Stand Alone Photovoltaic Management System for ICTs Devices

Cáceres, María Navarro; Vera, Luis Horacio; Firman, Andrés; Busso, A.

doi:10.1109/tdc-la.2018.8511743

Cited by 2 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Photovoltaic solar technology is clean, quiet, and helps protect against climate change and pollution. Due to its abundant and renewable characteristics, PV solar power is also sustainable [3]. Thus, the major advantage of using PV solar technology includes its sources of energy that comes from solar power [4].…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Photovoltaic Solar Technology Usage Intention among Households in Malaysia: Model Integration and Empirical Validation

et al. 2021

View full text Add to dashboard Cite

The objective of this research is to identify the antecedents affecting the behavioural intentions of local housing residences in using photovoltaic (PV) solar technology in their houses. An integrated model of behavioural intention to use PV solar technology is tested in this research. This study combined the theory of reason action (TRA), technology acceptance model (TAM), theory of planned behaviour (TPB) and diffusion of innovation (DOI) theory. Additional factors, including cost, awareness, and government initiatives, are also included in this model. The proposed model findings are based on empirical data from a sample of 382 residences in Malaysia. This study postulates that the intent to use PV solar technology is predicted by trialability, compatibility, perceived ease of use, relative advantage, observability, perceived behavioural control, attitude, subjective norms, cost, government initiatives, and level of awareness towards photovoltaic technology. The integrated model achieves 54% variance explained for usage intention of PV solar technology among housing residences in Malaysia. The findings suggest an integrated model for the acceptance intention of PV solar technology, which can assist stakeholders in planning, evaluating, and executing PV solar technology.

show abstract

Section: Introductionmentioning

confidence: 99%

Factors Affecting Photovoltaic Solar Technology Usage Intention among Households in Malaysia: Model Integration and Empirical Validation

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Figure 4 shows the PCB of the MPPT and PCU controller and related auxiliary components section. The main controller is the Texas Instrument BQ24650 charger evaluation module [38]. This was selected for the variety of features that it possesses, including determining and tracking the maximum power point, controlling the charging current, and the wide range of input voltage from 5 V to 28 V. The basis on which the BQ24650 senses the MPP is a voltage divider (Potentiometer) using the MPPSET pin, which is 1.2 V when MPPT is achieved.…”

Section: Hardware Designmentioning

confidence: 99%

Enhancing Virtual Real-Time Monitoring of Photovoltaic Power Systems Based on the Internet of Things

Boubakr

Farhan

et al. 2022

Electronics

View full text Add to dashboard Cite

Solar power systems have been growing globally to replace fossil fuel-based energy and reduce greenhouse gases (GHG). In addition to panel efficiency deterioration and contamination, the produced power of photovoltaic (PV) systems is intermittent due to the dependency on weather conditions, causing reliability and resiliency issues. Monitoring system parameters can help in predicting faults in time for corrective action to be taken or preventive maintenance to be applied. However, classical monitoring approaches have two main problems: neither local nor centralized monitoring support distributed PV power systems nor provide remote access capability. Therefore, this paper presents an appraisal of a remote monitoring system of PV power generation stations by utilizing the Internet of Things (IoT) and a state-of-the-art tool for virtual supervision. The proposed system allows real-time measurements of all PV system parameters, including surrounding weather conditions, which are then available at the remote control center to check and track the PV power system. The proposed technique is composed of a set of cost-effective devices and algorithms, including a PV power conditioning unit (PCU); a sensor board for measuring the variables that influence PV energy production such as irradiance and temperature, using a communication module based on Wi-Fi for data transmission; and a maximum power point tracking (MPPT) controller for enhancing the efficiency of the PV system. For validating the proposed system, different common scenarios of PV panel conditions including different shading circumstances were considered. The results show that accurate, real-time monitoring with remote access capabilities can provide timely information for predicting and diagnosing the system condition to ensure continued stable power generation and management.

show abstract

Stand Alone Photovoltaic Management System for ICTs Devices

Cited by 2 publications

References 3 publications

Factors Affecting Photovoltaic Solar Technology Usage Intention among Households in Malaysia: Model Integration and Empirical Validation

Factors Affecting Photovoltaic Solar Technology Usage Intention among Households in Malaysia: Model Integration and Empirical Validation

Enhancing Virtual Real-Time Monitoring of Photovoltaic Power Systems Based on the Internet of Things

Contact Info

Product

Resources

About