Power generation quality analysis and geometric optimization for solar chimney power plants

Solar chimney power plants (SCPPs) collect air heated over a large area on the ground and exhaust it through a turbine or turbines located near the base of a tall chimney to produce renewable electricity. SCPP design in practice is likely to be specific to the site and of variable size, both of which require a purpose-built turbine. If SCPP turbines cannot be mass produced, unlike wind turbines, for example, they should be as cheap as possible to manufacture as their design changes. It is argued that a radial inflow turbine with blades made from metal sheets, or similar material, is likely to achieve this objective. This turbine type has not previously been considered for SCPPs. This article presents the design of a radial turbine to be placed hypothetically at the bottom of the Manzanares SCPP, the only large prototype to be built. Three-dimensional computational fluid dynamics (CFD) simulations were used to assess the turbine’s performance when installed in the SCPP. Multiple reference frames with the renormalization group k-ε turbulence model, and a discrete ordinates non-gray radiation model were used in the CFD simulations. Three radial turbines were designed and simulated. The largest power output was 77.7 kW at a shaft speed of 15 rpm for a solar radiation of 850 W/m2 which exceeds by more than 40 kW the original axial turbine used in Manzanares. Further, the efficiency of this turbine matches the highest efficiency of competing turbine designs in the literature.

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Economic Assessment of Concrete and Floating Based Solar Chimney Power Plants in Bangladesh

2020 IEEE Region 10 Symposium (TENSYMP) ◽

10.1109/tensymp50017.2020.9230846 ◽

2020 ◽

Author(s):

Md. Abdul Aziz Bhuiyan ◽

Md Abdul Aziz Bhuiyan ◽

Mehedi Hasan Bhuiyan ◽

Md Ashiqur Rahman ◽

...

Keyword(s):

Power Plants ◽

Economic Assessment ◽

Solar Chimney

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Predicting the Performance of Solar Power Generation Using Deep Learning Methods

Applied Sciences ◽

10.3390/app11156887 ◽

2021 ◽

Vol 11 (15) ◽

pp. 6887

Author(s):

Chung-Hong Lee ◽

Hsin-Chang Yang ◽

Guan-Bo Ye

Keyword(s):

Power Generation ◽

Solar Energy ◽

Power Output ◽

Power Plants ◽

Solar Power ◽

Photovoltaic Cell ◽

Power Prediction ◽

Seasonal Characteristics ◽

Variable Nature ◽

Solar Power Plants

In recent years, many countries have provided promotion policies related to renewable energy in order to take advantage of the environmental factors of sufficient sunlight. However, the application of solar energy in the power grid also has disadvantages. The most obvious is the variability of power output, which will put pressure on the system. As more grid reserves are needed to compensate for fluctuations in power output, the variable nature of solar power may hinder further deployment. Besides, one of the main issues surrounding solar energy is the variability and unpredictability of sunlight. If it is cloudy or covered by clouds during the day, the photovoltaic cell cannot produce satisfactory electricity. How to collect relevant factors (variables) and data to make predictions so that the solar system can increase the power generation of solar power plants is an important topic that every solar supplier is constantly thinking about. The view is taken, therefore, in this work, we utilized the historical monitoring data collected by the ground-connected solar power plants to predict the power generation, using daily characteristics (24 h) to replace the usual seasonal characteristics (365 days) as the experimental basis. Further, we implemented daily numerical prediction of the whole-point power generation. The preliminary experimental evaluations demonstrate that our developed method is sensible, allowing for exploring the performance of solar power prediction.

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A Study on the Improvement of Efficiency by Detection Solar Module Faults in Deteriorated Photovoltaic Power Plants

Applied Sciences ◽

10.3390/app11020727 ◽

2021 ◽

Vol 11 (2) ◽

pp. 727 ◽

Cited By ~ 1

Author(s):

Myeong-Hwan Hwang ◽

Young-Gon Kim ◽

Hae-Sol Lee ◽

Young-Dae Kim ◽

Hyun-Rok Cha

Keyword(s):

