Abstract Previous studies on the relationship between environmental regulation (ER) and technological innovation efficiency of defence industry (TIE-DI) mainly focus on variability and complexity, while few empirical studies have incorporated environmental flexibility into models, and most of them are based on questionnaires. Therefore, this paper takes environmental regulation and environmental policy complexity (EPC) as the entry point, so as to discuss the feasibility of improving the technological innovation efficiency of China’s defence industry enterprises (CDI), which aims to empirically test the mechanism of ER and EPC on improving the efficiency of applied technological innovation of China’s defence industry enterprises. The research conclusion provides sufficient theoretical basis and empirical support for strengthening the technical innovation efficiency support, standardising the market order and the market leading, establishing the information disclosure mechanism and improving the internal control of industrial enterprises.
{"title":"Environmental Regulation, Environmental Policy Complexity and Technological Innovation Efficiency","authors":"Shaoyan Wu, Hebei Wang, Miao He, Chang Qin","doi":"10.2478/eces-2023-0015","DOIUrl":"https://doi.org/10.2478/eces-2023-0015","url":null,"abstract":"Abstract Previous studies on the relationship between environmental regulation (ER) and technological innovation efficiency of defence industry (TIE-DI) mainly focus on variability and complexity, while few empirical studies have incorporated environmental flexibility into models, and most of them are based on questionnaires. Therefore, this paper takes environmental regulation and environmental policy complexity (EPC) as the entry point, so as to discuss the feasibility of improving the technological innovation efficiency of China’s defence industry enterprises (CDI), which aims to empirically test the mechanism of ER and EPC on improving the efficiency of applied technological innovation of China’s defence industry enterprises. The research conclusion provides sufficient theoretical basis and empirical support for strengthening the technical innovation efficiency support, standardising the market order and the market leading, establishing the information disclosure mechanism and improving the internal control of industrial enterprises.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"1 1","pages":"159 - 166"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88743308","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}
Abstract In the context of today’s green development, it is the core task of the financial sector at all levels to enhance the utilisation of resources and to guide the high-quality development of industries, especially to channel funds originally gathered in high-pollution and energy-intensive industries to sectors with green and high-technology, to achieve the harmonious development of the economy and the resources and environment. This paper proposes a green financial text classification model based on machine learning. The model consists of four modules: the input module, the data analysis module, the data category module, and the classification module. Among them, the data analysis module and the data category module extract the data information of the input information and the green financial category information respectively, and the two types of information are finally fused by the attention mechanism to achieve the classification of green financial data in financial data. Extensive experiments are conducted on financial text datasets collected from the Internet to demonstrate the superiority of the proposed green financial text classification method.
{"title":"The Impact of Green Finance Development on Ecological Protection Based on Machine Learning","authors":"Ting Zhang","doi":"10.2478/eces-2023-0008","DOIUrl":"https://doi.org/10.2478/eces-2023-0008","url":null,"abstract":"Abstract In the context of today’s green development, it is the core task of the financial sector at all levels to enhance the utilisation of resources and to guide the high-quality development of industries, especially to channel funds originally gathered in high-pollution and energy-intensive industries to sectors with green and high-technology, to achieve the harmonious development of the economy and the resources and environment. This paper proposes a green financial text classification model based on machine learning. The model consists of four modules: the input module, the data analysis module, the data category module, and the classification module. Among them, the data analysis module and the data category module extract the data information of the input information and the green financial category information respectively, and the two types of information are finally fused by the attention mechanism to achieve the classification of green financial data in financial data. Extensive experiments are conducted on financial text datasets collected from the Internet to demonstrate the superiority of the proposed green financial text classification method.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"47 1","pages":"103 - 110"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77244332","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}
Abstract Enhancing the low-carbon effect of green finance development (GFD) is an effective way for China to accelerate the comprehensive deepening of supply side structural reform, better realise the high-quality development of green economy and better protect the environment. Therefore, based on the green technology innovation theory and endogenous growth theory, from the four dimensions of green innovation (GI) in the GLOBIO model, the unbalanced panel data of 8976 manufacturing listed companies from 2009 to 2021 were used. This paper deeply explores the low-carbon effect of GI on the development of green finance (GF) in China’s manufacturing industry. The results show that: on the whole, GI based on environmental protection has a significant incentive effect on the low-carbon effect of GFD. Compared with green material innovation and green process innovation, green product design innovation and green equipment innovation have more incentive effect. Further analysis shows that green product design innovation and green equipment innovation can produce incremental effect on the low-carbon effect of green financial development through green material innovation. The conclusion not only provides empirical support for green technology innovation theory and endogenous growth theory, but also provides effective evidence for the path of GF to achieve low-carbon development.
