Adaptive photovoltaic solar module based on internet of things and web-based monitoring system

<span>This paper presents an intelligent of single axis automatic adaptive photovoltaic solar module. A static solar panel has an issue of efficiency on shading effects, irradiance of sunlight absorbed, and less power generates. This aims to design an effective algorithm tracking system and a prototype automatic adaptive solar photovoltaic (PV) module connected through </span><span>internet of things (IoT). The system has successfully designated on solving efficiency optimization. A tracking system by using active method orientation and allows more power and energy are captured. The solar rotation angle facing aligned to the light-dependent resistor (LDR) voltage captured and high solar panel voltage measured by using Arduino microcontroller. Real-time data is collected from the dynamic solar panel, published on Node-Red webpage, and running interactive via android device. The system has significantly reduced time. Data captured by the solar panel then analyzed based on irradiance, voltage, current, power generated and efficiency. Successful results present a live data analytic platform with active tracking system that achieved larger power generated and efficiency of solar panel compared to a fixed mounted array. This research is significant that can help the user to monitor parameters collected by the solar panel thus able to increase 51.82% efficiency of the PV module.</span>

Renewable Energy Transition Strategy for PT.CI to Reduce 50% Emission by 2030

The global and Indonesia energy trend is heading to process of transitioning from fossil fuel to renewable energy (decarbonization) in the purpose of reducing Green House Gas (GHG) effects. Industries as one of the biggest contributors of emission generator expected to participate in this effort, where fuel and electricity play significant roles in running the operation. Many businesses try to participate and state their commitment on this energy transition initiative by increasing the portion of renewable energy within their operation. Meanwhile, business have several uncertainties’ on how the renewable energy will be acquired and will this renewable energy options be available at the time they need it. Campur Plc. (CP) through its subsidiary in Indonesia, PT. Campur Ilmiah (PT. CI) has targeted the entity to reduce 50% of the emission by 2030 with the baseline of 2018, which align with corporate target of 46.2% of emission reduction globally. Uncertainties on achieving this target generated from external and internal factors, and not to forget how to sustainably maintain the achievement. The location of PT.CI in industrial estate need to be considered as limitation because the power and energy supply are regulated. The accessibility, availability and affordability of renewable energy are expected to be handled by the government, industrial estate or other third party in energy business, but the phasing and the achievement up to now has not shown a promising progress. As a business, PT.CI need to have a strategic planning on this energy transition to support the global target as well as shown a positive investment climate in Indonesia. There are four (4) scenarios has been developed and each of the scenarios are explored to identify alternative and possible strategies to still be able achieving the target and how the organization manage these changes. As the conclusion of this research, four (4) strategic imperatives are defined. This research also might be use as the reference of future planning for the similar industries that have the similar target and type of energy mix.

Available Technologies and Commercial Devices to Harvest Energy by Human Trampling in Smart Flooring Systems: A Review

Technological innovation has increased the global demand for electrical power and energy. Accordingly, energy harvesting has become a research area of primary interest for the scientific community and companies because it constitutes a sustainable way to collect energy from various sources. In particular, kinetic energy generated from human walking or vehicle movements on smart energy floors represents a promising research topic. This paper aims to analyze the state-of-art of smart energy harvesting floors to determine the best solution to feed a lighting system and charging columns. In particular, the fundamentals of the main harvesting mechanisms applicable in this field (i.e., piezoelectric, electromagnetic, triboelectric, and relative hybrids) are discussed. Moreover, an overview of scientific works related to energy harvesting floors is presented, focusing on the architectures of the developed tiles, the transduction mechanism, and the output performances. Finally, a survey of the commercial energy harvesting floors proposed by companies and startups is reported. From the carried-out analysis, we concluded that the piezoelectric transduction mechanism represents the optimal solution for designing smart energy floors, given their compactness, high efficiency, and absence of moving parts.

Development of IoT-Based Lighting Installation Practicum Module

With the advancement of technology today, there is known to be an innovation that is the internet of things where electronic devices can be monitored and controlled remotely. For this reason, the practicum module of internet of things-based lighting installation as a medium of learning for students. The workings of the tool will be made using the PZEM-004T sensor as a sensor reading the current voltage, power, and energy used and ESP-32 as an additional module on the Arduino Mega so that data reading voltage, current and power can be sent using the internet network to the smartphone. In the smartphone application, we can also control to extinguish or turn on the lights.

POSIT vs. Floating Point in Implementing IIR Notch Filter by Enhancing Radix-4 Modified Booth Multiplier

The increased demand for better accuracy and precision and wider data size has strained current the floating point system and motivated the development of the POSIT system. The POSIT system supports flexible formats and tapered precision and provides equivalent accuracy with fewer bits. This paper examines the POSIT and floating point systems, comparing the performance of 32-bit POSIT and 32-bit floating point systems using IIR notch filter implementation. Given that the bulk of the calculations in the filter are multiplication operations, an Enhanced Radix-4 Modified Booth Multiplier (ERMBM) is implemented to increase the calculation speed and efficiency. ERMBM enhances area, speed, power, and energy compared to the POSIT regular multiplier by 26.80%, 51.97%, 0.54%, and 52.22%, respectively, without affecting the accuracy. Moreover, the Taylor series technique is adopted to implement the division operation along with cosine arithmetic unit for POSIT numbers. After comparing POSIT with floating point, the accuracy of POSIT is 92.31%, which is better than floating point’s accuracy of 23.08%. Moreover, POSIT reduces area by 21.77% while increasing the delay. However, when the ERMBM is utilized instead of the POSIT regular multiplier in implementing the filter, POSIT outperforms floating point in all the performance metrics including area, speed, power, and energy by 35.68%, 20.66%, 31.49%, and 45.64%, respectively.