Low prices will expand China's solar panel exports

Subject The outlook for the solar photovoltaic sector in China. Significance The EU's decision last month to remove tariffs on imported Chinese solar panels follows a US move to increase tariffs. It also comes at a time when international prices for panels are falling in response to a reduction of subsides for the deployment of solar photovoltaic (PV) capacity in China. Impacts Falling prices will stimulate further installation of solar PV capacity across the world, especially in sunny regions. Chinese manufacturers will further expand their capacity both at home and abroad. Non-Chinese PV manufacturers will find their profits squeezed even further unless they are protected by import controls. The rate of deployment of new solar PV capacity within China will decline, but still remain substantial.

Author(s):  
Rahul Bisht ◽  
Afzal Sikander

Purpose This paper aims to achieve accurate maximum power from solar photovoltaic (PV), its five parameters need to be estimated. This study proposes a novel optimization technique for parameter estimation of solar PV. Design/methodology/approach To extract optimal parameters of solar PV new optimization technique based on the Jellyfish search optimizer (JSO). The objective function is defined based on two unknown variables and the proposed technique is used to estimate the two unknown variables and the rest three unknown variables are estimated analytically. Findings In this paper, JSO is used to estimate the parameters of a single diode PV model. In this study, eight different PV panels are considered. In addition, various performance indices, such as PV characteristics, such as power-voltage and current-voltage curves, relative error (RE), root mean square error (RMSE), mean absolute error (MAE) and normalized mean absolute error (NMAE) are determined using the proposed algorithm and existing algorithms. The results for different solar panels have been obtained under varying environmental conditions such as changing temperature and constant irradiance or changing irradiance and constant temperature. Originality/value The proposed technique is new and provides better results with minimum RE, RMSE, NMAE, MAE and converges fast, as depicted by the fitness graph presented in this paper.


Subject Calls for China to be more transparent over COVID-19's origins and spread. Significance China has a critical role to play in providing data to the rest of the world on infections and fatalities related to COVID-19. However, there are widespread doubts over the reliability of the data that China supplies. Impacts Criticism at home and abroad will do nothing to change the Communist Party’s calculation of the risks and benefits of transparency. Beijing will view foreign criticism of its data as deliberately subversive. Beijing will dismiss public calls for greater transparency in favour of even stronger central control.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ben Charters ◽  
Troy Heffernan

PurposeThis paper addresses the current lack of solar photovoltaic (PV) adoption by Australian apartment dwellers by proposing a conceptual model that identifies and integrates the factors influencing owners' attitudes towards PV adoption.Design/methodology/approachThe conceptual model, which this paper terms the apartment-based solar adoption (ASA) model, is developed by applying motivation–opportunity–ability (MOA) theory to relevant findings in property development, green energy and strata governance literature.FindingsThe ASA model demonstrates the process by which an apartment-owning consumer may progress from considering solar PV adoption to recommending the action to their strata property's Owners' Committee (OC). It incorporates three motivational drivers (pragmatic considerations, perceived values and perceived social norms), three conditional mediators (location accessibility, resource availability and decision-making conditions) and three requirements from the consumer (actual and perceived knowledge, the ability to participate in decision-making and social connections and status).Research limitations/implicationsThis article contributes originality to research on two counts. Firstly, it provides a conceptual framework of specific relevance to issues concerning solar PV adoption, and secondly, it offers a systematic means for research into strata governance decision-making. Further research is required to develop the means with which to utilise the model prescriptively and measure longitudinal effects, such as ongoing trends in apartment owners' motivations. Further research is also recommended into how the ASA model may be utilised to identify generalisable consumer typologies among apartment owners.Practical implicationsThe ASA model may assist building maintenance providers in developing and marketing solar PV services tailored to apartment residents' requirements and enhance strata managers' ability to inform and guide apartment owners. In turn, property developers would be able to review apartment-based solar projects, measure their increased value and decreased energy costs and incorporate this information when planning future developments.Social implicationsThe ASA model may provide a template for apartment owners and owners' corporations considering solar PV for their property. Public policymakers could also refer to the model to incentivise apartment-based solar PV adoption, whether through designing local information campaigns, developing financial incentives or mitigating identified regulatory barriers. By facilitating solar PV adoption in Australian apartment housing, the model may ensure sustainable post-carbon energy consumption for Australia's housing stock and act as an example for high-density housing development internationally.Originality/valueThe ASA model addresses the many drivers and barriers known to affect solar PV adoption by apartment owners, presenting a framework on which to arrange these factors and outline their causal relationships. This framework may inform strata properties' future solar PV adoption initiatives by incorporating their specific physical characteristics, stakeholder dynamics and institutional structure. It also consolidates and provides generalisability to the concepts established in current literature.


