Balram Sahu; Dhananjay Kumar Srivastava;Balram Sahu
Harvested from ORCID Public Data FileBalram Sahu in OpenAIREAbstract Dimethyl ether appears to be a better choice among various diesel alternatives due to its high cetane number and sootless combustion. However, the physical and chemical properties of dimethyl ether are very different from those of diesel. The physical properties influence spray formation and atomization characteristics, while chemical properties determine combustion and emission formation characteristics. Thus, fuel's physical and chemical properties significantly determine engine performance and emissions. In the present work, spray combustion and emission formation characteristics of n-heptane, dimethyl ether, and their blends (10, 25, and 50% dimethyl ether in n-heptane) were numerically studied in a constant volume chamber. Results show that the n-heptane spray combustion has the highest heat release rate with an intense premix combustion phase, whereas dimethyl ether spray combustion has the lowest heat release rate and shortest premix combustion phase. The magnitude of the premixed phase and heat release rate decreases with the increase in dimethyl ether mass fraction in the blends. Soot, carbon monoxide (CO), unburned hydrocarbon (UHC), and nitric oxide (NO) emissions decreased with the increase in the dimethyl ether mass fraction in the blends and were lowest for the dimethyl ether.
2 citations 2 popularity Top 10% influence Average impulse Average 
Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1115/1.4056449&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Balram Sahu; Dhananjay Kumar Srivastava;
Balram Sahu
Harvested from ORCID Public Data FileBalram Sahu in OpenAIREAbstract Dimethyl ether appears to be a better choice among various diesel alternatives due to its high cetane number and sootless combustion. However, the physical and chemical properties of dimethyl ether are very different from those of diesel. The physical properties influence spray formation and atomization characteristics, while chemical properties determine combustion and emission formation characteristics. Thus, fuel's physical and chemical properties significantly determine engine performance and emissions. In the present work, spray combustion and emission formation characteristics of n-heptane, dimethyl ether, and their blends (10, 25, and 50% dimethyl ether in n-heptane) were numerically studied in a constant volume chamber. Results show that the n-heptane spray combustion has the highest heat release rate with an intense premix combustion phase, whereas dimethyl ether spray combustion has the lowest heat release rate and shortest premix combustion phase. The magnitude of the premixed phase and heat release rate decreases with the increase in dimethyl ether mass fraction in the blends. Soot, carbon monoxide (CO), unburned hydrocarbon (UHC), and nitric oxide (NO) emissions decreased with the increase in the dimethyl ether mass fraction in the blends and were lowest for the dimethyl ether.
2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1115/1.4056449&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 
Civera M.; Civera M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesCivera M. in OpenAIRE Surace C.; Surace C.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSurace C. in OpenAIREA complete surveillance strategy for wind turbines requires both the condition monitoring (CM) of their mechanical components and the structural health monitoring (SHM) of their load-bearing structural elements (foundations, tower, and blades). Therefore, it spans both the civil and mechanical engineering fields. Several traditional and advanced non-destructive techniques (NDTs) have been proposed for both areas of application throughout the last years. These include visual inspection (VI), acoustic emissions (AEs), ultrasonic testing (UT), infrared thermography (IRT), radiographic testing (RT), electromagnetic testing (ET), oil monitoring, and many other methods. These NDTs can be performed by human personnel, robots, or unmanned aerial vehicles (UAVs); they can also be applied both for isolated wind turbines or systematically for whole onshore or offshore wind farms. These non-destructive approaches have been extensively reviewed here; more than 300 scientific articles, technical reports, and other documents are included in this review, encompassing all the main aspects of these survey strategies. Particular attention was dedicated to the latest developments in the last two decades (2000–2021). Highly influential research works, which received major attention from the scientific community, are highlighted and commented upon. Furthermore, for each strategy, a selection of relevant applications is reported by way of example, including newer and less developed strategies as well.
