Yixun Xue; Yixun Xue
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesYixun Xue in OpenAIRE Mohammad Shahidehpour; Zhaoguang Pan; Bin Wang; +3 AuthorsMohammad Shahidehpour
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMohammad Shahidehpour in OpenAIRE Yixun Xue; Yixun Xue
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesYixun Xue in OpenAIRE Mohammad Shahidehpour; Zhaoguang Pan; Bin Wang;Mohammad Shahidehpour
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMohammad Shahidehpour in OpenAIRE
Quan Zhou; Qinglai Guo; Qinglai Guo
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesQinglai Guo in OpenAIRE Hongbin Sun; Hongbin Sun
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHongbin Sun in OpenAIREMassive adoptions of combined heat and power (CHP) units necessitate the coordinated operation of power system and district heating system (DHS). Exploiting the reconfigurable property of district heating networks (DHNs) provides a cost-effective solution to enhance the flexibility of the power system by redistributing heat loads in DHS. In this paper, a unit commitment considering combined electricity and reconfigurable heating network (UC-CERHN) is proposed to coordinate the day-ahead scheduling of power system and DHS. The DHS is formulated as a nonlinear and mixed-integer model with considering the reconfigurable DHN. Also, an auxiliary energy flow variable is introduced in the formed DHS model to make the commitment problem tractable, where the computational burdens are significantly reduced. Extensive case studies are presented to validate the effectiveness of the approximated model and illustrate the potential benefits of the proposed method with respect to congestion management and wind power accommodation. (Corresponding author:Hongbin Sun)
Access RoutesGreen bronze 29 citations 29 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=10.1109/tste.2020.3036887&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- EC| PROBIST ,GSRI Aad, Georges; Abbott, Brad; Abreu, Henso;
Aad, Georges
Harvested from ORCID Public Data FileAad, Georges in OpenAIRE Araujo Ferraz, Victor; +196 AuthorsAraujo Ferraz, Victor
Harvested from ORCID Public Data FileAraujo Ferraz, Victor in OpenAIRE Aad, Georges; Abbott, Brad; Abreu, Henso;Aad, Georges
Harvested from ORCID Public Data FileAad, Georges in OpenAIRE Araujo Ferraz, Victor; Guth, Manuel; Gutierrez, Phillip;Araujo Ferraz, Victor
Harvested from ORCID Public Data FileAraujo Ferraz, Victor in OpenAIRE Gutschow, Christian; Guyot, Claude;Gutschow, Christian
Harvested from ORCID Public Data FileGutschow, Christian in OpenAIRE Gwenlan, Claire; Gwenlan, Claire
Harvested from ORCID Public Data FileGwenlan, Claire in OpenAIRE Gwilliam, Carl; Haas, Andy; Haber, Carl;Gwilliam, Carl
Harvested from ORCID Public Data FileGwilliam, Carl in OpenAIRE Hadavand, Haleh Khani; Haddad, Nacim; Araujo Pereira, Rodrigo;Hadavand, Haleh Khani
Harvested from ORCID Public Data FileHadavand, Haleh Khani in OpenAIRE Hadef, Asma; Hageboeck, Stephan; Haleem, Mahsana;Hadef, Asma
Harvested from ORCID Public Data FileHadef, Asma in OpenAIRE Haley, Joseph; Haley, Joseph
Harvested from ORCID Public Data FileHaley, Joseph in OpenAIRE Halladjian, Garabed; Hallewell, Gregory David; Hamacher, Klaus;Halladjian, Garabed
Harvested from ORCID Public Data FileHalladjian, Garabed in OpenAIRE Hamal, Petr; Hamano, Kenji; Hamdaoui, Hassane; Arcangeletti, Chiara; Hamity, Guillermo Nicolas;Hamal, Petr
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHamal, Petr in OpenAIRE Han, Kunlin; Han, Liang; Han, Shuo; Han, Yi Fei;Han, Kunlin
Harvested from ORCID Public Data FileHan, Kunlin in OpenAIRE Hanagaki, Kazunori; Hance, Michael;Hanagaki, Kazunori
Harvested from ORCID Public Data FileHanagaki, Kazunori in OpenAIRE Handl, David Michael; Handl, David Michael
Harvested from ORCID Public Data FileHandl, David Michael in OpenAIRE Haney, Bijan; Hankache, Robert; Arce, Ayana;Haney, Bijan
Harvested from ORCID Public Data FileHaney, Bijan in OpenAIRE Hansen, Eva; Hansen, Jorgen Beck; Hansen, Jorn Dines; Hansen, Maike Christina;Hansen, Eva
