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Dr. Imran Khan used to be a communication engineer, developing transmission plans for optical signal through optical fibre. Later, he joined as a faculty member in the Department of Electrical and Electronic Engineering, Jashore University of Science and Technology (JUST). Prior to joining JUST, he also served as a faculty member in Daffodil International University and University of Information Technology and Sciences in Bangladesh. Imran completed his PhD from the Department of Physics and Centre for Sustainability under Energy Management Programme at the University of Otago, New Zealand. My research topic includes but not limited to: i) electricity-associated GHG emissions accounting, ii) electrical peak demand management, iii) residential electrical energy-use profiling, iv) renewable energy application towards low carbon future, v) assessing negative environmental impacts of electricity generation. vi) sustainability assessment of electricity generation technologies, (vii) prosumerism, (viii) energy access and security in developing countries.
Various characterization methods are used for the detection of PV (photovoltaic) module defects. However, these methods yield different results with varying uncertainties, depending on the measuring apparatus, data acquisition system, and filtering standards. This imposes the risk of accurately estimating the location and influence of defects of a PV module. The immediate identification and quantification of degraded solar panels have the direct cost-benefit of preventing PV module failure. The replacement of a PV system could cost far more than the cost of the module itself. Therefore, the challenges involved with solar panel defect detection techniques are discussed along with a summary of the conventional and emerging characterization technologies that enable accurate identification of the degradation source and extension of PV modules' useful lifetime. One hundred and twenty-six studies are reviewed, of which 60% deal with indoor, 40% outdoor, and 7% cover both indoor and outdoor defect detection techniques. Cell-cracks (23%) and hotspots (18%) are the most reported sources of PV module defects. The reviewed publications provide strong support for the claims that the I–V curve measurement is more handy, cost-effective, and provides instant feedback to verify the PV module condition. Simultaneously, the clustering-based computation method is relatively new and imposes several challenges, such as providing reliable predefined data with clusters optimization. Therefore, in this paper, the primary factors that degrade PV systems are investigated. The current best techniques for characterizing defects in PV systems are then overviewed, and their advantages and limitations are discussed.
Momtazur Rahman; Imran Khan; Kamal Alameh. Potential measurement techniques for photovoltaic module failure diagnosis: A review. Renewable and Sustainable Energy Reviews 2021, 151, 111532 .
AMA StyleMomtazur Rahman, Imran Khan, Kamal Alameh. Potential measurement techniques for photovoltaic module failure diagnosis: A review. Renewable and Sustainable Energy Reviews. 2021; 151 ():111532.
Chicago/Turabian StyleMomtazur Rahman; Imran Khan; Kamal Alameh. 2021. "Potential measurement techniques for photovoltaic module failure diagnosis: A review." Renewable and Sustainable Energy Reviews 151, no. : 111532.
Well-optimized decision-making is a prerequisite for effective energy planning, and this requires several criteria to be considered. The multi-criteria decision analysis (MCDA) methods underpin this decision-making process through different techniques. A MCDA method can provide a reliable methodology that helps to organize the most optimized result in the presence of many different opportunities, parameters, and constraints. The selection of an effective MCDA method in the energy sector is challenging. Particularly, sustainability assessment of the electricity generation sector using a MCDA method is difficult as it is necessary to consider at least three different criteria (economic, environmental, and social) with many indicators. This work compares the robustness, with respect to criteria weight change, of seven MCDA methods that are employed to assess the sustainability of electricity generation technologies through a case study. This case study underpins conducting an effective comparison between the employed methods and conclusions drawn. Robustness is defined cumulatively, counting the number of ranking changes while varying the criteria weights by 5%, 15% and 50%. The methods considered are Weighted Sum Method (WSM), Weighted Product Method (WPM), VIKOR, Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS), Performance Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), Analytical Hierarchy Process (AHP), and COmplex PRoportional ASsessment (COPRAS). The analysis revealed that COPRAS is the most robust MCDA method, followed by WPM. The least robust one is found to be TOPSIS. Both AHP and WSM ranked third in the robustness measure.
