Industrial Organization Analysis on Solar PV Industry (Solar Photovoltaic)

2011 ◽  
Vol 55-57 ◽  
pp. 2013-2017
Author(s):  
Yuan Cai
Keyword(s):  
Industrial Organization ◽  
Market Structure ◽  
Value Chain ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Inverted Pyramid ◽  
Industrial Chain ◽  
Pyramid Structure ◽  
Organization Analysis ◽  
Harvard School

This article discusses the correlation between market structure and value GetCapabilities of major procedures of the PV industry, from the results we can find: As the number of enterprises involved in four procedures of the industrial chain increases, the degree of monopoly of market structure in all procedures are becoming more and more weaker, increasing the level of competition, which resulting in decreasing order of the corresponding distribution of profits, demonstrated as a "inverted pyramid" structure. Market structure of value chain in every procedure determines its ability to obtain the profits. That the industrial organization of PV industry can be explained by the SCP paradigm of Harvard School.

scholarly journals Determinants of Value Chain Analysis of Solar Photovoltaic Industry in Kathmandu Valley

2018 ◽  
Vol 1 (2) ◽  
pp. 153
Author(s):  
Anita Rizal
Keyword(s):  
Value Chain ◽  
Distribution Channel ◽  
Photovoltaic System ◽  
Kathmandu Valley ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Value Chain Analysis ◽  
Factors Influencing ◽  
Chain Analysis ◽  
Solar Photovoltaic System

<p>The objective of this paper is to find out key factors influencing target market of solar photovoltaic industry; and identify ways on how to reduce cost of sales in solar photovoltaic industry in Nepal. It also analyzes better ways of marketing solar photovoltaic system in current market. The conceptual model taken for this study comprises of Porter’s (1985) value chain analysis theory which has identified two sequences of activities i.e. primary and support activities. Exploratory research has been used where primary data is collected through structured questionnaire distributed among 120 individual sellers of solar photovoltaic system inside Kathmandu valley. The data collected are analyzed using SPSS 16.0 which is coded and tabulated by Microsoft Excel spreadsheet application.</p><p>The result of the analysis of the data shows that factors influencing value chain of solar PV industry are infrastructure (mostly furniture, workshop, showroom, capital and human resources in less number) needed to set up a company, imported from different countries, distribution channel, subsidy claim, marketing medium and after sales service. Few companies import huge quantity of solar related products. Most of the companies targeting direct customer don't claim subsidy directly rather they claim via other pre-qualified companies. Also these companies consider radio advertisement to reach customers at large rather than any other medium of marketing. These companies value warranty and repair &amp; maintenance services as an after sales service. Although few of the solar photovoltaic systems are manufactured in Nepal, they prefer to import these items rather than promote Nepal made products. Thus, these factors have created value from import to service to the customers.</p><p>Journal of Business and Social Sciences Research, Vol. 1, No. 2, pp. 153-168</p>

scholarly journals A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4690
Author(s):  
Varaha Satra Bharath Kurukuru ◽  
Ahteshamul Haque ◽  
Mohammed Ali Khan ◽  
Subham Sahoo ◽  
Azra Malik ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Value Chain ◽  
Photovoltaic Systems ◽  
Solar Photovoltaic ◽  
Data Generation ◽  
Solar Pv ◽  
Computational Power ◽  
Pv Systems ◽  
Advantages And Disadvantages ◽  
Accuracy And Precision

The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV) systems, due to the increasing computational power, tools and data generation. The currently employed methods for various functions of the solar PV industry related to design, forecasting, control, and maintenance have been found to deliver relatively inaccurate results. Further, the use of AI to perform these tasks achieved a higher degree of accuracy and precision and is now a highly interesting topic. In this context, this paper aims to investigate how AI techniques impact the PV value chain. The investigation consists of mapping the currently available AI technologies, identifying possible future uses of AI, and also quantifying their advantages and disadvantages in regard to the conventional mechanisms.

scholarly journals A Systematic Literature Review of the Solar Photovoltaic Value Chain for a Circular Economy

2021 ◽  
Vol 13 (17) ◽  
pp. 9615
Author(s):  
Maria A. Franco ◽  
Stefan N. Groesser
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Value Chain ◽  
Business Models ◽  
Renewable Energy Sources ◽  
Lithium Ion ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Stakeholder Relationships ◽  
Circular Design

