Analysis of Energy Sector of Bangladesh’s to Ensure the Route of Vision 2041
Mahadehe Hassan,
Moin Uddin Ahmed
Issue:
Volume 11, Issue 1, January 2022
Pages:
1-16
Received:
9 December 2021
Accepted:
4 January 2022
Published:
12 January 2022
Abstract: Energy is a major driving force for economic and socio-economic development of a country. Throughout the last decade Power & Energy Sector of Bangladesh has been undergone unprecedented transition towards realizing its targets set for achieving Visions (2021 & 2041). Keeping pace with the economic growth, all out efforts have been undertaken in Power & Energy Sector. As Per successful implementation of PP 2021 and MDGs, the power and energy sector targets of PP2041 and SDG7 are reasonably expected to be realized in due course. The sector is moving towards achieving long term targets to ensure energy sustainability 33,000 MW plant generation capacity, maximum peak demand 29,300 MW (in 2030), and 56,734 MW plant generation capacity, maximum peak demand 51,300 MW (in 2041). This is an appropriate time to review the achievements so far. The main objective of this research paper is to analyze the performance of the energy sector over the last decade in order to identify the areas of weaknesses and challenges and to present a set of recommendations on long term sustainability. From methodological point of view, the current practice is to analyze a gap in the sector aimed at identifying weaknesses. Therefore, this study focuses on the following issues in the energy sector of Bangladesh’s to ensure the route of vision 2041: (i) Perspective Plan 2041 for Energy Sector in Bangladesh; (ii) Present status of Electricity Generation in energy sector of Bangladesh (iii) Energy Pricing and Policy in Bangladesh (iv) Major Initiatives in Energy Sectors of Bangladesh (v) Challenges faced by vision 2041 in energy sector of Bangladesh. Energy plays an important role in the development and security of any country, poverty eradication, economic growth and sustainable infrastructure. Therefore, future economic growth will depend significantly on the availability of electricity.
Abstract: Energy is a major driving force for economic and socio-economic development of a country. Throughout the last decade Power & Energy Sector of Bangladesh has been undergone unprecedented transition towards realizing its targets set for achieving Visions (2021 & 2041). Keeping pace with the economic growth, all out efforts have been undertaken in Pow...
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Hybrid Ageing Model of a Proton Exchange Membrane Fuel Cell (PEMFC)
Abdelkader Detti,
Nadia Yousfi Steiner,
Laurent Bouillaut,
Allou Badara Samé,
Samir Jemei
Issue:
Volume 11, Issue 1, January 2022
Pages:
17-29
Received:
8 December 2021
Accepted:
21 December 2021
Published:
25 February 2022
Abstract: Today the world is full of time-dependent phenomena in all fields: physics, chemistry, mechanics and many others. Time acts on the performance of any system whatever its nature is. When a system operates over time, aging becomes a real concern. Regarding fuel cells, several degradation phenomena can occur in a short or long term. Short-term phenomena are generally referred to as reversible degradations, these degradations are of the order of the microsecond and can go up to hours and sometimes to days, such as problems related to water management. The long term degradations are usually called irreversible degradations; it can be defined as aging. This phenomenon is of the order of a day and can increase up to months. In order to mitigate the impact of aging on the fuel cell system performance, good corrective actions must be taken. To do so, the performance prediction during the aging of the fuel cell system must be conducted. In this paper a verified and tested prognosis approach applicable to fuel cells is presented. The novelty in the approach used is linked to its modular structure. In fact, this approach has three phases. The first one aims to identify the internal physical parameters of the stack using an optimization algorithm on experimental data and a static fuel cell model. The second one predicts the temporal evolution of these parameters using a prediction algorithm. Finally, the reconstruction phase consists in the prediction of parameters that are re-injected into the model to reconstruct polarization curves and thus reflect the performance degradation of the fuel cell. The reliability and repeatability of the proposed approach have been successfully validated on two data sets from two different experimental campaigns.
Abstract: Today the world is full of time-dependent phenomena in all fields: physics, chemistry, mechanics and many others. Time acts on the performance of any system whatever its nature is. When a system operates over time, aging becomes a real concern. Regarding fuel cells, several degradation phenomena can occur in a short or long term. Short-term phenome...
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