Pub Date : 2021-10-07DOI: 10.1080/19397038.2021.1986592
A. Bhosale, S. Suseendiran, K. Rokhade, R. Rengaswamy
ABSTRACT Cylindrical polymer electrolyte membrane fuel cells are promising energy conversion devices for next generation transportation applications because of their high volumetric and gravimetric power densities. The present study is focused to evaluate the effect of a design parameter (clamping pressure) and an operational parameter (gas pressure) on the contact resistance of the cell. The cell is modelled to visualise contact pressure at the interface of the gas diffusion layer and the current collector. It is observed that the contact pressure at the interface is dependent on both clamping as well as gas pressure. The ohmic resistance of the cell is found to decrease with increase in current, reaches a minimum and then increases owing to membrane hydration and dehydration over gradual increase in the cell temperature. The threshold contact resistance is then calculated to be 33.21 mΩ cm2 based on the minimum ohmic resistance of 100 mΩ. The study highlights the optimum zone where the combination of both clamping and gas pressures can be used to minimise the contact resistance.
{"title":"Effect of gas pressure and clamping pressure on interfacial contact resistance of a cylindrical polymer electrolyte membrane fuel cell","authors":"A. Bhosale, S. Suseendiran, K. Rokhade, R. Rengaswamy","doi":"10.1080/19397038.2021.1986592","DOIUrl":"https://doi.org/10.1080/19397038.2021.1986592","url":null,"abstract":"ABSTRACT Cylindrical polymer electrolyte membrane fuel cells are promising energy conversion devices for next generation transportation applications because of their high volumetric and gravimetric power densities. The present study is focused to evaluate the effect of a design parameter (clamping pressure) and an operational parameter (gas pressure) on the contact resistance of the cell. The cell is modelled to visualise contact pressure at the interface of the gas diffusion layer and the current collector. It is observed that the contact pressure at the interface is dependent on both clamping as well as gas pressure. The ohmic resistance of the cell is found to decrease with increase in current, reaches a minimum and then increases owing to membrane hydration and dehydration over gradual increase in the cell temperature. The threshold contact resistance is then calculated to be 33.21 mΩ cm2 based on the minimum ohmic resistance of 100 mΩ. The study highlights the optimum zone where the combination of both clamping and gas pressures can be used to minimise the contact resistance.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"14 1","pages":"1791 - 1799"},"PeriodicalIF":3.7,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47361025","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 : 2021-10-06DOI: 10.1080/19397038.2021.1986590
Priya Gupta, Rhythm Singh
ABSTRACT Accurate PV power forecasting techniques are a prerequisite for the optimal management of the grid and its stability. This paper presents a review of the recent developments in the field of PV power forecasting, mainly focusing on the literature which uses ML techniques. The ML techniques (sub-branch of artificial intelligence) are extensively used due to their ability to solve nonlinear and complex data structures. PV power forecasting can either be direct, or indirect, which involves solar irradiance forecast model, plane of array irradiance estimation model, and PV performance model. This paper presents a review of both of these pathways of PV power forecasting based on the proposed methodology, forecast horizons and the considered input parameters. In case of unavailability of historical PV power for a new PV plant and in case of failure of real-time data acquisition, indirect PV power forecasting can be a viable alternative. Although the performance ranking of various ML models is complicated and no model is universal, recent studies suggest that methodologies like deep neural networks and ensemble or hybrid models outperform conventional methods for short-term PV forecasting. Recent articles also present the various intelligent optimisation and data-preparation techniques to improve performance accuracy.
