Environmental and economic evaluation of solar panel wastes recycling

2019 ◽  
Vol 37 (4) ◽  
pp. 412-418 ◽  
Author(s):  
Çağdaş Gönen ◽  
Elif Kaplanoğlu

Owing to rising population and increasing energy demand, renewable energy resources become the most convenient and promising solution. Hence, solar power plant investments and photovoltaic module numbers have risen sharply. Turkey is one of the tight followers of the energy trends, thanks to its rising energy demand and economic power. However, the consequences of the massive plant wastes importance in term of economically and environmentally have not been understood yet. Almost 70% of the modules are formed by glass and the rest accumulates economically valuable metal materials, which are silver, aluminium and copper. These three main materials are substantially important in the overall waste. Not only the economic value, but also the environmental impacts of the mining effluents to excavate these metals are causing emission problems. As a chain reaction, the higher energy demand triggers a search for new and renewable energy resources. This is why popularity of solar energy has increased. Solar energy can be absorbed and transformed through photovoltaic modules, which contain glass and three main metals. In order to respond for the production of modules, metals are fundamental. This need triggers the need of metals mining excavations and emissions. In this respect, in the near future, thanks to the rising investments on photovoltaic modules and the CO2 emissions coming from mining, the wastes of photovoltaic modules and the need of recycling will become more important. That is why, in this study it is aimed to present environmental benefits and economic recoveries of recycling photovoltaic module in Turkey.

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Neelakandan T.R. ◽  
Pandiyarajan V ◽  
Shasi Anand Sridharan ◽  
Nagaraj Ramrao

Global energy demand and environmental concerns are the driving force for the use of alternative sustainable and ecofriendly renewable energy sources. Solar energy is the inexhaustible and CO2 emission free energy source worldwide. It produces significant environmental benefits in comparison to the conventional energy sources, thus contributing to the sustainable development of human activities. It produces clean and renewable power from the sun and benefits the environment without causing air and water pollution. Alternatives to fossil fuels reduce carbon foot print across the globe reducing emission of greenhouse gases and become ecofriendly. Solar power has attracted the largest share of new investments in solar energy across the world. This research article shows light on the solar energy sources developed by Kalasalingam Academy of Research and Education (KARE) for the effective utilization of solar energy in the campus and its impact on the reduction in carbon foot print and also the impact of green vegetation as a source of carbon sink for an ecofriendly campus.


2014 ◽  
Vol 699 ◽  
pp. 853-857 ◽  
Author(s):  
Abraham Debebe Woldeyohannes ◽  
Dereje Engida Woldemichael ◽  
Lim Chye Ing ◽  
Eng Ze Ru

This paper aims to address the issues related to renewable energy (RE) resources optimization at rural areas. A transportation algorithm is proposed in order to optimize the utilization of renewable energy and allocate various renewable energy resources to different demand stations. A rural area in Sarawak, Malaysia is selected as a pilot area for implementing the proposed method. The total annual energy demand for the pilot research area is 860,567.12 kWh, while the annual renewable energy potentially available is 879,419.48 kWh. The simulation results of this transportation model reflect that although there is a potential for solar and wind energy at the selected rural area, the model has selected hydropower and biomass as a more viable option. The results obtained from the proposed transportation model have been verified with the results of other RE studies. It is proven that the developed model could be used as a decision making tool to evaluate application of various alternative renewable energy resources and to determine the optimal location for development of these resources.


Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 627
Author(s):  
Mokhtar Said ◽  
Abdullah M. Shaheen ◽  
Ahmed R. Ginidi ◽  
Ragab A. El-Sehiemy ◽  
Karar Mahmoud ◽  
...  

Recently, the use of diverse renewable energy resources has been intensively expanding due to their technical and environmental benefits. One of the important issues in the modeling and simulation of renewable energy resources is the extraction of the unknown parameters in photovoltaic models. In this regard, the parameters of three models of photovoltaic (PV) cells are extracted in this paper with a new optimization method called turbulent flow of water-based optimization (TFWO). The applications of the proposed TFWO algorithm for extracting the optimal values of the parameters for various PV models are implemented on the real data of a 55 mm diameter commercial R.T.C. France solar cell and experimental data of a KC200GT module. Further, an assessment study is employed to show the capability of the proposed TFWO algorithm compared with several recent optimization techniques such as the marine predators algorithm (MPA), equilibrium optimization (EO), and manta ray foraging optimization (MRFO). For a fair performance evaluation, the comparative study is carried out with the same dataset and the same computation burden for the different optimization algorithms. Statistical analysis is also used to analyze the performance of the proposed TFWO against the other optimization algorithms. The findings show a high closeness between the estimated power–voltage (P–V) and current–voltage (I–V) curves achieved by the proposed TFWO compared with the experimental data as well as the competitive optimization algorithms, thanks to the effectiveness of the developed TFWO solution mechanism.


Supply of energy is able to meet the increasing demand of today’s people, which is major causes faced by world. The shortage of power can be reduced by using renewable energy resources. There are many renewable energy resources like wind, tidal and biomass energy, solar energy. The mostsignificant form of renewable source is solar energy. It has undergone a research and development in the recent years and still it is developing. Solar photovoltaic cell is device used in solar energy conversion. It converts forthrightly electrical energy from the sunlight. The efficiency of PV cell is disturbed when rise in working temperature. Temperature on the panel is inversely proportional to the power generation. The main problem met by solar cell is temperature rise. Due to this temperature the energy conversion is low. By decreasing the temperature on the surface of PV panel to enhance the electric efficiency. So, in present-day different cooling methods have been projected and verified experimentally. Several techniques have been tried, mostly based on active water and air cooling, as these are simple techniques. The main objective of this system is to increase the solar panel efficiency using water cooling method of the panel gets cooled by exchange temperature.


