RANCANG BANGUN KOMPONEN UTAMA PLTS OFF-GRID UNTUK MENUNJANG OPERASI INCINERATOR SIPESAT®

To increase reliability of SIPESAT® Incinerator, off-grid solar powerplant was installed. The aim of this paper is to designing the requirement of the main equipment for the solar powerplant. 270 w, 3 autonomies days were used as the main parameter. GHI gathered from NASA’s data, VRLA battery type with MPPT inverter type was chosen to design the solar powerplant system. based on calculation results, the solar powerplant system need two solar panels 150watt each, and two VRLA battery 24V 200 Ah each,

Performance Analysis of VRLA Battery for DC Load at Telecommunication Base Station

The high level of power outage in Sukabumi-Cianjur area has influenced the operations of telecommunication industry in the vicinity. This has shortened the battery life at the Base Station (BTS). This study aims to analyze the performance of a (new) VRLA battery against a DC load (BTS) to support the continuity of BTS operation in case of a power outage. The research method used is a (new) battery charge-discharge procedure. Parameters are analyzed by determining the on-site battery discharge duration, the pressure at the battery terminals between cells during backup, and the capacity of the rectifier module to support fast charging. To support fast charging, the rectifier with the formula N+1 and C-rate is 10% and C15 is 15% of the battery capacity. The internal impedance value is 3.4 mΩ and the battery terminal pressure (torque) is 9-11 N/m. The battery performance analysis of the four BTS shows that two of them managed to do a backup, while the other two did not provide good performance.

Arduino-Based Battery Voltage Monitoring and SMS Gateway

This study aims to monitor the value of the voltage on the battery using a voltage sensor and using the State of Charge method to estimate the charged power of the VRLA battery remotely by utilizing SMS Gateway-based technology so that checking is no longer necessary. The results obtained are displayed on the smartphone in the form of an SMS. To determine the SOC in a 12V VRLA battery, it is calculated based on the number of each cell. VRLA 12V has 6 cells, each cell consisting of 2V to 2.4Volt. The capacity of a VRLA battery in 1 cell is declared 100% full at a voltage of 2.3 volts. So that data is obtained to determine the full percentage of the VRLA 12V 6 cell battery with a capacity of 7.2Ah, namely 13.8V. Experiments were carried out using solar panels, VRLA batteries, voltage sensors, Arduino UNO, and GSM SIM900A modules. This study succeeded in reading the measured voltage value with the sensor, and obtained an error value of 0.20 and a standard deviation of 0.02, and for the monitoring process to run smoothly without problems.

Design of the VRLA Battery Real-Time Monitoring System Based on Wireless Communication

The VRLA (valve-regulated lead-acid) battery is an important part of a direct current (DC) power system. In order to resolve issues of large volume, complicated wiring, and single function for a battery monitoring system at present, we propose to build a novel intelligent-health-monitoring system. The system is based on the ZigBee wireless communication module for collecting voltage, temperature, internal resistance, and battery current in real-time. A general packet radio service (GPRS) network is employed for interacting data with the cloud-monitoring platform. The system can predict the remaining capacity of the battery combined with the software algorithm for realizing real-time monitoring of the battery’s health status and fault-warning, providing a basis for ensuring the safe and reliable operation of the battery. In addition, the system effectively integrates most of the circuits of the battery status collector onto one chip, which greatly reduces the size and the power consumption of the collector and also provides a possibility for embedding each VRLA battery with a chip that can monitor the health status during the whole life. The test results indicate that the system has the characteristics of real-time monitoring, high precision, small-volume, and comprehensive functions.