scholarly journals Development of Renewable Energy in China, USA, and Brazil: A Comparative Study on Renewable Energy Policies

2020 ◽  
Vol 12 (21) ◽  
pp. 9136 ◽  
Author(s):  
Gaafar Muhammed ◽  
Neyre Tekbiyik-Ersoy
Keyword(s):  
Renewable Energy ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
The United States ◽  
Policy Support ◽  
Energy Sources ◽  
Regression Analyses ◽  
Regulatory Instruments ◽  
The Usa ◽  
Installed Capacity

Countries differ in terms of their socio-economic development, population growth, and energy consumption. Many countries still depend on conventional energy to supply enough energy source for their demand, while some have made considerable progress in making the transition to renewable/sustainable energy sources. Owing to the increasing demand and drawbacks of conventional energy sources, policies can play a major role in encouraging and increasing the uptake of renewable energy (RE) technologies. In this paper, a general overview on the RE activities in the three leading countries—China, Brazil, and the United States of America (USA)—is presented. Moreover, a comparative analysis on the implementations of the RE support policies is conducted. The linear regression analysis technique is applied to develop several models for the three countries in order to investigate the effect of different policies on RE. The main contributions of this study are establishing a link between RE support policies and RE development (in terms of the installed capacity) in the three countries under study, and providing models that can be used in estimating RE development using RE policy data. In addition to this, some models are developed to investigate the relationship between RE installed capacity and the patents. The linear regression analyses suggest that RE policies promote the development of RE installed capacity in the three countries in different proportions. For example, it is found that each additional wind policy will increase the RE wind capacity in China, Brazil, and the USA by 1.63, 0.689, and 1.576 GW, respectively. Moreover, the economic instruments turn out to be more effective in promoting the RE installed capacity in the USA and Brazil, while the policy support and regulatory instruments are the most influential policy categories in China. Furthermore, the linear regression analyses indicate the existence of a positive significant relation between the number of patents and the total RE installed capacity in the three countries.

Renewable Energy on Tribal Lands: A Feasibility Study for a Biomass-to-Energy Plant on the Cocopah Reservation in Arizona

2019 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Lauren K. D’Souza ◽  
William L. Ascher ◽  
Tanja Srebotnjak
Keyword(s):  
Renewable Energy ◽  
Alternative Energy ◽  
Renewable Energy Sources ◽  
The United States ◽  
Biomass Energy ◽  
Policy Support ◽  
Small Scale ◽  
Energy Plant ◽  
Energy Projects ◽  
Alternative Investment

Native American reservations are among the most economically disadvantaged regions in the United States; lacking access to economic and educational opportunities that are exacerbated by “energy insecurity” due to insufficient connectivity to the electric grid and power outages. Local renewable energy sources such as wind, solar, and biomass offer energy alternatives but their implementation encounters barriers such as lack of financing, infrastructure, and expertise, as well as divergent attitudes among tribal leaders. Biomass, in particular, could be a source of stable base-load power that is abundant and scalable in many rural communities. This case study examines the feasibility of a biomass energy plant on the Cocopah reservation in southwestern Arizona. It considers feedstock availability, cost and energy content, technology options, nameplate capacity, discount and interest rates, construction, operation and maintenance (O&M) costs, and alternative investment options. This study finds that at current electricity prices and based on typical costs for fuel, O&M over 30 years, none of the tested scenarios is presently cost-effective on a net present value (NPV) basis when compared with an alternative investment yielding annual returns of 3% or higher. The technology most likely to be economically viable and suitable for remote, rural contexts—a combustion stoker—resulted in a levelized costs of energy (LCOE) ranging from US$0.056 to 0.147/kWh. The most favorable scenario is a combustion stoker with an estimated NPV of US$4,791,243. The NPV of the corresponding alternative investment is US$7,123,380. However, if the tribes were able to secure a zero-interest loan to finance the plant’s installation cost, the project would be on par with the alternative investment. Even if this were the case, the scenario still relies on some of the most optimistic assumptions for the biomass-to-power plant and excludes abatement costs for air emissions. The study thus concludes that at present small-scale, biomass-to-energy projects require a mix of favorable market and local conditions as well as appropriate policy support to make biomass energy projects a cost-competitive source of stable, alternative energy for remote rural tribal communities that can provide greater tribal sovereignty and economic opportunities.