Harvested from ORCID Public Data FileHansen, Eva in OpenAIRE Hansen, Peter Henrik; Hanson, Emily Claire; Hara, Kazuhiko; Harenberg, Torsten; Harkusha, Siarhei; Harrison, Paul Fraser; Arduh, Francisco Anuar; Hartmann, Nikolai Marcel; Hasegawa, Yoji; Hasib, Ahmed;Hansen, Peter Henrik
Harvested from ORCID Public Data FileHansen, Peter Henrik in OpenAIRE Hassani, Samira; Hassani, Samira
Harvested from ORCID Public Data FileHassani, Samira in OpenAIRE Haug, Sigve; Hauser, Reiner; Havener, Laura Brittany; Havranek, Miroslav; Hawkes, Christopher; Hawkings, Richard;Haug, Sigve
Harvested from ORCID Public Data FileHaug, Sigve in OpenAIRE Arguin, Jean-Francois; Hayden, Daniel;Arguin, Jean-Francois
Harvested from ORCID Public Data FileArguin, Jean-Francois in OpenAIRE Hayes, Christopher; Hayes, Robin Leigh;Hayes, Christopher
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHayes, Christopher in OpenAIRE Hays, Chris; Hays, Jonathan Michael; Hayward, Helen; Haywood, Stephen; He, Fudong;Hays, Chris
Harvested from ORCID Public Data FileHays, Chris in OpenAIRE Heath, Matthew Peter; Hedberg, Vincent;Heath, Matthew Peter
Harvested from ORCID Public Data FileHeath, Matthew Peter in OpenAIRE Argyropoulos, Spyridon; Argyropoulos, Spyridon
Harvested from ORCID Public Data FileArgyropoulos, Spyridon in OpenAIRE Heelan, Louise; Heer, Sebastian; Heidegger, Kim Katrin; Heidorn, William Dale; Heilman, Jesse;Heelan, Louise
Harvested from ORCID Public Data FileHeelan, Louise in OpenAIRE Heim, Sarah; Heim, Timon Frank-thomas; Heinemann, Beate;Heim, Sarah
Harvested from ORCID Public Data FileHeim, Sarah in OpenAIRE Heinrich, Jochen Jens; Heinrich, Jochen Jens
Harvested from ORCID Public Data FileHeinrich, Jochen Jens in OpenAIRE Heinrich, Lukas; Heinrich, Lukas
Harvested from ORCID Public Data FileHeinrich, Lukas in OpenAIRE Arling, Jan-Hendrik; Heinz, Christian; Hejbal, Jiri; Helary, Louis;Arling, Jan-Hendrik
Harvested from ORCID Public Data FileArling, Jan-Hendrik in OpenAIRE Held, Alexander; Hellesund, Simen; Helling, Cole Michael; Hellman, Sten; Helsens, Clement; Henderson, Robert; Heng, Yang; Armbruster, Aaron James; Henkelmann, Steffen; Henriques Correia, Ana Maria; Herbert, Geoffrey Henry;Held, Alexander
Harvested from ORCID Public Data FileHeld, Alexander in OpenAIRE Herde, Hannah; Herget, Verena; Hernandez Jimenez, Yesenia; Herr, Holger; Herrmann, Maximilian Georg; Herrmann, Tim;Herde, Hannah
Harvested from ORCID Public Data FileHerde, Hannah in OpenAIRE Herten, Gregor; Armstrong, Alexander III; Hertenberger, Ralf; Hervas, Luis; Herwig, Theodor Christian; Hesketh, Gavin Grant; Hessey, Nigel; Higashida, Akihiro; Higashino, Satoshi; Higon-Rodriguez, Emilio; Hildebrand, Kevin;Herten, Gregor
Harvested from ORCID Public Data FileHerten, Gregor in OpenAIRE Hill, Ewan; Abulaiti, Yiming;Hill, Ewan
Harvested from ORCID Public Data FileHill, Ewan in OpenAIRE Arnaez, Olivier; Hill, John; Hill, Kurt Keys; Hiller, Karl Heinz;Arnaez, Olivier
Harvested from ORCID Public Data FileArnaez, Olivier in OpenAIRE Hillier, Stephen; Hillier, Stephen
Harvested from ORCID Public Data FileHillier, Stephen in OpenAIRE Hils, Maximilian; Hinchliffe, Ian; Hinterkeuser, Florian; Hirose, Minoru;Hils, Maximilian
Harvested from ORCID Public Data FileHils, Maximilian in OpenAIRE Hirose, Shigeki; Hirschbuehl, Dominic; Arnold, Hannah; Hiti, Bojan; Hladik, Ondrej; Hlaluku, Dingane Reward; Hoad, Xanthe; Hobbs, John;Hirose, Shigeki
Harvested from ORCID Public Data FileHirose, Shigeki in OpenAIRE Hod, Noam; Hodgkinson, Mark; Hoecker, Andreas; Hoenig, Friedrich; Hohn, David; Arrubarrena Tame, Zulit Paola; Hohov, Dmytro; Holmes, Tova Ray; Holzbock, Michael; Hommels, Bart;Holmes, Tova Ray
Harvested from ORCID Public Data FileHolmes, Tova Ray in OpenAIRE Honda, Shunsuke; Hong, Tae Min; Honig, Jan Cedric; Honle, Andreas; Hooberman, Benjamin Henry;Honda, Shunsuke
Harvested from ORCID Public Data FileHonda, Shunsuke in OpenAIRE Hopkins, Walter Howard; Artamonov, Andrei; Horii, Yasuyuki;Hopkins, Walter Howard
