Pub Date : 2022-06-21DOI: 10.1177/0958305X221109604
Raju Gollangi, K. Nagamalleswara Rao
Nowadays, with the growing demand for energy and effective utilization of various available sources with the exorable techniques and approaches to maximize the efficiency of energy systems. This work has developed the synthesis of Methyl chloride (MC) from the methane chlorination process using the ASPEN HYSYS simulation tool. A Searchable analysis has been done on thermodynamic derivatives (likely Energy, Exergy) to probation on the entire process. This analysis calculates all process components’ energy loss, destruction and energy, and exergy efficiencies. A heavier energy loss has been found at Reactor (ERV) with 1785.5 kW and exergy destruction of 18.8% share. Heat Exchanger Network (HEN) has energy loss (960.32kW) & exergy destruction (791.29kW). The proposed new retrofit sustainable model recovered the waste heat from the HEN and achieved energy efficiency of 87.6% and exergy efficiency of 87.3% of the total MC process. Four Machine learning models were developed for the reactor (ERV) process to predict exergy destruction. The artificial Neural network (ANN) gave good testing predictions, followed by the Random Forest (RF) with a determination coefficient (R2) of 0.999957 and 0.999981.
{"title":"Energetic, exergetic analysis and machine learning of methane chlorination process for methyl chloride production","authors":"Raju Gollangi, K. Nagamalleswara Rao","doi":"10.1177/0958305X221109604","DOIUrl":"https://doi.org/10.1177/0958305X221109604","url":null,"abstract":"Nowadays, with the growing demand for energy and effective utilization of various available sources with the exorable techniques and approaches to maximize the efficiency of energy systems. This work has developed the synthesis of Methyl chloride (MC) from the methane chlorination process using the ASPEN HYSYS simulation tool. A Searchable analysis has been done on thermodynamic derivatives (likely Energy, Exergy) to probation on the entire process. This analysis calculates all process components’ energy loss, destruction and energy, and exergy efficiencies. A heavier energy loss has been found at Reactor (ERV) with 1785.5 kW and exergy destruction of 18.8% share. Heat Exchanger Network (HEN) has energy loss (960.32kW) & exergy destruction (791.29kW). The proposed new retrofit sustainable model recovered the waste heat from the HEN and achieved energy efficiency of 87.6% and exergy efficiency of 87.3% of the total MC process. Four Machine learning models were developed for the reactor (ERV) process to predict exergy destruction. The artificial Neural network (ANN) gave good testing predictions, followed by the Random Forest (RF) with a determination coefficient (R2) of 0.999957 and 0.999981.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"3 1","pages":"2432 - 2453"},"PeriodicalIF":4.2,"publicationDate":"2022-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84026485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-20DOI: 10.1177/0958305X221108494
Lathifah Puji Hastuti, A. Kusumaatmaja, A. Darmawan, I. Kartini
Incorporating TiO2 with CNTs and PAN nanofiber structures results in a photocatalytic membrane composite with an attractive response in the visible region. It offers an efficient process without post-treatment separation at the end of the photocatalytic treatment. The composite membranes were fabricated using electrospinning at 7 kV with 10 cm in the distance between needle tip and collector at a flow rate of 1 mL h−1. Polyacrylonitrile (PAN) was used as the polymer matrix. All the as-spun composites exhibited randomly oriented nanofibers. CNT increased the fiber diameters from 324 to 463 nm. The bandgap of TiO2 also shifted from 3.15 to 2.76 eV at the narrowest The color removal kinetics follow the Langmuir-Hinshelwood pseudo-first-order kinetics model with the highest rate constant of 0.0225 min−1 shown by PAN/TiO2/CNT 20%. More than 95% color removal of methylene blue after 100 min irradiation has been achieved using LED lamps of low energy visible light (43.5 W). Such a result is supposed to be the highest employing low energy lamps.