As the solar photovoltaic market booms, so will the volume of photovoltaic (PV) systems entering the waste stream. The same is forecast for lithium-ion batteries from electric vehicles, which at the end of their automotive life can be given a second life by serving as stationary energy storage units for renewable energy sources, including solar PV. The main objective of this paper is to systematically review the “state-of-the-art” research on the solar PV value chain (i.e., from product design to product end-of-life), including its main stages, processes, and stakeholder relationships, in order to identify areas along the value chain where circular strategies could be implemented, thereby advancing the transition of the PV industry towards circularity. To achieve this goal, we conducted a systematic literature review of 148 peer-reviewed articles, published in English between 2000 and 2020. Results show the PV value chain has been studied from a forward flow supply chain perspective and mostly from a technological point of view, with little regard for circular design, circular business models, and PV reuse. This article thus takes an integrated value chain perspective, introduces some of the barriers to circularity that industry players face, and argues that these barriers represent future opportunities for incumbent and new entrants to innovate within a circular PV industry.

A novel way of parameter estimation of solar photovoltaic system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Bisht ◽  
Afzal Sikander
Keyword(s):  
Parameter Estimation ◽  
Mean Absolute Error ◽  
Optimization Technique ◽  
Absolute Error ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Solar Panels ◽  
Content Type ◽  
Solar Photovoltaic System

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.

Grid Parity of Residential Building Rooftop Solar PV in India

2021 ◽  
pp. 19-40
Author(s):  
Rakesh Dalal ◽  
Kamal Bansal ◽  
Sapan Thapar
Keyword(s):  
Residential Building ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Indian Government ◽  
Pv System ◽  
Pv Systems ◽  
Grid Parity ◽  
Solar Pv System ◽  
Utility Grid ◽  
Rooftop Solar

Rooftop solar photovoltaic(PV) installation in India have increased in last decade because of the flat 40 percent subsidy extended for rooftop solar PV systems (3 kWp and below) by the Indian government under the solar rooftop scheme. From the residential building owner's perspective, solar PV is competitive when it can produce electricity at a cost less than or equal grid electricity price, a condition referred as “grid parity”. For assessing grid parity of 3 kWp and 2 kWp residential solar PV system, 15 states capital and 19 major cities were considered  for the RET screen simulation by using solar isolation, utility grid tariff, system cost and other economic parameters. 3 kWp and 2 kWp rooftop solar PV with and without subsidy scenarios were considered for simulation using RETscreen software. We estimate that without subsidy no state could achieve grid parity for 2kWp rooftop solar PV plant. However with 3 kWp rooftop solar PV plant only 5 states could achieve grid parity without subsidy and with government subsidy number of states increased to 7, yet wide spread parity for residential rooftop solar PV is still not achieved. We find that high installation costs, subsidized utility grid supply to low energy consumer and financing rates are major barriers to grid parity.

scholarly journals A Novel DC-DC Converter Based Closed Loop Control of BLDC Motor for SPV fed Water Pumping System

2020 ◽  
Vol 06 (09) ◽  
pp. 240-247
Author(s):  
V Mounika and Tejavath Suhasini
Keyword(s):  
Closed Loop ◽  
Maximum Efficiency ◽  
Closed Loop Control ◽  
Solar Photovoltaic ◽  
Bldc Motor ◽  
Solar Pv ◽  
Efficient Operation ◽  
Loop Control ◽  
Pumping System ◽  
Water Pumping

This Paper Presents Novel DC-DC Converter Based Closed Loop Control of BLDC Motor for SPV fed Water Pumping System Solar Photovoltaic (SPV) Array fed Water pumping System Utilizing Buck-boost DC-DC Converter in order to extract the maximum available power from Solar system. Solar energy has the greatest availability compared to other energy sources. For such solar PV systems, maximum power point tracking control is preferred for efficient operation. This concept is dealing with INC method which is one of the MPPT methods. This study deals with a buck–boost converter controlled solar photovoltaic (SPV) array fed water pumping in order to achieve the maximum efficiency of an SPV array and the soft starting of a permanent magnet brushless DC (BLDC) motor. The current sensors normally used for speed control of BLDC motor are completely eliminated. The speed of BLDC motor is controlled through the variable DC-link voltage of a voltage-source inverter (VSI). The VSI is operated by fundamental frequency switching, avoiding the losses due to high-frequency switching, in order to enhance the efficiency of the proposed system.

scholarly journals Investigation of Auxiliary Power Potentials of Solar Photovoltaic Applications of Dry Bulk Carrier Ships

