Pub Date : 2022-11-16DOI: 10.1080/19397038.2022.2145384
S. Tulashie, Raphael Odai, Adeola M. Dahunsi, Sandra Atisey, Jacking Amenakpor
ABSTRACT In this research, the evaluation of Ghana’s wave energy potential was presented based on the ERA5 monthly averaged data on single levels from 1979 to 2020 from European Centre for Medium-Range Weather Forecast (ECMWF). The data obtained which was the Significant Wave Height and Wave Period were used to calculate the Average Wave Power and Energy. The total wave power crossing the three divisions of Ghana’s coastline has been calculated to be 7215 MW. The calculated wave energy available was compared to the Annual Energy Demand of Ghana. The calculated value gives a clear picture that wave energy can be another renewable energy source in Ghana. This was done relying on data from a third-generation spectral wave model to simulate the wave conditions which were used to analyse the potential of the wave-generated energy of the selected coastal areas in Ghana.
{"title":"Feasibility Study of Wave Power in Ghana","authors":"S. Tulashie, Raphael Odai, Adeola M. Dahunsi, Sandra Atisey, Jacking Amenakpor","doi":"10.1080/19397038.2022.2145384","DOIUrl":"https://doi.org/10.1080/19397038.2022.2145384","url":null,"abstract":"ABSTRACT In this research, the evaluation of Ghana’s wave energy potential was presented based on the ERA5 monthly averaged data on single levels from 1979 to 2020 from European Centre for Medium-Range Weather Forecast (ECMWF). The data obtained which was the Significant Wave Height and Wave Period were used to calculate the Average Wave Power and Energy. The total wave power crossing the three divisions of Ghana’s coastline has been calculated to be 7215 MW. The calculated wave energy available was compared to the Annual Energy Demand of Ghana. The calculated value gives a clear picture that wave energy can be another renewable energy source in Ghana. This was done relying on data from a third-generation spectral wave model to simulate the wave conditions which were used to analyse the potential of the wave-generated energy of the selected coastal areas in Ghana.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42711366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.1080/19397038.2022.2146775
G. Safo-Adu
ABSTRACT Water Quality Index (WQI) model was utilised to evaluate the physicochemical parameters of groundwater quality at the effluent discharge and administration areas of a waste treatment facility (WTF) in Shama Municipality in Ghana. Borehole water samples were collected once a week for six months and coliform bacteria were determined in the samples using Colony Forming Unit while the physicochemical parameters were analysed using instrumental and titrimetric techniques. Twenty physicochemical parameters were used in computing the WQI of groundwater. Groundwater collected I km away and within the WTF tested negative and positive for coliform bacteria respectively. WQI classified groundwater samples collected at the effluent discharge area as poor water quality type. However, groundwater collected 1 km away and at the administration area of the treatment facility was of good physicochemical quality. The levels of EC, COD, TDS, Ca2+, Mg2+and Cl− ions exceeded the WHO drinking water permissible limits. Statistically, there was no significant difference between mean levels of physicochemical parameters of groundwater at the three locations (p < 0.05). PCA revealed that weathering and dissolution of rock minerals and human-induced activities negatively affected the groundwater quality. The WTF groundwater was unsafe for use. Aquifer development and artificial recharge for sustainable development are recommended.