将TiO2与碳纳米管和PAN纳米纤维结构结合在一起，可以得到在可见光区域具有吸引响应的光催化膜复合材料。它提供了一个有效的过程，在光催化处理结束时没有后处理分离。复合膜的制备采用静电纺丝工艺，电流为7 kV，针尖与收集器之间距离为10 cm，流速为1 mL h−1。采用聚丙烯腈(PAN)作为聚合物基体。所有的纺丝复合材料都表现出随机取向的纳米纤维。碳纳米管将纤维直径从324纳米增加到463纳米。TiO2的带隙也从3.15 eV转变为2.76 eV，除色动力学符合Langmuir-Hinshelwood伪一阶动力学模型，PAN/TiO2/CNT的除色速率常数最高为0.0225 min−1，为20%。使用低能量可见光(43.5 W)的LED灯照射100分钟后，亚甲蓝脱色率达到95%以上。这样的结果应该是采用低能量灯的最高结果。
{"title":"Photocatalytic membrane of TiO2/CNT decorated PAN nanofibers with enhanced performance under LED visible-light irradiation","authors":"Lathifah Puji Hastuti, A. Kusumaatmaja, A. Darmawan, I. Kartini","doi":"10.1177/0958305X221108494","DOIUrl":"https://doi.org/10.1177/0958305X221108494","url":null,"abstract":"Incorporating TiO2 with CNTs and PAN nanofiber structures results in a photocatalytic membrane composite with an attractive response in the visible region. It offers an efficient process without post-treatment separation at the end of the photocatalytic treatment. The composite membranes were fabricated using electrospinning at 7 kV with 10 cm in the distance between needle tip and collector at a flow rate of 1 mL h−1. Polyacrylonitrile (PAN) was used as the polymer matrix. All the as-spun composites exhibited randomly oriented nanofibers. CNT increased the fiber diameters from 324 to 463 nm. The bandgap of TiO2 also shifted from 3.15 to 2.76 eV at the narrowest The color removal kinetics follow the Langmuir-Hinshelwood pseudo-first-order kinetics model with the highest rate constant of 0.0225 min−1 shown by PAN/TiO2/CNT 20%. More than 95% color removal of methylene blue after 100 min irradiation has been achieved using LED lamps of low energy visible light (43.5 W). Such a result is supposed to be the highest employing low energy lamps.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"31 1","pages":"2364 - 2385"},"PeriodicalIF":4.2,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85745553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-19DOI: 10.1177/0958305X221108495
R. Pereira, R. Salvador, Gabriel Fernandes Sales, Jonatas Santana Obal, C. M. Piekarski, A. D. de Francisco
Pig waste can be used to generate energy through biogas and has been gaining importance for being a renewable energy source. The resulting biogas can be used in many forms, such as to produce electricity and supply local networks using microgrids. This helps bring greater stability and energy security to local electricity supply networks. Under this light, this article aims to (i) report on socio-environmental impacts, (ii) present lessons learned (from a circular economy and territorial intelligence perspective), and (iii) point out future business opportunities of value recovery from waste in rural properties. To that end, a case study was carried out in a rural property in Paraná, Brazil. The authors conducted local visits and surveys, and consulted documents provided by the property owners about projects making use of biogas produced from pig waste and used to generate electricity. Different partnerships between the property and public and private bodies enable business opportunities arising from projects that range from the commercialization of carbon credits, decentralized energy generation, to sale of energy to the State's energy provider and establishing Microgrids. From those projects, direct and indirect environmental and social benefits are primarily related to the replacement of non-renewable energy with renewable energy from waste, and impacts avoided from the inadequate handling of pig waste. The results show that it is possible to explore the energy potential of rural properties, based on livestock waste, by developing partnerships with public and private actors, producing energy from biogas, from circular economy and territorial intelligence perspectives.