{"title":"Research on the Low Carbon of GFD: From the Perspective of GL Based on Environmental Protection","authors":"Mingyu Niu, Dan Xu","doi":"10.2478/eces-2023-0007","DOIUrl":"https://doi.org/10.2478/eces-2023-0007","url":null,"abstract":"Abstract Enhancing the low-carbon effect of green finance development (GFD) is an effective way for China to accelerate the comprehensive deepening of supply side structural reform, better realise the high-quality development of green economy and better protect the environment. Therefore, based on the green technology innovation theory and endogenous growth theory, from the four dimensions of green innovation (GI) in the GLOBIO model, the unbalanced panel data of 8976 manufacturing listed companies from 2009 to 2021 were used. This paper deeply explores the low-carbon effect of GI on the development of green finance (GF) in China’s manufacturing industry. The results show that: on the whole, GI based on environmental protection has a significant incentive effect on the low-carbon effect of GFD. Compared with green material innovation and green process innovation, green product design innovation and green equipment innovation have more incentive effect. Further analysis shows that green product design innovation and green equipment innovation can produce incremental effect on the low-carbon effect of green financial development through green material innovation. The conclusion not only provides empirical support for green technology innovation theory and endogenous growth theory, but also provides effective evidence for the path of GF to achieve low-carbon development.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"11 1","pages":"93 - 101"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88710377","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}
Wei Liu, Chia-Huei Wu, S. Tsai, Xuefeng Shao, M. Wacławek
{"title":"Corporate Environmental Management in the Context of Digital Transformation","authors":"Wei Liu, Chia-Huei Wu, S. Tsai, Xuefeng Shao, M. Wacławek","doi":"10.2478/eces-2023-0006","DOIUrl":"https://doi.org/10.2478/eces-2023-0006","url":null,"abstract":"","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"5 1","pages":"91 - 92"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81991857","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}
Sajina Narath, S. Shankar, Saranya Kothaplamoottil Sivan, Bini George, T. D. Thomas, S. Sabarinath, Sajithkumar K. Jayaprakash, S. Wacławek, V. Padil
Abstract The plant mediated biogenic synthesis of nanoparticles is of magnificent concern due to its eco-benign and single pot nature. Here, Cinnamomum tamala (C. tamala) aqueous leaf extract was utilised for the silver nanoparticles’ (Ag NPs) synthesis. The phytoconstituents in the leaf extract were analysed by standard methods. These metabolites, especially carbohydrate polymers reduce Ag ions to Ag NPs accompanied by a reddish-brown coloration of the reaction mixture. The visual observation of intense brown colour is the first indication of the formation of Ag NPs. Various spectro-analytical techniques further characterise the Ag NPs. The green synthesised spherical Ag NPs were crystalline with an average size of 38 nm. The Ag NPs were scrutinised for antioxidant, antimicrobial and cytotoxic activity and obtained good results. The free radical scavenging was studied by 2, 2-Diphenyl-l-picrylhydrazyl (DPPH) assay. The antibacterial activity of Ag NPs was assessed against human pathogens, and it shown to have good antibacterial potency against a wide spectrum of bacteria. The cytotoxic activity against HEK-293T (human embryonic kidney) cell line was evaluated by 2,3-bis-(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide (XTT) assay. These potent biological activities enable C. tamala capped Ag NPs to be suitable candidates for the future applications in various fields, predominantly clinical and biomedical.