{"title":"Water Quality Index Model Application in Evaluation of Groundwater Quality in a Waste Treatment Facility","authors":"G. Safo-Adu","doi":"10.1080/19397038.2022.2146775","DOIUrl":"https://doi.org/10.1080/19397038.2022.2146775","url":null,"abstract":"ABSTRACT Water Quality Index (WQI) model was utilised to evaluate the physicochemical parameters of groundwater quality at the effluent discharge and administration areas of a waste treatment facility (WTF) in Shama Municipality in Ghana. Borehole water samples were collected once a week for six months and coliform bacteria were determined in the samples using Colony Forming Unit while the physicochemical parameters were analysed using instrumental and titrimetric techniques. Twenty physicochemical parameters were used in computing the WQI of groundwater. Groundwater collected I km away and within the WTF tested negative and positive for coliform bacteria respectively. WQI classified groundwater samples collected at the effluent discharge area as poor water quality type. However, groundwater collected 1 km away and at the administration area of the treatment facility was of good physicochemical quality. The levels of EC, COD, TDS, Ca2+, Mg2+and Cl− ions exceeded the WHO drinking water permissible limits. Statistically, there was no significant difference between mean levels of physicochemical parameters of groundwater at the three locations (p < 0.05). PCA revealed that weathering and dissolution of rock minerals and human-induced activities negatively affected the groundwater quality. The WTF groundwater was unsafe for use. Aquifer development and artificial recharge for sustainable development are recommended.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48125282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-06DOI: 10.1080/19397038.2022.2140222
Haneen Abuzaid, M. Awad, A. Shamayleh
ABSTRACT Photovoltaic systems (PV) have been extensively used worldwide as a reliable and effective renewable energy resource due to their environmental and economic merits. However, PV systems are prone to several environmental and weather conditions that impact their performance. Amongst these conditions is dust accumulation, which has a significant adversative impact on the solar cells’ performance, especially in hot and arid regions. This study provides a comprehensive review of 278 articles focused on the impact of dust on PV panels’ performance along with other associated environmental factors, such as temperature, humidity, and wind speed. The review highlights the importance of modelling dust accumulation along with other ecological factors due to their interactive nature, and the differences between cleaning techniques and schedules effectiveness. Moreover, the study provides a review of statistical and artificial intelligence models used to predict PV performance and its prediction accuracies in terms of data size and complexity. Finally, the study draws attention to several research gaps that warrant further investigation. Among these gaps is the need for proper dynamic optimisation models for cleaning schedules and a more advanced machine and deep learning models to predict dust accumulation while considering environmental and ageing factors.
{"title":"Impact of dust accumulation on photovoltaic panels: a review paper","authors":"Haneen Abuzaid, M. Awad, A. Shamayleh","doi":"10.1080/19397038.2022.2140222","DOIUrl":"https://doi.org/10.1080/19397038.2022.2140222","url":null,"abstract":"ABSTRACT Photovoltaic systems (PV) have been extensively used worldwide as a reliable and effective renewable energy resource due to their environmental and economic merits. However, PV systems are prone to several environmental and weather conditions that impact their performance. Amongst these conditions is dust accumulation, which has a significant adversative impact on the solar cells’ performance, especially in hot and arid regions. This study provides a comprehensive review of 278 articles focused on the impact of dust on PV panels’ performance along with other associated environmental factors, such as temperature, humidity, and wind speed. The review highlights the importance of modelling dust accumulation along with other ecological factors due to their interactive nature, and the differences between cleaning techniques and schedules effectiveness. Moreover, the study provides a review of statistical and artificial intelligence models used to predict PV performance and its prediction accuracies in terms of data size and complexity. Finally, the study draws attention to several research gaps that warrant further investigation. Among these gaps is the need for proper dynamic optimisation models for cleaning schedules and a more advanced machine and deep learning models to predict dust accumulation while considering environmental and ageing factors.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2022-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48165428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-02DOI: 10.1080/19397038.2022.2140223
H. Guesmi, R. Ajjel, Talal Alqahtani, S. Algarni
ABSTRACT In recent years, low power consumption and portable devices have been developed that will be connected and used everywhere. However, this explosion will bring critical challenges to electricity consumption. In this work, copper and zinc electrodes are embedded in prickly pear plant as an electricity generation has been analysed and evaluated. Many experimental setups have been performed to determine the optimum method to collect the maximum amount of energy from the living plant. They study the influence of distance between electrodes, influence of the electrode’s size, influence of the electrode’s depth, effect of the couple electrodes number, and effect of series and parallel connection to harvested energy. Therefore, a combination of series and parallel connection among the leaves can be installed to harvest higher voltage and current. The experimental results show that 58,8 mW electrical power can be harvested using 18 pairs of electrodes embedded in 6 leaves. The produced energy is used to power up low-power devices such as a calculator or a light emitting diode (LED) and can be stored in a capacitor or a battery.
