A framework of photovoltaics recycling facility location optimization

Guo, Qi; Kluse, Christopher

doi:10.1016/j.spc.2020.04.003

Cited by 21 publications

(7 citation statements)

References 20 publications

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“…In this case, the transportation of heavy modules over long distances was not required. This is consistent with what has been found in [46,47] for economical and in [76] for environmental parameters of recycling. By comparing the results from Tables 3 and 4, we can conclude that CdTe panels are preferable over silicon panels for the full life cycle (with EoL stage) in most categories of environmental impacts.…”

Section: Pv Panels Lcasupporting

confidence: 92%

“…Only when such volumes are achieved, the cost of processing decreases due to the economies of scale. The economic feasibility of recycling an entire PV panel is much higher than the expediency of recycling PV modules only, since the metal frame and electrical cables are easier to recycle, and the recovered materials (aluminum, copper) are valued higher [46,47]. The economic feasibility of recycling silicon panels substantially depends on the price of new modules, which has fallen significantly in recent years.…”

Section: Modern Technologies Of Pv Panel Recyclingmentioning

confidence: 99%

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Eco-Design of Energy Production Systems: The Problem of Renewable Energy Capacity Recycling

et al. 2020

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Due to the rapid development of recycling technologies in recent years, more data have appeared in the literature on the environmental impact of the final stages of the life cycle of wind and solar energy. The use of these data in the eco-design of modern power generation systems can help eliminate the mistakes and shortcomings when planning wind and solar power plants and make them more eco-efficient. The aim of this study is to extend current knowledge of the environmental impacts of most common renewables throughout the entire life cycle. It examines recent literature data on life cycle assessments of various technologies for recycling of wind turbines and photovoltaic (PV) panels and develops the recommendations for the eco-design of energy systems based on solar and wind power. The study draws several general conclusions. (i) The contribution of further improvements in PV’s recycling technologies to environmental impacts throughout the entire life cycle is insignificant. Therefore, it is more beneficial to focus further efforts on economic parameters, in particular, on achieving the economic feasibility of recycling small volumes of PV-waste. (ii) For wind power, the issue of transporting bulky components of wind turbines to and from the installation location is critical for improving the eco-design of the entire life cycle.

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Section: Pv Panels Lcasupporting

confidence: 92%

Section: Modern Technologies Of Pv Panel Recyclingmentioning

confidence: 99%

Eco-Design of Energy Production Systems: The Problem of Renewable Energy Capacity Recycling

et al. 2020

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“…The wider acceptance and deployment of agrivoltaics will further aggravate the e-waste generated by solar panel disposal. As per the Central Pollution Control Board (CPCB), India only recycles 4% of its total e-waste by the organized sector [110]. Hence, at this time, it appears that India is not prepared to handle the mass e-waste generated by solar systems [111].…”

Section: Solar Systems After Decommissioningmentioning

confidence: 99%

Agrivoltaics: A Climate-Smart Agriculture Approach for Indian Farmers

Mahto

Sharma

John

et al. 2021

Land

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India is a leader when it comes to agriculture. A significant part of the country’s population depends on agriculture for livelihood. However, many of them face challenges due to using unreliable farming techniques. Sometimes the challenges increase to the extent that they commit suicide. Besides, India is highly populated, and its population is steadily increasing, requiring its government to grow its GDP and increase its energy supply proportionately. This paper reviews integrating solar farming with agriculture, known as Agrivoltaics, as a Climate-Smart Agriculture (CSA) option for Indian farmers. This study is further supported by the Strength, Weaknesses, Opportunities, and Threats (SWOT) analysis of agrivoltaics. Using the SWOT analysis, this article presents how agrivoltaics can make agriculture sustainable and reliable. This paper identifies rural electrification, water conservation, yield improvement, sustainable income generation, and reduction in the usage of pesticides as the strengths of agrivoltaics. Similarly, the paper presents weaknesses, opportunities, and threats to agrivoltaics in India. The research concludes with the findings that agrivoltaics have the potential of meeting multiple objectives such as meeting global commitments, offering employment, providing economic stability, increasing clean energy production capacity, conserving natural resources, and succeeding in several others. The paper also includes a discussion about the findings, suggestions, and implications of adopting agrivoltaics on a large scale in India.

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“…A clonal selection-based algorithm was proposed to solve the real-life dynamic facility layout problem. In the end, numerical results were obtained, and the proposed method was reported to have a more appropriate performance than other techniques [12][13][14][15][16][17]. Neghabi and Tari [5] presented a new adjacency and closeness rating phenomenon for constructing the optimal facility layout design.…”

Section: Introductionmentioning

confidence: 99%

Development of an Adaptive Genetic Algorithm to Optimize the Problem Of Unequal Facility Location

Budi

Elveny

Zhuravlev

et al. 2022

Foundations of Computing and Decision Sciences

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The problem of unequal facility location involves determining the location of a set of production equipment whose dimensions are different, as well as the interrelationships between each of them. This paper presents an efficient method for optimizing the problem of unequal facility layouts. In this method, the genetic algorithm is improved and developed into an adaptive genetic algorithm. In this algorithm, the mutation operator is applied only when the similarity of chromosomes in each population reaches a certain level. This intelligence prevents jumps in situations where they are not needed and reduces computational time. In order to measure the performance of the proposed algorithm, its performance is compared with the performance of conventional genetic algorithms and refrigeration simulators. Computational results show that the adaptive genetic algorithm is able to achieve higher-quality solutions.

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A framework of photovoltaics recycling facility location optimization

Cited by 21 publications

References 20 publications

Eco-Design of Energy Production Systems: The Problem of Renewable Energy Capacity Recycling

Eco-Design of Energy Production Systems: The Problem of Renewable Energy Capacity Recycling

Agrivoltaics: A Climate-Smart Agriculture Approach for Indian Farmers

Development of an Adaptive Genetic Algorithm to Optimize the Problem Of Unequal Facility Location

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