{"title":"Energy from livestock waste: Using circular economy and territorial intelligence to build sustainable businesses","authors":"R. Pereira, R. Salvador, Gabriel Fernandes Sales, Jonatas Santana Obal, C. M. Piekarski, A. D. de Francisco","doi":"10.1177/0958305X221108495","DOIUrl":"https://doi.org/10.1177/0958305X221108495","url":null,"abstract":"Pig waste can be used to generate energy through biogas and has been gaining importance for being a renewable energy source. The resulting biogas can be used in many forms, such as to produce electricity and supply local networks using microgrids. This helps bring greater stability and energy security to local electricity supply networks. Under this light, this article aims to (i) report on socio-environmental impacts, (ii) present lessons learned (from a circular economy and territorial intelligence perspective), and (iii) point out future business opportunities of value recovery from waste in rural properties. To that end, a case study was carried out in a rural property in Paraná, Brazil. The authors conducted local visits and surveys, and consulted documents provided by the property owners about projects making use of biogas produced from pig waste and used to generate electricity. Different partnerships between the property and public and private bodies enable business opportunities arising from projects that range from the commercialization of carbon credits, decentralized energy generation, to sale of energy to the State's energy provider and establishing Microgrids. From those projects, direct and indirect environmental and social benefits are primarily related to the replacement of non-renewable energy with renewable energy from waste, and impacts avoided from the inadequate handling of pig waste. The results show that it is possible to explore the energy potential of rural properties, based on livestock waste, by developing partnerships with public and private actors, producing energy from biogas, from circular economy and territorial intelligence perspectives.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"1 1","pages":"2072 - 2092"},"PeriodicalIF":4.2,"publicationDate":"2022-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83042411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-16DOI: 10.1177/0958305X221108496
S. Sapmaz, İ. Kılıçaslan
Industrial sludge must be disposed of by incineration or storage methods. It is possible to produce energy by incinerating the sludge after drying. However, some sludges cannot be incinerated due to their low calorific value and/or high pollutant load. In this study, a novel process in which sludges with high calorific value and other sludges are mixed, dried and processed to produce solid fuel without using any additives is described. A technical and economic model of the process was established and feasibility analysis was carried out for different capacities. According to the results of the study, with the increase in capacity, the cost for the unit capacity and the return for the unit capacity increase. Most of the plant's income comes from waste disposal. When the investment is made with equity, the payback period is shorter than 2 years for wet feeding capacities of 1 ton/h and above. The cost of the investment increases more than 2 times when 50% of the investment cost is supplied by a bank loan. In this case, the payback period is also increasing. In order for the profitability of the facility to be sustainable, the composition and amounts of sludge produced in the region should be analysed. In this study, it is assumed that the types and amounts of waste that will come to the facility are capable of filling the facility's capacity and providing the required calorific value standards.
{"title":"Conceptual design and feasibility study of industrial sludge-based biosolid fuel production facility","authors":"S. Sapmaz, İ. Kılıçaslan","doi":"10.1177/0958305X221108496","DOIUrl":"https://doi.org/10.1177/0958305X221108496","url":null,"abstract":"Industrial sludge must be disposed of by incineration or storage methods. It is possible to produce energy by incinerating the sludge after drying. However, some sludges cannot be incinerated due to their low calorific value and/or high pollutant load. In this study, a novel process in which sludges with high calorific value and other sludges are mixed, dried and processed to produce solid fuel without using any additives is described. A technical and economic model of the process was established and feasibility analysis was carried out for different capacities. According to the results of the study, with the increase in capacity, the cost for the unit capacity and the return for the unit capacity increase. Most of the plant's income comes from waste disposal. When the investment is made with equity, the payback period is shorter than 2 years for wet feeding capacities of 1 ton/h and above. The cost of the investment increases more than 2 times when 50% of the investment cost is supplied by a bank loan. In this case, the payback period is also increasing. In order for the profitability of the facility to be sustainable, the composition and amounts of sludge produced in the region should be analysed. In this study, it is assumed that the types and amounts of waste that will come to the facility are capable of filling the facility's capacity and providing the required calorific value standards.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"12 1","pages":"2093 - 2109"},"PeriodicalIF":4.2,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81866522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-14DOI: 10.1177/0958305X221105267
Rajni Saini, D. Saini, Rajeev Gupta, Piush Verma, RP Dwivedi, Ashwani Kumar, Diksha Chauhan, Sushil Kumar
Solar power plays a significant role in the contribution of energy worldwide. The performance of solar panels mainly depends upon geographical and environmental factors. Dust is an important well known ecological factor that significantly impacts the performance of solar panels in achieving the overall target of power production by renewable sources. Study about the performance of solar panels under the influence of dust particles becomes more effective when these are to be worked out in hot and dusty areas. The current goal of this review article is to provide the impact of dust particles on the performance of solar panels. To fulfil this goal, the researcher's contribution is updated in minor for 2015 to 2018 and signed for 2019 and 2020.The current authors of this review article also recommended the adoption of a modern cleaning technique for PV modules, which would save time because it could be operated away from the PV modules.