Access RoutesGreen gold 98 citations 98 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/s22041627&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Civera M.;
Civera M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesCivera M. in OpenAIRE Surace C.; Surace C.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSurace C. in OpenAIREA complete surveillance strategy for wind turbines requires both the condition monitoring (CM) of their mechanical components and the structural health monitoring (SHM) of their load-bearing structural elements (foundations, tower, and blades). Therefore, it spans both the civil and mechanical engineering fields. Several traditional and advanced non-destructive techniques (NDTs) have been proposed for both areas of application throughout the last years. These include visual inspection (VI), acoustic emissions (AEs), ultrasonic testing (UT), infrared thermography (IRT), radiographic testing (RT), electromagnetic testing (ET), oil monitoring, and many other methods. These NDTs can be performed by human personnel, robots, or unmanned aerial vehicles (UAVs); they can also be applied both for isolated wind turbines or systematically for whole onshore or offshore wind farms. These non-destructive approaches have been extensively reviewed here; more than 300 scientific articles, technical reports, and other documents are included in this review, encompassing all the main aspects of these survey strategies. Particular attention was dedicated to the latest developments in the last two decades (2000–2021). Highly influential research works, which received major attention from the scientific community, are highlighted and commented upon. Furthermore, for each strategy, a selection of relevant applications is reported by way of example, including newer and less developed strategies as well.
Access RoutesGreen gold 98 citations 98 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/s22041627&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Serikbayeva Akmaral; Boranbayeva Assiya; Abdibattayeva Maral; Nurbayeva Farida; Cherkeshova Salima; Myrzabekova Asem;
Cherkeshova Salima
Harvested from ORCID Public Data FileCherkeshova Salima in OpenAIREAbstract In this paper, the prevention of negative technogenic impact on the environment of oil sludge by using it as a secondary resource is considered. Oil sludge from various objects of oil fields in Kazakhstan (Mangystau region) has been studied. The possibilities of using oil (after its separation from oil sludge by bioremidiation) as a partial substitute for bitumen base in the production of modified bitumen are considered. The main physical and mechanical characteristics of modified bitumen are determined. The results confirm that the modified bitumen prepared with oil sludge and oil separated by bioremiation method meets the requirements for polymer-bitumen binder to Kazakhstan standards and is suitable for the production of modified bitumen in its physico-chemical characteristics.
Access Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2478/rtuect-2022-0101&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Serikbayeva Akmaral; Boranbayeva Assiya; Abdibattayeva Maral; Nurbayeva Farida; Cherkeshova Salima; Myrzabekova Asem;
Cherkeshova Salima
Harvested from ORCID Public Data FileCherkeshova Salima in OpenAIREAbstract In this paper, the prevention of negative technogenic impact on the environment of oil sludge by using it as a secondary resource is considered. Oil sludge from various objects of oil fields in Kazakhstan (Mangystau region) has been studied. The possibilities of using oil (after its separation from oil sludge by bioremidiation) as a partial substitute for bitumen base in the production of modified bitumen are considered. The main physical and mechanical characteristics of modified bitumen are determined. The results confirm that the modified bitumen prepared with oil sludge and oil separated by bioremiation method meets the requirements for polymer-bitumen binder to Kazakhstan standards and is suitable for the production of modified bitumen in its physico-chemical characteristics.
Access Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2478/rtuect-2022-0101&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Amit U. Raysoni; Esmeralda Mendez; August Luna; Joe Collins;
Amit U. Raysoni
Harvested from ORCID Public Data FileAmit U. Raysoni in OpenAIREAggregate and limestone mining in San Antonio’s Bexar and Comal counties in Texas, USA, has caused considerable health concerns as of late. Aggregate mining actions can result in localized air quality issues in any neighborhood. Furthermore, heavy truck traffic, hauling, and transportation of the mined material contribute to pollution. In this research, PM species were sampled at four locations north of the San Antonio city limits. The data were collected using a TSI Air Quality Sampler that sampled PM1, PM2.5, PM4, PM10, wind speed, wind direction, temperature, and relative humidity. Continuous data with 1 min averages were recorded during the study period from August to September 2019. The instrument was stationed at every location for a period of 7 days each. The four locations were a ranch, an open field, a residential compound, and an elementary school. PM1 and PM2.5 concentration levels were lower compared to PM10 concentrations at all four studied sites. Our results suggest that PM concentrations are primarily impacted by mining activities. PM species were highest at the residential compound due to its proximity to an active mining area, resulting in deleterious health effects for neighbors living in the vicinity of the sampled site.