{"title":"PV power forecasting based on data-driven models: a review","authors":"Priya Gupta, Rhythm Singh","doi":"10.1080/19397038.2021.1986590","DOIUrl":"https://doi.org/10.1080/19397038.2021.1986590","url":null,"abstract":"ABSTRACT Accurate PV power forecasting techniques are a prerequisite for the optimal management of the grid and its stability. This paper presents a review of the recent developments in the field of PV power forecasting, mainly focusing on the literature which uses ML techniques. The ML techniques (sub-branch of artificial intelligence) are extensively used due to their ability to solve nonlinear and complex data structures. PV power forecasting can either be direct, or indirect, which involves solar irradiance forecast model, plane of array irradiance estimation model, and PV performance model. This paper presents a review of both of these pathways of PV power forecasting based on the proposed methodology, forecast horizons and the considered input parameters. In case of unavailability of historical PV power for a new PV plant and in case of failure of real-time data acquisition, indirect PV power forecasting can be a viable alternative. Although the performance ranking of various ML models is complicated and no model is universal, recent studies suggest that methodologies like deep neural networks and ensemble or hybrid models outperform conventional methods for short-term PV forecasting. Recent articles also present the various intelligent optimisation and data-preparation techniques to improve performance accuracy.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"14 1","pages":"1733 - 1755"},"PeriodicalIF":3.7,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46964582","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 : 2021-10-06DOI: 10.1080/19397038.2021.1982064
V. Tikkiwal, Sajai Vir Singh, H. Gupta
ABSTRACT Variable nature of solar energy leads to inconsistent performance of photovoltaic systems. Integration of photovoltaic systems with storage and grid mitigates variability issues and helps maximise self-consumption. This work presents a design methodology for a grid-connected photovoltaic system integrated with storage to meet an annual hourly average demand of 135 kWh of an establishment situated in northern India which receives a daily average solar insolation of 5.16 kWh/m2. System design has been carried out to meet the energy demand at minimised annualised cost. The annualised cost of the optimised system has been found to be US$115184.20/year. Analysis shows that the proposed model results in reduction in annualised cost by 32.27% and a net reduction in emissions by 610 MT as compared with the traditional grid power. Furthermore, multi-objective optimisation carried out to explore system design trade-offs between annualised cost, peak to average ratio of grid energy, and emissions, indicates that overall reduction in emissions by 15% could be obtained at 6.5% increased cost. It is also observed that reduction in grid-outages by 25% leads to reduction in AC by as high as 42.4%.
{"title":"Multi-objective optimisation of a grid-connected hybrid PV-battery system considering battery degradation","authors":"V. Tikkiwal, Sajai Vir Singh, H. Gupta","doi":"10.1080/19397038.2021.1982064","DOIUrl":"https://doi.org/10.1080/19397038.2021.1982064","url":null,"abstract":"ABSTRACT Variable nature of solar energy leads to inconsistent performance of photovoltaic systems. Integration of photovoltaic systems with storage and grid mitigates variability issues and helps maximise self-consumption. This work presents a design methodology for a grid-connected photovoltaic system integrated with storage to meet an annual hourly average demand of 135 kWh of an establishment situated in northern India which receives a daily average solar insolation of 5.16 kWh/m2. System design has been carried out to meet the energy demand at minimised annualised cost. The annualised cost of the optimised system has been found to be US$115184.20/year. Analysis shows that the proposed model results in reduction in annualised cost by 32.27% and a net reduction in emissions by 610 MT as compared with the traditional grid power. Furthermore, multi-objective optimisation carried out to explore system design trade-offs between annualised cost, peak to average ratio of grid energy, and emissions, indicates that overall reduction in emissions by 15% could be obtained at 6.5% increased cost. It is also observed that reduction in grid-outages by 25% leads to reduction in AC by as high as 42.4%.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"14 1","pages":"1769 - 1779"},"PeriodicalIF":3.7,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48866815","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 : 2021-10-06DOI: 10.1080/19397038.2021.1986593
C. Ng, S. Lam, K. Liu
ABSTRACT Road transport has been reported as a key contributor to environmental emissions. As the logistics network has become more complex nowadays, vehicle travelling distances, logistics cost, and the corresponding environmental burdens for transporting tangible goods have also increased. Typically, for small-and-medium sized enterprises (SMEs), a small scale of vehicle fleet is usually owned to support their pickup and delivery works but the scheduling of heterogeneous vehicle fleet is very often determined by intuitive judgement of the decision makers. In light of the heightened public awareness on environmental protection and energy saving, enterprises are in need of a systematic tool to support their decisions that could balance between cost and environmental burdens. This study has proposed an objective approach that utilises the Cuckoo Search algorithm to obtain an optimised solution for logistics planning factoring in the impact to both the environmental and cost dimensions. This proposed approach offers an end-of-pipe solution for an optimised assignment of the heterogeneous vehicle fleet and no further result interpretation is required. The approach is simple and efficient for implementation, applicable for the daily logistics planning in relation to heterogeneous vehicle fleet assignment.