Sahabuddin; Imran Khan. Multi-criteria decision analysis methods for energy sector's sustainability assessment: Robustness analysis through criteria weight change. Sustainable Energy Technologies and Assessments 2021, 47, 101380 .
AMA StyleSahabuddin, Imran Khan. Multi-criteria decision analysis methods for energy sector's sustainability assessment: Robustness analysis through criteria weight change. Sustainable Energy Technologies and Assessments. 2021; 47 ():101380.
Chicago/Turabian StyleSahabuddin; Imran Khan. 2021. "Multi-criteria decision analysis methods for energy sector's sustainability assessment: Robustness analysis through criteria weight change." Sustainable Energy Technologies and Assessments 47, no. : 101380.
The outbreak of the coronavirus disease (COVID-19) pandemic has become a worldwide health catastrophe instigated by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). Countries are battling to slow the spread of this virus by testing and treating patients, along with other measures such as prohibiting large gatherings, maintaining social distance, and frequent, thorough hand washing, as no vaccines or medicines are available that could effectively treat infected people for different types of SARS-CoV-2 variants. However, the testing procedure to detect this virus is lengthy. This study proposes a surface plasmon resonance-based biosensor for fast detection of SARS-CoV-2. The sensor employs a multilayered configuration consisting of TiO2–Ag–MoSe2 graphene with a BK7 prism. Antigen–antibody interaction was considered the principle for this virus detection. Immobilized CR3022 antibody molecules for detecting SARS-CoV-2 antigens (S-glycoprotein) are used for this sensor. It was found that the proposed sensor’s sensitivity (194°/RIU), quality factor (54.0390 RIU−1), and detection accuracy (0.2702) outperformed those of other single and multilayered structures. This study could be used as a theoretical base and primary step in constructing an actual sensor.
Moznuzzaman; Imran Khan; Rafiqul Islam. Nano-layered surface plasmon resonance-based highly sensitive biosensor for virus detection: A theoretical approach to detect SARS-CoV-2. AIP Advances 2021, 11, 065023 .
AMA StyleMoznuzzaman, Imran Khan, Rafiqul Islam. Nano-layered surface plasmon resonance-based highly sensitive biosensor for virus detection: A theoretical approach to detect SARS-CoV-2. AIP Advances. 2021; 11 (6):065023.
Chicago/Turabian StyleMoznuzzaman; Imran Khan; Rafiqul Islam. 2021. "Nano-layered surface plasmon resonance-based highly sensitive biosensor for virus detection: A theoretical approach to detect SARS-CoV-2." AIP Advances 11, no. 6: 065023.
In South Asian countries, the spread of COVID-19 was not treated seriously until mid-March 2020. Measures similar to those considered in Europe and other developed countries, such as maintaining social distance and lockdowns, were imposed. Lockdowns imposed a significant impact on the power sector, and this has been well explored in the literature for developed countries. A country-specific assessment of the impact of COVID-19 on the energy sector is crucial for future crisis management and underpinning sustainable power sector development plans. The impact of COVID-19 on Bangladesh’s fossil-fuel dominated electricity sector is explored in this study. The analyses were conducted for 2019 and for the pandemic lockdown period in 2020. Daily hourly demand variations for different electricity generation zones in the country were investigated. The impact of these demand variations on greenhouse gas (GHG) emissions was assessed through time-varying carbon intensity analysis. Nationwide, the analysis revealed that the maximum hourly demand reduced by about 14% between 5 and 6 pm whereas the minimum demand reduction (3%–4%) occurred between 7:30 and 8 pm. Peak time demand reduction was found to be minimal during lockdowns. The national absolute GHG emission reduced by about 1075 kt CO2e, an ∼16% reduction compared with that in 2019. Time-varying carbon intensity patterns varied significantly between zones.
Imran Khan; Sahabuddin. COVID-19 pandemic, lockdown, and consequences for a fossil fuel-dominated electricity system. AIP Advances 2021, 11, 055307 .
AMA StyleImran Khan, Sahabuddin. COVID-19 pandemic, lockdown, and consequences for a fossil fuel-dominated electricity system. AIP Advances. 2021; 11 (5):055307.
