Performance Evaluation and Prediction of BIPV Systems under Partial Shading Conditions Using Normalized Efficiency

Lee, Chul-sung; Lee, Hyomun; Choi, Minjoo; Yoon, Jong-Ho

doi:10.3390/en12193777

Cited by 5 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Shading and obstructions pose considerable challenges to the efficiency of BIPV systems [122]. When a portion of the BIPV system is shaded, it can diminish the overall output, as shaded cells become akin to resistors, reducing system performance, a phenomenon known as the "Christmas light effect" [122]. Additionally, obstructions like trees, buildings, or other structures can exacerbate shading issues, compromising BIPV system efficiency.…”

Section: Building-integrated Photovoltaics (Bipv)mentioning

confidence: 99%

Breaking Boundaries in Wind Engineering: LSU WISE Open-Jet Facility Revolutionizes Solar Panel and Building Design

Aly

2023

Applied Sciences

View full text Add to dashboard Cite

Experimental wind engineering is crucial for global structural design. This paper addresses limitations in aerodynamic testing, particularly in wall-bounded and small-scale scenarios. Open-jet testing, introduced as an advanced tool, overcomes turbulence modelling constraints, providing a more accurate representation of real-world conditions. The LSU WISE open-jet facility produces complete turbulence at a large scale, eliminating the need for corrections accompanied by partial turbulence simulation. This discovery holds significant implications in wind engineering and unsteady aerodynamics. Integrating photovoltaic panels with gable-roofed buildings may not require additional structural reinforcement, with a reduction in wind uplift forces by 45–63%. Building-integrated photovoltaics (BIPV) offer design flexibility and aesthetic appeal despite potential higher upfront costs. Strategic interventions, such as design optimization and cost-effective installation methods, can enhance the economic viability of BIPV systems. Contrary to long-held beliefs, the findings challenge the notion that wind loads on structures with sharp corners are insensitive to Reynolds number. Open-jet testing produces higher peak pressures, providing real-world justification for actual damage in high-rise buildings. These results validate the author’s hypothesis regarding the underestimation of peak loads (in small-scale testing) leading to cladding failure in high-rise buildings. They emphasize the superiority of large-scale open-jet testing, underscoring its critical role in designing resilient structures. The LSU WISE open-jet facility’s unique capabilities hold immense promise for revolutionizing wind engineering, addressing grand challenges, and creating more resilient and sustainable infrastructure. Its applications span critical infrastructure, promising significant economic, societal, and educational impacts in STEM fields.

show abstract

Section: Building-integrated Photovoltaics (Bipv)mentioning

confidence: 99%

Breaking Boundaries in Wind Engineering: LSU WISE Open-Jet Facility Revolutionizes Solar Panel and Building Design

Aly

2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…An important and well-known issue concerning the performance of the BIPV system is that the PV cell temperatures inevitably increase during the process of generating electricity from solar energy [9]. The BIPV modules are scarcely cooled as they are installed on the building envelope; thus, the increased cell temperature decreases the overall efficiency of the BIPV system [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data

Park

Eom³

et al. 2020

Energies

View full text Add to dashboard Cite

Installing renewable energy systems for zero-energy buildings has become increasingly common; building integrated photovoltaic (BIPV) systems, which integrate PV modules into the building envelope, are being widely selected as renewable systems. In particular, owing to the rapid growth of information and communication technology, the requirement for appropriate operation and control of energy systems has become an important issue. To meet these requirements, a computational model is essential; however, some unmeasurable parameters can result in inaccurate results. This work proposes a calibration method for unknown parameters of a well-known BIPV model based on in situ test data measured over eight days; this parameter calibration was conducted via an optimization algorithm. The unknown parameters were set such that the results obtained from the BIPV simulation model are similar to the in situ measurement data. Results of the calibrated model indicated a root mean square error (RMSE) of 3.39 °C and 0.26 kW in the BIPV cell temperature and total power production, respectively, whereas the noncalibrated model, which used typical default values for unknown parameters, showed an RMSE of 6.92 °C and 0.44 kW for the same outputs. This calibration performance was quantified using measuring data from the first four days; the error increased slightly when data from the remaining four days were compared for the model tests.

show abstract

“…The data available allow to compute a performance index which is crucial for further analyses: the Performance Ratio (PR), which allows to compare the performance of PV facilities with different configurations and geographical location [21]. PR represents the overall effect of losses on the array's rated output, due to array temperature, incomplete utilization of the irradiation (soiling and shading losses) and system component inefficiencies and failures [22]:…”

mentioning

confidence: 99%

Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods

Nespoli

Matteri

Pretto³

et al. 2021

Forecasting

View full text Add to dashboard Cite

The increasing penetration of Renewable Energy Sources (RESs) in the energy mix is determining an energy scenario characterized by decentralized power production. Between RESs power generation technologies, solar PhotoVoltaic (PV) systems constitute a very promising option, but their production is not programmable due to the intermittent nature of solar energy. The coupling between a PV facility and a Battery Energy Storage System (BESS) allows to achieve a greater flexibility in power generation. However, the design phase of a PV+BESS hybrid plant is challenging due to the large number of possible configurations. The present paper proposes a preliminary procedure aimed at predicting a family of batteries which is suitable to be coupled with a given PV plant configuration. The proposed procedure is applied to new hypothetical plants built to fulfill the energy requirements of a commercial and an industrial load. The energy produced by the PV system is estimated on the basis of a performance analysis carried out on similar real plants. The battery operations are established through two decision-tree-like structures regulating charge and discharge respectively. Finally, an unsupervised clustering is applied to all the possible PV+BESS configurations in order to identify the family of feasible solutions.

show abstract

Performance Evaluation and Prediction of BIPV Systems under Partial Shading Conditions Using Normalized Efficiency

Cited by 5 publications

References 25 publications

Breaking Boundaries in Wind Engineering: LSU WISE Open-Jet Facility Revolutionizes Solar Panel and Building Design

Breaking Boundaries in Wind Engineering: LSU WISE Open-Jet Facility Revolutionizes Solar Panel and Building Design

Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data

Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods

Contact Info

Product

Resources

About