{"title":"Environmental consideration in heterogeneous vehicle fleet assignment using cuckoo search","authors":"C. Ng, S. Lam, K. Liu","doi":"10.1080/19397038.2021.1986593","DOIUrl":"https://doi.org/10.1080/19397038.2021.1986593","url":null,"abstract":"ABSTRACT Road transport has been reported as a key contributor to environmental emissions. As the logistics network has become more complex nowadays, vehicle travelling distances, logistics cost, and the corresponding environmental burdens for transporting tangible goods have also increased. Typically, for small-and-medium sized enterprises (SMEs), a small scale of vehicle fleet is usually owned to support their pickup and delivery works but the scheduling of heterogeneous vehicle fleet is very often determined by intuitive judgement of the decision makers. In light of the heightened public awareness on environmental protection and energy saving, enterprises are in need of a systematic tool to support their decisions that could balance between cost and environmental burdens. This study has proposed an objective approach that utilises the Cuckoo Search algorithm to obtain an optimised solution for logistics planning factoring in the impact to both the environmental and cost dimensions. This proposed approach offers an end-of-pipe solution for an optimised assignment of the heterogeneous vehicle fleet and no further result interpretation is required. The approach is simple and efficient for implementation, applicable for the daily logistics planning in relation to heterogeneous vehicle fleet assignment.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"14 1","pages":"1907 - 1915"},"PeriodicalIF":3.7,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46241066","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 : 2021-10-06DOI: 10.1080/19397038.2021.1986594
S. Sinha, N. Modak
The present work presents a review of literature reviews in the area of recycling/reusing/remanufacturing supply chain research. It also highlights the contribution of the review papers published in this area. To collect the sample, we use the well-reputed search engine: SCOPUS and then screening it categorically and descriptively to finalise the sample for the study. A category, impact, and topic-related classification schemes are developed, and the 67 review works existed in our final sample are discussed in the light of these classification schemes. Sustainability has three different facets: environmental, economic, and social. Achieving sustainability for enhancing the quality of the environment, cost-effective economic concern, and benefit of society is the priority in most of the articles. The study identifies several emerging issues like ways of utilisation of food and vegetable waste, ways of collection of rare earth metals from secondary sources, integration of reverse and forward supply chain, sustainable smart and flexible production system, etc., to give higher preferences for future research. The classification framework presented in this article may assist researchers to realise research gaps and help them in writing high-quality research work in the future. ARTICLE HISTORY Received 1 April 2021 Accepted 21 September 2021
{"title":"A systematic review in recycling/reusing/re-manufacturing supply chain research: a tertiary study","authors":"S. Sinha, N. Modak","doi":"10.1080/19397038.2021.1986594","DOIUrl":"https://doi.org/10.1080/19397038.2021.1986594","url":null,"abstract":"The present work presents a review of literature reviews in the area of recycling/reusing/remanufacturing supply chain research. It also highlights the contribution of the review papers published in this area. To collect the sample, we use the well-reputed search engine: SCOPUS and then screening it categorically and descriptively to finalise the sample for the study. A category, impact, and topic-related classification schemes are developed, and the 67 review works existed in our final sample are discussed in the light of these classification schemes. Sustainability has three different facets: environmental, economic, and social. Achieving sustainability for enhancing the quality of the environment, cost-effective economic concern, and benefit of society is the priority in most of the articles. The study identifies several emerging issues like ways of utilisation of food and vegetable waste, ways of collection of rare earth metals from secondary sources, integration of reverse and forward supply chain, sustainable smart and flexible production system, etc., to give higher preferences for future research. The classification framework presented in this article may assist researchers to realise research gaps and help them in writing high-quality research work in the future. ARTICLE HISTORY Received 1 April 2021 Accepted 21 September 2021","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48321702","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 : 2021-10-06DOI: 10.1080/19397038.2021.1986595
S. Khan, Martin Agyemang, A. Ishizaka, S. Zaman, S. Ali, Jennifer Laval
ABSTRACT The purpose of this paper is to bring attention to the most critical factor of multi-tier sustainable supplier management in an emerging economy. This study used an explorative approach to identify and understand the barriers to multi-tier sustainable supplier management in Pakistan’s textile sector and strategies to overcome these barriers. The top three barriers are ‘lack of technical knowledge, lack of awareness, and lack of interest’. It further proposes eight strategies for overcoming these barriers to multi-tier sustainable supplier management in Pakistan’s textile sector. The top three strategies to overcome these barriers are ‘employee, supplier, and management training’, ‘expert support’, and ‘government regulation’. This study provides the holistic approach to multi-tier sustainable supplier management barriers of an emerging economy. Identified barriers will help and provide a base for textile sector managers and decision-makers in an emerging economy to develop policies and strategies to address identified barriers.