2019 ◽  
Author(s):  
Wandifa Saidyleigh ◽  
A. I. Olcer ◽  
R Baumler
Keyword(s):  
Alternative Fuels ◽  
Fossil Fuels ◽  
Energy Resource ◽  
Population Expansion ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
International Shipping ◽  
Cost Of Energy ◽  
Bulk Carriers ◽  
Photovoltaic Technology

The increase in world seaborne trade over the past decade due to global economic and population expansion has resulted in a corresponding increase of world shipping fleet with even greater size and power requirements. The bulk of these ships use cheap and widely available fossil fuels, mainly oil for operation but which has deleterious effects on the environment. In order to address environmental concerns in the shipping sector, the International Maritime Organization (IMO), responding to the global call to reduce greenhouse gases emissions from international shipping adopted technical and operational measures. These are to ensure efficient energy management on ships and have led to the application of many innovative technologies including the use of renewable energies and alternative fuels on ships to minimize fossil fuel consumption and reduce emissions. However, in order to achieve a substantial emissions reduction in international shipping, the potential applicability of a technology which utilizes a universal renewable energy resource on the largest ship type in international shipping fleet should be investigated. This research focuses on investigating the potential of Solar Photovoltaic technology on dry bulk carriers using a developed methodology and Levelised cost of energy concept as the basis for comparison. The results of this research can be used to guide decision makers about the potentials of Solar Photovoltaic technology on dry bulk carriers in general whilst its developed methodology may be useful in the specific context for determining which ships and under what circumstances solar PV is an option.

scholarly journals Tracking of Maximum Power Point in Solar PV (SPV) Systems using Perturb & Observe (PO) and Incremental Conductance (IC) Method

2019 ◽  
Vol 8 (12) ◽  
pp. 613-618
Keyword(s):  
Electrical Energy ◽  
Maximum Power ◽  
Energy Utilization ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Tracking Time ◽  
Power Point ◽  
Number Of Publications

The solar energy being clean, green & commercially modest, have become one of the most prevalent choice amongst the renewable sources of electrical energy. Utilization of energy generated from Solar photovoltaic (SPV) system rest on the maximum extraction of the power generated. Ideal maximum power point (MPP) tracking (MPPT) is used to transfer 100% generated power from source and transfer it to load. In literature of recent years, a good number of publications found on SPV systems and MPPT. In this paper most popular MPPT techniquesPerturb & Observe (PO) and Incremental Conductance (IC) methods are simulated and implemented. The comparison is also presented on the ground of parameters like tracking time, tracking efficiency etc.

scholarly journals Factors Influencing Solar Photovoltaic Utilization for Energy Services among Residentials in Akure, Nigeria

2020 ◽  
pp. 14-28
Author(s):  
Olalekan Aquila Jesuleye ◽  
Arigbede, Olutosin Foluso ◽  
Adepoju, Adeyemi Oluwaseun
Keyword(s):  
Analysis Data ◽  
Government Support ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Energy Services ◽  
Power Failure ◽  
Energy Technologies ◽  
Factors Influencing ◽  
Energy Service ◽  
Ondo State

Aims: Residential sector is the largest electricity consumer in Nigeria. But they also contribute heavily to the climate change through their choice of energy. Mostly prefer source is the fossil fuel for electricity generation despite the growing awareness of the need to reduce greenhouse gas emissions by embracing renewable energy technologies across the globe. Hence, this study investigated the factors influencing solar PV utilization in Akure. Study Design: The study employed a survey research design. Place and Duration of Study: Three residential estates in Akure, Ondo State, Nigeria formed the study areas. The study was conducted between June 2019 and July 2019. Methodology: The study surveyed 292 households located in the three residential estates in Akure, Ondo State and 219 retrieved questionnaire were found usable for the analysis. Data was analysed using the mean ranking of the influencing factors. Results: The results revealed that the highest ranking factor influencing utilization of Solar PV for energy services is that Solar PV is a good backup against power failure. This is as a result of the erratic power supply in Nigeria which has not only failed to meet the need of household but also hampered economic growth. However, the least ranking factor influencing solar PV utilization for energy services is Ability to sell electricity to the national grid. Conclusion: Cooperation between private enterprises and relevant government agencies supported by ‘political will’ is required to promote the aforementioned factors influencing the solar PV utilization for energy services in Nigeria. Utilization of solar PV as an energy source for energy service ensure access to affordable, reliable, sustainable and modern energy for all. The research recommended that government support for solar PV intervention should be further encouraged.

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