{"title":"Towards renewable green energy produced by prickly pear living plant","authors":"H. Guesmi, R. Ajjel, Talal Alqahtani, S. Algarni","doi":"10.1080/19397038.2022.2140223","DOIUrl":"https://doi.org/10.1080/19397038.2022.2140223","url":null,"abstract":"ABSTRACT In recent years, low power consumption and portable devices have been developed that will be connected and used everywhere. However, this explosion will bring critical challenges to electricity consumption. In this work, copper and zinc electrodes are embedded in prickly pear plant as an electricity generation has been analysed and evaluated. Many experimental setups have been performed to determine the optimum method to collect the maximum amount of energy from the living plant. They study the influence of distance between electrodes, influence of the electrode’s size, influence of the electrode’s depth, effect of the couple electrodes number, and effect of series and parallel connection to harvested energy. Therefore, a combination of series and parallel connection among the leaves can be installed to harvest higher voltage and current. The experimental results show that 58,8 mW electrical power can be harvested using 18 pairs of electrodes embedded in 6 leaves. The produced energy is used to power up low-power devices such as a calculator or a light emitting diode (LED) and can be stored in a capacitor or a battery.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41671673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-27DOI: 10.1080/19397038.2022.2131931
V. Atgur, G. Manavendra, G. Desai, N. Banapurmath, Chandramouli Vadlamudi, Sanjay Krishnappa, B. N. Rao
ABSTRACT Thermal behavior of honge oil methyl ester (HOME) and its B-20 blend (20% HOME and 80% diesel) is examined by performing calorimetric experiments at 10°C/min heating rate in atmospheric air and oxygen medium. Thermogravitometry (TG) curves indicate two phases of decomposition for diesel and three phases for biofuel. Combustion reaction favors in oxidative atmosphere causing reduction in fuel preparation stage and increase in premixed burning phase reducing peak temperature of combustion and increasing enthalpy with high heat release rate. B-20 blend performance is similar to diesel with combustion index and intensity of combustion and is thermally stable with high offset temperature confirming more combustion duration. Blend of diesel lowers activation energy in initial stage of combustion process, whereas reverse trend is observed in final stage. Ignition index (Di) in air for diesel, HOME, and its B-20 blend is reduced by 70.11%, 34.92% and 42.80% respectively. Burnout index (Db) in air for diesel and B-20 blend reduced by 72% and 61% respectively whereas it increased by 28.5% for HOME. Combustion index (S) is more in air for HOME and its blend. Improved intensity of combustion is observed for diesel and B-20 blend in oxygen whereas reverse trend is observed for HOME.
{"title":"Thermal behavior of diesel, honge oil methyl ester and ITS B-20 blend in atmospheric air and oxygen","authors":"V. Atgur, G. Manavendra, G. Desai, N. Banapurmath, Chandramouli Vadlamudi, Sanjay Krishnappa, B. N. Rao","doi":"10.1080/19397038.2022.2131931","DOIUrl":"https://doi.org/10.1080/19397038.2022.2131931","url":null,"abstract":"ABSTRACT Thermal behavior of honge oil methyl ester (HOME) and its B-20 blend (20% HOME and 80% diesel) is examined by performing calorimetric experiments at 10°C/min heating rate in atmospheric air and oxygen medium. Thermogravitometry (TG) curves indicate two phases of decomposition for diesel and three phases for biofuel. Combustion reaction favors in oxidative atmosphere causing reduction in fuel preparation stage and increase in premixed burning phase reducing peak temperature of combustion and increasing enthalpy with high heat release rate. B-20 blend performance is similar to diesel with combustion index and intensity of combustion and is thermally stable with high offset temperature confirming more combustion duration. Blend of diesel lowers activation energy in initial stage of combustion process, whereas reverse trend is observed in final stage. Ignition index (Di) in air for diesel, HOME, and its B-20 blend is reduced by 70.11%, 34.92% and 42.80% respectively. Burnout index (Db) in air for diesel and B-20 blend reduced by 72% and 61% respectively whereas it increased by 28.5% for HOME. Combustion index (S) is more in air for HOME and its blend. Improved intensity of combustion is observed for diesel and B-20 blend in oxygen whereas reverse trend is observed for HOME.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47201101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-13DOI: 10.1080/19397038.2022.2131932
M. Harun, Deodat Mwesiumo, H. Hogset, A. Ramudhin
