Bioenergy Intensity and Its Determinants in European Continental Countries: Evidence Using GMM Estimation

Alsaleh, Mohd; Abdul‐Rahim, Abdul Samad

doi:10.3390/resources8010043

Cited by 14 publications

(3 citation statements)

References 45 publications

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“…As a new type of electricity market participant, the VPP can integrate 'source-load-storage' through a distributed power management system to achieve geographically dispersed small-capacity resource aggregation and coordinated optimization [7][8][9][10]. The VPP provides an effective solution for its large-scale grid-connected consumption and participation in market competition, which has gradually become one of the important platforms for DER and demand-side resources to participate in power system scheduling and market transactions [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China

Sun,

Dou,

et al. 2023

Energies

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Effective aggregation and rational allocation of flexible resources are the fundamental methods for solving the problem of an insufficient flexibility adjustment ability of a power system. The flexible scheduling resources of a distribution system are often small in scale and distributed mostly by different stakeholders. A virtual power plant (VPP) gathers small resources to participate in the day-ahead electricity market, but, due to the scale and characteristics of a VPP’s internal flexible resources, it cannot reach the access threshold of a peak shaving market in some periods due to small differences. In order to solve the market bidding problem of a VPP limited by capacity, and to achieve economic goals, a virtual power plant operator (VPPO) not only needs to interact with internal subjects but also needs to interact with other subjects with flexible resources in the distribution network. In this study, an electric vehicle (EV) cluster is taken as the interactive object, and a day-ahead bidding strategy of a VPP with multi-level electric energy interaction is proposed. The VPP not only makes full-time game pricing for internal participants but also makes time-sharing bargaining with an EV operator. The validity and the rationality of the proposed strategy are verified by an example.

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Section: Introductionmentioning

confidence: 99%

Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China

Sun,

Dou,

et al. 2023

Energies

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“…Khan et al concentrated on the connection between financial development and natural maintainability based on panel data of 43 different countries around the world [3]; Wang et al studied the relationship between foreign opening and green technological progress based on the comparison of two countries [4]; Huang and Hua studied the bioenergy intensity of European countries [5]; from the study of China, at the macronational level, Yuan and Xiang explored the impact of FDI on carbon emissions in China [6]; at the regional and provincial levels, Sun et al studied the impact of innovation on ecoefficiency from a provincial perspective [7]; Zhao et al explored the green transition in China [8]; and Cui et al studied the utility of carbon emissions on the provincial economy of China [9]. More extensive studies on China's green economy have cut from the perspective of industrial transfer [10][11][12][13][14][15][16], proposing to optimize the industrial structure and achieve industrial upgrading; some scholars have analyzed the development of green economy from the policy perspective [17][18][19], for example, how different environmental regulatory instruments affect energy efficiency. In addition, there is also literature on technological progress and firm productivity from the perspective of microfirms [20].…”

Section: Introductionmentioning

confidence: 99%

Green Economic Efficiency Evaluation Based on the GMM Model

Wang

Peng

2021

Mathematical Problems in Engineering

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This paper uses a panel data sample of 30 resource-based cities (hereinafter referred to as R-B cities) in China from 2009 to 2019, constructs the green economic efficiency level (hereinafter referred to as GEE) using the super-SBM model, incorporates the GEE value into the endogenous economic growth model, combines the difference equation and the level equation, and estimates the relationship between the green efficiency level and economic growth using the systematic GMM method. The study came to the following major conclusions: First, green development in Chinese resource-based cities is moderately high, and green economic efficiency varies by region, with a relatively low level of GEE in the central region and a relatively high level of GEE in the eastern and western regions. Second, on both static and dynamic dimensions, Chinese resource-based cities can be classified into seven types based on their level of green development. Third, the GEE of Chinese resource-based cities has a significant positive relationship with economic growth, with the effect of green economic efficiency on economic growth being stronger in the central and northeastern regions.

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“…In the perspective of exploitation increase in renewable energies [1,2], various productive crops are currently considered as bioenergy resources capable of supporting reduction in the world's dependence on fossil fuels and decrease in gas emissions, as already required in Kyoto agreement [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Water Salinization Stress on Biomass Yield of Cardoon Bio-Energetic Crops through Remote Sensing Techniques

et al. 2020

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Various species of cultivated thistle, such as Cynara cardunculus L. (cardoon), exhibit interesting features for industrial biomass production as bioenergy crops, given also their advantageous adaptation capacities to typical Mediterranean climate trends, with noticeable resilience to drought and salinization stresses. The in situ hyperspectral reflectance responses of three genotypes of cardoon plants, irrigated with water at different salinity levels, have been tested for assessing the effects on their biophysical parameters, aiming at improving the biomass yield for bioenergy production, minimizing at same time the environmental impacts and the exploitation of soils and waters resources. The leaf and canopy reflectance hyperspectral signatures, acquired at three different growth stages with biometric measurements, were statistically analyzed (ANOVA, Tukey’s test, graphs), as noise-resilient spectral indices, sensible to different plant features of interest. Their broadband versions, based on the Landsat 8 OLI and Sentinel 2 MSI satellite sensors, were also evaluated in perspective of operative and extensive remote crop monitoring from space. The results highlighted significant differences in some spectral index responses, related to different cardoon genotypes and water salt concentration. The biometric data supported by red-edge indices modelling evidenced the impact of the highest salt water concentration (200 mM/L) on the plant growth and yield.

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Bioenergy Intensity and Its Determinants in European Continental Countries: Evidence Using GMM Estimation

Cited by 14 publications

References 45 publications

Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China

Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China

Green Economic Efficiency Evaluation Based on the GMM Model

Assessing the Impact of Water Salinization Stress on Biomass Yield of Cardoon Bio-Energetic Crops through Remote Sensing Techniques

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