{"title":"Barriers and overcoming strategies to multi-tier sustainable supply chain management: an explorative study in an emerging economy","authors":"S. Khan, Martin Agyemang, A. Ishizaka, S. Zaman, S. Ali, Jennifer Laval","doi":"10.1080/19397038.2021.1986595","DOIUrl":"https://doi.org/10.1080/19397038.2021.1986595","url":null,"abstract":"ABSTRACT The purpose of this paper is to bring attention to the most critical factor of multi-tier sustainable supplier management in an emerging economy. This study used an explorative approach to identify and understand the barriers to multi-tier sustainable supplier management in Pakistan’s textile sector and strategies to overcome these barriers. The top three barriers are ‘lack of technical knowledge, lack of awareness, and lack of interest’. It further proposes eight strategies for overcoming these barriers to multi-tier sustainable supplier management in Pakistan’s textile sector. The top three strategies to overcome these barriers are ‘employee, supplier, and management training’, ‘expert support’, and ‘government regulation’. This study provides the holistic approach to multi-tier sustainable supplier management barriers of an emerging economy. Identified barriers will help and provide a base for textile sector managers and decision-makers in an emerging economy to develop policies and strategies to address identified barriers.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"14 1","pages":"1484 - 1495"},"PeriodicalIF":3.7,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44842507","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 : 2021-10-03DOI: 10.1080/19397038.2021.1982063
Suneet Singh, A. Barve, S. Shanker
ABSTRACT Green freight transportation (GFT) came into existence as an important thrust and effort to control the increasing environmental impacts resulting from global carbon-dioxide emissions. However, the successful implementation of GFT is rarely reported in India. Therefore, we have tried to look at the hindrances affecting the smooth performance of GFT in India. In this present work, 12 relevant barriers have been identified under 3 main dimensions from the literature. Furthermore, the parameters are classified based on their dependency and driving power (DP) with the help of fuzzy MICMAC analysis. In addition to this, a structural model of the recognised obstacles has been established using the interpretive structural modelling technique. Afterwards, grey-DEMATEL (g-DEMATEL) is applied to establish the cause–effect relationship between constraints. Also, an integrated ISM-DEMATEL model has been employed to form an evident understanding of these barriers. This study’s findings illustrate that ‘Information Distortion’ (OS4), ‘Lack of Commitment by Top Management’ (O2), and ‘Lack of Strategic Planning’ (OS3) should be given due consideration to ensure proper implementation of GFT in India. The current research is unique as it enriches the existing literature by providing analytical support to the relationship between various barriers.
