scholarly journals Analysis of Nanofluids Behavior in Concentrated Solar Power Collectors with Organic Rankine Cycle

2019 ◽  
Vol 2 (3) ◽  
pp. 22 ◽  
Author(s):  
Samuel Sami

In this paper, the performance of nanofluids in a Parabolic Trough Concentrating Solar Collector (CSP)-based power generation plant, an Organic Rankine Cycle (ORC), and a Thermal Energy Storage (TES) system is studied. This study is intended to investigate the enhancement effect and characteristics of nanofluids Al2O3, CuO, Fe3O4 and SiO2 in integrated concentrating solar power (CSP) with ORC, and TES under different solar radiations, angles of incidence, and different nanofluid concentrations. The refrigerant mixture used in the ORC loop to enhance the ORC efficiency is an environmentally sound quaternary mixture composed of R134a, R245fa, R125, R236fa. The results showed that the power absorbed, and power collected by the CSP collector and thermal energy stored in the storage tank are enhanced with the increase of the solar radiation. It was also found that the CSP hybrid system efficiency has been enhanced mainly by the increase of the solar radiation and higher nanofluid concentrations over the thermal oil as base fluid. Also, the study concludes that the nanofluid CuO outperforms the other nanofluids—Al2O3, Fe3O4 and SiO2—and has the highest CSP solar collector performance compared to the other nanofluids and thermal oil base fluid under study at similar conditions. Finally, it was found that the model’s prediction compares fairly with data reported in the literature; however, some discrepancies exist between the model’s prediction and the experimental data.

Energies ◽  
2017 ◽  
Vol 11 (1) ◽  
pp. 37 ◽  
Author(s):  
Jose Rogada ◽  
Lourdes Barcia ◽  
Juan Martinez ◽  
Mario Menendez ◽  
Francisco de Cos Juez

Power plants producing energy through solar fields use a heat transfer fluid that lends itself to be influenced and changed by different variables. In solar power plants, a heat transfer fluid (HTF) is used to transfer the thermal energy of solar radiation through parabolic collectors to a water vapor Rankine cycle. In this way, a turbine is driven that produces electricity when coupled to an electric generator. These plants have a heat transfer system that converts the solar radiation into heat through a HTF, and transfers that thermal energy to the water vapor heat exchangers. The best possible performance in the Rankine cycle, and therefore in the thermal plant, is obtained when the HTF reaches its maximum temperature when leaving the solar field (SF). In addition, it is necessary that the HTF does not exceed its own maximum operating temperature, above which it degrades. The optimum temperature of the HTF is difficult to obtain, since the working conditions of the plant can change abruptly from moment to moment. Guaranteeing that this HTF operates at its optimal temperature to produce electricity through a Rankine cycle is a priority. The oil flowing through the solar field has the disadvantage of having a thermal limit. Therefore, this research focuses on trying to make sure that this fluid comes out of the solar field with the highest possible temperature. Modeling using data mining is revealed as an important tool for forecasting the performance of this kind of power plant. The purpose of this document is to provide a model that can be used to optimize the temperature control of the fluid without interfering with the normal operation of the plant. The results obtained with this model should be necessarily contrasted with those obtained in a real plant. Initially, we compare the PID (proportional–integral–derivative) models used in previous studies for the optimization of this type of plant with modeling using the multivariate adaptive regression splines (MARS) model.


2016 ◽  
Vol 6 (2) ◽  
Author(s):  
M. Wirawan ◽  
R. Kurniawan ◽  
Mirmanto Mirmanto

Recently the use of energy increases. It leads to the energy crisis. Therefore, it is important to promote alternative energy (renewable energy). One of renewable energies, which is potential in Indonesia, is solar enrgy. Solar energy can be harvested using a solar collector. This device can collect or absorb solar radiation and convert it to thermal energy. In this study, two identical collectors are used. One collector consists of 7 pipes and the other comprises 9 pipes. The overall dimension of the collector is 100 cm x 80 cm x 10 cm and the absorber of the collector is made of gravels with a mesh size of 9.5 -12.5 mm. The collectors are placed with a slope of 15o facing to North. The volumetric rates of water used in the experiments are 300 cc / min, 350 cc / min and 400 cc / min. The results show that the collector with 9 pipes is better than that with 7 pipes.


