Design and analysis of a renewable energy power system for shale oil exploitation using hierarchical optimization

Yang, Xiyun; Liu, Siqu; Zhang, Le; Su, Jianzheng; Ye, Tianze

doi:10.1016/j.energy.2020.118078

Cited by 22 publications

(10 citation statements)

References 22 publications

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“…El precio del combustible puede variar por disposiciones políticas o dinámicas de oferta y demanda a nivel mundial; tal como mencionan Murty y Kumar [49] y Masrur et al [50], un mayor valor del combustible incrementa el costo de operación del grupo electrógeno y, por Página 6 | 28 ende, del CPN y el COE. y las variables económicas (tasa de descuento y tasa de inflación) pueden influir en los flujos de caja del proyecto [46], [51]; tal como exponen Son et al [52] el incremento de la tasa de inflación aumenta el COE, mientras Chaurasia et al [53] indican que el incremento de la tasa de inflación aumenta el CPN.…”

Section: Página 5 | 28unclassified

Dimensionamiento y análisis de sensibilidad de una microrred aislada usando HOMER Pro

García-García¹,

Osma-Pinto²

2023

TecnoL.

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En años recientes, ha incrementado la implementación y el estudio de microrredes (MR). Su dimensionamiento depende de los datos de entrada (ej., demanda, microclima, costos y restricciones), por lo que la variación de uno o más de estos pueden modificar la solución óptima de la MR y su operación esperada. Tal variación se presenta debido al contexto económico, tecnológico o climático, por lo que, se propuso hacer un análisis de sensibilidad que caracterice su impacto. Con el fin de aportar en la aplicación del análisis de sensibilidad en proyectos de MR, el objetivo de este trabajo consistió en estudiar el impacto de siete variables de sensibilidad (irradiación solar, velocidad del viento, temperatura ambiente, estado de carga mínimo del banco de baterías, precio del combustible, tasa de descuento y tasa de inflación) sobre el dimensionamiento e indicadores económicos y operativos de una MR aislada para usuarios residenciales en un municipio rural de Colombia. El análisis se realizó a partir del uso de la herramienta HOMER Pro, siendo los principales indicadores analizados: costo presente neto, costo de energía, costo de capital, costo de operación y fracción renovable. Los resultados permitieron identificar que las variables más influyentes para el caso de estudio son: precio del combustible, tasa de inflación, tasa de descuento e irradiación solar; asimismo, apreció la utilidad de HOMER Pro para este tipo de análisis y la conveniencia de la representación gráfica para estudiar el impacto de las variables de sensibilidad. En conclusión, la variación de los datos de entrada influye en la factibilidad de resultados, como por ejemplo, el costo presente neto disminuye con el aumento del precio del combustible, la temperatura ambiente o la tasa de inflación, mientras que aumenta con la reducción del estado de carga mínimo, la irradiación solar o la tasa de descuento.

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Section: Página 5 | 28unclassified

Dimensionamiento y análisis de sensibilidad de una microrred aislada usando HOMER Pro

García-García¹,

Osma-Pinto²

2023

TecnoL.

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“…Particle Swarm Optimization Algorithm. e particle swarm optimization algorithm [48] has the advantages of easy implementation, simple algorithm, and fewer parameters and can effectively solve global optimization problems.…”

Section: Assuming a Finite Training Set Containing N Observationsmentioning

confidence: 99%

Optimization of the Hollow Rectification Sill in the Forebay of the Pump Station Based on the PSO‐GP Collaborative Algorithm

Wang

Lü

Wang

et al. 2021

Shock and Vibration

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The layout of the pump station is easily affected by topography, site, and other factors, resulting in poor inlet flow patterns in the forebay, which seriously affect the normal operation of the pump station. To optimize its inlet flow pattern, the size of the hollow rectification sill has been continuously improved through physical model tests to meet the requirements of the required pump station inlet flow field. In this paper, particle swarm optimization (PSO) was combined with the Gaussian process (GP) to establish a particle swarm-Gaussian process (PSO-GP) model to predict the velocity uniformity of the inlet sump of pump stations with different hole-to-height ratios, hole-to-width ratios, upper-to-lower sill length ratios, and sill height-to-water table ratios. Finally, the hollow rectification sill with the optimal size was obtained and tested in the physical model to compare the rectification effect with other sizes of hollow sills. The results show that the algorithm model can help the traditional physical experiment quickly predict the velocity uniformity of the inlet sump of the pump station. Through the optimization by the PSO-GP algorithm, we can get the optimal size of the hollow rectification sill. Its hole-to-height ratio is 0.62, its hole-to-width ratio is 0.37, upper-to-lower sill length ratio is 0.63, and sill height-to-water table ratio is 0.23. It shows that this method is practical in the optimization design of the hollow rectification sill and provides a new method for the optimization of the flow field in the forebay of the pump station.

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“…Oil shale releases much higher amounts of ash compared with coal (per mass unit); however, oil shale is much more abundant throughout the world . Oil shale (calculated based on the oil shale produced in situ) has served as an alternative energy source, producing about 400 billion tons of oil worldwide, which is larger than any traditional crude oil source (estimated at more than 300 billion tons). , As already mentioned, oil shale combustion results in appreciably higher emission of pollutants compared to other fossil fuels including relatively large amounts of ash as a residues, and thus, the contribution of oil shale to energy production worldwide is relatively small …”

Section: Introductionmentioning

confidence: 99%

Neutralization of Acidic Industrial Wastes and Fixation of Trace Element by Oil Shale Ash: Formation of a Green Product

Nov,

Hassid,

Barak

et al. 2023

ACS Omega

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Oil shale is a rock that contains organic matter in a concentration that allows it to be used as an energy source. As a result of the shale combustion process, large amounts of two types of ash are formed: fly ash (∼10%) and bottom ash (∼90%). At present, in Israel, only fly oil shale ash is used, which constitutes a minority of the oil shale burn products, whereas bottom oil shale ash is accumulated as waste. Bottom ash contains a high percentage of calcium in the form of anhydrite (CaSO4) and calcite (CaCO3). Thus, it can be used to neutralize acidic waste and to fix trace elements. This study examined the process of scrubbing the acid waste by the ash, its characterization pre- and post-upgrade treatment, to test its suitability as a partial substitute for aggregates, natural sand, and cement in concrete mixtures. In the current study, we compared the chemical and physical characterization of oil shale bottom ash before and after upgrading the ash via chemical treatment. In addition, its utilization as a scrubbing reagent for acidic wastes from the phosphate industry was studied.

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Design and analysis of a renewable energy power system for shale oil exploitation using hierarchical optimization

Cited by 22 publications

References 22 publications

Dimensionamiento y análisis de sensibilidad de una microrred aislada usando HOMER Pro

Dimensionamiento y análisis de sensibilidad de una microrred aislada usando HOMER Pro

Optimization of the Hollow Rectification Sill in the Forebay of the Pump Station Based on the PSO‐GP Collaborative Algorithm

Neutralization of Acidic Industrial Wastes and Fixation of Trace Element by Oil Shale Ash: Formation of a Green Product

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