Comparative Study of Renewable Energy Based Water Disinfection Methods for Developing Countries

2010 ◽  
Vol 3 (4) ◽  
pp. 226-231 ◽  
Author(s):  
C.N. Ibeto ◽  
N.F. Oparaku ◽  
C.G. Okpara
Keyword(s):  
Developing Countries ◽  
Renewable Energy ◽  
Comparative Study ◽  
Water Disinfection ◽  
Disinfection Methods

Conclusions

2018 ◽  
Author(s):  
Stephany Griffith-Jones ◽  
José Antonio Ocampo ◽  
Paola Arias
Keyword(s):  
Developing Countries ◽  
Renewable Energy ◽  
Exchange Rates ◽  
Interest Rates ◽  
Development Strategy ◽  
National Development ◽  
Financial Inclusion ◽  
Production Sector ◽  
New Instruments ◽  
Innovation And Entrepreneurship

Based on the seven case studies analysed in this volume, this chapter concludes that national development banks (NDBs) have been successful in many cases in supporting innovation and entrepreneurship, key new sectors like renewable energy, and financial inclusion. They have developed new instruments, such as far greater use of guarantees, equity (including venture capital) and debt funds, and new instruments for financial inclusion. The context in which they operate is key to their success. Active countercyclical policies, low inflation, fairly low real interest rates, a well-functioning financial sector, and competitive exchange rates are crucial. They are also more effective if the country has a clear development strategy, linked to production sector strategies that foster innovative sectors. Under these conditions, the chapter argues that there is great need for a larger scale of NDB activity in Latin America and in developing countries in general.

Renewable Energy Financing and Market Design: A View and Recommendations From Development Banking Practitioners to Developing Countries

2021 ◽  
Vol 19 (1) ◽  
pp. 74-84
Author(s):  
Tonci Bakovic ◽  
Debabrata Chattopadhyay ◽  
Fernando Cubillos ◽  
Marcelino Madrigal
Keyword(s):  
Developing Countries ◽  
Renewable Energy ◽  
Market Design

New Photovoltaic Module Model And A Comparative Study of MPPT Control Techniques Based On Neural Networks

2021 ◽  
pp. 69-76
Author(s):  
Mourad Talbi ◽  
Nawel Mensia ◽  
Hatem Ezzaouia
Keyword(s):  
Renewable Energy ◽  
Comparative Study ◽  
Temporal Variations ◽  
Operating Conditions ◽  
Maximum Power ◽  
Energy Resources ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Mppt Controller ◽  
Power Point

Nowadays, renewable energy resources play an important role in replacing conventional fossil fuel energy resources. Solar photovoltaic (PV) energy is a very promising renewable energy resource, which rapidly grew in the past few years. The main problem of the solar photovoltaic is with the variation of the operating conditions of the array, the voltage at which maximum power can be obtained from it likewise changes. In this paper, is first performed the modelling of a solar PV panel using MATLAB/Simulink. After that, a maximum power point tracking (MPPT) technique based on artificial neural network (ANN) is applied in order to control the DC-DC boost converter. This MPPT controller technique is evaluated and compared to the “perturb and observe” technique (P&O). The simulation results show that the proposed MPPT technique based on ANN gives faster response than the conventional P&O technique, under rapid variations of operating conditions. This comparative study is made in terms of temporal variations of the duty cycle (D), the output power ( out P ), the output current ( out I ), the efficiency, and the reference current ( ref I ). The efficiency, D, out P , and out I are the output of the boost DC-DC, and ref I is itsinput. The different temporal variations of the efficiency, D, ref I , out P , and out I (for the two cases: the first case, when T = 25°C and G =1000 W/m2 and the second case, when T and G are variables), show negligible oscillations around the maximum power point. The used MPPT controller based on ANN has a convergence time better than conventional P&O technique.

scholarly journals Renewable Energy Development as a Driver of Economic Growth: Evidence from Multivariate Panel Data Analysis

2019 ◽  
Vol 11 (8) ◽  
pp. 2418 ◽  
Author(s):  
Nadia Singh ◽  
Richard Nyuur ◽  
Ben Richmond
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Renewable Energy ◽  
Energy Production ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Least Square ◽  
Renewable Energy Production ◽  
The Future ◽  
The Impact

Renewable energy is being increasingly touted as the “fuel of the future,” which will help to reconcile the prerogatives of high economic growth and an economically friendly development trajectory. This paper seeks to examine relationships between renewable energy production and economic growth and the differential impact on both developed and developing economies. We employed the Fully Modified Ordinary Least Square (FMOLS) regression model to a sample of 20 developed and developing countries for the period 1995–2016. Our key empirical findings reveal that renewable energy production is associated with a positive and statistically significant impact on economic growth in both developed and developing countries for the period 1995–2016. Our results also show that the impact of renewable energy production on economic growth is higher in developing economies, as compared to developed economies. In developed countries, an increase in renewable energy production leads to a 0.07 per cent rise in output, compared to only 0.05 per cent rise in output for developing countries. These findings have important implications for policymakers and reveal that renewable energy production can offer an environmentally sustainable means of economic growth in the future.

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