ORCID Profile
0000-0001-7112-4674
Current Organisation
Chittagong University of Engineering and Technology
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Publisher: MDPI AG
Date: 16-10-2020
DOI: 10.3390/SU12208583
Abstract: This study reviewed the aspects of the production of bioethanol from the agricultural residues available in Bangladesh. The crop residues such as rice, wheat, sugarcane, corn, cotton, jute, and sugarcane have great potential for energy generation in a sustainable and eco-friendly way in Bangladesh, as these residues are available in large quantities. Bioethanol is an alternative fuel to gasoline that provides comparable performance results. Bioethanol from these residues can be used for transportation purposes, as it does not require any major modifications to the spark-ignition engine configuration when using E5 blend (5% Ethanol mixed with 95% of the gasoline). In Bangladesh, approximately 65.36 Mt of agricultural residues are available from the major crops, from which 32 Mt bioethanol can be generated. This study is expected to provide useful concise data with regards to the beneficial utilization of agricultural residues for bioethanol production in Bangladesh.
Publisher: Elsevier BV
Date: 08-2021
Publisher: Copernicus GmbH
Date: 03-03-2021
DOI: 10.5194/EGUSPHERE-EGU21-3970
Abstract: & & The TOPAS (Tikhonov regularized Ozone Profile retrievAl with SCIATRAN) algorithm to retrieve vertical profiles of ozone from space-borne observations in nadir viewing geometry has been developed at the Institute of Environmental Physics (IUP) of the University of Bremen and applied to TROPOMI L1B spectral data version 2. The data set covers the period from June 2018 to October 2019. But it is not available continuously, but for only single weeks of all 3 months. TROPOMI spectral radiance from channel UV1 and UV2 between 270 nm and 331 nm are used for the retrieval. Since the ozone profiles are very sensitive to absolute calibration at short wavelengths, a re-calibration of the measured radiances is required using comparisons with simulated radiances with ozone limb profiles from collocated MLS/Aura used as input. The time-independent re-calibration bases on simulations for cloud-free pixels of four orbits distributed over the time period. Studies with synthetic spectra show that in idual profiles in the stratosphere can be retrieved with the accuracy of about 10%. In the troposphere, the retrieval errors are larger depending on the a-priori profile used. The vertical resolution is between 6 and 10 km above 18 km altitude and 15 & #8211 25 km below. There are around 6 degree of freedom between 0 & #8211 60 km. The TOPAS ozone profiles retrieved from TROPOMI were validated using data from ozone sondes and stratospheric ozone lidars. Above 18 km, the comparison with sondes shows excellent agreement within less than & #177 5% for all latitudes. The standard deviation of mean differences is about 10%. Below 18 km, the relative mean deviation in the tropics and northern latitudes is still quite good remaining within & #177 20%. At southern latitudes larger differences of up to +40% occur between 10 and 15 km. Here the standard deviation is about 50% between 7 and 18 km and about 25% below 7 km. The validation of stratospheric ozone profiles with ground-based lidar measurements also shows very good agreement. The relative mean deviation is below & #177 5% in the 18 & #8211 45 km range with a standard deviation of 10%. A pilot application for one day of TROPOMI data with a comparison to MLS and OMPS confirmed the lidar validation results. The relative mean difference between TROPOMI and MLS or OMPS is largely below & #177 5% between 20 & #8211 50 km except for the very high latitudes where differences are getting larger.& &
Publisher: MDPI AG
Date: 02-02-2023
DOI: 10.3390/EN16031494
Abstract: Bangladesh is blessed with abundant solar resources. Solar power is considered the most desirable energy source to mitigate the high energy demand of this densely populated country. Although various articles deal with solar energy applications in Bangladesh, no detailed review can be found in the literature. Therefore, in this study, we report on the current scenario of renewable energy in Bangladesh and the most significant potential of solar energy’s contribution among multiple renewable energy resources in mitigating energy demand. One main objective of this analysis was to outline the overall view of solar energy applications in Bangladesh to date, as well as the ongoing development of such projects. The technical and theoretical solar energy potential and the technologies available to harvest solar energy were also investigated. A detailed techno-economic design of solar power applications for the garment industry was also simulated to determine the potential of solar energy for this specific scenario. Additionally, renewable energy policies applied in Bangladesh to date are discussed comprehensively, with an emphasis on various ongoing projects undertaken by the government. Moreover, we elaborate global insight into solar power applications and compare Bangladesh’s current solar power scenario with that of other regions worldwide. Furthermore, the potential of artificial intelligence to accelerate solar energy enhancement is delineated comprehensively. Therefore, in this study, we determined the national scenarios of solar power implementation in Bangladesh and projected the most promising approaches for large-scale solar energy applications using artificial intelligence approaches.
Location: Bangladesh
No related grants have been discovered for Monirul Islam Miskat.