Optimizing photovoltaic power plant site selection using analytical hierarchy process and density-based clustering – Policy implications for transmission network expansion, Ghana

Agyekum, Ephraim Bonah; Amjad, Fahd; Shah, Liaqat Ali; Velkin, Vladimir Ivanovich

doi:10.1016/j.seta.2021.101521

Cited by 14 publications

(8 citation statements)

References 63 publications

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“…To begin, the type, position, size, and amount of surface defects in HMP were generated as a paired comparison matrix, which ideally represented the effect of surface defects on HMP surface quality, setting a suitable basis for the future quality evaluation. Second, unlike traditional evaluation models that use the same standard to evaluate the parameters, 28,29) our study found that different calculation methods were used for different types of index scores, such as scratches, transverse cracks, longitudinal cracks, scarring, folding, and so on, which have a noticeable impact on HMP quality. Because length has a direct impact on the plates, TCD, LCD, and SRD flaws are determined by length for a quality grade.…”

Section: Resultsmentioning

confidence: 89%

“…23) The main idea is to figure out how to put together the SQE model based on the online detection findings of surface defects in HMP. Analytic hierarchy process (AHP) models, a multi-criterial decision making (MCDM) method, 24) were widely used in banks, manufacturing systems, operators' evaluation, software evaluation, website performance evaluation, strategy selection, supplier selection, organizational performance evaluation, staff recruitment, construction method selection, warehouse selection, technology evaluation, route planning, project selection, and customer requirement rating, [25][26][27][28][29] surface water absorption test. 30,31) The practice of evaluating quantitative and qualitative criteria and alternatives on the same preference scale is the primary advantage of AHP.…”

Section: Surface Quality Evaluation Of Heavy and Medium Plate Using A...mentioning

confidence: 99%

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Surface Quality Evaluation of Heavy and Medium Plate Using an Analytic Hierarchy Process Based on Defects Online Detection

Zhou

Zhang³

et al. 2022

ISIJ Int.

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Heavy and medium plate (HMP) is a valuable and irreplaceable material that is widely used in pipelines, bridges, ships, building construction, and power plants. The quality of a plate's surface is closely related to its strength, hardness, and corrosion resistance. HMP is still trimming to length after the continuous casting process. The goal of this research is to evaluate surface quality quickly by combining online detection information of normal and periodic defects with professional quality control skills. To begin, this study creates a set of assessment criteria for HMP surface quality based on length, total defect area, and total area of various types of surface defects on the plate. The analytic hierarchy process (AHP) is then developed to identify based on the operator's experience and expert knowledge, the weights of the classified defects are then determined using the analytic hierarchy process (AHP). Finally, the evaluation grades for each plate may be calculated. The evaluation findings may benefit not only in improving production efficiency, lessening labor intensity, and reducing waste caused by cutting to length, but also in boosting the intelligent control capability of the HMP manufacturing technique.

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Section: Resultsmentioning

confidence: 89%

Section: Surface Quality Evaluation Of Heavy and Medium Plate Using A...mentioning

confidence: 99%

Surface Quality Evaluation of Heavy and Medium Plate Using an Analytic Hierarchy Process Based on Defects Online Detection

Zhou

Zhang³

et al. 2022

ISIJ Int.

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“…Hernandez et al (2015) and Dupont et al (2020). Other studies, however, often exclude agricultural areas in their a-priori PV potential assessment (Aly et al 2017, Tröndle et al 2019, Agyekum et al 2021 because of potential land-use conflicts. In their empirical regression of small-scale PV occurrence in Switzerland, Thormeyer et al (2020) show a positive correlation between agriculture and the number of PV projects, thus showing that, in reality, the presence of agriculture is a positive indicator of PV occurrence.…”

Section: Determinants Of Utility-scale Pv Distributionmentioning

confidence: 99%

“…protected areas), and economic factors (investments and other costs) (e.g. Hernandez et al 2015, Köberle et al 2015, Al Garni and Awasthi 2017, Aly et al 2017, Agyekum et al 2021. Studies of regional or global PV potential often use a-priori suitability maps based on these (bio)physical and economic determinants (e.g.…”

Section: Introductionmentioning

confidence: 99%

Determinants of the distribution of utility-scale photovoltaic power facilities across the globe

Bosmans

Schipper

Mielke

et al. 2022

Environ. Res. Lett.