{"title":"Facile Green Synthesis of Cinnamomum tamala Extract Capped Silver Nanoparticles and its Biological Applications","authors":"Sajina Narath, S. Shankar, Saranya Kothaplamoottil Sivan, Bini George, T. D. Thomas, S. Sabarinath, Sajithkumar K. Jayaprakash, S. Wacławek, V. Padil","doi":"10.2478/eces-2023-0001","DOIUrl":"https://doi.org/10.2478/eces-2023-0001","url":null,"abstract":"Abstract The plant mediated biogenic synthesis of nanoparticles is of magnificent concern due to its eco-benign and single pot nature. Here, Cinnamomum tamala (C. tamala) aqueous leaf extract was utilised for the silver nanoparticles’ (Ag NPs) synthesis. The phytoconstituents in the leaf extract were analysed by standard methods. These metabolites, especially carbohydrate polymers reduce Ag ions to Ag NPs accompanied by a reddish-brown coloration of the reaction mixture. The visual observation of intense brown colour is the first indication of the formation of Ag NPs. Various spectro-analytical techniques further characterise the Ag NPs. The green synthesised spherical Ag NPs were crystalline with an average size of 38 nm. The Ag NPs were scrutinised for antioxidant, antimicrobial and cytotoxic activity and obtained good results. The free radical scavenging was studied by 2, 2-Diphenyl-l-picrylhydrazyl (DPPH) assay. The antibacterial activity of Ag NPs was assessed against human pathogens, and it shown to have good antibacterial potency against a wide spectrum of bacteria. The cytotoxic activity against HEK-293T (human embryonic kidney) cell line was evaluated by 2,3-bis-(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide (XTT) assay. These potent biological activities enable C. tamala capped Ag NPs to be suitable candidates for the future applications in various fields, predominantly clinical and biomedical.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"40 1","pages":"7 - 21"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82248155","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}
W. Przystaś, E. Zabłocka-Godlewska, E. Melaniuk-Wolny
Abstract The indoor air quality is of great importance for the health of people. Appropriate selection of methods, parameters and conditions for the analysis makes it possible to obtain the results that reliably reflect the actual state of affairs. The aim of this study was to compare the results of microbiological air analysis in selected rooms of the Biotechnology Center obtained using the sedimentation method and the impaction method. During the research, the SMA (for total bacteria number) and Sabouraud media (for total fungi number) were exposed to different times in sedimentation analysis and to different air volumes in the impaction method. In the case of the sedimentation method, significant differences were found in the total number of bacteria and fungi in 3 out of 7 rooms depending on the time of exposure. In the case of the impaction method, it was 4 out of 7 rooms for bacteria and 2 out of 7 for fungi, depending on the analysed volume of air. The comparison of the methods showed that 4 out of 6 rooms had higher number of microorganisms when impactor was used.
{"title":"A Comparison of Sedimentation Method and Active Sampler Analysis of Microbiological Indoor Air Quality - Case Study","authors":"W. Przystaś, E. Zabłocka-Godlewska, E. Melaniuk-Wolny","doi":"10.2478/eces-2023-0009","DOIUrl":"https://doi.org/10.2478/eces-2023-0009","url":null,"abstract":"Abstract The indoor air quality is of great importance for the health of people. Appropriate selection of methods, parameters and conditions for the analysis makes it possible to obtain the results that reliably reflect the actual state of affairs. The aim of this study was to compare the results of microbiological air analysis in selected rooms of the Biotechnology Center obtained using the sedimentation method and the impaction method. During the research, the SMA (for total bacteria number) and Sabouraud media (for total fungi number) were exposed to different times in sedimentation analysis and to different air volumes in the impaction method. In the case of the sedimentation method, significant differences were found in the total number of bacteria and fungi in 3 out of 7 rooms depending on the time of exposure. In the case of the impaction method, it was 4 out of 7 rooms for bacteria and 2 out of 7 for fungi, depending on the analysed volume of air. The comparison of the methods showed that 4 out of 6 rooms had higher number of microorganisms when impactor was used.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"87 1","pages":"37 - 48"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83559431","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}
Abstract Based on the matching perspective, an analytical framework including external search strategy, organisational improvisation and structural flexibility is established. The purpose of this study is to explore the influence of external search strategy on firm innovation. The results show that, first, market information search has a positive impact on innovation quality and innovation speed. Secondly, the influence of technical knowledge search on innovation quality is moderated by organisational improvisation and structural flexibility. Thirdly, technical knowledge search has a positive impact on the innovation quality of enterprises. Fourthly, technical knowledge search has a positive impact on the innovation speed of enterprises.