Access Routesgold 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14074288&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Amit U. Raysoni; Esmeralda Mendez; August Luna; Joe Collins;
Amit U. Raysoni
Harvested from ORCID Public Data FileAmit U. Raysoni in OpenAIREAggregate and limestone mining in San Antonio’s Bexar and Comal counties in Texas, USA, has caused considerable health concerns as of late. Aggregate mining actions can result in localized air quality issues in any neighborhood. Furthermore, heavy truck traffic, hauling, and transportation of the mined material contribute to pollution. In this research, PM species were sampled at four locations north of the San Antonio city limits. The data were collected using a TSI Air Quality Sampler that sampled PM1, PM2.5, PM4, PM10, wind speed, wind direction, temperature, and relative humidity. Continuous data with 1 min averages were recorded during the study period from August to September 2019. The instrument was stationed at every location for a period of 7 days each. The four locations were a ranch, an open field, a residential compound, and an elementary school. PM1 and PM2.5 concentration levels were lower compared to PM10 concentrations at all four studied sites. Our results suggest that PM concentrations are primarily impacted by mining activities. PM species were highest at the residential compound due to its proximity to an active mining area, resulting in deleterious health effects for neighbors living in the vicinity of the sampled site.
Access Routesgold 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14074288&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - NSF| Center for Energy and Environmental Sustainability Raghava R. Kommalapati;
Raghava R. Kommalapati
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRaghava R. Kommalapati in OpenAIRE Do-Eun Choe; Do-Eun Choe
Harvested from ORCID Public Data FileDo-Eun Choe in OpenAIRE Hongbo Du; Venkata S. V. Botlaguduru; +2 Authors Raghava R. Kommalapati; Raghava R. Kommalapati
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRaghava R. Kommalapati in OpenAIRE Do-Eun Choe; Do-Eun Choe
Harvested from ORCID Public Data FileDo-Eun Choe in OpenAIRE Hongbo Du; Venkata S. V. Botlaguduru; Venkata S. V. Botlaguduru; Jesuina Chipindula;The Houston-Dallas (I-45) corridor is the busiest route among 18 traffic corridors in Texas, USA. The expected population growth and the surge in passenger mobility may result in a significant impact on the regional environment. This study uses a life cycle framework to predict and evaluate the net changes of environmental impact associated with the potential development of a high-speed rail (HSR) System along the I-45 corridor through its life cycle. The environmental impact is estimated in terms of CO2 and greenhouse gas (GHG) emissions per vehicle/passenger-kilometers traveled (V/PKT) using life cycle assessment. The analyses are performed referring to the Ecoinvent 3.4 inventory database through the phases: material extraction and processing, infrastructure construction, vehicle manufacturing, system operation, and end of life. The environmental benefit is evaluated by comparing the potential development of the HSR system with those of the existing transportation systems. The vehicle component, especially operation and maintenance of vehicles, is the primary contributor to the total global warming potential with about 93% of the life cycle GHG emissions. For the infrastructure component, 56.76% of GHG emissions result from the material extraction and processing phase (23.75 kgCO2eq/VKT). Various life cycle emissions of HSR except PM are significantly lower than for passenger cars.
Access Routeshybrid 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s12469-021-00264-2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - NSF| Center for Energy and Environmental Sustainability Raghava R. Kommalapati;
Raghava R. Kommalapati
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRaghava R. Kommalapati in OpenAIRE Do-Eun Choe; Do-Eun Choe
Harvested from ORCID Public Data FileDo-Eun Choe in OpenAIRE Hongbo Du; Venkata S. V. Botlaguduru; +2 Authors Raghava R. Kommalapati; Raghava R. Kommalapati
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRaghava R. Kommalapati in OpenAIRE Do-Eun Choe; Do-Eun Choe
Harvested from ORCID Public Data FileDo-Eun Choe in OpenAIRE Hongbo Du; Venkata S. V. Botlaguduru; Venkata S. V. Botlaguduru; Jesuina Chipindula;The Houston-Dallas (I-45) corridor is the busiest route among 18 traffic corridors in Texas, USA. The expected population growth and the surge in passenger mobility may result in a significant impact on the regional environment. This study uses a life cycle framework to predict and evaluate the net changes of environmental impact associated with the potential development of a high-speed rail (HSR) System along the I-45 corridor through its life cycle. The environmental impact is estimated in terms of CO2 and greenhouse gas (GHG) emissions per vehicle/passenger-kilometers traveled (V/PKT) using life cycle assessment. The analyses are performed referring to the Ecoinvent 3.4 inventory database through the phases: material extraction and processing, infrastructure construction, vehicle manufacturing, system operation, and end of life. The environmental benefit is evaluated by comparing the potential development of the HSR system with those of the existing transportation systems. The vehicle component, especially operation and maintenance of vehicles, is the primary contributor to the total global warming potential with about 93% of the life cycle GHG emissions. For the infrastructure component, 56.76% of GHG emissions result from the material extraction and processing phase (23.75 kgCO2eq/VKT). Various life cycle emissions of HSR except PM are significantly lower than for passenger cars.
