storage by battery. The situation comprehends solar generation, diesel generator and the electrical power grid. There are simulations and </span></span></span><span><span><span style="font-family:"">the</span></span></span><span><span><span style="font-family:""> results comprehend the savings for this consumer, considering the methodology application. The main result is a reduction in energy costs by 33</span></span></span><span><span><span style="font-family:"">.</span></span></span><span><span><span style="font-family:"">3%, considering the situation without this methodology. For the purpose of indicating the use of the storage system, it is presented the battery’s state of charge along the simulation. Also, there is a verification of the methodology’s robustness, through another simulation, using theo</span></span></span><span><span><span style="font-family:"">ret</span></span></span><span><span><span style="font-family:"">ical data for the consumer. In this case, the consumer has energy storage system, solar generation, biogas generator and the electrical power grid. In this situation, there is a reduction in energy costs by 30</span></span></span><span><span><span style="font-family:"">.</span></span></span><span><span><span style="font-family:"">2%, considering the situation without this methodology. In conclusion, the results show that the developed methodology is effective. In the two case studies presented there </span></span></span><span><span><span style="font-family:"">are</span></span></span><span><span><span style="font-family:""> significant savings for the consumer.
The objective of this work is to reduce energy costs for a consumer with multiple available energy resources and with an energy storage system. To achieve this, it is developed a methodology with a multi-criterio</span></span><span><span><span style="font-family:"">n</span></span></span><span><span><span style="font-family:""> analysis that considers the demand side, the real-time prices, and the availability of the energy resources. In other words, the developed methodology manages the multi-source system, allowing savings for a consumer. In addition to the presentation of the methodology, it is made an application in a case study. It is considered and modeled a real consumer that has three different energy resources, including energy storage by battery. The situation comprehends solar generation, diesel generator and the electrical power grid. There are simulations and </span></span></span><span><span><span style="font-family:"">the</span></span></span><span><span><span style="font-family:""> results comprehend the savings for this consumer, considering the methodology application. The main result is a reduction in energy costs by 33</span></span></span><span><span><span style="font-family:"">.</span></span></span><span><span><span style="font-family:"">3%, considering the situation without this methodology. For the purpose of indicating the use of the storage system, it is presented the battery’s state of charge along the simulation. Also, there is a verification of the methodology’s robustness, through another simulation, using theo</span></span></span><span><span><span style="font-family:"">ret</span></span></span><span><span><span style="font-family:"">ical data for the consumer. In this case, the consumer has energy storage system, solar generation, biogas generator and the electrical power grid. In this situation, there is a reduction in energy costs by 30</span></span></span><span><span><span style="font-family:"">.</span></span></span><span><span><span style="font-family:"">2%, considering the situation without this methodology. In conclusion, the results show that the developed methodology is effective. In the two case studies presented there </span></span></span><span><span><span style="font-family:"">are</span></span></span><span><span><span style="font-family:""> significant savings for the consumer.