Wearable Large-Scale Perovskite Solar-Power Source via Nanocellular Scaffold

2017 ◽  
Vol 29 (42) ◽  
pp. 1703236 ◽  
Author(s):  
Xiaotian Hu ◽  
Zengqi Huang ◽  
Xue Zhou ◽  
Pengwei Li ◽  
Yang Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Solar Power ◽  
Power Source

Wearable Electronics: Wearable Large-Scale Perovskite Solar-Power Source via Nanocellular Scaffold (Adv. Mater. 42/2017)

2017 ◽  
Vol 29 (42) ◽  
Author(s):  
Xiaotian Hu ◽  
Zengqi Huang ◽  
Xue Zhou ◽  
Pengwei Li ◽  
Yang Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Solar Power ◽  
Power Source ◽  
Wearable Electronics

Comparative Exploration of Mini Vertical Axis Breeze-Driven Generator

2014 ◽  
Vol 670-671 ◽  
pp. 964-967
Author(s):  
Shu Hua Bai ◽  
Hai Dong Yang
Keyword(s):  
Natural Gas ◽  
Wind Turbine ◽  
Wind Power ◽  
North Africa ◽  
Large Scale ◽  
Solar Power ◽  
Vertical Axis ◽  
Green Energy ◽  
Energy Crisis ◽  
Fossil Energy

Nowadays, energy crisis is becoming increasingly serious. Coal, petroleum, natural gas and other fossil energy tend to be exhausted due to the crazy exploration. In recent decades, several long lasting local wars broke out in large scale in Mideast and North Africa because of the fighting for the limited petroleum. The reusable green energy in our life like enormous wind power, solar power, etc is to become the essential energy. This article is to conduct a comparative exploration of mini wind turbine, with the purpose of finding a good way to effectively deal with the energy crisis.

Innovative Volumetric Solar Receiver Micro-Design Based on Numerical Predictions

2015 ◽  
Author(s):  
Raffaele Capuano ◽  
Thomas Fend ◽  
Bernhard Hoffschmidt ◽  
Robert Pitz-Paal
Keyword(s):  
Solar Radiation ◽  
Energy Demand ◽  
Large Scale ◽  
Solar Power ◽  
Numerical Models ◽  
Numerical Predictions ◽  
Proper Design ◽  
Global Increase ◽  
Solar Power Tower ◽  
Solar Receiver

Due to the continuous global increase in energy demand, Concentrated Solar Power (CSP) represents an excellent alternative, or add-on to existing systems for the production of energy on a large scale. In some of these systems, the Solar Power Tower plants (SPT), the conversion of solar radiation into heat occurs in certain components defined as solar receivers, placed in correspondence of the focus of the reflected sunlight. In a particular type of solar receivers, defined as volumetric, the use of porous materials is foreseen. These receivers are characterized by a porous structure called absorber. The latter, hit by the reflected solar radiation, transfers the heat to the evolving fluid, generally air subject to natural convection. The proper design of these elements is essential in order to achieve high efficiencies, making such structures extremely beneficial for the overall performances of the energy production process. In the following study, a parametric analysis and an optimized characterization of the structure have been performed with the use of self-developed numerical models. The knowledge and results gained through this study have been used to define an optimization path in order to improve the absorber microstructure, starting from the current in-house state-of-the-art technology until obtaining a new advanced geometry.

scholarly journals Barriers to Large-scale Solar Power in Tanzania

2019 ◽  
Vol 48 ◽  
pp. 43-58 ◽  
Author(s):  
Ahmed Aly ◽  
Magda Moner-Girona ◽  
Sándor Szabó ◽  
Anders Branth Pedersen ◽  
Steen Solvang Jensen
Keyword(s):  
Large Scale ◽  
Solar Power

scholarly journals Short Time Solar Power Forecasting Using Persistence Extreme Learning Machine Approach

2021 ◽  
Vol 294 ◽  
pp. 01002
Author(s):  
Xiaoyan Xiang ◽  
Yao Sun ◽  
Xiaofei Deng
Keyword(s):  
Solar Energy ◽  
Extreme Learning Machine ◽  
Power Output ◽  
Smart Grids ◽  
Large Scale ◽  
Solar Power ◽  
Learning Algorithm ◽  
Power Performance ◽  
Energy Prediction ◽  
Learning Machine