Access Routeshybrid 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s12469-021-00264-2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Ricciardi P.;
Ricciardi P.
Harvested from ORCID Public Data FileRicciardi P. in OpenAIRE Belloni E.; Belloni E.
Harvested from ORCID Public Data FileBelloni E. in OpenAIRE Merli F.; Buratti C.; Buratti C.
Harvested from ORCID Public Data FileBuratti C. in OpenAIRERecycled waste materials obtained from industrial and agricultural processes are becoming promising thermal and acoustic insulating solutions in building applications; their use can play an important role in the environmental impact reduction. The aim of the present paper is the evaluation of the thermal performance of recycled waste panels consisting of cork scraps, rice husk, coffee chaff, and end-life granulated tires, glued in different weight ratios and pressed. Six panels obtained from the mixing of these waste materials were fabricated and analyzed. In particular, the scope is the selection of the best compromise solutions from the thermal and environmental points of view. To this aim, thermal resistances were measured in laboratory and a Life Cycle Assessment (LCA) analysis was carried out for each panel; a cross-comparative examination was performed in order to optimize their properties and find the best panels solutions to be assembled in the future. Life Cycle Analysis was carried out in terms of primary Embodied Energy and Greenhouse Gas Emissions, considering a ‘‘cradle-to-gate” approach. The obtained thermal conductivities varied in the 0.055 to 0.135 W/mK range, in the same order of magnitude of many traditional systems. The best thermal results were obtained for the panels made of granulated cork, rice husk, and coffee chaff in this order. The rubber granulate showed higher values of the thermal conductivity (about 0.15 W/mK); a very interesting combined solution was the panel composed of cork (60%), rice husk (20%), and coffee chaff (20%), with a thermal conductivity of 0.08 W/mK and a Global Warming Potential of only 2.6 kg CO2eq/m2. Considering the Embodied Energy (CED), the best solution is a panel composed of 56% of cork and 44% of coffee chaff (minimum CED and thermal conductivity).
Access RoutesGreen gold 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app11020494&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Ricciardi P.;
Ricciardi P.
Harvested from ORCID Public Data FileRicciardi P. in OpenAIRE Belloni E.; Belloni E.
Harvested from ORCID Public Data FileBelloni E. in OpenAIRE Merli F.; Buratti C.; Buratti C.
Harvested from ORCID Public Data FileBuratti C. in OpenAIRERecycled waste materials obtained from industrial and agricultural processes are becoming promising thermal and acoustic insulating solutions in building applications; their use can play an important role in the environmental impact reduction. The aim of the present paper is the evaluation of the thermal performance of recycled waste panels consisting of cork scraps, rice husk, coffee chaff, and end-life granulated tires, glued in different weight ratios and pressed. Six panels obtained from the mixing of these waste materials were fabricated and analyzed. In particular, the scope is the selection of the best compromise solutions from the thermal and environmental points of view. To this aim, thermal resistances were measured in laboratory and a Life Cycle Assessment (LCA) analysis was carried out for each panel; a cross-comparative examination was performed in order to optimize their properties and find the best panels solutions to be assembled in the future. Life Cycle Analysis was carried out in terms of primary Embodied Energy and Greenhouse Gas Emissions, considering a ‘‘cradle-to-gate” approach. The obtained thermal conductivities varied in the 0.055 to 0.135 W/mK range, in the same order of magnitude of many traditional systems. The best thermal results were obtained for the panels made of granulated cork, rice husk, and coffee chaff in this order. The rubber granulate showed higher values of the thermal conductivity (about 0.15 W/mK); a very interesting combined solution was the panel composed of cork (60%), rice husk (20%), and coffee chaff (20%), with a thermal conductivity of 0.08 W/mK and a Global Warming Potential of only 2.6 kg CO2eq/m2. Considering the Embodied Energy (CED), the best solution is a panel composed of 56% of cork and 44% of coffee chaff (minimum CED and thermal conductivity).