Harvested from ORCID Public Data FileHopkins, Walter Howard in OpenAIRE Horn, Philipp; Horn, Philipp
Harvested from ORCID Public Data FileHorn, Philipp in OpenAIRE Horyn, Lesya Anna; Hou, Suen; Hoummada, Abdeslam; Howarth, James;Horyn, Lesya Anna
Harvested from ORCID Public Data FileHoryn, Lesya Anna in OpenAIRE Hoya, Joaquin; Hrabovsky, Miroslav; Hrdinka, Julia; Hristova, Ivana;Hoya, Joaquin
Harvested from ORCID Public Data FileHoya, Joaquin in OpenAIRE Artoni, Giacomo; Hrivnac, Julius;Artoni, Giacomo
Harvested from ORCID Public Data FileArtoni, Giacomo in OpenAIRE Hrynevich, Aliaksei; Hryn'ova, Tetiana; Hsu, Pai-hsien Jennifer; Hsu, Shih-Chieh; Hu, Qipeng; Hu, Shuyang; Hu, Yi Fan; Huang, Dan Ping; Huang, Yicong; Artz, Sebastian; Huang, Yanping;Hrynevich, Aliaksei
Harvested from ORCID Public Data FileHrynevich, Aliaksei in OpenAIRE Hubacek, Zdenek; Hubacek, Zdenek
Harvested from ORCID Public Data FileHubacek, Zdenek in OpenAIRE Hubaut, Fabrice; Huebner, Michael; Huegging, Fabian; Huffman, Todd Brian; Huhtinen, Mika;Hubaut, Fabrice
Harvested from ORCID Public Data FileHubaut, Fabrice in OpenAIRE Hunter, Robert Francis; Huo, Peng; Hupe, Andre Marc; Asai, Shoji; Huseynov, Nazim; Huston, Joey; Huth, John; Hyneman, Rachel; Hyrych, Sofiia;Hunter, Robert Francis
Harvested from ORCID Public Data FileHunter, Robert Francis in OpenAIRE Iacobucci, Giuseppe; Iakovidis, Georgios; Ibragimov, Iskander; Iconomidou-Fayard, Lydia; Idrissi, Zineb; Asbah, Nedaa; Iengo, Paolo; Ignazzi, Rosanna; Igonkina, Olga; Iguchi, Ryunosuke; Iizawa, Tomoya; Ikegami, Yoichi; Ikeno, Masahiro;Iacobucci, Giuseppe
Harvested from ORCID Public Data FileIacobucci, Giuseppe in OpenAIRE Iliadis, Dimitrios; Iliadis, Dimitrios
Harvested from ORCID Public Data FileIliadis, Dimitrios in OpenAIRE10.1007/jhep03(2020)179 , 10.3204/pubdb-2020-02525 , 10.48550/arxiv.1912.09866 , 10.17863/cam.66468 , 10.17863/cam.53552 , 10.17863/cam.69498
2066/218361 , https://repository.ubn.ru.nl/handle/2066/218361 , 11588/884357 , 11245.1/18bc9ce6-7e36-4673-bd77-df314f6020ed , 20.500.11851/9303 , 10852/83588 , 11250/2756168 , 10261/232887 , 10316/106311 , 10486/708879 , 10481/61851 , 20.500.11770/304198 , 11572/317931 , 11390/1182228 , 2108/275731 , 11590/388554 , 11573/1493191 , 11367/95123 , 11567/1103136 , 11568/1076219 , 11587/427313 , 11585/790275 , 1959.3/463676 , 11571/1370394 , 11343/252034 , 10210/463537 , 11411/2003
10.1007/jhep03(2020)179 , 10.3204/pubdb-2020-02525 , 10.48550/arxiv.1912.09866 , 10.17863/cam.66468 , 10.17863/cam.53552 , 10.17863/cam.69498
2066/218361 , https://repository.ubn.ru.nl/handle/2066/218361 , 11588/884357 , 11245.1/18bc9ce6-7e36-4673-bd77-df314f6020ed , 20.500.11851/9303 , 10852/83588 , 11250/2756168 , 10261/232887 , 10316/106311 , 10486/708879 , 10481/61851 , 20.500.11770/304198 , 11572/317931 , 11390/1182228 , 2108/275731 , 11590/388554 , 11573/1493191 , 11367/95123 , 11567/1103136 , 11568/1076219 , 11587/427313 , 11585/790275 , 1959.3/463676 , 11571/1370394 , 11343/252034 , 10210/463537 , 11411/2003
Abstract The dynamics of isolated-photon plus two-jet production in pp collisions at a centre-of-mass energy of 13 TeV are studied with the ATLAS detector at the LHC using a dataset corresponding to an integrated luminosity of 36.1 fb−1. Cross sections are measured as functions of a variety of observables, including angular correlations and invariant masses of the objects in the final state, γ + jet + jet. Measurements are also performed in phase-space regions enriched in each of the two underlying physical mechanisms, namely direct and fragmentation processes. The measurements cover the range of photon (jet) transverse momenta from 150 GeV (100 GeV) to 2 TeV. The tree-level plus parton-shower predictions from Sherpa and Pythia as well as the next-to-leading-order QCD predictions from Sherpa are compared with the measurements. The next-to-leading-order QCD predictions describe the data adequately in shape and normalisation except for regions of phase space such as those with high values of the invariant mass or rapidity separation of the two jets, where the predictions overestimate the data.