Chicago/Turabian StyleImran Khan; Sahabuddin. 2021. "COVID-19 pandemic, lockdown, and consequences for a fossil fuel-dominated electricity system." AIP Advances 11, no. 5: 055307.
Demand side management (DSM) is an effective approach to reducing electricity peak demand during hours of system peak. Many different DSM schemes are being efficiently used in the developed world, based on the observed demand profiles of residences through smart meters. Although there is potential to implement DSM in developing countries, lack of smart technologies, and insufficient granular information about the residential demand profile is hampering the development of different DSM schemes. An alternate approach not involving smart technology could be crucial to solve this problem. In this study, a survey-based demand profiling method is proposed in the absence of smart meter technology, particularly for the developing world, and Bangladesh is considered as a case study. The method involves a step-by-step procedure to construct an estimated average demand profile for the household. The results show that the estimated average demand varies between 3.3% and 10% from the average measured demand during system peak hours. The median demand variation is about 1.72%. On the other hand, during off-peak hours, the minimum and maximum variations are 21% and 47%, respectively, with a median variation of 39%. Therefore, the survey-based estimated demand profile is reasonably more accurate during peak demand hours than off-peak hours, and could be used for proper DSM strategy design to reduce peak demand. This demand profiling method might be a helpful tool for national electricity authorities.
Imran Khan. A survey-based electricity demand profiling method for developing countries: The case of urban households in Bangladesh. Journal of Building Engineering 2021, 42, 102507 .
AMA StyleImran Khan. A survey-based electricity demand profiling method for developing countries: The case of urban households in Bangladesh. Journal of Building Engineering. 2021; 42 ():102507.
Chicago/Turabian StyleImran Khan. 2021. "A survey-based electricity demand profiling method for developing countries: The case of urban households in Bangladesh." Journal of Building Engineering 42, no. : 102507.
Residential electrical peak demand has attracted much attention as this demand is unpredictable. Several approaches have been used in the literature to analyze residential electrical demand. However, no previous studies have considered the energy cultures framework (ECF) to assess residential peak demand. This study investigates the applicability of ECF in accounting for residential demand variability. The ECF consists of three elements: material culture, cognitive norms, and energy practices. The ECF has been employed in a sample of 50 households in Bangladesh, of which 32% of households (HHs) were ‘peaky’ (peak time demand is much higher than average) and 68% HHs ‘non-peaky’ (average demand during peak hours). The analysis revealed that peaky HHs in Bangladesh is dominated by material culture. Non-peaky HHs’ demands are driven by cognitive norms. Spearman test results were found to be in line with ECF analysis.
Imran Khan. Factors dominating peak electricity demand in Bangladeshi urban households: an assessment through the energy cultures framework. Energy Sources, Part B: Economics, Planning, and Policy 2021, 16, 279 -299.
AMA StyleImran Khan. Factors dominating peak electricity demand in Bangladeshi urban households: an assessment through the energy cultures framework. Energy Sources, Part B: Economics, Planning, and Policy. 2021; 16 (3):279-299.
Chicago/Turabian StyleImran Khan. 2021. "Factors dominating peak electricity demand in Bangladeshi urban households: an assessment through the energy cultures framework." Energy Sources, Part B: Economics, Planning, and Policy 16, no. 3: 279-299.
Globally, governments are planning for a sustainable energy infrastructure to deal with negative climate change and to ensure a low-carbon future. In the developed world, energy generation expansion plans are designed so that the infrastructure can be adaptable to new technologies, reliable, affordable, and sustainable. In contrast, the developing world is trying to keep up with their anticipated levels of GDP growth, and to accommodate these needs energy has the utmost priority. Consequently, these nations are planning for long- and short-term energy generation infrastructures. Most often, these future generation expansion plans are not effective from a sustainable point of view, as they do not explicitly consider the existing resources. This is due to the absence of an appropriate sustainable energy infrastructure planning framework (SEIPF). There are thus two objectives of this chapter: first, to propose an SEIPF and second, to apply this SEIPF to an assessment of the future power generation expansion plan of Bangladesh as a case study. This proposed framework would be suitable to (i) assess and minimize the overall costs along with cascading impact mitigation, (ii) identify environmentally sound technologies, (iii) explore resource options to ensure sustainable development, (iv) warrant reliable and affordable electricity generation, and (v) identify an optimized sustainable electricity generation system. The proposed framework would be helpful for developing countries, in particular, in designing a sustainable electricity generation system, where plans are at the initial stage or under development.