Access RoutesGreen gold 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/app11020494&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Rebecca J. Barthelmie;
Rebecca J. Barthelmie
Harvested from ORCID Public Data FileRebecca J. Barthelmie in OpenAIRE Sara C. Pryor; Sara C. Pryor
Harvested from ORCID Public Data FileSara C. Pryor in OpenAIREGlobal wind resources greatly exceed current electricity demand and the levelized cost of energy from wind turbines has shown precipitous declines. Accordingly, the installed capacity of wind turbines grew at an annualized rate of about 14% during the last two decades and wind turbines now provide ~6–7% of the global electricity supply. This renewable electricity generation source is thus already playing a role in reducing greenhouse gas emissions from the energy sector. Here we document trends within the industry, examine projections of future installed capacity increases and compute the associated climate change mitigation potential at the global and regional levels. Key countries (the USA, UK and China) and regions (e.g., EU27) have developed ambitious plans to expand wind energy penetration as core aspects of their net-zero emissions strategies. The projected climate change mitigation from wind energy by 2100 ranges from 0.3–0.8 °C depending on the precise socio-economic pathway and wind energy expansion scenario followed. The rapid expansion of annual increments to wind energy installed capacity by approximately two times current rates can greatly delay the passing of the 2 °C warming threshold relative to pre-industrial levels. To achieve the required expansion of this cost-effective, low-carbon energy source, there is a need for electrification of the energy system and for expansion of manufacturing and installation capacity.
Access Routesgold 58 citations 58 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/cli9090136&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Rebecca J. Barthelmie;
Rebecca J. Barthelmie
Harvested from ORCID Public Data FileRebecca J. Barthelmie in OpenAIRE Sara C. Pryor; Sara C. Pryor
Harvested from ORCID Public Data FileSara C. Pryor in OpenAIREGlobal wind resources greatly exceed current electricity demand and the levelized cost of energy from wind turbines has shown precipitous declines. Accordingly, the installed capacity of wind turbines grew at an annualized rate of about 14% during the last two decades and wind turbines now provide ~6–7% of the global electricity supply. This renewable electricity generation source is thus already playing a role in reducing greenhouse gas emissions from the energy sector. Here we document trends within the industry, examine projections of future installed capacity increases and compute the associated climate change mitigation potential at the global and regional levels. Key countries (the USA, UK and China) and regions (e.g., EU27) have developed ambitious plans to expand wind energy penetration as core aspects of their net-zero emissions strategies. The projected climate change mitigation from wind energy by 2100 ranges from 0.3–0.8 °C depending on the precise socio-economic pathway and wind energy expansion scenario followed. The rapid expansion of annual increments to wind energy installed capacity by approximately two times current rates can greatly delay the passing of the 2 °C warming threshold relative to pre-industrial levels. To achieve the required expansion of this cost-effective, low-carbon energy source, there is a need for electrification of the energy system and for expansion of manufacturing and installation capacity.
Access Routesgold 58 citations 58 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/cli9090136&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| IceCommunities Silvio Marta;
Silvio Marta
Harvested from ORCID Public Data FileSilvio Marta in OpenAIRE Roberto Sergio Azzoni; Roberto Sergio Azzoni
Harvested from ORCID Public Data FileRoberto Sergio Azzoni in OpenAIRE Davide Fugazza; Davide Fugazza
Harvested from ORCID Public Data FileDavide Fugazza in OpenAIRE Levan Tielidze; +41 AuthorsLevan Tielidze
Harvested from ORCID Public Data FileLevan Tielidze in OpenAIRE Silvio Marta; Silvio Marta
Harvested from ORCID Public Data FileSilvio Marta in OpenAIRE Roberto Sergio Azzoni; Roberto Sergio Azzoni
Harvested from ORCID Public Data FileRoberto Sergio Azzoni in OpenAIRE Davide Fugazza; Davide Fugazza