Access RoutesGreen gold 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/jhep03(2020)179&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Abdul Raheem; Ming Zhao; Wafa Dastyar; Abdul Qadir Channa; +2 Authors
Abdul Raheem
Harvested from ORCID Public Data FileAbdul Raheem in OpenAIRE Abdul Raheem; Ming Zhao; Wafa Dastyar; Abdul Qadir Channa;Abdul Raheem
Harvested from ORCID Public Data FileAbdul Raheem in OpenAIRE Guozhao Ji; Guozhao Ji
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesGuozhao Ji in OpenAIRE Yeshui Zhang; Yeshui Zhang
Harvested from ORCID Public Data FileYeshui Zhang in OpenAIREAbstract This research focuses on parametric influence on product distribution and syngas production from conventional gasification. Three experimental parameters at three different levels of temperature (700, 800 and 900 °C), sugarcane bagasse loading (2, 3 and 4 g) and residence time (10, 20 and 30 min) were studied using horizontal axis tubular furnace. Response Surface Methodology supported by central composite design was adopted in order to investigate parameters impact on product distribution (i.e., gas, tar and char) and gaseous products (i.e., H2, CO, CO2 and CH4). The highest H2 fraction obtained was 42.88 mol% (36.91 g-H2 kg-biomass−1) at 3 g of sugarcane bagasse loading, 900 °C and 30 min reaction time. The temperature was identified as the most influential parameter followed by reaction time for H2 production and diminishing the bio-tar and char yields. An increase in sugarcane bagasse loading, on other hand, favored the production of bio-tar, CO2 and CH4 production. The statistical analysis verified temperature as most significant (p-value 0.0008) amongst the parameters investigated for sugarcane bagasse biomass gasification.
Access Routesbronze 41 citations 41 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=10.1016/j.ijhydene.2019.04.127&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| DEW-COOL-4-CDCLiu Y; Golizadeh Akhlaghi Y;
Golizadeh Akhlaghi Y
Harvested from ORCID Public Data FileGolizadeh Akhlaghi Y in OpenAIRE Zhao X; Li J;Abstract This paper investigated the cooling performance of a high-efficiency dew-point evaporative cooler with optimised air and water flow arrangement using the combined experimental and numerical simulation method. The experimental results showed that the wet-bulb efficiency of the dew-point evaporative cooler was increased by 29.3% and COP was increased by 34.6%, compared to the existing commercial dew point air cooler of the same capacity. An improved two-dimensional, multi-factor engaged numerical model which can scale up and optimize the size and capacity of the cooler was developed. The numerical predictions agreed well with the experimental results, indicating that the cooling rate of the dew-point evaporative cooler is influenced by the dew-point evaporative cooler structure. The cooling efficiency of the dew-point evaporative cooler with corrugated plates is more than 10% higher than with flat plates and the cooling efficiency of the dew-point evaporative cooler with the actual flow arrangement is only 62%–67% that of a dew-point evaporative cooler with an ideal counter-flow arrangement. The cooling efficiency can be improved by increasing the channel length and the air entrance length, and decreasing the channel width and channel gap within a reasonable range.
Access Routeshybrid 63 citations 63 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=10.1016/j.enbuild.2019.05.038&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Ming Xu; Jinhui Li;
Jinhui Li
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJinhui Li in OpenAIRE Xianlai Zeng; Xianlai Zeng;Xianlai Zeng
Harvested from ORCID Public Data FileXianlai Zeng in OpenAIREAbstract Rapid economic growth and accelerating urbanization in the past three decades have accelerated the exhaustion of China’s mineral resources. China is the world’s largest consumer and importer of nickel resources; therefore, a growing domestic demand will increase China’s import dependence and in turn make it potentially vulnerable to supply shortages. One hundred years from 1950 to 2050 were examined for China’s nickel utilization. Identified domestic nickel resources can only sustain China’s industries until 2017, but nickel will reach peak utilization around the year of 2020–2022. Given the 5% annual increase in applications and the growing importation of minerals in China, the carrying duration of nickel resources until 2020 will require a nickel-recycling rate of more than 90%. To sustain China’s nickel utilization, future strategies should foster three solutions: maintaining a high level of imports, adjusting the landscape of nickel applications, and shifting from virgin mining of geological minerals to urban mining of anthropogenic resources.
66 citations 66 popularity Top 1% 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=10.1016/j.resconrec.2018.08.011&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Hui-Ming Cheng; Hui-Ming Cheng; Yongqiang Yang; Yongqiang Yang; +11 Authors
Yongqiang Yang
Harvested from ORCID Public Data FileYongqiang Yang in OpenAIREHui-Ming Cheng; Hui-Ming Cheng; Yongqiang Yang; Yongqiang Yang;Yongqiang Yang
Harvested from ORCID Public Data FileYongqiang Yang in OpenAIRE John T. S. Irvine; John T. S. Irvine
Harvested from ORCID Public Data FileJohn T. S. Irvine in OpenAIRE Lianzhou Wang; Lianzhou Wang
Harvested from ORCID Public Data FileLianzhou Wang in OpenAIRE Chao Zhen; Chao Zhen; Gang Liu; Gang Liu; Xudong Sun; Xudong Sun; Runze Chen; Runze Chen; Runze Chen;Abstract Concerning both the activity and stability of the promising solar-driven Ta3N5-based photoanodes for photoelectrochemical water splitting, the strategy for simultaneously promoting charge separation, enhancing catalytic activity and also improving the resistance to self-oxidation is highly desirable and actively pursued. In this study, a novel dual co-catalyst shell consisting of a continuous CoPi layer at the bottom and many non-continuous Co(OH)2 islands at the top of the CoPi layer is designed to meet the strict requirements for efficient Ta3N5 photoanodes. As a result of the synergistic effects of such a shell in collectively addressing the concerns, the constructed photoanode of CoPi/Co(OH)2-Ta3N5 nanorod arrays show the remarkably enhanced photoelectrochemical water splitting performance compared with the photoanodes with single co-catalyst. The results demonstrated in this study are expected to shed some light on constructing efficient photoelectrodes of the light absorbers that have wide absorption range but low resistance to self-oxidation.
