Energetic and economic performance analyses of photovoltaic, parabolic trough collector and wind energy systems for Multan, Pakistan

Sadati, S. M. Sajed; Qureshi, Fassahat Ullah; Baker, Derek K.

doi:10.1016/j.rser.2015.03.084

Cited by 30 publications

(12 citation statements)

References 26 publications

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“…Wind velocity was measured at 30, 40, 50 and 60 m above the ground using wind sensors (Thies-Germany). The wind velocity was then corrected to find the velocity, 15 cm above the pond surface using Johnson (1999), Sadati et al (2015).…”

Section: Methodsmentioning

confidence: 99%

Key factors impacting performance of a salinity gradient solar pond exposed to Mediterranean climate

et al. 2017

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a b s t r a c t Solar ponds are low cost pools of brine solutions with integrated storage zones that harvest incident solar energy and store it as thermal energy. The current study examined the performance of a salinity gradient solar pond under the Mediterranean climatic condition for ten consecutive months of operation, from October 8, 2014 to July 31, 2015. The presented results are based on the experimental data of a smallscale circular pond, 61 cm in diameter a height of 55 cm, constructed and operated at Middle East Technical University, Northern Cyprus Campus (METUNCC). The study showed the necessity of regular surface washing and having excess undissolved salt at the lower convective zone (LCZ) to maintain the pond stability. The variations in the temperature of the non-convective (NCZ) and lower convective zones (LCZ) are found to be a function of both ambient temperature and solar irradiation (insolation). The variation of the overall pond's temperature strongly follows the changes in ambient temperature while solar insolation directly affects the increase in temperature gradient by depth. During the period of this study, the pond reached the highest average temperature of 48°C in July 2015 while the average ambient temperature for this month was 30°C.

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Section: Methodsmentioning

confidence: 99%

Key factors impacting performance of a salinity gradient solar pond exposed to Mediterranean climate

et al. 2017

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“…For each snow or ice event, the temperature, wind speed, and snowfall rate are applied to the model to calculate the power demand of the system to melt the snow. Since the wind speed data available in the TMY dataset are for a height of 10 m above ground level, from those values, wind speed values at 0.5 m above ground level were calculated based on the methodology presented by Qin and Hiller [65] and Sadati et al [66]. Using this method the wind speed 1 at height ℎ 1 is related to the wind speed 2 at a height ℎ 2 using Eq.…”

Section: Typical Weather Conditions At Dsmmentioning

confidence: 99%

“…ii) limited availability of resources [66,69]. Renewable resources are currently considered as a feasible alternative to fossil fuel-based resources [70].…”

Section: Use Of Renewable Energy Sources To Power Econ Hpsmentioning

confidence: 99%

Energy and thermal performance evaluation of an automated snow and ice removal system at airports using numerical modeling and field measurements

Sadati

Cetin

Ceylan

et al. 2018

Sustainable Cities and Society

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“…The thermal analysis of a PTC, based on a nanofluid, was carried out using a hybrid algorithm by Zadeh et al They used a combination of two GA and SQP algorithms for optimization. An analysis was carried out on exergetic and economic performance of photovoltaic, PTC, and wind power, by Sadati et al In 2016, thermodynamic analysis and optimization of the combined cycle of Rankine power and nanofluid‐based PTC were presented by Toghyani et al Abid et al accomplished the energy and exergy analysis to compare the parabolic dish and the parabolic through collector and the using nanofluid and molten salt. The results obtained show that the outlet temperature of the PD solar collector is higher in comparison to PT solar collector under identical operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Exergoeconomic optimization and sensitivity analysis of a commercial parabolic trough collector for the climate of Tehran, Iran

Hoseinzadeh

Kasaeian

Shafii

2019

Energy Science & Engineering

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The exergoeconomic analysis is a powerful tool to study an energy system and provide rational decision‐making for it. This paper is aimed at exergoeconomic optimization and sensitivity analysis evaluation of the results of a commercial parabolic trough collector (PTC). First, an analysis of optical, thermal, exergy, and economic equations of the PTC system is presented. Then, the objective function and variables are optimized through MATLAB software using the hybrid algorithm code. The objective function as the exergy loss rate is a combination of exergy loss and system cost. The evaluation of the results has been carried out considering the radiation intensity in different months of the year for Tehran, Iran. The commercial parabolic trough solar collector has been selected as the case study. Sensitivity analysis of exergy loss rate and exergy efficiency was conducted for important variables, namely collector length, the glass cover diameter, the outer diameter of absorber tube, the inner diameter of absorber, the fluid inlet temperature, the receiver aperture width, and fluid flow rate. The obtained results show that the exergy loss rate is 0.1905 kW/$, and the exergy efficiency is equal to 15.2% for the highest direct solar radiation of 674 W/m2.

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Energetic and economic performance analyses of photovoltaic, parabolic trough collector and wind energy systems for Multan, Pakistan

Cited by 30 publications

References 26 publications

Key factors impacting performance of a salinity gradient solar pond exposed to Mediterranean climate

Key factors impacting performance of a salinity gradient solar pond exposed to Mediterranean climate

Energy and thermal performance evaluation of an automated snow and ice removal system at airports using numerical modeling and field measurements

Exergoeconomic optimization and sensitivity analysis of a commercial parabolic trough collector for the climate of Tehran, Iran

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