Harvested from ORCID Public Data FileDavide Fugazza in OpenAIRE Levan Tielidze; Levan Tielidze
Harvested from ORCID Public Data FileLevan Tielidze in OpenAIRE Pritam Chand; Pritam Chand
Harvested from ORCID Public Data FilePritam Chand in OpenAIRE Katrin Sieron; Katrin Sieron
Harvested from ORCID Public Data FileKatrin Sieron in OpenAIRE Peter Almond; Roberto Ambrosini;Peter Almond
Harvested from ORCID Public Data FilePeter Almond in OpenAIRE Fabien Anthelme; Pablo Alviz Gazitúa;Fabien Anthelme
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesFabien Anthelme in OpenAIRE Rakesh Bhambri; Rakesh Bhambri
Harvested from ORCID Public Data FileRakesh Bhambri in OpenAIRE Aurélie Bonin; Marco Caccianiga;Aurélie Bonin
Harvested from ORCID Public Data FileAurélie Bonin in OpenAIRE Sophie Cauvy-Fraunié; Jorge Luis Ceballos Lievano;Sophie Cauvy-Fraunié
Harvested from ORCID Public Data FileSophie Cauvy-Fraunié in OpenAIRE John Clague; Justiniano Alejo Cochachín Rapre;John Clague
Harvested from ORCID Public Data FileJohn Clague in OpenAIRE Olivier Dangles; Olivier Dangles
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesOlivier Dangles in OpenAIRE Philip Deline; Andre Eger;Philip Deline
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPhilip Deline in OpenAIRE Rolando Cruz Encarnación; Sergey Erokhin;Rolando Cruz Encarnación
Harvested from ORCID Public Data FileRolando Cruz Encarnación in OpenAIRE Andrea Franzetti; Andrea Franzetti
Harvested from ORCID Public Data FileAndrea Franzetti in OpenAIRE Ludovic Gielly; Ludovic Gielly
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLudovic Gielly in OpenAIRE Fabrizio Gili; Fabrizio Gili
Harvested from ORCID Public Data FileFabrizio Gili in OpenAIRE Mauro Gobbi; Mauro Gobbi
Harvested from ORCID Public Data FileMauro Gobbi in OpenAIRE Alessia Guerrieri; Sigmund Hågvar;Alessia Guerrieri
Harvested from ORCID Public Data FileAlessia Guerrieri in OpenAIRE Norine Khedim; Norine Khedim
Harvested from ORCID Public Data FileNorine Khedim in OpenAIRE Rahab Kinyanjui; Rahab Kinyanjui
Harvested from ORCID Public Data FileRahab Kinyanjui in OpenAIRE Erwan Messager; Marco Aurelio Morales-Martínez;Erwan Messager
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesErwan Messager in OpenAIRE Gwendolyn Peyre; Francesca Pittino;Gwendolyn Peyre
Harvested from ORCID Public Data FileGwendolyn Peyre in OpenAIRE Jerome Poulenard; Jerome Poulenard
Harvested from ORCID Public Data FileJerome Poulenard in OpenAIRE Roberto Seppi; Milap Chand Sharma; Nurai Urseitova; Blake Weissling;Roberto Seppi
Harvested from ORCID Public Data FileRoberto Seppi in OpenAIRE Yan Yang; Vitalii Zaginaev; Anaïs Zimmer; Anaïs Zimmer
Harvested from ORCID Public Data FileAnaïs Zimmer in OpenAIRE Guglielmina Adele Diolaiuti; Guglielmina Adele Diolaiuti
Harvested from ORCID Public Data FileGuglielmina Adele Diolaiuti in OpenAIRE Antoine Rabatel; Antoine Rabatel
Harvested from ORCID Public Data FileAntoine Rabatel in OpenAIRE Gentile Francesco Ficetola; Gentile Francesco Ficetola
Harvested from ORCID Public Data FileGentile Francesco Ficetola in OpenAIREMost of the world’s mountain glaciers have been retreating for more than a century in response to climate change. Glacier retreat is evident on all continents, and the rate of retreat has accelerated during recent decades. Accurate, spatially explicit information on the position of glacier margins over time is useful for analyzing patterns of glacier retreat and measuring reductions in glacier surface area. This information is also essential for evaluating how mountain ecosystems are evolving due to climate warming and the attendant glacier retreat. Here, we present a non-comprehensive spatially explicit dataset showing multiple positions of glacier fronts since the Little Ice Age (LIA) maxima, including many data from the pre-satellite era. The dataset is based on multiple historical archival records including topographical maps; repeated photographs, paintings, and aerial or satellite images with a supplement of geochronology; and own field data. We provide ESRI shapefiles showing 728 past positions of 94 glacier fronts from all continents, except Antarctica, covering the period between the Little Ice Age maxima and the present. On average, the time series span the past 190 years. From 2 to 46 past positions per glacier are depicted (on average: 7.8).
