Renewable Energy and International Law: Should a Global Regulatory Framework Be Established?

Ibrahim, Imad Antoine; Ötvös, Tivadar

doi:10.2139/ssrn.4118146

Cited by 2 publications

(4 citation statements)

References 35 publications

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“…Prior to obtaining the equations of the QSY network, expressions for V C1 and V C2 need to be obtained, considering that the voltage drop on the equivalent series resistances can be neglected on the steady state under voltage compensation control scheme. Applying Kirchhoff's Voltage Law (KVL) on the circuit depicted in Figure 3a, the expression for N 1 winding voltage in the shoot-through state V N1.st can be approximated as (1). In the same way, but considering the circuit shown in Figure 3b, the N 1 voltage in the active state V N1.a can be written as (2).…”

Section: Component Expressionmentioning

confidence: 99%

“…Demand for energy was never so critical as today, and technological challenges regarding the utilization of distributed renewable generation must be overcome to diminish the utilization of fossil fuels [1]. Despite the many issues related to this topic, one common characteristic that is particular for popular distributed renewable sources, such as solar panels, fuel cells, or batteries, is the comparatively low voltage levels provided by these resources, which adds additional technical constraints when connecting them to the main grid, through grid-connected inverters (GCI), for example.…”

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Small-Signal Model Formulation and Analysis for the Quasi-Y Impedance-Source Inverter

et al. 2023

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This paper presents a detailed derivation of the small-signal model and components design considerations for the quasi-Y-source inverter. The design methodology is based on the converter steady-state operation, considering the impedance network inductor and capacitor voltage and charge balances, respectively. Moreover, the additional design criteria for component selection, considering control constraints and performance compromise, are given by parametric variation analysis based on converter dynamic response. The small-signal model and transfer functions are obtained using a state-space averaged model, including converter non-ideal characteristics given by equivalent-series resistances (ESR), which makes possible the proposition of different control strategies, using both single or multi-loop schemes. To demonstrate the usefulness of the proposed small-signal model, a DSP-based single-loop type-II PI control strategy is used in which the peak DC-link voltage is indirectly controlled through the measurement of the impedance network capacitor voltage. The controller and converter performances are verified with simulation and experimental results and successfully confirm the validity of the proposed dynamic model. Finally, the obtained results are validated with a built small-scale three-phase/three-wire inverter prototype.

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Section: Component Expressionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comprehensive Small-Signal Model Formulation and Analysis for the Quasi-Y Impedance-Source Inverter

et al. 2023

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“…Developing countries drive energy consumption, contributing to more than 100% of world demand growth (Scheffran et al 2020). Fossil fuels contribute approximately 66% of energy demand (Ibrahim 2021). Coal provides around a quarter of the world's primary energy and two-fths of its electricity, making it the most dominating fuel for power generation (IEA 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Global energy demand has risen dramatically, from 8588.9 million tonnes of oil equivalent (Mtoe) in 1995 to 13147.3 Mtoe in 2015, with yearly consumption expected to reach 13865 Mtoe in 2023 (Ahmad & Zhang 2020; Ritchie et al 2020; The World Counts 2024). Global energy consumption is expected to increase from 1-2% annually (Ibrahim 2021). Developing countries drive energy consumption, contributing to more than 100% of world demand growth (Scheffran et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Validation of AERMOD prediction accuracy for particulate matters (PM10, PM2.5) for a large coal mine complex: A Multisource Perspective

Prasad,

Mishra,

Bhattacharya

et al. 2024

Preprint

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Particulate matter (PM) emission from coal mining activities is inevitable and a significant concern worldwide. American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) is one of the most widely used dispersion models for predicting air PM dispersion in coal mines. However, validation of AERMOD-predicted PM concentration in a large mine complex has not been reported. So, in this study, AERMOD predicted PM concentration was validated against the PM concentrations measured by nine continuous ambient air quality monitoring stations (CAAQMS) stationed in the Singrauli coal mining complex. The complex contains nine coal mines across 438 square kilometers, with around 129 pollution sources chiefly from the area, pit, and line categories. PM10 and PM2.5 concentrations peak during summer (204.58 µg/m3) and winter (67.67 µg/m3), respectively. The AERMOD model predicts peak dispersion of PM10 (500–1200 µg/m3) and PM2.5 (100–800 µg/m3) during the winter season. The AERMOD model reveals that the region's wind movement caused by land and lake breezes was the predominant driver of PM surface dispersion. In the winter season, atmospheric inversion increases ground-level PM concentrations in the region. The AERMOD cannot represent the vertical dispersion of PMs in the summer, resulting in an underestimation of PM concentration. The statistical validation shows that AERMOD underestimates PM10 and PM2.5 concentrations across all seasons and years. The AERMOD model's prediction accuracy for PM10 (R2 = 0.38) and PM2.5 (R2 = 0.56) is also low. Finally, it can be concluded that AERMOD-predicted PM concentrations are not accurate for large mining complexes but more suitable for individual mines.

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Renewable Energy and International Law: Should a Global Regulatory Framework Be Established?

Cited by 2 publications

References 35 publications

A Comprehensive Small-Signal Model Formulation and Analysis for the Quasi-Y Impedance-Source Inverter

A Comprehensive Small-Signal Model Formulation and Analysis for the Quasi-Y Impedance-Source Inverter

Validation of AERMOD prediction accuracy for particulate matters (PM10, PM2.5) for a large coal mine complex: A Multisource Perspective

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