Effective renewable energy activities in Bangladesh

Islam, Ariful; Islam, Md. Nazmul; Rahman, Tazmilur

doi:10.1016/j.renene.2005.08.004

Cited by 111 publications

(72 citation statements)

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“…Another management strategy is promoting the use of advanced technology (e.g., energy-saving building and appliances) in order to reduce energy consumption [84]. In addition, the government should apply the policies to encourage people to use alternative renewable-energy resources such as solar power, wind power and biomass [85]. To reduce the pressure of hydropower dams, the management options also include the development and application of environmental laws to hydropower projects; for example, the performance of the dam project is evaluated, and its license to operate is either revoked or continued [86].…”

Section: Responsesmentioning

confidence: 99%

Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

Nguyen

Everaert

Boets

et al. 2018

Water

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Abstract:We critically analyzed a set of ecological models that are used to assess the impact of hydropower dams on water quality and habitat suitability for biological communities. After a literature search, we developed an integrated conceptual model that illustrates the linkages between the main input variables, model approaches, the output variables and biotic-abiotic interactions in the ecosystems related to hydropower dams. We found that variations in water flow and water depth coupled with increased nutrient availability are major variables that contribute to structural and functional ecosystem changes. We also found that ecological models are an important tool to assess the impact of hydropower dams. For instance, model simulation of different scenarios (e.g., with and without the dam, different operation methods) can analyze and predict the related ecosystem shifts. However, one of the remaining shortcomings of these models is the limited capacity to separate dam-related impacts from other anthropogenic influences (e.g., agriculture, urbanization). Moreover, collecting sufficient high-quality data to increase the statistical power remains a challenge. The severely altered conditions (e.g., generation of very deep lakes) also lead to difficulties for standardized data collection. We see future opportunities in the integration of models to improve the understanding of the different processes affected by hydropower dam development and operation, as well as the use of remote sensing methods for data collection.

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Section: Responsesmentioning

confidence: 99%

Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

Nguyen

Everaert

Boets

et al. 2018

Water

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“…Although there are attempts by NGOs to improve the quality of biomass energy availability to the poor through solid briquettes or biogas plants, majority of the biomass sources are collected informally. These renewable biomass resources are considered to have significant potential to meet the energy demand, especially in the rural areas (Hossain & Badr 2005, Islam et al 2006, and the absolute consumption of biomass based energy has been slowly increasing over the years (NEP 2008). However, the share of biomass in total primary energy consumption has been consistently decreasing in the country as it moves up the energy ladder.…”

Section: Energy Scenario In Bangladeshmentioning

confidence: 99%

“…Since the country is a flat one, opportunities for installing further hydropower plants is negligible, although some micro-hydro plants could find niche areas of application (Islam et al 2006, Islam et al 2007). Solar Photovoltaics (PV) have gained some popularity in rural areas without electricity.…”

Section: Energy Scenario In Bangladeshmentioning

confidence: 99%

Modeling and forecasting natural gas demand in Bangladesh

et al. 2011

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Natural gas is the major indigenous source of energy in Bangladesh and accounts for almost one-half of all primary energy used in the country. Per capita and total energy use in Bangladesh is still very small, and it is important to understand how energy, and natural gas, demand will evolve in the future. We develop a dynamic econometric model to understand the natural gas demand in Bangladesh, both in the national level, and also for a few sub-sectors. Our demand model shows large long run income elasticity around 1.5 for aggregate demand for natural gas. Forecasts into the future also show a larger demand in the future than predicted by various national and multilateral organizations. Even then, it is possible that our forecasts could still be at the lower end of the future energy demand. Price response was statistically not different from zero, indicating that prices are possibly too low and that there is a large suppressed demand for natural gas in the country.

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“…Installations of very small scale renewable energy systems have, therefore, been encouraged both by the Government and non-government organizations. Further discussions on the progress and other issues pertinent to renewable energy in Bangladesh can be found in [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%