Solar energy in nature is irregular, so photovoltaic (PV) power performance is intermittent, and highly dependent on solar radiation, temperature and other meteorological parameters. Accurately predicting solar power to ensure the economic operation of micro-grids (MG) and smart grids is an important challenge to improve the large-scale application of PV to traditional power systems. In this paper, a hybrid machine learning algorithm is proposed to predict solar power accurately, and Persistence Extreme Learning Machine(P-ELM) algorithm is used to train the system. The input parameters are the temperature, sunshine and solar power output at the time of i, and the output parameters are the temperature, sunshine and solar power output at the time i+1. The proposed method can realize the prediction of solar power output 20 minutes in advance. Mean absolute error (MAE) and root-mean-square error (RMSE) are used to characterize the performance of P-ELM algorithm, and compared with ELM algorithm. The results show that the accuracy of P-ELM algorithm is better in short-term prediction, and P-ELM algorithm is very suitable for real-time solar energy prediction accuracy and reliability.

scholarly journals Impact study of NOOR 1 project on the Moroccan territorial economic development

2021 ◽  
Vol 6 ◽  
pp. 8
Author(s):  
Amale Laaroussi ◽  
Abdelghrani Bouayad ◽  
Zakaria Lissaneddine ◽  
Lalla Amina Alaoui
Keyword(s):  
Economic Development ◽  
Renewable Energy ◽  
Economic Impact ◽  
Large Scale ◽  
Solar Power ◽  
Local Level ◽  
Concentrated Solar Power ◽  
Professional Literature ◽  
Study Results ◽  
The Impact

Morocco is one of the countries investing more and more in Renewable Energy (RE) technologies to meet the growing demand for energy and ensure the security of supply in this sector. The number of solar projects planned and implemented, as well as solar thermal projects in the form of Concentrating Solar Power (CSP) installations is steadily increasing. Many of these installations are designed as large utility systems. In order to provide strong evidence on local, regional and even national impacts, this article examines the impacts of large-scale renewable energy projects on territorial development, based on a case study of the NOOR 1 (Concentrated Solar Power (CSP)) project in Ouarzazate, Morocco. The data collected during this study, conducted through semi-structured interviews with experts, stakeholders, local community representatives and combined with an analysis of documents provided by the NOOR 1 project managers, investors and consulting firms specialized in the field of Renewable Energy, provide detailed evidence on the type and magnitude of impacts on the economic development of the Moroccan southern region where the NOOR 1 plant is located. The data collected is analyzed using NVIVO software. The study results in a consolidated list of many impacts with varying levels of significance for different stakeholder groups, including farmers, youth, women, community representatives and small and medium firms owners. It should be noted that the importance of analyzing the economic impact of large infrastructure projects is widely recognized, but so far, there is little published in the academic and professional literature on the potential impacts of these projects at the local level. Even less information is available on the local impacts of large-scale project implementation in Morocco. While many macroeconomic studies have fed the recent surge in investment in RE projects with the promise of multiple social, economic, environmental, and even geopolitical benefits at the macro level, public debates and discussions have raised considerable doubts. The question of whether these promises would also leave their marks at the local level has also arisen. Despite these uncertainties, very few academics and practitioners have conducted research to empirically develop a good understanding of the impact of RE projects at the local level. To fill this research gap, the economic impact analysis of NOOR 1 provides a detailed empirical overview, which allows a better understanding of the effects that the infrastructure developments of Concentrated Solar Power (CSP) plants can have on the economic environment in which they are located.

scholarly journals Impacts of Electric Road Systems on the German and Swedish Electricity Systems—An Energy System Model Comparison

2021 ◽  
Vol 9 ◽  
Author(s):  
Johanna Olovsson ◽  
Maria Taljegard ◽  
Michael Von Bonin ◽  
Norman Gerhardt ◽  
Filip Johnsson
Keyword(s):  
Wind Power ◽  
Peak Power ◽  
Large Scale ◽  
Solar Power ◽  
Energy System ◽  
Transport Sector ◽  
Electricity System ◽  
Road Systems ◽  
The Impact ◽  
Electricity Systems