{"title":"An ISM-gDEMATEL framework for assessing barriers to green freight transportation: a case of Indian logistics system","authors":"Suneet Singh, A. Barve, S. Shanker","doi":"10.1080/19397038.2021.1982063","DOIUrl":"https://doi.org/10.1080/19397038.2021.1982063","url":null,"abstract":"ABSTRACT Green freight transportation (GFT) came into existence as an important thrust and effort to control the increasing environmental impacts resulting from global carbon-dioxide emissions. However, the successful implementation of GFT is rarely reported in India. Therefore, we have tried to look at the hindrances affecting the smooth performance of GFT in India. In this present work, 12 relevant barriers have been identified under 3 main dimensions from the literature. Furthermore, the parameters are classified based on their dependency and driving power (DP) with the help of fuzzy MICMAC analysis. In addition to this, a structural model of the recognised obstacles has been established using the interpretive structural modelling technique. Afterwards, grey-DEMATEL (g-DEMATEL) is applied to establish the cause–effect relationship between constraints. Also, an integrated ISM-DEMATEL model has been employed to form an evident understanding of these barriers. This study’s findings illustrate that ‘Information Distortion’ (OS4), ‘Lack of Commitment by Top Management’ (O2), and ‘Lack of Strategic Planning’ (OS3) should be given due consideration to ensure proper implementation of GFT in India. The current research is unique as it enriches the existing literature by providing analytical support to the relationship between various barriers.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"14 1","pages":"1871 - 1892"},"PeriodicalIF":3.7,"publicationDate":"2021-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44514886","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 : 2021-10-03DOI: 10.1080/19397038.2021.1986591
Mahsa Zokaee, A. Nazari, A. Aghsami, F. Jolai
ABSTRACT The growing concerns about the Earth’s climate system and the increasing importance of saving raw materials are critical challenges that supply chain members mostly face, leading companies to sustainability and ‘going green’ missions. Environmentally friendly inventory management is one of the most crucial and key decisions that creates innovative methodologies to achieve green growth. Hence, in this study, we analyse a newsvendor problem among manufacturers and retailers under random demand to facilitate sustainable and green growth approaches. In our analytical model, two ways are considered to meet the needs of retailers. In the first case, the retailer orders before the sales season, so the remanufacturer will have enough time to remanufacture returned products and provide the retailer’s needs with recycled materials. In the second case, the retailer will re-order after the start of the sales season in the face of a shortage. So, the remanufacturer will not have enough time to supply the retailer with returned materials, and the retailer’s order will be met with new products using raw materials. The model intends to study the effects of carbon footprint constraints, vertical integration, buyback contract, and retailer’s sales effort on inventory control systems with remanufacturers. Furthermore, sensitivity analysis is performed, and conclusions and future research directions are provided.
{"title":"An inventory system with coordination among manufacturers and retailers under buyback contract, vertical integration, retailer’s effort and carbon footprint constraint","authors":"Mahsa Zokaee, A. Nazari, A. Aghsami, F. Jolai","doi":"10.1080/19397038.2021.1986591","DOIUrl":"https://doi.org/10.1080/19397038.2021.1986591","url":null,"abstract":"ABSTRACT The growing concerns about the Earth’s climate system and the increasing importance of saving raw materials are critical challenges that supply chain members mostly face, leading companies to sustainability and ‘going green’ missions. Environmentally friendly inventory management is one of the most crucial and key decisions that creates innovative methodologies to achieve green growth. Hence, in this study, we analyse a newsvendor problem among manufacturers and retailers under random demand to facilitate sustainable and green growth approaches. In our analytical model, two ways are considered to meet the needs of retailers. In the first case, the retailer orders before the sales season, so the remanufacturer will have enough time to remanufacture returned products and provide the retailer’s needs with recycled materials. In the second case, the retailer will re-order after the start of the sales season in the face of a shortage. So, the remanufacturer will not have enough time to supply the retailer with returned materials, and the retailer’s order will be met with new products using raw materials. The model intends to study the effects of carbon footprint constraints, vertical integration, buyback contract, and retailer’s sales effort on inventory control systems with remanufacturers. Furthermore, sensitivity analysis is performed, and conclusions and future research directions are provided.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"14 1","pages":"1551 - 1571"},"PeriodicalIF":3.7,"publicationDate":"2021-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47085687","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 : 2021-10-03DOI: 10.1080/19397038.2021.1986596
N. Ranganath, Debasis Sarkar
ABSTRACT This paper aims at the application of Life-Cycle-Costing (LCC) analysis of sustainable renewable energy like solar photo voltaic generation system in India to find out its viability and techno-economic feasibility. Life-Cycle-Costinganalysis is employed to evaluate the long term benefit of the huge investments in India’s ambitious plan of setting up nearly 100 GW installed solar power capacity by December 2022. For renewable energy systems, this methodology shows the cost-effectiveness of being used as an alternative source compared to conventional power generations. Case studies of six solar power plants in India in the state of Karnataka, Gujarat, Andhra Pradesh, Tamil Nadu, New Delhi and Rajasthan were considered to find out the economic viability of the feasibility of the solar power plants in India. It has been observed that in an emerging economy like India, the feasibility and economic viability of solar power plants are quite high. The cash flow analysis for all six cases confirms that project payback depends on initial investment and rate of Power–Purchase-Agreement (PPA). It has been observed that the payback period is generally less than eight years. Thereby the techno-economic feasibility of the solar power plant projects in India is quite high.