Access RoutesGreen gold 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/data6100107&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| IceCommunities Silvio Marta;
Silvio Marta
Harvested from ORCID Public Data FileSilvio Marta in OpenAIRE Roberto Sergio Azzoni; Roberto Sergio Azzoni
Harvested from ORCID Public Data FileRoberto Sergio Azzoni in OpenAIRE Davide Fugazza; Davide Fugazza
Harvested from ORCID Public Data FileDavide Fugazza in OpenAIRE Levan Tielidze; +41 AuthorsLevan Tielidze
Harvested from ORCID Public Data FileLevan Tielidze in OpenAIRE Silvio Marta; Silvio Marta
Harvested from ORCID Public Data FileSilvio Marta in OpenAIRE Roberto Sergio Azzoni; Roberto Sergio Azzoni
Harvested from ORCID Public Data FileRoberto Sergio Azzoni in OpenAIRE Davide Fugazza; Davide Fugazza
Harvested from ORCID Public Data FileDavide Fugazza in OpenAIRE Levan Tielidze; Levan Tielidze
Harvested from ORCID Public Data FileLevan Tielidze in OpenAIRE Pritam Chand; Pritam Chand
Harvested from ORCID Public Data FilePritam Chand in OpenAIRE Katrin Sieron; Katrin Sieron
Harvested from ORCID Public Data FileKatrin Sieron in OpenAIRE Peter Almond; Roberto Ambrosini;Peter Almond
Harvested from ORCID Public Data FilePeter Almond in OpenAIRE Fabien Anthelme; Pablo Alviz Gazitúa;Fabien Anthelme
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesFabien Anthelme in OpenAIRE Rakesh Bhambri; Rakesh Bhambri
Harvested from ORCID Public Data FileRakesh Bhambri in OpenAIRE Aurélie Bonin; Marco Caccianiga;Aurélie Bonin
Harvested from ORCID Public Data FileAurélie Bonin in OpenAIRE Sophie Cauvy-Fraunié; Jorge Luis Ceballos Lievano;Sophie Cauvy-Fraunié
Harvested from ORCID Public Data FileSophie Cauvy-Fraunié in OpenAIRE John Clague; Justiniano Alejo Cochachín Rapre;John Clague
Harvested from ORCID Public Data FileJohn Clague in OpenAIRE Olivier Dangles; Olivier Dangles
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesOlivier Dangles in OpenAIRE Philip Deline; Andre Eger;Philip Deline
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPhilip Deline in OpenAIRE Rolando Cruz Encarnación; Sergey Erokhin;Rolando Cruz Encarnación
Harvested from ORCID Public Data FileRolando Cruz Encarnación in OpenAIRE Andrea Franzetti; Andrea Franzetti
Harvested from ORCID Public Data FileAndrea Franzetti in OpenAIRE Ludovic Gielly; Ludovic Gielly
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLudovic Gielly in OpenAIRE Fabrizio Gili; Fabrizio Gili
Harvested from ORCID Public Data FileFabrizio Gili in OpenAIRE Mauro Gobbi; Mauro Gobbi
Harvested from ORCID Public Data FileMauro Gobbi in OpenAIRE Alessia Guerrieri; Sigmund Hågvar;Alessia Guerrieri
Harvested from ORCID Public Data FileAlessia Guerrieri in OpenAIRE Norine Khedim; Norine Khedim
Harvested from ORCID Public Data FileNorine Khedim in OpenAIRE Rahab Kinyanjui; Rahab Kinyanjui
Harvested from ORCID Public Data FileRahab Kinyanjui in OpenAIRE Erwan Messager; Marco Aurelio Morales-Martínez;Erwan Messager
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesErwan Messager in OpenAIRE Gwendolyn Peyre; Francesca Pittino;Gwendolyn Peyre
Harvested from ORCID Public Data FileGwendolyn Peyre in OpenAIRE Jerome Poulenard; Jerome Poulenard
Harvested from ORCID Public Data FileJerome Poulenard in OpenAIRE Roberto Seppi; Milap Chand Sharma; Nurai Urseitova; Blake Weissling;Roberto Seppi
Harvested from ORCID Public Data FileRoberto Seppi in OpenAIRE Yan Yang; Vitalii Zaginaev; Anaïs Zimmer; Anaïs Zimmer
Harvested from ORCID Public Data FileAnaïs Zimmer in OpenAIRE Guglielmina Adele Diolaiuti; Guglielmina Adele Diolaiuti
Harvested from ORCID Public Data FileGuglielmina Adele Diolaiuti in OpenAIRE Antoine Rabatel; Antoine Rabatel
Harvested from ORCID Public Data FileAntoine Rabatel in OpenAIRE Gentile Francesco Ficetola; Gentile Francesco Ficetola
Harvested from ORCID Public Data FileGentile Francesco Ficetola in OpenAIREMost of the world’s mountain glaciers have been retreating for more than a century in response to climate change. Glacier retreat is evident on all continents, and the rate of retreat has accelerated during recent decades. Accurate, spatially explicit information on the position of glacier margins over time is useful for analyzing patterns of glacier retreat and measuring reductions in glacier surface area. This information is also essential for evaluating how mountain ecosystems are evolving due to climate warming and the attendant glacier retreat. Here, we present a non-comprehensive spatially explicit dataset showing multiple positions of glacier fronts since the Little Ice Age (LIA) maxima, including many data from the pre-satellite era. The dataset is based on multiple historical archival records including topographical maps; repeated photographs, paintings, and aerial or satellite images with a supplement of geochronology; and own field data. We provide ESRI shapefiles showing 728 past positions of 94 glacier fronts from all continents, except Antarctica, covering the period between the Little Ice Age maxima and the present. On average, the time series span the past 190 years. From 2 to 46 past positions per glacier are depicted (on average: 7.8).