2020 ◽  
pp. 228-273
Author(s):  
Paul F. Meier

There are two basic approaches for using solar energy to generate electricity. The first type, solar photovoltaic (PV) energy, uses semiconductors to convert sunlight into electricity. Crystalline silicon semiconductors are the most common type in use. The second approach is called concentrating solar power (CSP), also referred to as solar thermal. Basically, CSP uses mirrors to concentrate sunlight and generate steam, which is used to power a turbine. The most common method employed commercially is the parabolic trough, where the mirrors are horizontally disposed in a parabolic shape. Solar PV is more commonly used commercially because of high capital costs for building a CSP power plant. Solar PV has experienced rapid growth over the last ten years, increasing by more than twentyfold in the United States. Growth for CSP has increased threefold over the same ten years, but no growth over the last four years. Spain and the United States lead the world in commercial CSP plants.


Author(s):  
A.L. Galinovsky ◽  
A.V. Denisov ◽  
E.A. Gavrilova ◽  
M.A. Denisova ◽  
V.G. Chertov ◽  
...  

This article deals with the problem of ensuring the competitiveness of space systems by increasing the energy and mass efficiency of solar panels. It provides a review of modern designs of the solar panel frames intended for use in spacecraft, and a choice of design and technological solutions for the creation of integrated structures of the solar panel frames with a low specific weight. A model of a composite integrated frame is developed that ensures the bearing capacity of the solar panel at a given static gravitational load at the time of launch and in operation. The results of the selection of rational parameters for the elements of the integrated solar panel frame are given. The results obtained in the framework of the adopted assumptions and the initial characteristics of the polymer composite materials warrant the possibility of realization of the specific gravity in the range of 0.55–0.65 kg/m2, with a regulated load bearing capacity and stiffness, thereby complying with the world trends for objects of this class. Using the proposed design, it is possible to place lens concentrators over the photovoltaic converters installed on the frame, which in turn can significantly increase the specific power of the solar cell.


2020 ◽  
pp. 0734242X2096283
Author(s):  
Md Tasbirul Islam ◽  
Mohammad Sohrab Hasan Nizami ◽  
Sajjad Mahmoudi ◽  
Nazmul Huda

Waste solar photovoltaic (PV) panels are considered as one of the fastest-growing future waste streams under the category of large electronic waste (e-waste). The lifespan of solar panels varies from 20 to 30 years, and an appropriate reverse logistics network design is essential to manage the waste stream efficiently once their lifetime expires. Mixed-integer programming-based RL model is proposed in this paper for New South Wales, Australia that minimizes the overall cost by identifying optimal locations and sizing of the collection points while determining optimal capacities for recycling facilities. Using the historical data (2001–2017) on the installed capacity of solar panels in the state, the potential waste generation (at council-level) is estimated and optimized solutions are proposed for the year 2047. The results of the study show that the highest waste solar PV will be generated at Murrumbidgee, Berrigan, Balranald, and Bogan councils. Out of 129 councils in the state, the model identifies 78 optimized-locations of the collection points that would be required in the councils. In the councils of Newcastle, Narrandera and Wagga Wagga, three major recycling facilities would need to be established. This is the first systematic attempt in designing an optimized RL network in Australia focusing on waste solar PV. Policy-makers will find this research highly valuable in decision-making on local recycling infrastructure development.