Author(s):  
Fahad Iqbal ◽  
Ankur Singh Rana ◽  
Shufali Ashraf Wani

The foremost issues of the twenty-first century are the ever-increasing challenging demand of electrical energy and controlling the emission of greenhouse gases (GHG). Along with these issues and with limited energy resources, it is imperative to look for non-conventional methods of power generation like from renewable energy resources. Microgrid has emerged as a new field that can meet the energy demand with a special emphasis on good power quality, reliability, and security. A major concern with the use of renewable energy resources is their intermittent nature which makes their integration and operation a challengeable task. Energy storage devices like batteries can be used to overcome the problem of intermittent nature of renewable energy resources. This chapter focusses on different aspects of renewable energy resources in detail. It analyzes the effectiveness of the proposed topology of the microgrid for health clinic load profile with the help of PVSYST software.


2006 ◽  
Vol 17 (4) ◽  
pp. 76-85 ◽  
Author(s):  
B C Cuamba ◽  
M L Chenene ◽  
G Mahumane ◽  
D Z Quissico ◽  
J Lovseth ◽  
...  

Just as with other Southern African Development Community (SADC) countries, Mozambique faces severe, interrelated problems of energy and environment linked, with massive consumption of fuel wood biomass. The conventional power grid provides less than 7% of the energy needs for the country’s 17 million inhabitants, and about 83% of the energy consumed in the country comes from biomass. Renewable energy resources can play an important role in the process of development of the country. From the vast renewable energy resources available in the country, solar energy represents one of those with the highest potential. Thus, the evaluation of the potential of solar energy systems in small-scale applications suitable for villages is a strategically good starting point for promotion of sustainable rural development. One of the major impediments in carrying out such studies is the fact that the exact behaviour of solar energy resources throughout the country has not been well studied. In this paper a general characterisation of the global, diffuse and direct solar radiation fields in Mozambique is presented. The study is based on experimental data measured by the National Institute of Meteorology (INAM) in the period 1970- 2000. For these analyses global, diffuse and direct solar radiation data from three stations along the coast line and three stations in the interior of the country have been used. The six stations were representative of the three main regions of the country, namely south, centre and north. Furthermore, sunshine hours data of one selected station was analysed.


Energy is the one of the basic requirements for sustained economic growth. To meet the growing requirement of energy, and to reduce the CO2 emission, many countries have chosen to meet its energy demand through renewable energy resources for sustainable development. Most popular renewable energy resources are solar and wind; due to the technological advancement in solar technology and its demand in the market made solar panels comparatively cheaper. One of the popular ways to extract solar power is installing solar rooftop. The main factor, which affects the performance of solar rooftop PV system, is power mismatch due to shading. In the literature, many reconfiguration methods have proposed based on electrical interconnections and physical location of the solar cell/modules. In this paper, physical-location based techniques are modified as electrical interconnection techniques and its performance is compared through experimentation at various shading patterns.


Despite of being one of the richest countries in energy resources Pakistan is facing a huge short fall of electrical energy as energy demand is increasing rapidly but increase in generation capability is much slow. Currently Pakistan is using a huge amount of non-renewable energy resources to produce electricity which is not only expensive but also affecting the environment due to by-products of this process. This is a common trend throughout the world to use renewable resources of energy as it is economical and nature friendly. This paper gives an overview of currently used methods for power generation in Pakistan and a gives a brief detail on how and in which areas of the country power generation can be done using renewable resources of energy. Cost of installing the system is also one of the most important factors but will not be discussed here because purpose of this paper is only to help the reader to know about different renewable resources of energy. Numerous types of wind turbines i.e. Bonus 300/33.4, NEG/Micon 1000/60, Vestas 600/42 and Whisper 0.9/2.13 have been statistically analyzed, for the energy they could ideally produce, under the same atmospheric conditions. The coasts of Karachi are proposed to be among the ideal, most suitable sites, for the erection of wind farms, in Pakistan. Wind-Data for the year 2003 (previously acquired through anemometers) is processed in “MATLAB” to implement the “Curve Fitting techniques” adjusting the “k” and “c”, the shape and scale parameters, respectively, of the “Weibull Distribution” so that the refined Wind-Data curves resemble the ones made by the Raw-Data, minus the anomalies. Furthermore, the refined data is then extracted to be populated in the spreadsheets for mathematical/statistical calculations


In conventional power system the transmission and distribution (T&D) losses is a major concern. Renewable energy resources placed at load centers can reduce the T&D losses. For power system planners and researchers it is essential to find the optimal size and position of renewable energy resources to be place in distribution networks. Renewable energy source such as solar energy is abundantly present in the environment. With the help of solar photovoltaic (SPV) system solar energy can be converted to electrical energy. Placement of SPV in distribution system is an interesting area for researchers and planners, the random placement of SPV in distribution system leads to more power losses and poor voltage profile. In this article mathematical modelling of time varying nature of SPV and variable load has been explained and particle swarm optimization (PSO) method is proposed to find the best size and location of the SPV system. This method is tested on IEEE 33 bus system. For the validation of result existing technique based on analytical expression is selected. It is found that PSO gives better result in compare to analytical method.


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