Statistical Assessment of Operating Experiences of Power Reactors in France, Japan, and the United States

2004 ◽  
Author(s):  
Hitoshi Sakamoto
Keyword(s):  
United States ◽  
Linear Regression ◽  
Nuclear Power ◽  
The United States ◽  
Major Type ◽  
Regression Analyses ◽  
Statistical Assessment ◽  
Statistical Correlations ◽  
The U.S

Statistical correlations for unavailability of power reactors across countries are sought. France, Japan and the United States, are selected because of their different political climates surrounding nuclear power through the 1990s. Outage data reveal that the dominating type of outage is different in each of the countries in spite of the similar plant types. In France, unplanned, externally caused, partial outages overwhelm other types of outages in number. In Japan, planned outages dominate in terms of number and duration. Unplanned outages are the major type in the U.S. These differences are not only due to technical differences but also to differences in economic and regulatory environments. Results of linear regression analyses suggest that unavailability factors are so random that country of operation, age of reactor and type of reactor cannot predict them well. This finding seems contrasting to an earlier study in the literature.

scholarly journals An empirical analysis of grant-monitoring systems in corporate foundations: Organizational complexity and monitoring mechanisms around the world

2018 ◽  
Vol 16 (1) ◽  
pp. 87-93
Author(s):  
Marco Grumo
Keyword(s):  
Linear Regression Analysis ◽  
Public Information ◽  
The United States ◽  
Organizational Complexity ◽  
Corporate Foundations ◽  
Monitoring Process ◽  
Project Complexity ◽  
The World ◽  
The Usa ◽  
Monitoring Activities

The present research studies the grant-monitoring process in corporate foundations. This process represents a crucial activity because it influences both the effectiveness of grant implementation and the corporate foundation’s reputation. Despite this, specific literature is rare, especially regarding the antecedents of corporate foundations’ efforts in grant monitoring, project complexity, and corporate foundations. This paper is aimed at filling the literature gap by assessing the relationship between the (organizational) complexity of the financed project and the monitoring mechanisms put in place by corporate foundations around the world. The study surveyed 280 projects granted by corporate foundations in the USA and Italy during 2014-2017. The sample included public information on monitoring activities of grantees for ten foundations—four based in Italy and six in the United States. For each corporate foundation (CF), I conducted a specific analysis of websites to collect all public information on monitoring activities published by these foundations (i.e. newsletters, policies and procedures, reports of projects), developing a database of communicational units. Data were analyzed using a hierarchical linear regression analysis, starting from a base model and analyzing the differences in adjusted R-squared. This study reveals that, in corporate foundations, the intensity of grant monitoring depends on project complexity. In particular, in Italy, monitoring depends on the number of involved institutions and, in the USA, on both the number of involved institutions and the number of locations of the project. Further ideas for research about corporate foundations are offered.

scholarly journals Analysis of Influence Financial Ratios on Sharia Banking Performance in Indonesia (Empirical Study at Bank Muamalat Indonesia, Bank Syariah Mandiri, and Bank Mega Syariah)

2016 ◽  
Vol 4 (2) ◽  
pp. 135
Author(s):  
Shulhah Nurullaily
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Linear Regression ◽  
Empirical Study ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The United States ◽  
Negative Effect ◽  
The Impact

This study aims to examine the performance of Sharia Banking in Indonesia after experiencing slowing growth due to the impact of the United States crisis in 2008/2009. Factors used to measure the performance of sharia banking represented by ROA are CAR, NPF, BOPO, NM and FDR. This research uses multiple linear regression analysis with sample of research of Bank Muamalat, Bank Mega Syariah, and Bank Syariah Mandiri with the period of research from the first quarter 2008 to the fourth quarter 2011. The result of this research that is NM and FDR have positive significant effect on ROA, while BOPO has a significant negative effect on ROA, CAR and NPF have no influence on ROA.

scholarly journals Faktor-faktor yang Mempengaruhi Volume Ekspor Kopi dari Kabupaten Aceh Tengah ke Amerika Serikat

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Afriamah Afriamah ◽  
Zulkarnain Lubis ◽  
Mitra Musika Lubis
Keyword(s):  
United States ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
The United States ◽  
Least Square ◽  
Export Demand ◽  
Ordinary Least Square

