Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia

Research Article

A Prototype of Oufall Temperature Monitoring at Steam Power Plant Using Blynk Application

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  • @INPROCEEDINGS{10.4108/eai.27-11-2021.2315638,
        author={Marina  Artiyasa and Muhamad  Shobirin and Kwarta Okta  Fidiyanto and Yogi  Listiarga},
        title={A Prototype of Oufall Temperature Monitoring at Steam Power Plant Using Blynk Application},
        proceedings={Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia},
        publisher={EAI},
        proceedings_a={ICONVET},
        year={2022},
        month={2},
        keywords={steam power plant outfall temperature internet of things nodemcu esp8266 ds18b20 blynk},
        doi={10.4108/eai.27-11-2021.2315638}
    }
    
  • Marina Artiyasa
    Muhamad Shobirin
    Kwarta Okta Fidiyanto
    Yogi Listiarga
    Year: 2022
    A Prototype of Oufall Temperature Monitoring at Steam Power Plant Using Blynk Application
    ICONVET
    EAI
    DOI: 10.4108/eai.27-11-2021.2315638
Marina Artiyasa1,*, Muhamad Shobirin1, Kwarta Okta Fidiyanto1, Yogi Listiarga1
  • 1: Nusa Putra University
*Contact email: marina@nusaputra.ac.id

Abstract

A Steam Power Plant is a power plant that produces a considerable amount of heat energy. Therefore, a power plant must have a device that serves as a coolant or commonly called a colling system. Colling systems can be sourced from several media; one media commonly used in seawater. However, the continuous use of seawater as a media colling system in this power plant can negatively impact if the colling system's water output has a hot temperature above the provisions. This will disrupt marine life around the colling system's water dump or commonly called downstream canals. This problem has been anticipated since the beginning of the establishment of the Steam Power Plant, namely by making a long and winding canal path so that the water temperature of the colling system output can drop to adjust the temperature of seawater. However, this method was not equipped with the device to monitor the water temperature downstream of the canal compared to the temperature sensor in the condenser outlet. A technology based on the Internet of Things (IoT) was designed with this problem. Microcontroller Nodemcu ESP 8266 as the primary internet-connected device and DS18B20 temperature sensor used to measure water temperature downstream of the canal. The data received by the microcontroller will be transmitted to the blynk application continuously through an internet connection.