Access RoutesGreen gold 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/data6100107&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Ferlin F.; Valentini F.;
Valentini F.
Harvested from ORCID Public Data FileValentini F. in OpenAIRE Marrocchi A.; Marrocchi A.
Harvested from ORCID Public Data FileMarrocchi A. in OpenAIRE Vaccaro L.; Vaccaro L.
Harvested from ORCID Public Data FileVaccaro L. in OpenAIREispartof: ACS SUSTAINABLE CHEMISTRY & ENGINEERING vol:9 issue:29 pages:9604-9624 status: published
Access RoutesGreen hybrid 31 citations 31 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acssuschemeng.1c03247&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Ferlin F.; Valentini F.;
Valentini F.
Harvested from ORCID Public Data FileValentini F. in OpenAIRE Marrocchi A.; Marrocchi A.
Harvested from ORCID Public Data FileMarrocchi A. in OpenAIRE Vaccaro L.; Vaccaro L.
Harvested from ORCID Public Data FileVaccaro L. in OpenAIREispartof: ACS SUSTAINABLE CHEMISTRY & ENGINEERING vol:9 issue:29 pages:9604-9624 status: published
Access RoutesGreen hybrid 31 citations 31 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acssuschemeng.1c03247&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Bernabas Wolde; Sydney Oluoch; Andres Susaeta; Pankaj Lal;
Pankaj Lal
Harvested from ORCID Public Data FilePankaj Lal in OpenAIREAbstract Kenya has made considerable policy efforts to expand its renewable energy portfolio to meet energy demand and mitigate greenhouse gas (GHG) emissions. Development of proper policies requires a robust framework for analyzing the benefits of renewable energy investments. Towards this end, this study applied a choice experiment analysis to determine how attributes (type of energy, ownership, impact on environment, distance and visibility, community job creation, and yearly renewable energy tax) impact the public willingness to pay for renewable energy development in Kenya. A nationwide survey of 1020 households was conducted in nine counties using conditional logit (MNL) and random parameter logit (RPL) frameworks. The results reveal that the Kenyan public places a high value on environmental impact, followed by type of renewable energy and community job creation, respectively. On the other hand, respondents do not place much emphasis on ownership or distance and visibility. Policy simulation suggests that while renewable energy adoption is highly valued by households, the total willingness to pay is not enough to cover the higher capital cost for the development of various renewable energy technologies.
27 citations 27 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2021.105256&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Bernabas Wolde; Sydney Oluoch; Andres Susaeta; Pankaj Lal;
Pankaj Lal
Harvested from ORCID Public Data FilePankaj Lal in OpenAIREAbstract Kenya has made considerable policy efforts to expand its renewable energy portfolio to meet energy demand and mitigate greenhouse gas (GHG) emissions. Development of proper policies requires a robust framework for analyzing the benefits of renewable energy investments. Towards this end, this study applied a choice experiment analysis to determine how attributes (type of energy, ownership, impact on environment, distance and visibility, community job creation, and yearly renewable energy tax) impact the public willingness to pay for renewable energy development in Kenya. A nationwide survey of 1020 households was conducted in nine counties using conditional logit (MNL) and random parameter logit (RPL) frameworks. The results reveal that the Kenyan public places a high value on environmental impact, followed by type of renewable energy and community job creation, respectively. On the other hand, respondents do not place much emphasis on ownership or distance and visibility. Policy simulation suggests that while renewable energy adoption is highly valued by households, the total willingness to pay is not enough to cover the higher capital cost for the development of various renewable energy technologies.
27 citations 27 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2021.105256&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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