Imran Khan. Sustainable Energy Infrastructure Planning Framework: Transition to a Sustainable Electricity Generation System in Bangladesh. Cyberspace 2021, 173 -198.
AMA StyleImran Khan. Sustainable Energy Infrastructure Planning Framework: Transition to a Sustainable Electricity Generation System in Bangladesh. Cyberspace. 2021; ():173-198.
Chicago/Turabian StyleImran Khan. 2021. "Sustainable Energy Infrastructure Planning Framework: Transition to a Sustainable Electricity Generation System in Bangladesh." Cyberspace , no. : 173-198.
The solar home system (SHS) is one of the proven technologies that is able to provide access to basic electricity to people where grid expansion is challenging. SHS technology was adopted in Bangladesh in 2003 through the Infrastructure Development Company Limited (IDCOL) and installed more than 4.13 million systems across the country, including remote islands like Hatiya. The benefits of SHS have been extensively studied in the literature, particularly focusing on the rural electrification process. This study sheds light on a different approach to this field: Is SHS still providing the proven benefits to its owners, or has it become a burden? To answer this question, a survey was conducted in the rural areas of Hatiya. The analysis revealed that households are mainly benefitting from (i) light at night (83%), and (ii) both light at night and mobile phone charging (17%) from SHSs. However, they are not completely satisfied with the systems due to a number of problems such as frequent light and controller replacement, use of kerosene lamps or candles at night in addition to SHS, and charging issues during monsoons. Thus, SHS is a burden to the owners unless the overall system's technical quality, including parts and accessories, is ensured. Related policy measures are recommended to turn this burden into a benefit again. These findings are also applicable to the remote islands of other least developed countries with similar socioeconomic characteristics to those of Bangladesh.
Abu Saim; Imran Khan. Problematizing solar energy in Bangladesh: Benefits, burdens, and electricity access through solar home systems in remote islands. Energy Research & Social Science 2021, 74, 101969 .
AMA StyleAbu Saim, Imran Khan. Problematizing solar energy in Bangladesh: Benefits, burdens, and electricity access through solar home systems in remote islands. Energy Research & Social Science. 2021; 74 ():101969.
Chicago/Turabian StyleAbu Saim; Imran Khan. 2021. "Problematizing solar energy in Bangladesh: Benefits, burdens, and electricity access through solar home systems in remote islands." Energy Research & Social Science 74, no. : 101969.
Demand-side management (DSM) has significant potential to reduce peak electricity demand to achieve cost-efficient and less-emissions-intensive electricity generation, but adoption is not yet widespread, especially in developing countries. This is due in part to a lack of detailed knowledge of the household factors that shape demand patterns, which are not necessarily the same as those in developed nations. This paper reports on the compilation and analysis of residential electricity consumption data to identify the factors that are most responsible for driving daily demand patterns in Bangladeshi households. In the absence of smart meters, structured interviews with householders were used to estimate daily demand patterns. Time-segmented regression analysis then identified the dominant factors that influence demand at different timeslots across the day. The dominant factors were found to be the number of major electrical appliances and the number of occupants in residences. We found that daily average electricity consumption is mostly influenced by the number of major electrical appliances at houses, while residential demand during system peaks is dominated by the number of occupants. The results are not nationally applicable due to the small and non-representative data set but indicate how this approach could be used to design targeted DSM strategies.
Imran Khan; Michael W. Jack; Janet Stephenson. Dominant factors for targeted demand side management—An alternate approach for residential demand profiling in developing countries. Sustainable Cities and Society 2020, 67, 102693 .