Access RoutesGreen bronze 57 citations 57 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=10.1016/j.nanoen.2019.03.009&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Huifang Li; Djavan De Clercq; Yuan Tao; Zongguo Wen; +1 Authors
Huifang Li
Harvested from ORCID Public Data FileHuifang Li in OpenAIRE Huifang Li; Djavan De Clercq; Yuan Tao; Zongguo Wen;Huifang Li
Harvested from ORCID Public Data FileHuifang Li in OpenAIRE Yihan Wang; Yihan Wang
Harvested from ORCID Public Data FileYihan Wang in OpenAIREA precise energy conservation and emission reduction (ECER) path in industrial sector contains two aspects: applying effective ECER measures and focusing on processes with significant ECER potential. However, most studies have investigated the ECER effects of an individual measure or only evaluated industrial-level ECER potential. Therefore, the objective of this study is to find a precise ECER path in China's iron and steel industry through quantitative analysis methods. First, this article adopts scenario analysis to simulate situations where different ECER measures are adopted and designs calculation methods to quantitatively evaluate the ECER effects in each scenario in 2020 and 2025. Second, through analysis of the application of ECER measures to certain processes, we calculate the ECER potential of different individual processes in the iron and steel industry. In addition, the conservation supply curve method and the quadrant method are used to measure the level of advanced technology application. The results show that: (1) for four types of ECER measures, the limitation of production output measure is most effective, contributing to 6.98% and 12.50% decreases in total industrial energy consumption and pollutant emissions in 2020 and 2025; moreover, the contribution of the adjustment of scale structure measure is comparatively low. (2) The sintering and ironmaking processes have strong ECER potential in 2020, while the steel making process also has high ECER potential in 2025. (3) 21 technologies are divided into 4 quadrants based on energy, popularity, and economic performance. In addition, we provide some suggestions for future ECER policies. In sum, this article provides an in-depth example of determining a precise ECER path in an important industry.
66 citations 66 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=10.1016/j.jenvman.2019.06.024&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Christine Shearer; Chaopeng Hong;
Chaopeng Hong
Harvested from ORCID Public Data FileChaopeng Hong in OpenAIRE Steven J. Davis; Steven J. Davis; +7 AuthorsSteven J. Davis
Harvested from ORCID Public Data FileSteven J. Davis in OpenAIREChristine Shearer; Chaopeng Hong; Chaopeng Hong
Harvested from ORCID Public Data FileChaopeng Hong in OpenAIRE Steven J. Davis; Steven J. Davis; Yue Qin; Qiang Zhang; Ken Caldeira; Yixuan Zheng; Yixuan Zheng; Dan Tong; Dan Tong;Steven J. Davis
Harvested from ORCID Public Data FileSteven J. Davis in OpenAIRENet anthropogenic emissions of carbon dioxide (CO2) must approach zero by mid-century (2050) in order to stabilize the global mean temperature at the level targeted by international efforts1-5. Yet continued expansion of fossil-fuel-burning energy infrastructure implies already 'committed' future CO2 emissions6-13. Here we use detailed datasets of existing fossil-fuel energy infrastructure in 2018 to estimate regional and sectoral patterns of committed CO2 emissions, the sensitivity of such emissions to assumed operating lifetimes and schedules, and the economic value of the associated infrastructure. We estimate that, if operated as historically, existing infrastructure will cumulatively emit about 658 gigatonnes of CO2 (with a range of 226 to 1,479 gigatonnes CO2, depending on the lifetimes and utilization rates assumed). More than half of these emissions are predicted to come from the electricity sector; infrastructure in China, the USA and the 28 member states of the European Union represents approximately 41 per cent, 9 per cent and 7 per cent of the total, respectively. If built, proposed power plants (planned, permitted or under construction) would emit roughly an extra 188 (range 37-427) gigatonnes CO2. Committed emissions from existing and proposed energy infrastructure (about 846 gigatonnes CO2) thus represent more than the entire carbon budget that remains if mean warming is to be limited to 1.5 degrees Celsius (°C) with a probability of 66 to 50 per cent (420-580 gigatonnes CO2)5, and perhaps two-thirds of the remaining carbon budget if mean warming is to be limited to less than 2 °C (1,170-1,500 gigatonnes CO2)5. The remaining carbon budget estimates are varied and nuanced14,15, and depend on the climate target and the availability of large-scale negative emissions16. Nevertheless, our estimates suggest that little or no new CO2-emitting infrastructure can be commissioned, and that existing infrastructure may need to be retired early (or be retrofitted with carbon capture and storage technology) in order to meet the Paris Agreement climate goals17. Given the asset value per tonne of committed emissions, we suggest that the most cost-effective premature infrastructure retirements will be in the electricity and industry sectors, if non-emitting alternatives are available and affordable4,18.
