Operational performance of on-grid solar photovoltaic system integrated into pre-fabricated portable cabin buildings in warm and temperate climates

Kumar, Nallapaneni Manoj; Yadav, Satish Kumar; Chopra, Shauhrat S.; Bajpai, Usha; Gupta, Radha; Padmanaban, Sanjeevikumar; Blaabjerg, Frede

doi:10.1016/j.esd.2020.05.008

Cited by 45 publications

(18 citation statements)

References 43 publications

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“…At present, we see different types of SPVPP, e.g., rooftop, roof-integrated, building integrated, building attached, floating solar, etc. [57][58][59][60]. More or less, all these types of solar PV plants are capable of meeting the electricity loads with varying range and type from domestic to industrial.…”

Section: Solar Photovoltaic Power Plantsmentioning

confidence: 99%

“…PV is perhaps the most flexible of all the power generating technologies among the renewables. It is also easy to install with a minimal running cost, and, while its operation, the noise levels are almost negligible except for the buzzing sound of the electrical equipment [59]. On the other side, PV power plants are considered to be environmentally-friendly.…”

Section: Solar Photovoltaic Power Plantsmentioning

confidence: 99%

“…PV technology is mature. It is still growing, and day by day, many advancements are seen in terms of power conversion efficiency and flexible design of the solar cells that are apt for installation onto any surface of new applications [57][58][59][60]. Most recently, the use of PV technology for distributed power generation is given high priority.…”

Section: Solar Photovoltaic Power Plantsmentioning

confidence: 99%

“…This serves to mitigate the intermittent nature of RE and provide the needed stability for the SG. The fallen price of solar PV, battery for EV, and the developments seen in an electric grid can absorb many intermittent renewables, which is expected to enhance EV adoption [59,84]. The EV technology can even be extended to serve as an electrical source or sink with bi-directional charging ability in which it can be charged and discharged between vehicle and home (V2H), vehicle and building (V2B), providing electric power for the home, building, and to the grid and from home by building a charging point to EV [97][98][99][100].…”

Section: Electric Vehicles As a Load Component In A Smart Gridmentioning

confidence: 99%

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Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids

et al. 2020

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Smart grid (SG), an evolving concept in the modern power infrastructure, enables the two-way flow of electricity and data between the peers within the electricity system networks (ESN) and its clusters. The self-healing capabilities of SG allow the peers to become active partakers in ESN. In general, the SG is intended to replace the fossil fuel-rich conventional grid with the distributed energy resources (DER) and pools numerous existing and emerging know-hows like information and digital communications technologies together to manage countless operations. With this, the SG will able to “detect, react, and pro-act” to changes in usage and address multiple issues, thereby ensuring timely grid operations. However, the “detect, react, and pro-act” features in DER-based SG can only be accomplished at the fullest level with the use of technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and the Blockchain (BC). The techniques associated with AI include fuzzy logic, knowledge-based systems, and neural networks. They have brought advances in controlling DER-based SG. The IoT and BC have also enabled various services like data sensing, data storage, secured, transparent, and traceable digital transactions among ESN peers and its clusters. These promising technologies have gone through fast technological evolution in the past decade, and their applications have increased rapidly in ESN. Hence, this study discusses the SG and applications of AI, IoT, and BC. First, a comprehensive survey of the DER, power electronics components and their control, electric vehicles (EVs) as load components, and communication and cybersecurity issues are carried out. Second, the role played by AI-based analytics, IoT components along with energy internet architecture, and the BC assistance in improving SG services are thoroughly discussed. This study revealed that AI, IoT, and BC provide automated services to peers by monitoring real-time information about the ESN, thereby enhancing reliability, availability, resilience, stability, security, and sustainability.

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Section: Solar Photovoltaic Power Plantsmentioning

confidence: 99%

Section: Solar Photovoltaic Power Plantsmentioning

confidence: 99%

Section: Solar Photovoltaic Power Plantsmentioning

confidence: 99%

Section: Electric Vehicles As a Load Component In A Smart Gridmentioning

confidence: 99%

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Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids

et al. 2020

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“…Incorporating the major parameters influencing PV performance in optimising the installation configuration is of great importance. The effects of irradiance and temperature on PV performance have been widely studied (Kumar et al 2020). However, these studies mainly concentrated on analysing the effects of these parameters on PV performance (Dubey et al 2013).…”

Section: Introductionmentioning

confidence: 99%

A Numerical Modelling Approach to Optimising Photovoltaic Installations for Thermal Effects Mitigation

Chiteka

Madiye

Chingosho

et al. 2021

Preprint

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Solar energy presents one of the best alternative sources of energy in the current bid to mitigate the negative impacts of global warming. The present study evaluated the influence of installation configuration together with the meteorological parameters on temperature characteristics of a solar photovoltaic array. Three dimensional simulation using Computational Fluid Dynamics was used in the numerical analysis of the temperature characteristics on solar PV arrays. The Shear Stress Transport k-ω model was employed to analyse the turbulent characteristics of the airstream near the photovoltaic array. A temperature prediction model was developed using Artificial Neural Networks and the model was found to be accurate with a coefficient of determination, R2 above 90 %. A Response Surface Methodology optimization model was developed to maximize energy generation while minimizing solar photovoltaic cell operating temperature. The models were able to reduce temperature and improve energy generated by 3.9 %. The optimized tilt and azimuth angles were found to be 28.2o tilt and 13.2o respectively yielding an average cell temperature of 29.3 oC which gave 3.9 % increase in energy and revenue generated.

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Quantitative impact assessment of temperature on the economics of a rooftop solar photovoltaic system

Yadav

Kumar

Bajpai

2022

Environ Sci Pollut Res

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Operational performance of on-grid solar photovoltaic system integrated into pre-fabricated portable cabin buildings in warm and temperate climates

Cited by 45 publications

References 43 publications

Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids

Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids

A Numerical Modelling Approach to Optimising Photovoltaic Installations for Thermal Effects Mitigation

Quantitative impact assessment of temperature on the economics of a rooftop solar photovoltaic system

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