AMA StyleImran Khan, Michael W. Jack, Janet Stephenson. Dominant factors for targeted demand side management—An alternate approach for residential demand profiling in developing countries. Sustainable Cities and Society. 2020; 67 ():102693.
Chicago/Turabian StyleImran Khan; Michael W. Jack; Janet Stephenson. 2020. "Dominant factors for targeted demand side management—An alternate approach for residential demand profiling in developing countries." Sustainable Cities and Society 67, no. : 102693.
Waste management is one of the greatest global challenges, for which one reason is the composition of waste, which varies not only from one region to another but also over time. Recent studies considered waste treatment options for the developed world, where management schemes include waste to hydrogen generation. Although there is great potential for producing hydrogen from waste (e.g. biogas) in the developing world, this has received less attention. This study explores hydrogen production potential from waste in the developing world, particularly focusing on Bangladesh. Results show that anaerobic digestion is the most suitable waste management technology for the developing world predominantly due to waste's composition. The waste composition is dominated by organic food wastes (varying between 50% and 87%), of which the moisture content is more than 50%, thus being unsuitable for self-combustion. National energy policy making should consider this potential source of energy/hydrogen towards a sustainable future.
Imran Khan. Waste to biogas through anaerobic digestion: Hydrogen production potential in the developing world - A case of Bangladesh. International Journal of Hydrogen Energy 2020, 45, 15951 -15962.
AMA StyleImran Khan. Waste to biogas through anaerobic digestion: Hydrogen production potential in the developing world - A case of Bangladesh. International Journal of Hydrogen Energy. 2020; 45 (32):15951-15962.
Chicago/Turabian StyleImran Khan. 2020. "Waste to biogas through anaerobic digestion: Hydrogen production potential in the developing world - A case of Bangladesh." International Journal of Hydrogen Energy 45, no. 32: 15951-15962.
The research article “Khan I, Sustainability challenges for the south Asia growth quadrangle: A regional electricity generation sustainability assessment, Journal of Cleaner Production. 243 (2020), 118639, 1–13. DOI: https://doi.org/10.1016/j.jclepro.2019.118639” [1] is linked to this data article. The electricity generation related data were collected from the electricity authorities of Bangladesh, Bhutan, India, and Nepal annual reports, which were publicly available through their websites. Two methods of sustainability assessment, the ‘global’ and ‘multi-criteria decision analysis (MCDA)’ were employed. These two methods were adopted from recent literature. Related data were thus also collected from previous studies in the literature. These two models were explicitly used through a step-by-step calculation using the collected data. These data and methods will allow the researchers to replicate the methods readily. The use of this data and method will also enhance applying a similar approach to other related datasets. Overall, this dataset and method of calculation allow the researcher or analyst to avoid a number of issues: (i) it eliminates considering a large volume of electricity generation data from a myriad of sources for the four countries; (ii) this dataset is ready to be used for any further related sustainability assessment, thus reducing the steps by breaking large datasets down in a way that makes the analysis much easier, and (iii) the calculation steps are ready to be used for any other similar dataset.
Imran Khan. Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle. Data in Brief 2020, 28, 104808 .
AMA StyleImran Khan. Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle. Data in Brief. 2020; 28 ():104808.
Chicago/Turabian StyleImran Khan. 2020. "Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle." Data in Brief 28, no. : 104808.
Zobaidul Kabir; Imran Khan. Environmental impact assessment of waste to energy projects in developing countries: General guidelines in the context of Bangladesh. Sustainable Energy Technologies and Assessments 2020, 37, 1 .
AMA StyleZobaidul Kabir, Imran Khan. Environmental impact assessment of waste to energy projects in developing countries: General guidelines in the context of Bangladesh. Sustainable Energy Technologies and Assessments. 2020; 37 ():1.
Chicago/Turabian StyleZobaidul Kabir; Imran Khan. 2020. "Environmental impact assessment of waste to energy projects in developing countries: General guidelines in the context of Bangladesh." Sustainable Energy Technologies and Assessments 37, no. : 1.