{"title":"Life Cycle Costing Analysis of Solar Photo Voltaic Generation System in Indian Scenario","authors":"N. Ranganath, Debasis Sarkar","doi":"10.1080/19397038.2021.1986596","DOIUrl":"https://doi.org/10.1080/19397038.2021.1986596","url":null,"abstract":"ABSTRACT This paper aims at the application of Life-Cycle-Costing (LCC) analysis of sustainable renewable energy like solar photo voltaic generation system in India to find out its viability and techno-economic feasibility. Life-Cycle-Costinganalysis is employed to evaluate the long term benefit of the huge investments in India’s ambitious plan of setting up nearly 100 GW installed solar power capacity by December 2022. For renewable energy systems, this methodology shows the cost-effectiveness of being used as an alternative source compared to conventional power generations. Case studies of six solar power plants in India in the state of Karnataka, Gujarat, Andhra Pradesh, Tamil Nadu, New Delhi and Rajasthan were considered to find out the economic viability of the feasibility of the solar power plants in India. It has been observed that in an emerging economy like India, the feasibility and economic viability of solar power plants are quite high. The cash flow analysis for all six cases confirms that project payback depends on initial investment and rate of Power–Purchase-Agreement (PPA). It has been observed that the payback period is generally less than eight years. Thereby the techno-economic feasibility of the solar power plant projects in India is quite high.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"14 1","pages":"1698 - 1713"},"PeriodicalIF":3.7,"publicationDate":"2021-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49006072","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 : 2021-09-27DOI: 10.1080/19397038.2021.1982065
Mohammad Moosavi, P. Ghorbannezhad, M. Azizi, H. Zarea Hosseinabadi
ABSTRACT Life cycle assessment (LCA) is an attractive approach to implement the waste management system in terms of environmental sustainability. The variety of environmental options has been made an emergence requirement a methodology to choose the best options for decision-makers. This paper aims to generate a comprehensive model to facilitate the life cycle products to develop a cleaner production strategy in paper manufacture. In the first step, the requirement and adopting models are applied to determine the main criteria of LCA. Then, an analytical hierarchy process (AHP) model is designed to assess the LCA qualification of the paper manufacturing process according to the selected criteria. The environmental impact, production process, technical capability, raw material, energy consumption, human resource, manufactured products, and economic are selected as a higher priority after considering the requirement and adopting the decision model. Pair-wise comparative of 52 sub-criteria showed that circulating of water and solid waste reusing from wastewater treatment plant through dissolved air flotation (DAF) and disk filter enables us to have many advantages not only the pollutants removal but also the enhancement of the LCA framework.
{"title":"Evaluation of life cycle assessment in a paper manufacture by analytical hierarchy process","authors":"Mohammad Moosavi, P. Ghorbannezhad, M. Azizi, H. Zarea Hosseinabadi","doi":"10.1080/19397038.2021.1982065","DOIUrl":"https://doi.org/10.1080/19397038.2021.1982065","url":null,"abstract":"ABSTRACT Life cycle assessment (LCA) is an attractive approach to implement the waste management system in terms of environmental sustainability. The variety of environmental options has been made an emergence requirement a methodology to choose the best options for decision-makers. This paper aims to generate a comprehensive model to facilitate the life cycle products to develop a cleaner production strategy in paper manufacture. In the first step, the requirement and adopting models are applied to determine the main criteria of LCA. Then, an analytical hierarchy process (AHP) model is designed to assess the LCA qualification of the paper manufacturing process according to the selected criteria. The environmental impact, production process, technical capability, raw material, energy consumption, human resource, manufactured products, and economic are selected as a higher priority after considering the requirement and adopting the decision model. Pair-wise comparative of 52 sub-criteria showed that circulating of water and solid waste reusing from wastewater treatment plant through dissolved air flotation (DAF) and disk filter enables us to have many advantages not only the pollutants removal but also the enhancement of the LCA framework.","PeriodicalId":14400,"journal":{"name":"International Journal of Sustainable Engineering","volume":"14 1","pages":"1647 - 1657"},"PeriodicalIF":3.7,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46577332","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：