Author(s):  
Suresh Baral

Abstract The present study aims to investigate the thermodynamic and financial aspect of concentrated solar power (CSP) plant hybridized with biomass-based organic Rankine cycle (ORC), thermal energy storage (TES), hot springs and CO2 capture systems. The organic working fluids namely R123, R235fa, D4 and MDM are selected for designing the hybrid system at different operating conditions. The nominal power capacities of the CSP and biomass ORC plants are 1.3 MW and 730 kW respectively. Additionally, a parametric study has been carried out to understand the influencing parameters that affect the system’s performance. From the results, it is revealed that the biomass ORC plant with a hot spring system alone can develop a power of 720 and 640 kW for D4 and MDM respectively. Furthermore, the power generation can be increased with addition of TES in the CSP plant. From the economic point of view, the hybrid system with special focus on CO2 capture could be very profitable if the levelized cost of electricity (LCOE) is fixed at 0.24$/kWh. In this scenario, the payback period is 8 years with an internal rate of return (IRR) more than 8%. Therefore, the hybrid system is thermodynamically and financially attractive for dispatchable electricity.


2020 ◽  
Vol 64 (2) ◽  
pp. 119-134 ◽  
Author(s):  
Murat Dogru ◽  
Ahmet Erdem

Waste biomass, a renewable resource, is a reasonable choice for green clean power generation using advanced thermal treatment technologies such as gasification. In this research, dried-densified olive pomace residues from olive oil production have been applied as biomass feedstock in a new gasification process for synthesis gas (syngas) generation using a 500 kg h−1 throughput capacity autothermal modified updraft gasifier system. The product syngas generation rate is found to be approximately 2.5 Nm3 kg−1 of olive pomace, with a calorific value (CV) between 5.0 MJ Nm−3 and 7.0 MJ Nm−3. More than 85% of carbon in pomace is converted to produced syngas by the gasification system. The gasification reactor generates syngas which passes through a specially designed swirl hot gas burner and is then burned directly in a thermal oil boiler retrofitted to an organic Rankine cycle (ORC) turbine generator. As a result, the produced syngas at around 350°C is directly combusted with tars so that a great deal of chemical energy loss is prevented. The thermal oil heater has a thermal energy capacity of 1.77 MWh. The generated 1.6 MWh thermal energy from the thermal oil heater is transferred to the ORC turbine to generate 240 kW electrical power.


Environments ◽  
2018 ◽  
Vol 5 (11) ◽  
pp. 119 ◽  
Author(s):  
Alessia Arteconi ◽  
Luca Del Zotto ◽  
Roberto Tascioni ◽  
Khamid Mahkamov ◽  
Chris Underwood ◽  
...  

In this paper, the smart management of buildings energy use by means of an innovative renewable micro-cogeneration system is investigated. The system consists of a concentrated linear Fresnel reflectors solar field coupled with a phase change material thermal energy storage tank and a 2 kWe/18 kWth organic Rankine cycle (ORC) system. The microsolar ORC was designed to supply both electricity and thermal energy demand to residential dwellings to reduce their primary energy use. In this analysis, the achievable energy and operational cost savings through the proposed plant with respect to traditional technologies (i.e., condensing boilers and electricity grid) were assessed by means of simulations. The influence of the climate and latitude of the installation was taken into account to assess the performance and the potential of such system across Europe and specifically in Spain, Italy, France, Germany, U.K., and Sweden. Results show that the proposed plant can satisfy about 80% of the overall energy demand of a 100 m2 dwelling in southern Europe, while the energy demand coverage drops to 34% in the worst scenario in northern Europe. The corresponding operational cost savings amount to 87% for a dwelling in the south and at 33% for one in the north.


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