To attain the sustainable development goals of the United Nations with a focus on the circular economy, it is necessary to explore every possible sustainable option in different sectors. Of these, sustainable waste management and electricity for all are the two most vital goals. However, to date, sustainability assessments of waste-to-energy (electricity) generation technologies have been limited in scale with respect to the three-dimensional sustainability framework (economic, environmental, and social). Most often, the assessments were dominated by environmental factors/indicators, omitting the social and economic indicators. This study thus considered a large number of indicators (34) with due importance placed on the three dimensions of sustainability towards sustainability assessment of four waste-to-energy options; incineration, gasification, pyrolysis, and anaerobic digestion (AD). Among the four technologies, AD and incineration are found as the most and least sustainable waste-to-energy technologies, respectively. Gasification, pyrolysis, and AD were found to be 33%, 65%, and 111% more sustainable waste-to-energy generation technologies than incineration. These findings were then discussed, paying particular attention to the developing world with a focus on Bangladesh, where waste-to-energy generation is yet to be developed. This is important for policymakers’ future development plans for waste management systems and renewable electricity generation in similar contexts of the developing world.
Imran Khan; Zobaidul Kabir. Waste-to-energy generation technologies and the developing economies: A multi-criteria analysis for sustainability assessment. Renewable Energy 2019, 150, 320 -333.
AMA StyleImran Khan, Zobaidul Kabir. Waste-to-energy generation technologies and the developing economies: A multi-criteria analysis for sustainability assessment. Renewable Energy. 2019; 150 ():320-333.
Chicago/Turabian StyleImran Khan; Zobaidul Kabir. 2019. "Waste-to-energy generation technologies and the developing economies: A multi-criteria analysis for sustainability assessment." Renewable Energy 150, no. : 320-333.
A large and growing body of literature has investigated diverse impacts of solar power technologies, in particular, solar home systems (SHS) in the developing economies. These studies evaluated either the social or economic impacts of solar photovoltaic (PV) technology adoption, often both, as a socio-economic analysis. A few other studies investigated the environmental impacts only. On the other hand, some studies considered the drivers and barriers of this technology adoption. However, studies considering all these factors – impacts, drivers, barriers – together to derive an overall picture of solar electricity deployment as a part of energy decentralization rarely occur in the literature. This study has taken into account this gap in the literature and tried to analyze all the factors together through the lens of the energy cultures framework (ECF) and provide insights into the interplay that exists between these factors. The ECF revealed that the drivers of SHS adoption are dominated by the ‘cognitive norms’ of the adopters. In contrast, the significant barriers belong to the ‘material culture’ of the people. This study further indicates the policy implications of energy decentralization. These findings might be a useful source of information for energy policymakers towards formulating a sustainable national electricity generation plan for developing economies to meet the United Nations sustainable development goals.
Imran Khan. Impacts of energy decentralization viewed through the lens of the energy cultures framework: Solar home systems in the developing economies. Renewable and Sustainable Energy Reviews 2019, 119, 109576 .
AMA StyleImran Khan. Impacts of energy decentralization viewed through the lens of the energy cultures framework: Solar home systems in the developing economies. Renewable and Sustainable Energy Reviews. 2019; 119 ():109576.
Chicago/Turabian StyleImran Khan. 2019. "Impacts of energy decentralization viewed through the lens of the energy cultures framework: Solar home systems in the developing economies." Renewable and Sustainable Energy Reviews 119, no. : 109576.
Sustainability includes three elements: social, economic, and environmental factors. The latter two dominate any project planning, whereas the former is often overlooked. Social sustainability deals with social factors that are essential for achieving long-term, sustainable social wellbeing. For a new project to be socially sustainable, maximum positive and minimum negative impacts are essential. Social impact assessment (SIA) provides a holistic view of all impacts that might occur in a new project. Bangladesh, a least developed country has developed its long-term power generation plan up to 2041 which includes the construction of new power generation plants of different types such as coal, gas, and oil-fired. Thus, it would be a challenge for the country to maintain its power sector's sustainability, if appropriate impact assessments are not conducted properly including SIA. In this article, the present status of SIA in the power sector of Bangladesh is analyzed. The results revealed that the SIAs were limited in scale and not up to standard, and thus mostly not helpful in achieving social sustainability. Lack of separate rules and regulations for SIA and inappropriate methodological approaches used to conduct SIA were the two main reasons.