ABSTRACT With growing concerns about sustainability, competing companies in the food supply chain are compelled to engage in non-traditional forms of collaboration. Coopetition (i.e. horizontal collaboration with competitors) is gaining attention as a means of improving sustainability performance in supply chains. However, little is known in the existing literature about the causal mechanism and conditions of coopetition to improve supply chain sustainability in the food industry. Based on an embedded case study in the Norwegian fishing industry, we posit several propositions and develop an empirical framework delineating the relationship between coopetition and supply chain sustainability. The case study research is informed by semi-structured interviews corroborated by relevant secondary data. Our findings reveal a set of dynamic capabilities through which coopetition improves supply chain sustainability. Besides, laws and regulations, and certification and standards, positively impact the relationship between coopetition and supply chain sustainability. Conversely, insufficient funds, conflicts of interest, and firm size affect the same relationship negatively. This study contributes to the literature by providing valuable insights into coopetition as a source of dynamic capabilities. In addition, our results show how coopetition can best be leveraged by managers to improve the sustainability of the food supply chain.
{"title":"Practicing coopetition for food supply chain sustainability: a contextual perspective in the Norwegian fishing industry","authors":"M. Harun, Deodat Mwesiumo, H. Hogset, A. Ramudhin","doi":"10.1080/19397038.2022.2131932","DOIUrl":"https://doi.org/10.1080/19397038.2022.2131932","url":null,"abstract":"ABSTRACT With growing concerns about sustainability, competing companies in the food supply chain are compelled to engage in non-traditional forms of collaboration. Coopetition (i.e. horizontal collaboration with competitors) is gaining attention as a means of improving sustainability performance in supply chains. However, little is known in the existing literature about the causal mechanism and conditions of coopetition to improve supply chain sustainability in the food industry. Based on an embedded case study in the Norwegian fishing industry, we posit several propositions and develop an empirical framework delineating the relationship between coopetition and supply chain sustainability. The case study research is informed by semi-structured interviews corroborated by relevant secondary data. Our findings reveal a set of dynamic capabilities through which coopetition improves supply chain sustainability. Besides, laws and regulations, and certification and standards, positively impact the relationship between coopetition and supply chain sustainability. Conversely, insufficient funds, conflicts of interest, and firm size affect the same relationship negatively. This study contributes to the literature by providing valuable insights into coopetition as a source of dynamic capabilities. In addition, our results show how coopetition can best be leveraged by managers to improve the sustainability of the food supply chain.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47072473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-23DOI: 10.1080/19397038.2022.2108156
K. Tota-Maharaj, B. Adeleke, G. Nounu
ABSTRACT Using waste plastics as a partial natural aggregate replacement and monitoring strength and workability reduction in pavement structures is vital to net-carbon zero. This study explores the utilisation of waste plastic as a fine aggregate replacement in medium-strength reinforced concrete pavements, for improving plastic aggregate performance and the intrinsic reasoning for observed strength performance. Various weight fractions of fines were substituted by the same weight of plastic aggregates ranging from 5–15% according to the appropriate standards (Eurocodes and British Standards). The physical and mechanical properties of the composites were analysed. The results indicated that the use of polymeric materials as a partial replacement for fines contributed to a decrease in workability, compressive strength and push-out bond between steel reinforcement and concrete. Despite these trends, 5% replacement of fine aggregates with plastic waste surpassed all the feasibility criteria. Furthermore, using 10% of plastic replacement by weight was deemed feasible in non-structural applications such as roads, pavements, and facades. The outputs have demonstrated environmental engineering concepts in tackling plastic waste, providing an alternative to conventional aggregate. Environmental benefits can arise due to the removal of potentially hazardous plastics from entering ecosystems as well as minimising dredging of global sand reserves.