2019 ◽  
Vol 10 (1) ◽  
pp. 113-123
Author(s):  
A. Farooq ◽  
R. Aftab

The world is running out of the oil and natural resources with each passing day. Most of the electricity around the world is generated using natural resources. E-governments are trying to move the electricity production from natural resources to hydro and solar generation. For the places such as in the Middle East and deserted areas in Sindh district of Pakistan, where water resources are low and solar is superlative for generating electrical energy. The objective of this research is to implement, model, design and simulate the Photovoltaic Solar Monitoring (PVSM) systems. The simulation for the system is implemented on LabVIEW software and tests are carried out for certain values of input. All the details, expected outcomes, problems, and results are part of this research. The scope of this research is to obtain the results using real-time simulations performed in LabVIEW. The simulation performed in LabVIEW mimics the implementation of the advanced automation and control system technique Supervisory control and data acquisition (SCADA). The objective of this research work is to perform the essential simulation that is required to investigate current products for PV factors monitoring that influence solar panels efficiency. The goals are: to design and to develop a system for monitoring the PV solar systems using LabVIEW, to simulate the performance of PV solar system using the theoretical methods, to monitor system by means of LabVIEW and to show theoretical effects in the method of the curve of PV performance parameters. Implementing the interfacing technique at home level to monitor the local solar parameters helps in utilizing the solar generated energy in an efficient way. Analysis in LabVIEW helps in studying the parametric condition of the environment where solar is required to be installed.


2020 ◽  
Author(s):  
Nishan Khadka ◽  
Sulav Parajuli ◽  
Rabindra Acharya ◽  
Sanjaya Neupane ◽  
Jyoti Giri ◽  
...  

Solar panel soiling is a major barrier in electricity generation by solar Photo-Voltaic (PV) technology, especially in dust-prone cities like Kathmandu. Currently employed techniques use expensive cleaning bots, short-lived coatings or environmentally non-friendly coatings. This paper encompasses a study of a green alternative to counteract solar panel soiling. Cellulose nanocrystals (CNC) blended with Poly Vinyl Alcohol (PVA) with surface modification by Poly butylene terephthalate (PBT) and powdered silica was used to produce a transparent, hydrophobic film which could act as a self-cleaning cover for soiling prone solar panels. The film exhibited an average transmittance of 92.18% of the incident light in the solar PV working spectra (420nm-700nm). Hydrophobicity was quantified by the water contact angle (WCA) which was an average of 87.25°. The film was durable to photocatalytic and hydrolytic decay but further research is warranted before rendering the film suitable for use as a protective cover for solar panels.


2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Feras A. Hafiz ◽  
Y.I. Go ◽  
Rodney H.G. Tan ◽  
Saqaff A. Alkaff ◽  
T.H. Tan ◽  
...  

Temperature is one of the major factors that affect the efficient of solar panels and temperature profiles on solar panel are required to optimise the performance of solar PV. A method to construct and visualise the thermal profiles of solar panel with minimum temperature measurement is proposed in this work.  Based on nine measured temperature, three different interpolation techniques are used to predict the temperature at 25 points and 81 points. The predicted temperature is then compared with measured temperature from thermal gun. MATLAB is used to reconstruct the thermal image in two different resolution, 17x17 and 33x33. Bilinear interpolation technique and resolution of 33x33 gives the best results and can be applied in industry to predict temperature profile on solar panel with minimum measurement.


Author(s):  
Prof. Shashank Pujari ◽  
Prangyadarshini Behera ◽  
Devendrakumar Yadav

The paper outlines an application of smart solar “photovoltaic” power generation. Solar panels are typically in fixed position. They're limited in their energy-generating ability because they cannot consistently take full advantage of maximum sunlight. For more effective solar energy system, the solar panel should be able to align with sunlight as it changes during a given day. The present paper examines the design advantages of creating an intelligent solar tracking system like a helianthus flower using microcontroller based embedded system.


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