Characterization of solar flat plate collectors

Cruz-Peragón, Fernando; Palomar, J.M.; Casanova, P.J.; Dorado, M.P.; Manzano‐Agugliaro, Francisco

doi:10.1016/j.rser.2011.11.025

Cited by 63 publications

(19 citation statements)

References 39 publications

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“…The commercial ANSYS FLUENT software was used to solve numerically the fluid flow, heat transfer, and radiation equations. Results were validated with the experimental data reported by Cruz-Peragon et al [15].…”

Section: Introductionsupporting

confidence: 71%

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Numerical Analysis of Heat Transfer Performance of Flat Plate Solar Collectors

Ekramian¹,

Etemad²,

Haghshenasfard³

2014

JFFHMT

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Section: Introductionsupporting

confidence: 71%

“…Numerical results were verified with the experimental data reported by Cruz-Peragon et al [15]. For this case, the solar collector involves 15 Based on flow distribution in the risers given in Cruz-Peragon et al [15], the flow rate percentage in the riser 1 is 4.65%.…”

Section: Validation Of the Cfd Modelsupporting

confidence: 60%

Numerical Analysis of Heat Transfer Performance of Flat Plate Solar Collectors

Ekramian¹,

Etemad²,

Haghshenasfard³

2014

JFFHMT

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“…Because of this, both developed and developing countries are becoming increasingly more interested in using pollution free, cost effective and renewable sources of energy [2]. As a renewable and alternative energy, wind is the most common and fastest-growing source of energy in the world [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications

2014

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Abstract:The best Weibull distribution methods for the assessment of wind energy potential at different altitudes in desired locations are statistically diagnosed in this study. Seven different methods, namely graphical method (GM), method of moments (MOM), standard deviation method (STDM), maximum likelihood method (MLM), power density method (PDM), modified maximum likelihood method (MMLM) and equivalent energy method (EEM) were used to estimate the Weibull parameters and six statistical tools, namely relative percentage of error, root mean square error (RMSE), mean percentage of error, mean absolute percentage of error, chi-square error and analysis of variance were used to precisely rank the methods. The statistical fittings of the measured and calculated wind speed data are assessed for justifying the performance of the methods. The capacity factor and total energy generated by a small model wind turbine is calculated by numerical integration using Trapezoidal sums and Simpson's rules. The results show that MOM and MLM are the most efficient methods for determining the value of k and c to fit Weibull distribution curves.

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“…This gives an indication of the level of effort and change, both structural and social, which will be required to reach the necessary emissions reduction. Together with supply-side policies aimed to promote the shift from fossil fuels to renewable energy sources [6], there is a growing trend for policy initiatives that focus on improving energy efficiency in an attempt to reduce energy demand and decouple it from the economic growth [7,8].…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Defining Electricity Demand in Energy Simulations Referred to the Italian Context

2013

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Electricity consumption in Europe is constantly increasing, despite the fact that in recent years, huge efforts in terms of programs and regulations have been made towards energy demand reduction and energy systems improvement. Since the electricity demand affects both the operation of the supply and distribution plants and the thermal loads of buildings, the importance of providing a proper definition of demand profiles is evident. The main aim of the paper is to provide a set of standard electricity profiles that can reasonably be adopted as input in energy simulations related to the built environment, with particular regards to the Italian context. The work presented in this paper originated within a wider long lasting research aimed at developing a platform for buildings' energy simulations at district level, with particular reference to the Italian conditions. In this context, it was necessary to define hourly profiles regarding both occupancy and electricity use for lighting and appliances related to different building uses and typologies. For this purpose, the main methods and references for defining electricity loads in buildings were evaluated and average hourly profiles were accordingly developed for residential and commercial buildings. Then the related internal gains were determined and compared to the current Italian standards.

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Characterization of solar flat plate collectors

Cited by 63 publications

References 39 publications

Numerical Analysis of Heat Transfer Performance of Flat Plate Solar Collectors

Numerical Analysis of Heat Transfer Performance of Flat Plate Solar Collectors

Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications

A Methodology for Defining Electricity Demand in Energy Simulations Referred to the Italian Context

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