{"title":"Effects of waste plastics as partial fine-aggregate replacement for reinforced low-carbon concrete pavements","authors":"K. Tota-Maharaj, B. Adeleke, G. Nounu","doi":"10.1080/19397038.2022.2108156","DOIUrl":"https://doi.org/10.1080/19397038.2022.2108156","url":null,"abstract":"ABSTRACT Using waste plastics as a partial natural aggregate replacement and monitoring strength and workability reduction in pavement structures is vital to net-carbon zero. This study explores the utilisation of waste plastic as a fine aggregate replacement in medium-strength reinforced concrete pavements, for improving plastic aggregate performance and the intrinsic reasoning for observed strength performance. Various weight fractions of fines were substituted by the same weight of plastic aggregates ranging from 5–15% according to the appropriate standards (Eurocodes and British Standards). The physical and mechanical properties of the composites were analysed. The results indicated that the use of polymeric materials as a partial replacement for fines contributed to a decrease in workability, compressive strength and push-out bond between steel reinforcement and concrete. Despite these trends, 5% replacement of fine aggregates with plastic waste surpassed all the feasibility criteria. Furthermore, using 10% of plastic replacement by weight was deemed feasible in non-structural applications such as roads, pavements, and facades. The outputs have demonstrated environmental engineering concepts in tackling plastic waste, providing an alternative to conventional aggregate. Environmental benefits can arise due to the removal of potentially hazardous plastics from entering ecosystems as well as minimising dredging of global sand reserves.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48095773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-12DOI: 10.1080/19397038.2022.2110330
A. Ruiz-Torres, F. Mahmoodi, S. Ohmori, A. Hlali
ABSTRACT We propose a decision tree model that considers reverse and forward flows in a closed-loop supply chain (CLSC). Based on observations of three CLSCs, the model considers an environment where there is uncertainty in the quantity of returned used components (and new components from suppliers) with the decision being the incentive offered to each return source. Given that there are multiple suppliers, one must determine which supplier(s) to use and the corresponding capacity to reserve, in order to minimise total system costs. An example and a sensitivity analysis are presented to illustrate the model and to investigate multiple scenarios under various conditions. The analysis demonstrates that the supplier portfolio and returner incentive decisions are strongly linked to the supplier reliability, returned quantities, and the costs of not meeting the demand. Furthermore, the analysis suggests that understanding the behaviour of return sources relative to incentives is the most critical variable to implement the model.
{"title":"Suppliers portfolio and returner incentive decisions in closed-loop remanufacturing systems under multiple stochastic scenarios","authors":"A. Ruiz-Torres, F. Mahmoodi, S. Ohmori, A. Hlali","doi":"10.1080/19397038.2022.2110330","DOIUrl":"https://doi.org/10.1080/19397038.2022.2110330","url":null,"abstract":"ABSTRACT We propose a decision tree model that considers reverse and forward flows in a closed-loop supply chain (CLSC). Based on observations of three CLSCs, the model considers an environment where there is uncertainty in the quantity of returned used components (and new components from suppliers) with the decision being the incentive offered to each return source. Given that there are multiple suppliers, one must determine which supplier(s) to use and the corresponding capacity to reserve, in order to minimise total system costs. An example and a sensitivity analysis are presented to illustrate the model and to investigate multiple scenarios under various conditions. The analysis demonstrates that the supplier portfolio and returner incentive decisions are strongly linked to the supplier reliability, returned quantities, and the costs of not meeting the demand. Furthermore, the analysis suggests that understanding the behaviour of return sources relative to incentives is the most critical variable to implement the model.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47375198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-20DOI: 10.1080/19397038.2022.2101707
Abdelhamid Issa Hassane, D. H. Didane, A. M. Tahir, J. Hauglustaine, B. Manshoor, M. F. M. Batcha, J. Tamba, R. Mouangue
ABSTRACT This study presents a techno-economic analysis of a mini-grid solar photovoltaic system for five typical rural communities in Chad while promoting renewable energy systems adaptation and rural electrification. The assessment techniques include the establishment of the socio-economic state of the rural communities through a field survey. The costs of system development, electricity tariff and sizing of energy production are realised via the Levelized Cost of Electricity (LCOE) technique. Sensitivity analysis was carried out to identify the parameters that affect the evolution of the LCOE during the life cycle of the project. The results have shown that the annual energy production at all sites varies between 233 MWh/year and 3585 MWh/year. The highest amount of energy production is estimated at Guelendeng at a rate of 3218 MWh/year and a capacity of 2041 kW, while the lowest is predicted at Mombou at a rate of 211 MWh/year and a capacity of 134 kW. The standard LCOE for the system during the 25-year lifespan in the five villages is estimated at 0.30 €/kWh except at Mailo which was 0.31 €/kWh. This cost per kilowatt-hour is more attractive and competitive compared with the current rate charged by the national electricity company.
