Large-Scale Solar Energy: Much Has Changed [From the Editor]

2015 ◽  
Vol 13 (2) ◽  
pp. 4-4
Author(s):  
Mel Olken
Keyword(s):  
Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 462
Author(s):  
Houssame Boujjat ◽  
Sylvain Rodat ◽  
Stéphane Abanades

Solar biomass gasification is an attractive pathway to promote biomass valorization while chemically storing intermittent solar energy into solar fuels. The economic feasibility of a solar gasification process at a large scale for centralized H2 production was assessed, based on the discounted cash-flow rate of return method to calculate the minimum H2 production cost. H2 production costs from solar-only, hybrid and conventional autothermal biomass gasification were evaluated under various economic scenarios. Considering a biomass reference cost of 0.1 €/kg, and a land cost of 12.9 €/m2, H2 minimum price was estimated at 2.99 €/kgH2 and 2.48 €/kgH2 for the allothermal and hybrid processes, respectively, against 2.25 €/kgH2 in the conventional process. A sensitivity study showed that a 50% reduction in the heliostats and solar tower costs, combined with a lower land cost of below 0.5 €/m2, allowed reaching an area of competitiveness where the three processes meet. Furthermore, an increase in the biomass feedstock cost by a factor of 2 to 3 significantly undermined the profitability of the autothermal process, in favor of solar hybrid and solar-only gasification. A comparative study involving other solar and non-solar processes led to conclude on the profitability of fossil-based processes. However, reduced CO2 emissions from the solar process and the application of carbon credits are definitely in favor of solar gasification economics, which could become more competitive. The massive deployment of concentrated solar energy across the world in the coming years can significantly reduce the cost of the solar materials and components (heliostats), and thus further alleviate the financial cost of solar gasification.


2013 ◽  
Vol 10 (81) ◽  
pp. 20120984 ◽  
Author(s):  
James Barber ◽  
Phong D. Tran

Demand for energy is projected to increase at least twofold by mid-century relative to the present global consumption because of predicted population and economic growth. This demand could be met, in principle, from fossil energy resources, particularly coal. However, the cumulative nature of carbon dioxide (CO 2 ) emissions demands that stabilizing the atmospheric CO 2 levels to just twice their pre-anthropogenic values by mid-century will be extremely challenging, requiring invention, development and deployment of schemes for carbon-neutral energy production on a scale commensurate with, or larger than, the entire present-day energy supply from all sources combined. Among renewable and exploitable energy resources, nuclear fusion energy or solar energy are by far the largest. However, in both cases, technological breakthroughs are required with nuclear fusion being very difficult, if not impossible on the scale required. On the other hand, 1 h of sunlight falling on our planet is equivalent to all the energy consumed by humans in an entire year. If solar energy is to be a major primary energy source, then it must be stored and despatched on demand to the end user. An especially attractive approach is to store solar energy in the form of chemical bonds as occurs in natural photosynthesis. However, a technology is needed which has a year-round average conversion efficiency significantly higher than currently available by natural photosynthesis so as to reduce land-area requirements and to be independent of food production. Therefore, the scientific challenge is to construct an ‘artificial leaf’ able to efficiently capture and convert solar energy and then store it in the form of chemical bonds of a high-energy density fuel such as hydrogen while at the same time producing oxygen from water. Realistically, the efficiency target for such a technology must be 10 per cent or better. Here, we review the molecular details of the energy capturing reactions of natural photosynthesis, particularly the water-splitting reaction of photosystem II and the hydrogen-generating reaction of hydrogenases. We then follow on to describe how these two reactions are being mimicked in physico-chemical-based catalytic or electrocatalytic systems with the challenge of creating a large-scale robust and efficient artificial leaf technology.


Author(s):  
Ahmad Fudholi ◽  
Abrar Ridwan ◽  
Rado Yendra ◽  
Ari Pani Desvina ◽  
Hartono Hartono ◽  
...  