This study analyses the impacts of electrification of the transport sector, involving both static charging and electric road systems (ERS), on the Swedish and German electricity systems. The impact on the electricity system of large-scale ERS is investigated by comparing the results from two model packages: 1) a modeling package that consists of an electricity system investment model (ELIN) and electricity system dispatch model (EPOD); and 2) an energy system investment and dispatch model (SCOPE). The same set of scenarios are run for both model packages and the results for ERS are compared. The modeling results show that the additional electricity load arising from large-scale implementation of ERS is mainly, depending on model and scenario, met by investments in wind power in Sweden (40–100%) and in both wind (20–75%) and solar power (40–100%) in Germany. This study also concludes that ERS increase the peak power demand (i.e., the net load) in the electricity system. Therefore, when using ERS, there is a need for additional investments in peak power units and storage technologies to meet this new load. A smart integration of other electricity loads than ERS, such as optimization of static charging at the home location of passenger cars, can facilitate efficient use of renewable electricity also with an electricity system including ERS. A comparison between the results from the different models shows that assumptions and methodological choices dictate which types of investments are made (e.g., wind, solar and thermal power plants) to cover the additional demand for electricity arising from the use of ERS. Nonetheless, both modeling packages yield increases in investments in solar power (Germany) and in wind power (Sweden) in all the scenarios, to cover the new electricity demand for ERS.

ANALYSIS PERFORMANCE OF LARGE SCALE GRID CONNECTED PV POWER PLANTS IN THE TROPICAL REGION.

2021 ◽  
Vol 10 (1) ◽  
pp. 61-75
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Solar Power ◽  
International Energy Agency ◽  
Performance Ratio ◽  
Tropical Region ◽  
Annual Average ◽  
Energy Agency ◽  
Final Yield ◽  
Solar Power Plants

The main objective of this research is analysed and compared the performance of two solar power plants to identify the possible operational problems in the tropical region. The grid connected PV power plants considered in the present study, Ten Merina and Senergy, were installed in the region of Thies (Senegal). Solar power plants have the same installed capacity 29.491 MWp. A period of one operation year of the solar power plants is considered, starting from January 2018 to December 2018. The performance parameters developed by the International Energy Agency (IEA) are used to analyse the performances of solar power plants. The results show that the plane of array irradiance at the sites is identical with an annual average of 6.2 kWh/m2/d. The annual average performance ratio and final yield of solar power plants are respectively 74.3 %; 4.61 kWh/kWp to Ten Merina and 75.9 %; 4.66 kWh/kWp to Senergy. These results are compared to other solar power plants installed in different locations around the world.

scholarly journals Performance and Economic Evaluation of Solar Rooftop Systems in Different Regions of Thailand

2019 ◽  
Vol 11 (23) ◽  
pp. 6647 ◽  
Author(s):  
Suntiti Yoomak ◽  
Theerasak Patcharoen ◽  
Atthapol Ngaopitakkul
Keyword(s):  
Power Generation ◽  
Economic Evaluation ◽  
Solar Radiation ◽  
Large Scale ◽  
Net Present Value ◽  
Solar Power ◽  
Electrical Energy ◽  
Solar Panels ◽  
Solar Power Generation ◽  
Generation Capacity

Solar rooftop systems in the residential sector have been rapidly increased in the term of installed capacity. There are various factors, such as climate, temperature, and solar radiation, that have effects on solar power generation efficiency. This paper presents a performance assessment of a solar system installed on the rooftop of residence in different regions of Thailand by using PSIM simulation. Solar rooftop installation comparison in different regions is carried out to evaluate the suitable location. In addition, three types of solar panels are used in research: monocrystalline, polycrystalline, and thin-film. The electrical parameters of real power and energy generated from the systems are investigated and analyzed. Furthermore, the economic evaluation of different solar rooftop system sizes using the monocrystalline module is investigated by using economic indicators of discounted payback period (DPP), net present value (NPV), internal rate of return (IRR), and profitability index (PI). Results show that the central region of Thailand is a suitable place for installing solar rooftop in terms of solar radiation, and the temperature has more solar power generation capacity than the other regions. The monocrystalline and polycrystalline solar panels can generate maximum power close to each other. All solar rooftop sizes with the Feed-in Tariff (FiT) scheme give the same DPP of 6.1 years, IRR of 15%, and PI of 2.57 which are better than the cases without the FiT scheme. However, a large-scale installation of solar rooftop systems can receive more electrical energy produced from the solar rooftop systems. As a result, the larger solar rooftop system sizes can achieve better economic satisfaction.

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