{"title":"Research on the Influence of External Search Strategy on Enterprise Innovation","authors":"Zhengrui Li, Kaiyun Zhang, Jiangwei Dang, Siqi Zheng, Rui Wang, Ze-chen Wang","doi":"10.2478/eces-2023-0010","DOIUrl":"https://doi.org/10.2478/eces-2023-0010","url":null,"abstract":"Abstract Based on the matching perspective, an analytical framework including external search strategy, organisational improvisation and structural flexibility is established. The purpose of this study is to explore the influence of external search strategy on firm innovation. The results show that, first, market information search has a positive impact on innovation quality and innovation speed. Secondly, the influence of technical knowledge search on innovation quality is moderated by organisational improvisation and structural flexibility. Thirdly, technical knowledge search has a positive impact on the innovation quality of enterprises. Fourthly, technical knowledge search has a positive impact on the innovation speed of enterprises.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"34 1","pages":"111 - 116"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81017270","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}
Abstract In this case study we compared the fertiliser properties of an industrial wastewater treatment sludge and a sludge ash to the requirements of the Finnish Fertiliser Product Decree. The sludge was obtained from the activated sludge wastewater treatment plant of a Finnish non-integrated pulp mill. The sludge was furthermore incinerated at a laboratory in a muffle furnace (850 °C) to obtain sludge ash. The total Cd (4.9 mg/kg d.m.) concentration in the pulp sludge exceeded the Finnish limit value (1.5 mg/kg d.m.) for fertiliser products used in agriculture. In the sludge ash, the total concentration of Cd (39 mg/kg; d.m.) exceeded the Finnish limit value (25 mg/kg d.m.) for ash fertilisers used in forestry. These results restrict the potential reuse options of these residues. However, from the utilisation point of view, the enrichment of essential plant macro-nutrients was most notable, resulting to the following total concentrations of these elements in the sludge ash: P (26,000 mg/kg d.m.), S (40,000 mg/kg d.m.), K (11,000 mg/kg d.m.), Ca (83,000 mg/kg d.m.) and Mg (10,000 mg/kg d.m.). Therefore, we conclude that, the converting of sludge into ash may promote the reuse of this wastewater treatment residue to a more value-adding fertiliser by-product to be used as a soil improver and growing medium in landscaping or landfills sites or other closed industrial areas, where heavy metal limit values for fertilisers are not applied in Finland.
摘要在本案例研究中，我们比较了工业废水处理污泥和污泥灰的肥料特性，以满足芬兰肥料产品法令的要求。该污泥来自芬兰一家非一体化纸浆厂的活性污泥废水处理厂。污泥进一步在实验室的马弗炉(850°C)中焚烧以获得污泥灰。纸浆污泥中总Cd浓度(4.9 mg/kg d.m.)超过了芬兰农业用肥料产品的限值(1.5 mg/kg d.m. m.)。在污泥灰分中，Cd的总浓度为(39 mg/kg;)超过了芬兰用于林业的灰分肥料的限值(25毫克/千克)。这些结果限制了这些残留物的潜在再利用选择。然而，从利用的角度来看，必需植物大量营养素的富集最为显著，导致污泥灰中这些元素的总浓度如下:P (26,000 mg/kg d.m)， S (40,000 mg/kg d.m)， K (11,000 mg/kg d.m)， Ca (83,000 mg/kg d.m)和mg (10,000 mg/kg d.m)。因此，我们得出结论，将污泥转化为灰烬可能会促进这种废水处理残留物的再利用，使其成为更具附加值的肥料副产品，用作景观美化或垃圾填埋场或其他封闭工业区的土壤改进剂和生长介质，在芬兰，这些地区不适用肥料的重金属限值。
{"title":"Fertiliser Properties of Wastewater Sludge and Sludge Ash - A Case Study from the Finnish Forest Industry","authors":"J. Oksanen, R. Pöykiö, O. Dahl","doi":"10.2478/eces-2023-0004","DOIUrl":"https://doi.org/10.2478/eces-2023-0004","url":null,"abstract":"Abstract In this case study we compared the fertiliser properties of an industrial wastewater treatment sludge and a sludge ash to the requirements of the Finnish Fertiliser Product Decree. The sludge was obtained from the activated sludge wastewater treatment plant of a Finnish non-integrated pulp mill. The sludge was furthermore incinerated at a laboratory in a muffle furnace (850 °C) to obtain