{"title":"Effects of dust on the performance of solar panels – a review update from 2015–2020","authors":"Rajni Saini, D. Saini, Rajeev Gupta, Piush Verma, RP Dwivedi, Ashwani Kumar, Diksha Chauhan, Sushil Kumar","doi":"10.1177/0958305X221105267","DOIUrl":"https://doi.org/10.1177/0958305X221105267","url":null,"abstract":"Solar power plays a significant role in the contribution of energy worldwide. The performance of solar panels mainly depends upon geographical and environmental factors. Dust is an important well known ecological factor that significantly impacts the performance of solar panels in achieving the overall target of power production by renewable sources. Study about the performance of solar panels under the influence of dust particles becomes more effective when these are to be worked out in hot and dusty areas. The current goal of this review article is to provide the impact of dust particles on the performance of solar panels. To fulfil this goal, the researcher's contribution is updated in minor for 2015 to 2018 and signed for 2019 and 2020.The current authors of this review article also recommended the adoption of a modern cleaning technique for PV modules, which would save time because it could be operated away from the PV modules.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"4 1","pages":"2110 - 2162"},"PeriodicalIF":4.2,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86832702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-14DOI: 10.1177/0958305X221107341
Jieming Huang, L. Guo
The decoupling of carbon emissions has also become the dependence of countries’ development. Finance plays an important role in decoupling economic development from carbon emissions. This paper explores the impact of financial development in different regions on the decoupling of carbon emissions from economic growth, using the Tapio decoupling elastic model and the method of fully modified least squares (FMOLS) to study the impact of financial development on carbon emissions in six regional panels from 1995 to 2020: and Foreign direct investment (FDI), urbanization, population, and infrastructure as control variables. The results turn out that financial development will promote the decoupling of carbon emissions from economic growth in the ECA region. For EAP, SSA, AC, SA, and MENA regions, financial development will promote the growth of carbon emissions, and due to the different economic development dynamics of different countries, the positive effects of financial development on carbon emissions are heterogeneous. The impact of FDI, urbanization, and infrastructure on carbon emissions varies from region to region. The population will promote the growth of carbon emissions, regardless of the region. In addition, the ECA region is the most countries that has achieved the strong decoupling and is the first to realize the transition from weak decoupling to strong decoupling. Therefore,the ECA, EAP and AC region should accelerate the construction of a green financial system to promote the decoupling of economic growth and carbon emissions. The SSA, SA and MENA region should speed up the transformation of economic development mode and move towards weak decoupling or even strong decoupling.
{"title":"Research on the impact of financial development in different regions on the decoupling of carbon emissions from economic growth","authors":"Jieming Huang, L. Guo","doi":"10.1177/0958305X221107341","DOIUrl":"https://doi.org/10.1177/0958305X221107341","url":null,"abstract":"The decoupling of carbon emissions has also become the dependence of countries’ development. Finance plays an important role in decoupling economic development from carbon emissions. This paper explores the impact of financial development in different regions on the decoupling of carbon emissions from economic growth, using the Tapio decoupling elastic model and the method of fully modified least squares (FMOLS) to study the impact of financial development on carbon emissions in six regional panels from 1995 to 2020: and Foreign direct investment (FDI), urbanization, population, and infrastructure as control variables. The results turn out that financial development will promote the decoupling of carbon emissions from economic growth in the ECA region. For EAP, SSA, AC, SA, and MENA regions, financial development will promote the growth of carbon emissions, and due to the different economic development dynamics of different countries, the positive effects of financial development on carbon emissions are heterogeneous. The impact of FDI, urbanization, and infrastructure on carbon emissions varies from region to region. The population will promote the growth of carbon emissions, regardless of the region. In addition, the ECA region is the most countries that has achieved the strong decoupling and is the first to realize the transition from weak decoupling to strong decoupling. Therefore,the ECA, EAP and AC region should accelerate the construction of a green financial system to promote the decoupling of economic growth and carbon emissions. The SSA, SA and MENA region should speed up the transformation of economic development mode and move towards weak decoupling or even strong decoupling.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"41 1","pages":"2007 - 2030"},"PeriodicalIF":4.2,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82819973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-12DOI: 10.1177/0958305X221107339
Yongpei Wang, Z. Guan, Jia Wen Liang, Qian Zhang
One of the secrets for China's economic growth miracle is continuous investment in infrastructure, and the role of power infrastructure is irreplaceable. However, previous studies mostly focused on generation-side indicators rather than grid-side indicators, ignoring the importance of the mega-grid established in China. As a result, this paper is committed to exploring the economic growth pulling effect of power grids with different voltage levels in the nonlinear framework. On the premise of determining the robustness of estimation parameters by instrumental variable method, the panel smooth transition regression (PSTR) model is used to capture panel heterogeneity. To be exact, the regional economic growth driven by extra-high voltage (EHV) and ultra-high voltage (UHV) power grids presents a regime transition accompanied by the growth of regional power generation and electricity consumption per capita. This means that the mega-grid is more conducive to the economic growth of energy bases and load centers. To further build and improve the state-leveled mega-grid into a nationwide basic platform for trans-regional renewable energy transmission and distribution is a key measure to enhance China's sustainable economic growth under the constraints of carbon peak and carbon neutrality targets.
