scholarly journals Racial formation, coloniality, and climate finance organizations: Implications for emergent data projects in the Pacific

2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110276
Author(s):  
Kirsty Anantharajah
Keyword(s):  
Energy Resource ◽  
Racial Formation ◽  
Ethnographic Research ◽  
Climate Finance ◽  
Allocation Of Resources ◽  
Potential Consequence ◽  
Renewable Energy Resource ◽  
The Pacific ◽  
Global North ◽  
Key Resources

This commentary explores the potential consequence of latent racial formation in emergent climate finance data projects and draws from ethnographic research on climate finance governance conducted in Fiji. Climate finance data projects emerging in the Pacific aim to ease the flow of finance from the Global North to the South. These emergent data projects, such as renewable energy resource availability and investment mapping, are imbedded in the climate finance organizations that fund, develop, and use them. Thus, the commentary explores climate finance organizations through the lens of Ray’s (2019) theory of racial organizations, highlighting the ways in which important climate-related resources are mediated through racial and colonial schemas. The racial mediation of two key resources are spotlighted in this discussion: the finance itself and knowledge. Given that the Pacific region is at the coalface of climate change’s existential effects, the just allocation of resources is imperative. In interrogating the ways in which emergent data projects may deny these resources based on hidden racial schemas, the paper cautions against new and old forms of colonization that may be mobilized through even well-meaning techno-benevolent fixes ( Benjamin, 2019 ).

Oceans and Landless Farms: Linking Southern and Northern Shadow Places of Industrial Livestock (1954–1975)

2020 ◽  
Author(s):  
Floor Haalboom
Keyword(s):  
Animal Feed ◽  
Marine Ecosystem ◽  
Global South ◽  
Humboldt Current ◽  
The Public ◽  
The Pacific ◽  
Production And Consumption ◽  
Boom And Bust ◽  
History Of ◽  
Global North

This article argues for more extensive attention by environmental historians to the role of agriculture and animals in twentieth-century industrialisation and globalisation. To contribute to this aim, this article focuses on the animal feed that enabled the rise of ‘factory farming’ and its ‘shadow places’, by analysing the history of fishmeal. The article links the story of feeding fish to pigs and chickens in one country in the global north (the Netherlands), to that of fishmeal producing countries in the global south (Peru, Chile and Angola in particular) from 1954 to 1975. Analysis of new source material about fishmeal consumption from this period shows that it saw a shift to fishmeal production in the global south rather than the global north, and a boom and bust in the global supply of fishmeal in general and its use in Dutch pigs and poultry farms in particular. Moreover, in different ways, the ocean, and production and consumption places of fishmeal functioned as shadow places of this commodity. The public health, ecological and social impacts of fishmeal – which were a consequence of its cheapness as a feed ingredient – were largely invisible on the other side of the world, until changes in the marine ecosystem of the Pacific Humboldt Current and the large fishmeal crisis of 1972–1973 suddenly changed this.

scholarly journals Fault Simulations in a Multiterminal High Voltage DC Network with Modular Multilevel Converters Using Full-Bridge Submodules

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1653
Author(s):  
Ioan-Cătălin Damian ◽  
Mircea Eremia ◽  
Lucian Toma
Keyword(s):  
High Voltage ◽  
Energy Resource ◽  
Fault Analysis ◽  
Renewable Energy Resource ◽  
Dynamic Simulations ◽  
Multilevel Converters ◽  
Strong Focus ◽  
Modular Multilevel Converters ◽  
Overhead Power Lines ◽  
And Control

The concept of high-voltage DC transmission using a multiterminal configuration is presently a central topic of research and investment due to rekindled interest in renewable energy resource integration. Moreover, great attention is given to fault analysis, which leads to the necessity of developing proper tools that enable proficient dynamic simulations. This paper leverages models and control system design techniques and demonstrates their appropriateness for scenarios in which faults are applied. Furthermore, this paper relies on full-bridge submodule topologies in order to underline the increase in resilience that such a configuration brings to the multiterminal DC network, after an unexpected disturbance. Therefore, strong focus is given to fault response, considering that converters use a full-bridge topology and that overhead power lines connect the terminals.

scholarly journals Predictive Modelling and Surface Analysis for Optimization of Production of Biofuel as A Renewable Energy Resource: Proposition of Artificial Neural Network Search

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Sri Krishna Murthy ◽  
Ankit Goyal ◽  
N. Rajasekar ◽  
Kapil Pareek ◽  
Thoi Trung Nguyen ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Ethyl Ester ◽  
Global Sensitivity Analysis ◽  
Catalyst Concentration ◽  
Energy Resource ◽  
Predictive Modelling ◽  
Renewable Energy Resource ◽  
Network Search ◽  
Ester Yield ◽  
Time Of Reaction

The present study undertakes the research problem on the optimization of production of biodiesel as a renewable energy resource from the transesterification of soybean oil and ethanol. Predictive modelling and surface analysis techniques were applied based on the artificial neural network search algorithm to correlate the yield of ethyl ester and glycerol and the input parameters. The formulated models accurately predicted the yield of the products with a high coefficient of determination. When the reaction time is low, the ester yield decreases with an increase in temperature and the maximum yield of obtained biodiesel at a very low value of time of reaction and temperature. Plots based on parametric and sensitivity analysis reveals that the yield of ethyl ester can be maximized and that of glycerol minimized at an integrated condition with lower ethanol/oil molar ratio, higher temperature value, higher catalyst concentration value, and longer time of reaction. The global sensitivity analysis reveals that the catalyst concentration and temperature of the reaction influence the yield of ethyl ester the most. In addition, an optimal ethyl ester yield of 95% can be achieved at specific input conditions. Moreover, according to the results of global sensitivity analysis, the catalyst concentration is found to be most significant for both the glycerol and ethyl ester yield.

scholarly journals The Wind Power Industry : An Overview, Major Issues and Strategies Adopted with Specific Reference to India

2012 ◽  
pp. 265-272
Author(s):  
Aswini Kumar Dash ◽  
Biswajit Das
Keyword(s):  
Wind Turbine ◽  
Wind Power ◽  
World Wide ◽  
Energy Resource ◽  
Power Industry ◽  
Specific Reference ◽  
Renewable Energy Resource ◽  
The World ◽  
Wind Power Industry ◽  
Turbine Installation

With the increase in awareness about protecting our environment and the support for the cause by all major economies of the world through the Kyoto Protocol, the importance of wind power has grown in stature since it is clean and the most viable renewable energy resource. The global annual market of new wind turbine installation is more than US$ 40 billion at current prices, considering world-wide installations of about 40000 MW annually. This paper reviews the growth of the wind power industry globally as well as in India. The opportunities for investment in this industry and problems associated with it are also discussed with specific reference to India. In the second part of this paper, the business model of two of the major wind turbine manufacturers of India, Suzlon Energy Limited, and Enercon India Limited are discussed and their strategies are compared.

Banana biomass as potential renewable energy resource: A Malaysian case study

2010 ◽  
Vol 14 (2) ◽  
pp. 798-805 ◽  
Author(s):  
Jing Yan Tock ◽  
Chin Lin Lai ◽  
Keat Teong Lee ◽  
Kok Tat Tan ◽  
Subhash Bhatia
Keyword(s):  
Renewable Energy ◽  
Energy Resource ◽  
Renewable Energy Resource
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