sludge ash. The total Cd (4.9 mg/kg d.m.) concentration in the pulp sludge exceeded the Finnish limit value (1.5 mg/kg d.m.) for fertiliser products used in agriculture. In the sludge ash, the total concentration of Cd (39 mg/kg; d.m.) exceeded the Finnish limit value (25 mg/kg d.m.) for ash fertilisers used in forestry. These results restrict the potential reuse options of these residues. However, from the utilisation point of view, the enrichment of essential plant macro-nutrients was most notable, resulting to the following total concentrations of these elements in the sludge ash: P (26,000 mg/kg d.m.), S (40,000 mg/kg d.m.), K (11,000 mg/kg d.m.), Ca (83,000 mg/kg d.m.) and Mg (10,000 mg/kg d.m.). Therefore, we conclude that, the converting of sludge into ash may promote the reuse of this wastewater treatment residue to a more value-adding fertiliser by-product to be used as a soil improver and growing medium in landscaping or landfills sites or other closed industrial areas, where heavy metal limit values for fertilisers are not applied in Finland.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"64 1","pages":"63 - 78"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74095213","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}
Abstract In today’s world, fossil fuels, including coal, oil, and gas, are the primary energy sources from which electricity is obtained. As they are exhaustible and their exploitation has a negative impact on the natural environment, they should be, at least partially, replaced by renewable energy sources. The implementation of this goal depends on a number of factors, including social and political, the existence of investment support programmes, and the need to lower electricity prices and ensuring energy security. One of these sources is solar energy. Each year, the Earth receives around 1 · 1018 kWh of solar energy, which is more than 1000 times the current global energy demand. This is therefore a vast source of energy that can be tapped to satisfy human energy requirements. The use of solar energy releases no CO2, SO2, or NO2 gases, and does not contribute to global warming. Photovoltaics is one of the technologies that makes it possible to generate electricity in an environmentally friendly manner. By using the energy of solar radiation, a photovoltaic cell converts energy without emitting harmful substances to the atmosphere, noise, and waste. Photovoltaics is the cleanest technology among all the technologies that use renewable energy. Considering the shorter and shorter times needed to generate energy equal to that required by the module production process, during its lifetime it will produce much more electricity than was used to produce it. This results in a reduction in greenhouse gas emissions. For example, during its lifetime, a 200 Wp module prevents the emission of over four tonnes (Mg = 106 g) of carbon dioxide. Although the technologies for the production of photovoltaic cells and modules entail a lower environmental burden compared to other sources of electricity, it is necessary to remember about the risks associated with the use of chemicals at the stage of module production, which threatens their release to groundwater or air, and the need to recycle modules after their disassembly. Also, the energy consumption in the production phase of PV systems significantly worsens the ecological balance. This article presents an analysis of the impact of the materials and technologies used on the result of the environmental analysis of PV installations. In the article a detailed energy balance analysis of the EPBT value has been carried out. The values of greenhouse gas emissions throughout the life cycle of the solar module were determined. Methods of limiting the impact of photovoltaic technologies on the natural environment were indicated.