<span lang="EN-US">The most important benefit of solar energy is renewable and low pollutant source of energy (clean energy). Solar energy technology and research are developing fast and much of the technology needed for these applications in industry and agricultures is already available. Solar drying technology (SDT) is one of the most attractive and promising applications of solar energy technology. In this paper, the various performances of SDTs in Indonesia are summarized with details. Generally, the cabinet-type and tunnel-type SDTs are remarkably well suited to drying small quantities of vegetables and fruit on the household scale. Greenhouse and hybrid SDTs are suitable for use on a large scale by industries.</span>


2021 ◽  
Vol 294 ◽  
pp. 01002
Author(s):  
Xiaoyan Xiang ◽  
Yao Sun ◽  
Xiaofei Deng

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.


2021 ◽  
Vol 255 ◽  
pp. 01048
Author(s):  
Nataliia Savina ◽  
Yevheniia Sribna ◽  
Volodymyr Yemelyanov ◽  
Svitlana Dombrovska ◽  
Dmytro Mishchenko

The purpose of the article is to assess the pace of capital contribution and investment in solar energy in order to increase the energy security of national economies. The study analyzes the development of the global solar industry for years 2009-2019 in the context of investment support. The main stages of development of world solar energy are marked and the priority of countries and regions is determined. Factors of attractiveness of solar energy for private investment are noted, namely the investment climate is formed at the expense of legislative maintenance of this sphere, and in the economic plan at the expense of introduction of the «green» tariff. Two main investment processes in the development of solar energy are noted. First, these are large private companies that implement large-scale projects from solar stations. Secondly, this small private investment to provide electric for households that identified a small city urbanization and climatic conditions. It was found that the solar energy market depends more on capital intensity than on resource intensity. The result of economic calculation is indicated, which allowed to determine the term of reduction of the cost price of 1 kW of photovoltaic power station electricity to the level of NPP production cost for ten years.


Author(s):  
Xiaotian Guo ◽  
Xianhu Liu ◽  
Lei Wang

Photoelectrochemical (PEC) seawater splitting is a promising alternative for solar energy conversion and storage. However, the sluggish surface reaction dynamics and photocorrosion/corrosion generally limit the semiconductors for potential large-scale application....


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ataollah Khanlari ◽  
Adnan Sözen ◽  
Faraz Afshari ◽  
Azim Doğuş Tuncer ◽  
Ümit Ağbulut ◽  
...  

Purpose Over the recent years, solar energy has received outstanding attention from researchers. Solar energy applications and related large-scale projects are increasing to meet growing global energy demand as an economical, non-polluting and renewable energy source. The purpose of this study is investigating different plenum and absorber configurations of solar air heating wall (SAHW) experimentally and numerically. Design/methodology/approach In this study, various configurations of SAHW have been numerically simulated to determine the most effective design. According to the simulation results, two SAHWs with various plenum thicknesses have been fabricated and tested at different conditions. Findings Numerical simulation results indicated that parallel-flow SAHWs exhibited better performance in comparison with other placements of absorber plate. Regarding to the experimentally attained results, the highest thermal efficiency was reached to 80.51%. Also, the average deviation between experimentally and numerically obtained outlet temperature is 5.5%. Originality/value Considering the obtained results in the present study, designed SAHW has admissible efficiency to be used in various industrial and residential applications such as; air preheating, space heating and drying.


Author(s):  
Bekhruzi Talbi Shokhzoda ◽  
Mikhail Georgievich Tyagunov

Looking at the history of solar energy and renewable energy in general, the authorities and scientists have been paying much attention to the recent period, due to the depletion of fossil energy resources and the growing difficulties in solving environmental problems. The development of solar energy has led to the use of solar energy concentrators. Concentrators are used to concentrate sunlight onto PV cells. This allows for a reduction in the cell area required for producing a given amount of power. The goal is to significantly reduce the cost of electricity generated by replacing expensive PV converter area with less expensive optical material. In this chapter, the authors talk about concentrators in solar energy, especially about modules based on holographic films. Holographic solar panels (HSP) in recent decades have appeared in large-scale production and been actively used in solar energy. Evaluations of other types of existing concentrators are presented.


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