{"title":"Techno-economic feasibility of a remote PV mini-grid electrification system for five localities in Chad","authors":"Abdelhamid Issa Hassane, D. H. Didane, A. M. Tahir, J. Hauglustaine, B. Manshoor, M. F. M. Batcha, J. Tamba, R. Mouangue","doi":"10.1080/19397038.2022.2101707","DOIUrl":"https://doi.org/10.1080/19397038.2022.2101707","url":null,"abstract":"ABSTRACT This study presents a techno-economic analysis of a mini-grid solar photovoltaic system for five typical rural communities in Chad while promoting renewable energy systems adaptation and rural electrification. The assessment techniques include the establishment of the socio-economic state of the rural communities through a field survey. The costs of system development, electricity tariff and sizing of energy production are realised via the Levelized Cost of Electricity (LCOE) technique. Sensitivity analysis was carried out to identify the parameters that affect the evolution of the LCOE during the life cycle of the project. The results have shown that the annual energy production at all sites varies between 233 MWh/year and 3585 MWh/year. The highest amount of energy production is estimated at Guelendeng at a rate of 3218 MWh/year and a capacity of 2041 kW, while the lowest is predicted at Mombou at a rate of 211 MWh/year and a capacity of 134 kW. The standard LCOE for the system during the 25-year lifespan in the five villages is estimated at 0.30 €/kWh except at Mailo which was 0.31 €/kWh. This cost per kilowatt-hour is more attractive and competitive compared with the current rate charged by the national electricity company.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44239791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-19DOI: 10.1080/19397038.2022.2101706
M. Shahidzadeh, Sajjad Shokouhyar
ABSTRACT Growing population leads to generating more waste and depletion of natural resources. Moreover, the cost of supplying some resources has increased substantially. Hence, the manufacturer is trying to focus on planning to get back old or partially/wholly unusable products and make the best disposition decisions on them. This research aims to build a multi-industry applied model using the deep learning method in social media analysis to make the best decision for returning products in reverse logistics, along with the sustainability and circular economy concerns. Furthermore, we outline the usage of social network analytics in aligning consumers’ expectations with supply chain policies, strategies, and decisions. An industry benchmark concerning circular economy concepts can be attained by applying the proposed model to different industries. We have proposed a generalisable model using social media analytics, consumer sentiment analysis, reverse logistics, and circular economy theory to attain a circular supply chain regarding sustainability concerns. Applying the proposed model to the electronics industry as a case study, the model was further validated with Twitter data analysis of developing versus developed countries for laptop devices. We collected over 70-million tweets using the Twitter Application Programming Interface (API) over fifteen months. The results approved the proposed model by leveraging the Twitter geolocation attribute to extract Twitter data from developing and developed countries. Moreover, the model is general enough to be used on various industries’ supply chains and provides managers and policymakers with deep insight into reverse logistics’ decision-making. It would be interesting to use real-time analytics and improve accuracy in future works. We made original contributions to reverse logistics decision-making in the circular economy context. Previous research, which has focused on supply chain decision-making, has been extended by providing theoretical and practical implications for social media analytics and the circular economy ecosystem. Thus, by scrutinising the consumers’ needs and expectations, we suggested the best decision on returned products to close an open-ended supply chain and achieve a circular economy. Furthermore, we derived industry benchmarks for both developing and developed countries separately. The results showed that the best decision on returning products in developing countries is different from developed countries. We advise top managers and policymakers to improve supply chain sustainability using social media analytics in developing and developed countries to substantially optimise waste and companies’ profits.
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