Greenhouse gas emission and renewable energy sources for sustainable development in Bangladesh

Ahiduzzaman, Md.; Islam, A. K. M. Sadrul

doi:10.1016/j.rser.2011.07.086

Cited by 94 publications

(32 citation statements)

References 3 publications

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“…Bangladesh, between a third to half the energy demand is met by the incineration of biomass, with higher reliance in rural areas (Wadud et al 2011;Ahiduzzaman and Islam 2011). Biomass is also one of the most important fuel sources for rice, shrimp and prawn farmers.…”

Section: Biomassmentioning

confidence: 99%

Comparison of Asian Aquaculture Products by Use of Statistically Supported Life Cycle Assessment

Henriksson

Rico

Zhang

et al. 2015

Environ. Sci. Technol.

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We investigated aquaculture production of Asian tiger shrimp, whiteleg shrimp, giant river prawn, tilapia, and pangasius catfish in Bangladesh, China, Thailand, and Vietnam by using life cycle assessments (LCAs), with the purpose of evaluating the comparative eco-efficiency of producing different aquatic food products. Our starting hypothesis was that different production systems are associated with significantly different environmental impacts, as the production of these aquatic species differs in intensity and management practices. In order to test this hypothesis, we estimated each system's global warming, eutrophication, and freshwater ecotoxicity impacts. The contribution to these impacts and the overall dispersions relative to results were propagated by Monte Carlo simulations and dependent sampling. Paired testing showed significant (p < 0.05) differences between the median impacts of most production systems in the intraspecies comparisons, even after a Bonferroni correction. For the full distributions instead of only the median, only for Asian tiger shrimp did more than 95% of the propagated Monte Carlo results favor certain farming systems. The major environmental hot-spots driving the differences in environmental performance among systems were fishmeal from mixed fisheries for global warming, pond runoff and sediment discards for eutrophication, and agricultural pesticides, metals, benzalkonium chloride, and other chlorine-releasing compounds for freshwater ecotoxicity. The Asian aquaculture industry should therefore strive toward farming systems relying upon pelleted species-specific feeds, where the fishmeal inclusion is limited and sourced sustainably. Also, excessive nutrients should be recycled in integrated organic agriculture together with efficient aeration solutions powered by renewable energy sources.

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Section: Biomassmentioning

confidence: 99%

Comparison of Asian Aquaculture Products by Use of Statistically Supported Life Cycle Assessment

Henriksson

Rico

Zhang

et al. 2015

Environ. Sci. Technol.

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“…Among fossil fuel, Bangladesh has only natural gas that is used in power generation in the country (Ahiduzzaman and Islam 2011). According to Bangladesh Power Development Board (BPDB), Bangladesh has a total installed capacity of 11,532 MW, and among them 62.76 % of the total generation comes from natural gas (Bangladesh Power Development Board 2015).…”

Section: Introductionmentioning

confidence: 99%

“…After that, there will be a shortage of gas supply which would rise to 4421 MMcfd by 2025. Therefore, an additional 8.35 Tcf supply of gas is to be met by some other means (Ahiduzzaman and Islam 2011). Fortunately, Bangladesh receives moderate amount of daily sunshine of 4.5-4.8 kWh/m 2 which can be proved very significant for a sustainable power sector (Mondal and Islam 2011).…”

Section: Introductionmentioning

confidence: 99%

Estimation of solar radiation from cloud cover data of Bangladesh

Sarkar

2016

Renewables

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In this study, an analysis of the monthly mean values of the fraction of the sky covered by clouds (C) of all types and the duration of bright sunshine hours (S) and global solar radiation on the horizontal surface (H) was carried out to establish relationship for solar radiation estimation for Bangladesh. The relationship between C and (1 − S/S 0 ), where S 0 is the maximum possible hours of sunshine, was found to be nonlinear. The relationship between C and (1 − H/H 0 ), where H 0 is the extraterrestrial solar radiation, was also found to be nonlinear. Few quadratic regression equations were derived for different regions of Bangladesh. The data were separated in Zone 1 (below the tropic of cancer, i.e., ≤23.5°N) and Zone 2 (above the tropic of cancer, i.e., ≥23.5°N). All the developed models were checked statistically. It was found that it is always better to estimate solar radiation from sunshine duration as it gives the best estimation and accuracy, but if there is no sunshine duration data available for a site, then solar radiation can be estimated directly from cloud cover data. Estimating sunshine duration first from cloud data to estimate solar radiation introduces more error as it has to go through the modeling stage twice. In case of the need of sunshine duration data only, the estimation from cloud cover is quite helpful. It was also found from the study that for small country like Bangladesh separating data according to latitude has insignificant effect.

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“…After that there will be a shortage of gas supply which would rise to 4421 MMcfd by 2025. Therefore, an additional 8.35 Tcf supply of gas is to be met by some other means (Ahiduzzaman and Islam 2011). Geographically, Bangladesh is a low-lying delta and has insignificant amount of hills and high water reservoirs.…”

Section: Introductionmentioning

confidence: 99%

Global solar radiation estimation from commonly available meteorological data for Bangladesh

Sarkar

Sifat

2016

Renewables

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In this study, several regression models were employed to estimate global solar radiation from commonly available meteorological data such as sunshine duration, temperature, precipitation, and cloud cover for 34 meteorological stations of Bangladesh. The models studied were calibrated using five meteorological stations that are providing global solar radiation as well as other meteorological data. Estimated values were also compared with measured values in terms of statistical evaluation indicators like the coefficient of determination (R 2 ), mean percentage error, mean bias error, root mean square error (RMSE), mean absolute relative error, and t statistic. The statistical analysis showed that the models assessed were well suited to accurately estimate the solar potential. Sunshine duration-based models performed best, and cloud cover-based models performed worst. Among 45 developed models to predict solar radiation, the models with RMSE value lower than 0.2 are recommended for use.

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Greenhouse gas emission and renewable energy sources for sustainable development in Bangladesh

Cited by 94 publications

References 3 publications

Comparison of Asian Aquaculture Products by Use of Statistically Supported Life Cycle Assessment

Comparison of Asian Aquaculture Products by Use of Statistically Supported Life Cycle Assessment

Estimation of solar radiation from cloud cover data of Bangladesh

Global solar radiation estimation from commonly available meteorological data for Bangladesh

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