Power Generation ◽

Power Plants ◽

Detection System ◽

Failure Detection ◽

Solar Module ◽

Thermal Images ◽

Power Stations ◽

Photovoltaic Power ◽

Manufacturing Technologies ◽

Pv Power Generation

In recent years, photovoltaic (PV) power generation has attracted considerable attention as a new eco-friendly and renewable energy generation technology. With the recent development of semiconductor manufacturing technologies, PV power generation is gradually increasing. In this paper, we analyze the types of defects that form in PV power generation panels and propose a method for enhancing the productivity and efficiency of PV power stations by determining the defects of aging PV modules based on their temperature, power output, and panel images. The method proposed in the paper allows the replacement of individual panels that are experiencing a malfunction, thereby reducing the output loss of solar power generation plants. The aim is to develop a method that enables users to immediately check the type of failures among the six failure types that frequently occur in aging PV panels—namely, hotspot, panel breakage, connector breakage, busbar breakage, panel cell overheating, and diode failure—based on thermal images by using the failure detection system. By comparing the data acquired in the study with the thermal images of a PV power station, efficiency is increased by detecting solar module faults in deteriorated photovoltaic power plants.

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Constructal Distribution of Solar Chimney Power Plants: Few Large and Many Small

International Journal of Green Energy ◽

10.1080/15435075.2010.529402 ◽

2010 ◽

Vol 7 (6) ◽

pp. 577-592 ◽

Cited By ~ 19

Author(s):

S. Lorente ◽

A. Koonsrisuk ◽

A. Bejan

Keyword(s):

Power Plants ◽

Solar Chimney

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Solar Chimney Power Plant - A Review on Latest Technological Advances for Performance Enhancement

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.34818 ◽

2021 ◽

Vol 9 (VI) ◽

pp. 2434-2443

Author(s):

Sreelekha Arun

Keyword(s):

Power Generation ◽

Power Plant ◽

Performance Enhancement ◽

Mechanical Energy ◽

Technological Advancement ◽

Solar Chimney ◽

Air Turbine ◽

Power Generation Technology ◽

Solar Chimney Power Plant ◽

Generation Technology

The energy consumption on global scale is continuously increasing, resulting in rapid use of energy resources available. Solar chimney power generation technology hence began to get growing attention as its basic model needs no depleting resources like fossil fuels for its functioning but only uses sunlight and air as a medium. It takes the advantage of the chimney effect and the temperature difference in the collector that produces negative pressure to cause the airflow in the system, converting solar energy into mechanical energy in order to drive the air turbine generator situated at the base of the chimney. Solar Chimney Power Plant (SCPP) brings together the solar thermal technology, thermal storage technology, chimney technology and air turbine power generation technology. However, studies have shown that even if the chimney is as high as 1000 m, the efficiency achievable is only around 3%. Hence, this review paper intents to put together the new technological advancement that aims to improve the efficiency of SCPP.

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Low-Carbon Clean Technology for Waste Energy Recovery in Power Plants Based on Green Environmental Protection

Distributed Generation & Alternative Energy Journal ◽

10.13052/dgaej2156-3306.3632 ◽

2021 ◽

Author(s):

Yong Tian ◽

Wen-Jing Liu ◽

Qi-jie Jiang ◽

Xin-Ying Xu

Keyword(s):

Power Generation ◽

Power Plants ◽

Biomass Energy ◽

Energy Utilization ◽

Pollutant Emissions ◽

Total Power ◽

Economic Losses ◽

Biomass Waste ◽

Emission Analysis ◽

Total Power Consumption

With the development of biomass power generation technology, biomass waste has a more excellent recycling value. The article establishes a biomass waste inventory model based on the material flow analysis method and predicts raw material waste’s energy utilization potential. The results show that the amount of biomass waste generated from 2016 to 2020 is on the rise. In 2020, biomass waste’s energy utilization can reach 107,802,300 tons, equivalent to 1,955.28PJ of energy. Through biomass energy analysis and emission analysis, the results show that the biomass waste can generate 182.02 billion kW⋅h in 2020, which can replace 35.9% of the region’s total power consumption, which is compared with the traditional power generation method under the same power generation capacity. Power generation can reduce SO2 emissions by 250,400 tons, NOx emissions by 399,300 tons, and PM10 emissions by 49,700 tons. Reduce direct economic losses by 712 million yuan. Therefore, Chinese promotion of the recycling of biomass waste and the acceleration of the biomass energy industry’s development is of great significance for reducing pollutant emissions and alleviating energy pressure.

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