Access RoutesGreen hybrid 593 citations 593 popularity Top 0.1% influence Top 1% impulse Top 0.01% 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=10.1038/s41586-019-1364-3&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| PROBIST Aad, Georges; Abbott, Brad; Abreu, Henso; Arcangeletti, Chiara; +196 Authors
Aad, Georges
Harvested from ORCID Public Data FileAad, Georges in OpenAIRE Aad, Georges; Abbott, Brad; Abreu, Henso; Arcangeletti, Chiara; Gutierrez, Phillip;Aad, Georges
Harvested from ORCID Public Data FileAad, Georges in OpenAIRE Gutschow, Christian; Guyot, Claude;Gutschow, Christian
Harvested from ORCID Public Data FileGutschow, Christian in OpenAIRE Gwenlan, Claire; Gwenlan, Claire
Harvested from ORCID Public Data FileGwenlan, Claire in OpenAIRE Gwilliam, Carl; Haas, Andy; Haber, Carl;Gwilliam, Carl
Harvested from ORCID Public Data FileGwilliam, Carl in OpenAIRE Hadavand, Haleh Khani; Haddad, Nacim;Hadavand, Haleh Khani
Harvested from ORCID Public Data FileHadavand, Haleh Khani in OpenAIRE Hadef, Asma; Arce, Ayana; Hageboeck, Stephan; Haleem, Mahsana;Hadef, Asma
Harvested from ORCID Public Data FileHadef, Asma in OpenAIRE Haley, Joseph; Haley, Joseph
Harvested from ORCID Public Data FileHaley, Joseph in OpenAIRE Halladjian, Garabed; Hallewell, Gregory David; Hamacher, Klaus;Halladjian, Garabed
Harvested from ORCID Public Data FileHalladjian, Garabed in OpenAIRE Hamal, Petr; Hamano, Kenji; Hamdaoui, Hassane; Hamer, Matthias; Arduh, Francisco Anuar; Hamity, Guillermo Nicolas;Hamal, Petr
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHamal, Petr in OpenAIRE Han, Kunlin; Han, Liang;Han, Kunlin
Harvested from ORCID Public Data FileHan, Kunlin in OpenAIRE Han, Shuo; Han, Yi Fei;Han, Shuo
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHan, Shuo in OpenAIRE Hanagaki, Kazunori; Hance, Michael;Hanagaki, Kazunori
Harvested from ORCID Public Data FileHanagaki, Kazunori in OpenAIRE Handl, David Michael; Handl, David Michael
Harvested from ORCID Public Data FileHandl, David Michael in OpenAIRE Haney, Bijan; Hankache, Robert;Haney, Bijan
Harvested from ORCID Public Data FileHaney, Bijan in OpenAIRE Arguin, Jean-Francois; Hansen, Eva; Hansen, Jorgen Beck; Hansen, Jorn Dines; Hansen, Maike Christina;Arguin, Jean-Francois
Harvested from ORCID Public Data FileArguin, Jean-Francois in OpenAIRE Hansen, Peter Henrik; Hanson, Emily Claire; Hara, Kazuhiko; Harenberg, Torsten; Harkusha, Siarhei; Harrison, Paul Fraser;Hansen, Peter Henrik
Harvested from ORCID Public Data FileHansen, Peter Henrik in OpenAIRE Argyropoulos, Spyridon; Hartmann, Nikolai Marcel; Hasegawa, Yoji; Hasib, Ahmed;Argyropoulos, Spyridon
Harvested from ORCID Public Data FileArgyropoulos, Spyridon in OpenAIRE Hassani, Samira; Hassani, Samira
Harvested from ORCID Public Data FileHassani, Samira in OpenAIRE Haug, Sigve; Hauser, Reiner; Havener, Laura Brittany; Havranek, Miroslav; Hawkes, Christopher; Hawkings, Richard;Haug, Sigve
Harvested from ORCID Public Data FileHaug, Sigve in OpenAIRE Arling, Jan-Hendrik; Hayden, Daniel;Arling, Jan-Hendrik
Harvested from ORCID Public Data FileArling, Jan-Hendrik in OpenAIRE Hayes, Christopher; Hayes, Robin Leigh;Hayes, Christopher
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHayes, Christopher in OpenAIRE Hays, Chris; Hays, Jonathan Michael; Hayward, Helen; Haywood, Stephen; He, Fudong;Hays, Chris
Harvested from ORCID Public Data FileHays, Chris in OpenAIRE Heath, Matthew Peter; Hedberg, Vincent; Armbruster, Aaron James;Heath, Matthew Peter
Harvested from ORCID Public Data FileHeath, Matthew Peter in OpenAIRE Heelan, Louise; Heer, Sebastian; Heidegger, Kim Katrin; Heidorn, William Dale; Heilman, Jesse;Heelan, Louise
Harvested from ORCID Public Data FileHeelan, Louise in OpenAIRE Heim, Sarah; Heim, Timon Frank-thomas;Heim, Sarah
Harvested from ORCID Public Data FileHeim, Sarah in OpenAIRE Heinemann, Beate; Heinemann, Beate
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHeinemann, Beate in OpenAIRE Heinrich, Jochen Jens; Heinrich, Jochen Jens