{"title":"Environmental Assessment of Solar Cell Materials","authors":"E. Klugmann-Radziemska","doi":"10.2478/eces-2023-0002","DOIUrl":"https://doi.org/10.2478/eces-2023-0002","url":null,"abstract":"Abstract In today’s world, fossil fuels, including coal, oil, and gas, are the primary energy sources from which electricity is obtained. As they are exhaustible and their exploitation has a negative impact on the natural environment, they should be, at least partially, replaced by renewable energy sources. The implementation of this goal depends on a number of factors, including social and political, the existence of investment support programmes, and the need to lower electricity prices and ensuring energy security. One of these sources is solar energy. Each year, the Earth receives around 1 · 1018 kWh of solar energy, which is more than 1000 times the current global energy demand. This is therefore a vast source of energy that can be tapped to satisfy human energy requirements. The use of solar energy releases no CO2, SO2, or NO2 gases, and does not contribute to global warming. Photovoltaics is one of the technologies that makes it possible to generate electricity in an environmentally friendly manner. By using the energy of solar radiation, a photovoltaic cell converts energy without emitting harmful substances to the atmosphere, noise, and waste. Photovoltaics is the cleanest technology among all the technologies that use renewable energy. Considering the shorter and shorter times needed to generate energy equal to that required by the module production process, during its lifetime it will produce much more electricity than was used to produce it. This results in a reduction in greenhouse gas emissions. For example, during its lifetime, a 200 Wp module prevents the emission of over four tonnes (Mg = 106 g) of carbon dioxide. Although the technologies for the production of photovoltaic cells and modules entail a lower environmental burden compared to other sources of electricity, it is necessary to remember about the risks associated with the use of chemicals at the stage of module production, which threatens their release to groundwater or air, and the need to recycle modules after their disassembly. Also, the energy consumption in the production phase of PV systems significantly worsens the ecological balance. This article presents an analysis of the impact of the materials and technologies used on the result of the environmental analysis of PV installations. In the article a detailed energy balance analysis of the EPBT value has been carried out. The values of greenhouse gas emissions throughout the life cycle of the solar module were determined. Methods of limiting the impact of photovoltaic technologies on the natural environment were indicated.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"22 1","pages":"23 - 35"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72708868","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}
Abstract With the deepening of green and sustainable development and the rapid development of the social economy, the modern logistics industry has also developed to an unprecedented level. In the logistics supply chain, due to the high value of the items inside the arrival carton, appearance inspection must be carried out before warehousing. However, manual inspection is slow and ineffective, resulting in the waste of manpower and packaging carton resources, which is not conducive to sustainable development. To address the above problems, this paper designs a logistics supply chain carton packaging quality defect detection system based on improved Single Shot MultiBox Detector (SSD) in the context of green sustainable development. The Implicit Feature Pyramid Network (IFPN) is introduced into SSD to improve the feature extraction ability of the model; the multiscale attention mechanism is introduced to collect more feature information. The experiment shows that the mAP and FPS of the system on the self-built data set reach 0.9662 and 36 respectively, which can realise the detection of the appearance defects of logistics cartons and help promote green sustainable development.
{"title":"SSD-Based Carton Packaging Quality Defect Detection System for the Logistics Supply Chain","authors":"Bing Song, Yan Wang, Lixia Lou","doi":"10.2478/eces-2023-0011","DOIUrl":"https://doi.org/10.2478/eces-2023-0011","url":null,"abstract":"Abstract With the deepening of green and sustainable development and the rapid development of the social economy, the modern logistics industry has also developed to an unprecedented level. In the logistics supply chain, due to the high value of the items inside the arrival carton, appearance inspection must be carried out before warehousing. However, manual inspection is slow and ineffective, resulting in the waste of manpower and packaging carton resources, which is not conducive to sustainable development. To address the above problems, this paper designs a logistics supply chain carton packaging quality defect detection system based on improved Single Shot MultiBox Detector (SSD) in the context of green sustainable development. The Implicit Feature Pyramid Network (IFPN) is introduced into SSD to improve the feature extraction ability of the model; the multiscale attention mechanism is introduced to collect more feature information. The experiment shows that the mAP and FPS of the system on the self-built data set reach 0.9662 and 36 respectively, which can realise the detection of the appearance defects of logistics cartons and help promote green sustainable development.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"44 1","pages":"117 - 123"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91193138","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}
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