{"title":"The propellant role of the mega-grid in regional economic growth: Evidence from China base on the panel smooth transition regression model","authors":"Yongpei Wang, Z. Guan, Jia Wen Liang, Qian Zhang","doi":"10.1177/0958305X221107339","DOIUrl":"https://doi.org/10.1177/0958305X221107339","url":null,"abstract":"One of the secrets for China's economic growth miracle is continuous investment in infrastructure, and the role of power infrastructure is irreplaceable. However, previous studies mostly focused on generation-side indicators rather than grid-side indicators, ignoring the importance of the mega-grid established in China. As a result, this paper is committed to exploring the economic growth pulling effect of power grids with different voltage levels in the nonlinear framework. On the premise of determining the robustness of estimation parameters by instrumental variable method, the panel smooth transition regression (PSTR) model is used to capture panel heterogeneity. To be exact, the regional economic growth driven by extra-high voltage (EHV) and ultra-high voltage (UHV) power grids presents a regime transition accompanied by the growth of regional power generation and electricity consumption per capita. This means that the mega-grid is more conducive to the economic growth of energy bases and load centers. To further build and improve the state-leveled mega-grid into a nationwide basic platform for trans-regional renewable energy transmission and distribution is a key measure to enhance China's sustainable economic growth under the constraints of carbon peak and carbon neutrality targets.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"67 1","pages":"1982 - 2006"},"PeriodicalIF":4.2,"publicationDate":"2022-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79029075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-08DOI: 10.1177/0958305X221106618
Saeed Iqbal, Shahid Nawaz Khan, M. Sajid, Jawad Khan, Y. Ayaz, A. Waqas
The performance of solar photovoltaic systems tends to decline if the operating conditions change from the nominal operating cell temperature due to environmental factors. The major factors include temperature and humidity variations, which cause thermal losses and open-circuit voltage drops in photovoltaic panels. This study investigates the correlations between solar photovoltaic performance and environmental factors by quantifying the real-time variables including temperature, humidity, dewpoint temperature, and heat index. Furthermore, the study investigates the difference between real-time measured and theoretically calculated temperature values with the help of weather station data to investigate the impact of temperature difference on the overall percentage power loss of the systems. The panels were installed at three distinct sites (rooftop, parking shed, and ground-mounted) connected to the same grid-tied system. Results reveal that the photovoltaic panel temperature has an inverse relation with the dew temperature and the humidity of the surrounding environment. The heat index value was found slightly less at the peak solar hours during the 24 h cycle of the measurement. The difference and relationship between temperature and humidity are measured and losses are highlighted based on the instantaneous occurrence of variables. Based on a difference between measured and calculated temperature values, results reveal that PV systems faced 27.95%, 5.41%, and 0.82% power losses for ground, roof, and parking installed PV systems, respectively.