Harvested from ORCID Public Data FileHeinrich, Jochen Jens in OpenAIRE Heinrich, Lukas; Armstrong, Alexander III; Hejbal, Jiri;Heinrich, Lukas
Harvested from ORCID Public Data FileHeinrich, Lukas in OpenAIRE Helary, Louis; Helary, Louis
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHelary, Louis in OpenAIRE Held, Alexander; Hellesund, Simen; Helling, Cole Michael; Hellman, Sten; Helsens, Clement; Henderson, Robert; Heng, Yang; Henkelmann, Lars;Held, Alexander
Harvested from ORCID Public Data FileHeld, Alexander in OpenAIRE Arnaez, Olivier; Henkelmann, Steffen; Henriques Correia, Ana Maria; Herbert, Geoffrey Henry;Arnaez, Olivier
Harvested from ORCID Public Data FileArnaez, Olivier in OpenAIRE Herde, Hannah; Herde, Hannah
Harvested from ORCID Public Data FileHerde, Hannah in OpenAIRE Herget, Verena; Hernandez Jimenez, Yesenia; Herr, Holger; Herrmann, Maximilian Georg;Herget, Verena
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHerget, Verena in OpenAIRE Herrmann, Tim; Herrmann, Tim
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHerrmann, Tim in OpenAIRE Herten, Gregor; Arnold, Hannah; Hertenberger, Ralf; Hervas, Luis; Herwig, Theodor Christian; Hesketh, Gavin Grant; Hessey, Nigel; Higashida, Akihiro; Higashino, Satoshi; Higon-Rodriguez, Emilio; Hildebrand, Kevin;Herten, Gregor
Harvested from ORCID Public Data FileHerten, Gregor in OpenAIRE Hill, Ewan; Abulaiti, Yiming; Arrubarrena Tame, Zulit Paola; Hill, John; Hill, Kurt Keys; Hiller, Karl Heinz;Hill, Ewan
Harvested from ORCID Public Data FileHill, Ewan in OpenAIRE Hillier, Stephen; Hillier, Stephen
Harvested from ORCID Public Data FileHillier, Stephen in OpenAIRE Hils, Maximilian; Hinchliffe, Ian; Hinterkeuser, Florian; Hirose, Minoru;Hils, Maximilian
Harvested from ORCID Public Data FileHils, Maximilian in OpenAIRE Hirose, Shigeki; Hirose, Shigeki
Harvested from ORCID Public Data FileHirose, Shigeki in OpenAIRE Hirschbuehl, Dominic; Hirschbuehl, Dominic
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHirschbuehl, Dominic in OpenAIRE Artoni, Giacomo; Hiti, Bojan; Hladik, Ondrej; Hlaluku, Dingane Reward; Hoad, Xanthe; Hobbs, John;Artoni, Giacomo
Harvested from ORCID Public Data FileArtoni, Giacomo in OpenAIRE Hod, Noam; Hodgkinson, Mark; Hoecker, Andreas; Hohn, David; Hohov, Dmytro; Artz, Sebastian; Holm, Tanja;Hohn, David
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Harvested from ORCID Public Data FileHolmes, Tova Ray in OpenAIRE Honda, Shunsuke; Hong, Tae Min; Honig, Jan Cedric; Honle, Andreas; Hooberman, Benjamin Henry;Honda, Shunsuke
Harvested from ORCID Public Data FileHonda, Shunsuke in OpenAIRE Hopkins, Walter Howard; Asai, Shoji; Horii, Yasuyuki;Hopkins, Walter Howard
Harvested from ORCID Public Data FileHopkins, Walter Howard in OpenAIRE Horn, Philipp; Horn, Philipp
Harvested from ORCID Public Data FileHorn, Philipp in OpenAIRE Horyn, Lesya Anna; Hou, Suen; Hoummada, Abdeslam; Howarth, James;Horyn, Lesya Anna
Harvested from ORCID Public Data FileHoryn, Lesya Anna in OpenAIRE Hoya, Joaquin; Hrabovsky, Miroslav; Hrdinka, Julia; Hristova, Ivana; Asbah, Nedaa; Hrivnac, Julius;Hoya, Joaquin
Harvested from ORCID Public Data FileHoya, Joaquin in OpenAIRE Hrynevich, Aliaksei; Hryn'ova, Tetiana; Hsu, Pai-hsien Jennifer; Hsu, Shih-Chieh; Hu, Qipeng; Hu, Shuyang; Hu, Yi Fan; Huang, Dan Ping; Huang, Yicong;Hrynevich, Aliaksei
Harvested from ORCID Public Data FileHrynevich, Aliaksei in OpenAIRE Asimakopoulou, Eleni Myrto; Huang, Yanping;Asimakopoulou, Eleni Myrto
Harvested from ORCID Public Data FileAsimakopoulou, Eleni Myrto in OpenAIRE Hubacek, Zdenek; Hubacek, Zdenek
Harvested from ORCID Public Data FileHubacek, Zdenek in OpenAIRE Hubaut, Fabrice; Huebner, Michael; Huegging, Fabian; Huffman, Todd Brian; Huhtinen, Mika;Hubaut, Fabrice
Harvested from ORCID Public Data FileHubaut, Fabrice in OpenAIRE Hunter, Robert Francis; Huo, Peng; Hupe, Andre Marc; Asquith, Lily; Huseynov, Nazim; Huston, Joey; Huth, John; Hyneman, Rachel; Hyrych, Sofiia;Hunter, Robert Francis