Imran Khan. Critiquing social impact assessments: Ornamentation or reality in the Bangladeshi electricity infrastructure sector? Energy Research & Social Science 2019, 60, 101339 .
AMA StyleImran Khan. Critiquing social impact assessments: Ornamentation or reality in the Bangladeshi electricity infrastructure sector? Energy Research & Social Science. 2019; 60 ():101339.
Chicago/Turabian StyleImran Khan. 2019. "Critiquing social impact assessments: Ornamentation or reality in the Bangladeshi electricity infrastructure sector?" Energy Research & Social Science 60, no. : 101339.
A.M. Swaraz; Mohammed A. Satter; Mahfuzur Rahman; Mohammad Asadullah Asad; Imran Khan; Ziaul Amin. Bioethanol production potential in Bangladesh from wild date palm (Phoenix sylvestris Roxb.): An experimental proof. Industrial Crops and Products 2019, 139, 1 .
AMA StyleA.M. Swaraz, Mohammed A. Satter, Mahfuzur Rahman, Mohammad Asadullah Asad, Imran Khan, Ziaul Amin. Bioethanol production potential in Bangladesh from wild date palm (Phoenix sylvestris Roxb.): An experimental proof. Industrial Crops and Products. 2019; 139 ():1.
Chicago/Turabian StyleA.M. Swaraz; Mohammed A. Satter; Mahfuzur Rahman; Mohammad Asadullah Asad; Imran Khan; Ziaul Amin. 2019. "Bioethanol production potential in Bangladesh from wild date palm (Phoenix sylvestris Roxb.): An experimental proof." Industrial Crops and Products 139, no. : 1.
Electricity generation sustainability assessment is conducted for the South Asia Growth Quadrangle [SAGQ] region. Sustainability indices are calculated for power generation infrastructure of Bangladesh, Bhutan, India, and Nepal within the SAGQ, and regional sustainability indices are estimated and compared. Results show that the sustainability status of this region is ‘moderately sustainable’ and its overall sustainability is dominated by India. However, in the absence of an acceptable generalized assessment model, the means of assessing the sustainability index of power generation systems vary from one model to another. This paper further demonstrates this variation in results using two models of sustainability assessment: the ‘global model’ and ‘multi-criteria decision analysis’ model. A generalized model could help by indicating primary bases about the sustainability of an assessed generation system. However, this would not be an optimal assessment towards policymaking decisions. Use of more than one sustainability assessment model is thus recommended for a particular region under assessment. Importantly, this type of regional sustainability assessment could help energy policymakers to make more informed decisions about future electricity generation systems and maintain overall sustainable development.
Imran Khan. Sustainability challenges for the south Asia growth quadrangle: A regional electricity generation sustainability assessment. Journal of Cleaner Production 2019, 243, 118639 .
AMA StyleImran Khan. Sustainability challenges for the south Asia growth quadrangle: A regional electricity generation sustainability assessment. Journal of Cleaner Production. 2019; 243 ():118639.
Chicago/Turabian StyleImran Khan. 2019. "Sustainability challenges for the south Asia growth quadrangle: A regional electricity generation sustainability assessment." Journal of Cleaner Production 243, no. : 118639.
The concept of prosumers is well-established in the literature, but the role of a functioning prosumer in the least developed world has not yet been clarified. This paper attempts to show how prosumerism has evolved in Bangladesh, a pioneer, least developed country. It provides an insight into a functional prosumer-based renewable off-grid direct current (DC) network from the socioeconomic point of view, also reveals an operational peer-to-peer electricity trading system within this network. Prosumerism and its diverse impacts on the rural community are discussed. Along with the positive evolution of prosumerism, some barriers, drivers and enablers are explained with examples. Some negative impacts are also anticipated, but these can be overcome by implementing proper procedures in well-defined stages. Results show that prosumerism can improve the quality of life and greater socioeconomic awareness in least developed countries like Bangladesh. Prosumerism can be adopted in other similar countries by making long-term plans and learning from existing implementation in order to attain global sustainability. In addition, difficulties can be avoided with better planning and through commitment to research, aiming to improve general living standards.