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Photovoltaic power (PV) is the fastest-growing source of renewable electricity. Making reliable scenarios of PV deployment requires information on what drives the spatial distribution of PV facilities. Here we empirically derive the determinants of the distribution of utility-scale PV facilities across six continents, using a mixed effects logistic regression modelling approach relating the occurrence of over 10 000 PV facilities to a set of potential determinants as well as accounting for country and spatially correlated random effects. Our regression models explain the distribution of PV facilities with high accuracy, with travel times to settlements and irradiation as the main determinants. In contrast, our results suggest that land cover types are not strong determinants of the PV distribution, except for Asia and Africa where the PV distribution is related to the presence of agriculture, short natural vegetation and bare land. For Europe and Asia a considerable part of the variance in PV distribution is explained by inter-country differences in factors not included in our fixed determinants. Relevant determinants identified in our study are in line with the main assumptions made in cost of electricity (COE) maps used in the IMAGE integrated assessment model (IAM). However, we found correlations (Spearman ρ) of −0.18–0.54 between our PV probability maps and IMAGE’s COE maps. These may partly be explained by conceptual differences between our empirically-derived probability maps and the COE maps, but we also recommend using higher-resolution maps of PV potential and COE computations such as used in IAMs.

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“…However, land grading and construction can significantly increase capital investment. Hence, construction of large-scale solar power plant often required vast flat land with low slope, since high slopes make it difficult for logistics, constriction, and the right angle of panels [107]. Moreover, land surface temperature was indicated as important since it prevents energy loss derived from heat under PV panels [59].…”

Section: Relationship Between Climate Risks and Site Selectionmentioning

confidence: 99%

Points of Consideration on Climate Adaptation of Solar Power Plants in Thailand: How Climate Change Affects Site Selection, Construction and Operation

2021

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Solar energy is planned to undergo large-scale deployment along with Thailand’s transformation to a carbon neutral society in 2050. In the course of energy transformation planning, the issue of energy infrastructure adaptation to climate change has often been left out. This study aims to identify climate-related risks and countermeasures taken in solar power plants in Thailand using thematic analysis with self-administered observations and structured interviews in order to propose points of consideration during long-term energy planning to ensure climate adaptation capacity. The analysis pointed out that floods and storms were perceived as major climate events affecting solar power plants in Thailand, followed by lightning and fires. Several countermeasures were taken, including hard countermeasures that require extensive investment. Following policy recommendations were derived from the climate-proofing investment scenario study. Policy support in terms of enabling regulations or financial incentives is needed for implementation of climate-proofing countermeasures. Public and private sectors need to secure sufficient budget for fast recovery after severe climate incidents. Measures must be taken to facilitate selection of climate-resilient sites by improving conditions of power purchase agreement or assisting winning bidders in enhancing climate adaptability of their sites. These issues should be considered during Thailand’s long-term energy planning.

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Optimizing photovoltaic power plant site selection using analytical hierarchy process and density-based clustering – Policy implications for transmission network expansion, Ghana

Cited by 14 publications

References 63 publications

Surface Quality Evaluation of Heavy and Medium Plate Using an Analytic Hierarchy Process Based on Defects Online Detection

Surface Quality Evaluation of Heavy and Medium Plate Using an Analytic Hierarchy Process Based on Defects Online Detection

Determinants of the distribution of utility-scale photovoltaic power facilities across the globe

Points of Consideration on Climate Adaptation of Solar Power Plants in Thailand: How Climate Change Affects Site Selection, Construction and Operation

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