{"title":"Impact and performance efficiency analysis of grid-tied solar photovoltaic system based on installation site environmental factors","authors":"Saeed Iqbal, Shahid Nawaz Khan, M. Sajid, Jawad Khan, Y. Ayaz, A. Waqas","doi":"10.1177/0958305X221106618","DOIUrl":"https://doi.org/10.1177/0958305X221106618","url":null,"abstract":"The performance of solar photovoltaic systems tends to decline if the operating conditions change from the nominal operating cell temperature due to environmental factors. The major factors include temperature and humidity variations, which cause thermal losses and open-circuit voltage drops in photovoltaic panels. This study investigates the correlations between solar photovoltaic performance and environmental factors by quantifying the real-time variables including temperature, humidity, dewpoint temperature, and heat index. Furthermore, the study investigates the difference between real-time measured and theoretically calculated temperature values with the help of weather station data to investigate the impact of temperature difference on the overall percentage power loss of the systems. The panels were installed at three distinct sites (rooftop, parking shed, and ground-mounted) connected to the same grid-tied system. Results reveal that the photovoltaic panel temperature has an inverse relation with the dew temperature and the humidity of the surrounding environment. The heat index value was found slightly less at the peak solar hours during the 24 h cycle of the measurement. The difference and relationship between temperature and humidity are measured and losses are highlighted based on the instantaneous occurrence of variables. Based on a difference between measured and calculated temperature values, results reveal that PV systems faced 27.95%, 5.41%, and 0.82% power losses for ground, roof, and parking installed PV systems, respectively.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"119 1","pages":"2343 - 2363"},"PeriodicalIF":4.2,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74653784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-06DOI: 10.1177/0958305X221105863
Chien‐Chiang Lee, Farzan Yahya, Asif Razzaq
Green growth is recognized as an adequate mechanism to decelerate environmental turmoil. However, empirical evidence on what determines sustainable economic growth is still underexplored. Apprehending the importance of financial liberalization, human capital, and militarization in the South Asian region, we investigate their short- and long-run effects on green growth using data from 1990 to 2017. To address the cross-sectional dependency (CD) and heterogeneity issue, second-generation cointegration estimation techniques are employed. The findings show a stable and long-run relationship between financial liberalization, human capital, military expenditures, and green growth. The results of CS-ARDL also show the positive long-run effect of financial liberalization and human capital while the negative effect of militarization on green growth. Nonetheless, the interaction effects show the darker side of human capital and the brighter side of militarization in the presence of more financial openness. Results were further validated using the Augmented Mean Group (AMG) and Dumitrescu-Hurlin Granger causality test, highlighting the need to optimally utilize military expenditures, financial liberalization, and human capital for the sustainable growth of the region.
{"title":"Greening South Asia with Financial Liberalization, Human Capital, and Militarization: Evidence from the CS-ARDL Approach","authors":"Chien‐Chiang Lee, Farzan Yahya, Asif Razzaq","doi":"10.1177/0958305X221105863","DOIUrl":"https://doi.org/10.1177/0958305X221105863","url":null,"abstract":"Green growth is recognized as an adequate mechanism to decelerate environmental turmoil. However, empirical evidence on what determines sustainable economic growth is still underexplored. Apprehending the importance of financial liberalization, human capital, and militarization in the South Asian region, we investigate their short- and long-run effects on green growth using data from 1990 to 2017. To address the cross-sectional dependency (CD) and heterogeneity issue, second-generation cointegration estimation techniques are employed. The findings show a stable and long-run relationship between financial liberalization, human capital, military expenditures, and green growth. The results of CS-ARDL also show the positive long-run effect of financial liberalization and human capital while the negative effect of militarization on green growth. Nonetheless, the interaction effects show the darker side of human capital and the brighter side of militarization in the presence of more financial openness. Results were further validated using the Augmented Mean Group (AMG) and Dumitrescu-Hurlin Granger causality test, highlighting the need to optimally utilize military expenditures, financial liberalization, and human capital for the sustainable growth of the region.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"161 1","pages":"1957 - 1981"},"PeriodicalIF":4.2,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73735753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01DOI: 10.1177/0958305X221102047
A. Alola, F. Bekun, T. Adebayo, G. Uzuner
Cement production reportedly accounts for the largest global materials flow, thus achieving global environmental sustainability through responsible consumption and production is central to the sustainable development scenario. But even that China, the world's largest carbon emitter and largest cement producer, is under-studied. Thus, the current study employed the nonlinear ARDL and frequency domain causality methods to unearth the contributory or mitigating role of energy sources and economic progress in China's cement carbon emission (CCE) over the period 1971-2020. Overall, the study establishes long-run equilibrium relationship between the study variables of interest Subsequently, the baseline regression suggests that a positive shift in economic growth, energy from fossil fuel and primary energy consumption all increase emissions while a negative shift does not have a significant effect on emissions. Moreover, a positive (negative) shift in renewable energy decreases (increases) emissions in both the short and long-run. The result of the Frequency Domain causality analysis resonates with the results of NARDL regression. As a policy, this study infers energy development and economic-related measures are strategically important in achieving sustainable cement production and consumption.
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