Imran Khan. Drivers, enablers, and barriers to prosumerism in Bangladesh: A sustainable solution to energy poverty? Energy Research & Social Science 2019, 55, 82 -92.
AMA StyleImran Khan. Drivers, enablers, and barriers to prosumerism in Bangladesh: A sustainable solution to energy poverty? Energy Research & Social Science. 2019; 55 ():82-92.
Chicago/Turabian StyleImran Khan. 2019. "Drivers, enablers, and barriers to prosumerism in Bangladesh: A sustainable solution to energy poverty?" Energy Research & Social Science 55, no. : 82-92.
In many countries the residential sector contributes significantly to peak demand. Some of the promising approaches to reduce these peaks, such as energy efficiency and demand-side management (DSM) programmes, currently lack the sophistication to target households with particular characteristics or that make the most contribution to peaks. We present an analytical approach ‘time-segmented regression analysis (TSRA)’ that is able to determine the household factors that dominate at different time-slots across the day and therefore, categorize houses by their daily usage profiles and identify houses with high demand during network peaks based on common household characteristics. The method is applied to an example dataset from New Zealand. From a range of possible factors, it identifies the presence or absence of electrical hot water and electric heating appliances as the dominant factors determining daily electricity variation. The initial findings suggest that DSM programmes in New Zealand should directly target households with these appliances; however, a nationally representative dataset is required to confirm these findings. The analytical approach could be applied to other countries, and used to design more effective, targeted energy efficiency and DSM strategies.
Imran Khan; Michael W. Jack; Janet Stephenson. Identifying residential daily electricity-use profiles through time-segmented regression analysis. Energy and Buildings 2019, 194, 232 -246.
AMA StyleImran Khan, Michael W. Jack, Janet Stephenson. Identifying residential daily electricity-use profiles through time-segmented regression analysis. Energy and Buildings. 2019; 194 ():232-246.
Chicago/Turabian StyleImran Khan; Michael W. Jack; Janet Stephenson. 2019. "Identifying residential daily electricity-use profiles through time-segmented regression analysis." Energy and Buildings 194, no. : 232-246.
Although demand-side management (DSM) needs to be more customer centred, either with or without smart technologies (e.g. smart grid), less attention has been paid to the developing world in relation to DSM strategy development. The main reasons have been lack of appropriate technology and capital costs. Importantly, there are alternative DSM strategies that require minimum or no cost to implement and provide immediate results, of which energy-saving behaviour of the occupants at residences is one. This study explores the potentiality of this energy-saving behaviour as a DSM strategy for the least developed economies, focusing particularly on Bangladesh. The literature suggests that energy-saving behaviour could reduce energy demand by a maximum of 21.9%. However, this potential DSM scheme seems underestimated in the national DSM programme of Bangladesh. The Energy Efficiency and Conservation Master Plan (EECMP) of Bangladesh (a DSM program) shows that efficiency improvement in the use of home appliances could reduce electricity demand in the residential sector by about 28.8%, but this does require a long time to be implemented, whereas the inclusion of energy-saving behaviour as a demand response strategy in residences along with the EECMP might achieve demand reduction of up to 50.7%. Although the findings from this study are specific to Bangladesh, these could be useful guidelines for the policymakers of other developing nations where national DSM strategy development is underway.
Imran Khan. Energy-saving behaviour as a demand-side management strategy in the developing world: the case of Bangladesh. International Journal of Energy and Environmental Engineering 2019, 10, 493 -510.
AMA StyleImran Khan. Energy-saving behaviour as a demand-side management strategy in the developing world: the case of Bangladesh. International Journal of Energy and Environmental Engineering. 2019; 10 (4):493-510.
Chicago/Turabian StyleImran Khan. 2019. "Energy-saving behaviour as a demand-side management strategy in the developing world: the case of Bangladesh." International Journal of Energy and Environmental Engineering 10, no. 4: 493-510.