Harvested from ORCID Public Data FileHunter, Robert Francis in OpenAIRE Iacobucci, Giuseppe; Iakovidis, Georgios; Ibragimov, Iskander; Iconomidou-Fayard, Lydia; Idrissi, Zineb; Assahsah, Jihad; Iengo, Paolo; Ignazzi, Rosanna; Igonkina, Olga; Iguchi, Ryunosuke; Iizawa, Tomoya; Ikegami, Yoichi; Ikeno, Masahiro;Iacobucci, Giuseppe
Harvested from ORCID Public Data FileIacobucci, Giuseppe in OpenAIRE Iliadis, Dimitrios; Iliadis, Dimitrios
Harvested from ORCID Public Data FileIliadis, Dimitrios in OpenAIRE10.1140/epjc/s10052-020-7907-9 , 10.48550/arxiv.1910.08819 , 10.3204/pubdb-2019-05253 , 10.17863/cam.54305 , 10.17863/cam.56336 , 10.17863/cam.53878 , 10.17863/cam.71238 , 10.3204/pubdb-2020-02552 , 10.17863/cam.55182
2066/221204 , 2066/221923 , https://repository.ubn.ru.nl/handle/2066/221204 , 11588/884416 , 11245.1/63948321-7440-4575-bbe9-d7fcb633bb42 , 20.500.11851/9777 , 11250/2755506 , 10852/83795 , 10261/232448 , 10316/106040 , 10486/704298 , 10481/64525 , 20.500.11770/306706 , 11572/318659 , 11390/1187851 , 2108/275805 , 11590/388717 , 11573/1494293 , 11367/95174 , 11567/1034593 , 11568/1075979 , 11587/439702 , 11585/783052 , 11343/252094 , 11571/1370850 , 1959.3/463769
10.1140/epjc/s10052-020-7907-9 , 10.48550/arxiv.1910.08819 , 10.3204/pubdb-2019-05253 , 10.17863/cam.54305 , 10.17863/cam.56336 , 10.17863/cam.53878 , 10.17863/cam.71238 , 10.3204/pubdb-2020-02552 , 10.17863/cam.55182
2066/221204 , 2066/221923 , https://repository.ubn.ru.nl/handle/2066/221204 , 11588/884416 , 11245.1/63948321-7440-4575-bbe9-d7fcb633bb42 , 20.500.11851/9777 , 11250/2755506 , 10852/83795 , 10261/232448 , 10316/106040 , 10486/704298 , 10481/64525 , 20.500.11770/306706 , 11572/318659 , 11390/1187851 , 2108/275805 , 11590/388717 , 11573/1494293 , 11367/95174 , 11567/1034593 , 11568/1075979 , 11587/439702 , 11585/783052 , 11343/252094 , 11571/1370850 , 1959.3/463769
AbstractThe inclusive top quark pair ($$t\bar{t}$$ t t ¯ ) production cross-section $$\sigma _{t\bar{t}}$$ σ t t ¯ has been measured in proton–proton collisions at $$\sqrt{s}=13\,\text {TeV}$$ s = 13 TeV , using 36.1 fb$$^{-1}$$ - 1 of data collected in 2015–2016 by the ATLAS experiment at the LHC. Using events with an opposite-charge $$e\mu $$ e μ pair and b-tagged jets, the cross-section is measured to be: $$\begin{aligned} \sigma _{t\bar{t}} = 826.4 \pm 3.6\,\mathrm {(stat)}\ \pm 11.5\,\mathrm {(syst)}\ \pm 15.7\,\mathrm {(lumi)}\ \pm 1.9\,\mathrm {(beam)}\,\mathrm {pb}, \end{aligned}$$ σ t t ¯ = 826.4 ± 3.6 ( stat ) ± 11.5 ( syst ) ± 15.7 ( lumi ) ± 1.9 ( beam ) pb , where the uncertainties reflect the limited size of the data sample, experimental and theoretical systematic effects, the integrated luminosity, and the LHC beam energy, giving a total uncertainty of 2.4%. The result is consistent with theoretical QCD calculations at next-to-next-to-leading order. It is used to determine the top quark pole mass via the dependence of the predicted cross-section on $$m_t^{\mathrm{pole}}$$ m t pole , giving $$m_t^{\mathrm{pole}}=173.1^{+2.0}_{-2.1}\,\text {GeV}$$ m t pole = 173 . 1 - 2.1 + 2.0 GeV . It is also combined with measurements at $$\sqrt{s}=7\,\text {TeV}$$ s = 7 TeV and $$\sqrt{s}=8\,\text {TeV}$$ s = 8 TeV to derive ratios and double ratios of $$t\bar{t}$$ t t ¯ and Z cross-sections at different energies. The same event sample is used to measure absolute and normalised differential cross-sections as functions of single-lepton and dilepton kinematic variables, and the results are compared with predictions from various Monte Carlo event generators.
Access RoutesGreen gold add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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gold 10 citations 10 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/su14095467&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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