The greenest solar power? Life cycle assessment of foam-based flexible floatovoltaics

Hayibo, Koami Soulemane; Mayville, Pierce; Pearce, Joshua M.

doi:10.1039/d1se01823j

Cited by 7 publications

(3 citation statements)

References 80 publications

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“…This study focused specifically on land-based PV, however, the same study could be repeated for the burgeoning field of floating PV (or floatovoltaics) [30,46,60] with aquavoltaics, which is another approach to maximize surface area utility by combining PV with aquaculture [51,85]. There is already evidence that this form of PV has the potential to be environmentally superior to the land-based PV [47], which may impact public perception.…”

Section: Discussionmentioning

confidence: 99%

Do agrivoltaics improve public support for solar? A survey on perceptions, preferences, and priorities

Pascaris

Schelly

Rouleau

et al. 2022

GRN TECH RES SUSTAIN

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Agrivoltaic systems integrate agricultural production with solar photovoltaic electricity generation. Given the proven technical, economic, and environmental co-benefits provided by agrivoltaic systems, increased proliferation is anticipated, which necessitates accounting for the nuances of community resistance to solar development on farmland and identifying pathways for mitigation. Minimizing siting conflict and addressing agricultural communities’ concerns will be key in continued deployment of agrivoltaics, as localized acceptance of solar is a critical determinant of project success. This survey study assessed if public support for solar development increases when energy and agricultural production are combined in an agrivoltaic system. Results show that 81.8% of respondents would be more likely to support solar development in their community if it integrated agricultural production. This increase in support for solar given the agrivoltaic approach highlights a development strategy that can improve local social acceptance and the deployment rate of solar. Survey respondents prefer agrivoltaic projects that a) are designed to provide economic opportunities for farmers and the local community b) are not located on public property c) do not threaten local interests and d) ensure fair distribution of economic benefits. Proactively identifying what the public perceives as opportunities and concerns related to agrivoltaic development can help improve the design, business model, and siting of systems in the U.S.

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Section: Discussionmentioning

confidence: 99%

Do agrivoltaics improve public support for solar? A survey on perceptions, preferences, and priorities

Pascaris

Schelly

Rouleau

et al. 2022

GRN TECH RES SUSTAIN

View full text Add to dashboard Cite

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“…Polyethylene (PE) foams are lightweight materials with many attractive properties such as low density, impact damping, thermal insulation, and low dielectric constant. [1][2][3][4] Hence, PE foams have a wide range of applications in various fields including construction materials, thermal and/or sound insulators, packaging, automotive components, healthcare and sports equipment, etc. [5][6][7] Cross-linking is one of the important parameters that can affect the foaming behavior of PE resins.…”

Section: Introductionmentioning

confidence: 99%

Reinforcement of the thermal stability and mechanical properties of low-density polyethylene/high-density polyethylene foam using a modified calcium sulfate whisker

Xu,

Zhong,

et al. 2023

New J. Chem.

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“…Historically, when PV solar power was initially developed at the Flat-Plate Solar Array Block Program in the 1970s, the goal was to provide a sustainable As described in [17], one of the macrotrends that have increased the global ascendency of the PV industry in recent times is that, improved designs boast of increased performance. Newer PV modules are projected to operate effectively for 30 years [18][19][20]. However, irrespective of the PV module type/material technology, the modules are exposed to a wide range of environmental conditions during outdoor deployment [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Solar Photovoltaic Modules’ Performance Reliability and Degradation Analysis—A Review

2022

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The current geometric increase in the global deployment of solar photovoltaic (PV) modules, both at utility-scale and residential roof-top systems, is majorly attributed to its affordability, scalability, long-term warranty and, most importantly, the continuous reduction in the levelized cost of electricity (LCOE) of solar PV in numerous countries. In addition, PV deployment is expected to continue this growth trend as energy portfolio globally shifts towards cleaner energy technologies. However, irrespective of the PV module type/material and component technology, the modules are exposed to a wide range of environmental conditions during outdoor deployment. Oftentimes, these environmental conditions are extreme for the modules and subject them to harsh chemical, photo-chemical and thermo-mechanical stress. Asides from manufacturing defects, these conditions contribute immensely to PV module’s aging rate, defects and degradation. Therefore, in recent times, there has been various investigations into PV reliability and degradation mechanisms. These studies do not only provide insight on how PV module’s performance degrades over time, but more importantly, they serve as meaningful input information for future developments in PV technologies, as well as performance prediction for better financial modelling. In view of this, prompt and efficient detection and classification of degradation modes and mechanisms due to manufacturing imperfections and field conditions are of great importance towards minimizing potential failure and associated risks. In the literature, several methods, ranging from visual inspection, electrical parameter measurements (EPM), imaging methods, and most recently data-driven techniques have been proposed and utilized to measure or characterize PV module degradation signatures and mechanisms/pathways. In this paper, we present a critical review of recent studies whereby solar PV systems performance reliability and degradation were analyzed. The aim is to make cogent contributions to the state-of-the-art, identify various critical issues and propose thoughtful ideas for future studies particularly in the area of data-driven analytics. In contrast with statistical and visual inspection approaches that tend to be time consuming and require huge human expertise, data-driven analytic methods including machine learning (ML) and deep learning (DL) models have impressive computational capacities to process voluminous data, with vast features, with reduced computation time. Thus, they can be deployed for assessing module performance in laboratories, manufacturing, and field deployments. With the huge size of PV modules’ installations especially in utility scale systems, coupled with the voluminous datasets generated in terms of EPM and imaging data features, ML and DL can learn irregular patterns and make conclusions in the prediction, diagnosis and classification of PV degradation signatures, with reduced computation time. Analysis and comparison of different models proposed for solar PV degradation are critically reviewed, in terms of the methodologies, characterization techniques, datasets, feature extraction mechanisms, accelerated testing procedures and classification procedures. Finally, we briefly highlight research gaps and summarize some recommendations for the future studies.

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The greenest solar power? Life cycle assessment of foam-based flexible floatovoltaics

Abstract: This study presents a life cycle analysis (LCA) of a 10-MW foam-based floatovoltaics (FPV) plant installed on Lake Mead, Nevada, U.S. A material inventory of the flexible crystalline silicon (c-Si)-based...

Cited by 7 publications

References 80 publications

Do agrivoltaics improve public support for solar? A survey on perceptions, preferences, and priorities

Do agrivoltaics improve public support for solar? A survey on perceptions, preferences, and priorities

Reinforcement of the thermal stability and mechanical properties of low-density polyethylene/high-density polyethylene foam using a modified calcium sulfate whisker

Solar Photovoltaic Modules’ Performance Reliability and Degradation Analysis—A Review

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