Indonesia is one of the world's largest coffee producers, it can be seen from the amount of exports from Indonesia for coffee export. In the past few years, several companies have carried out massive expansion to get Gayo coffee from Central Aceh Regency and Bener Meriah. The purpose of this study was to analysis what factors influence the volume of Gayo coffee exports from Central Aceh Regency to the United States. The data collection method using the documentary method is the data obtained and viewed by the document in accordance with the variables in the research model in the period 2013-2017. Data collected is secondary data. The analytical method used is multiple linear regression with the method used is the Ordinary Least Square (OLS) Method. From the research using multiple linear regression analysis obtained that variables which have significant effect to the export demand of Gayo Coffee from the United States is Global Coffee Prices. While the production of domestic Gayo coffee, the exchange rate of dollars against the rupiah and the price of foreign Gayo coffee are not significant to the demand for export of Gayo coffee to the United States.

scholarly journals Novel method for calculating installed capacity of stand-alone renewable energy systems

2021 ◽  
Vol 21 (3) ◽  
pp. 1256
Author(s):  
Tang-Tin Dao ◽  
Q. S. Vu ◽  
Van-Duc Phan ◽  
Minh Tran
Keyword(s):  
Renewable Energy ◽  
Power Supply ◽  
Energy Systems ◽  
Energy Sources ◽  
Renewable Energy Systems ◽  
Method Of Calculation ◽  
New Energy ◽  
Novel Method ◽  
Installed Capacity ◽  
Supply Systems

<span>The use of new energy sources to replace traditional energy sources is the worldwide interest based on its irrefutable advantages, especially in regions where supply systems Power supply cannot reach. The devices installed capacity has a significant effect on the economy as well as on system operation. In this paper, formulate and solve the problem of optimizing installed capacity for devices (generators, charge controllers, storage, inverters) that are used in independent renewable energy systems. In illustrating this method of calculation, we apply it on a standalone system, i.e., it is not connected to the power supply grid.</span>

Economical performance towards capitalizing renewable energy

2013 ◽  
pp. 123-135
Author(s):  
Cristian Florea ◽  
Monica Patricia Ardeleanu ◽  
Cristina Ciovica ◽  
Alexandra Galbeaza
Keyword(s):  
Renewable Energy ◽  
Renewable Resources ◽  
Alternative Energy ◽  
Environmental Awareness ◽  
Emerging Countries ◽  
Energy Sources ◽  
Alternative Energy Sources ◽  
The Earth ◽  
The Usa ◽  
Economical Performance

In a world of technology and changing habits, but also driven by environmental awareness, renewable resources seem to be our last chance of saving the Earth. Some countries like China, the USA, Brazil or Germany have fully understood the need for alternative energy sources. Still, the emerging countries as well need to make an effort and invest in this field as soon as possible. That is why the present paper wishes to assess Romania's potential in what concerns renewable resources, emphasizing in the same time the level of some top investing countries.

scholarly journals The relationships between gross motor coordination and sport-specific skills in adolescent non-athletes

2017 ◽  
Vol 18 (4) ◽  
Author(s):  
Daniel V Chagas ◽  
John Ozmun ◽  
Luiz Alberto Batista
Keyword(s):  
Linear Regression ◽  
Motor Performance ◽  
Motor Coordination ◽  
Linear Regression Analysis ◽  
Sports Performance ◽  
Regression Analyses ◽  
Young Athletes ◽  
Gross Motor ◽  
Practical Applications ◽  
The Relationship

AbstractPurpose. While the usefulness of gross motor coordination score as predictor of sports performance in young athletes has been demonstrated, practical applications in the settings where the focus is not on elite performance is limited. Further, little is known about the extent to which gross motor coordination score is associated with sport-specific skills among adolescent nonathletes. The aim of this study was to analyse the relationship between the degree of gross motor coordination and execution in specific volleyball tests among adolescent non-athletes. Methods. The total of 34 students (27 females and 7 males) aged 13-14 years who regularly participated in volleyball during physical education classes were randomly recruited. Gross motor coordination was assessed with the Körperkoordinationstest für Kinder. Motor performance on volley-specific skills was indicated by two product-oriented tasks: volleyball under service and service reception. Correlation and linear regression analyses were applied to examine the associations between motor coordination scores and motor performance in volley-specific skills. Results. Motor coordination score was positively correlated with motor performance on specific skills (r = 0.503, p = 0.02). Linear regression analysis revealed that motor coordination score accounted for 23% of the variance in the motor performance on volleyball skills (R

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