Sarabia Escrivà, Emilio José; Sarabia Escrivà, Emilio José
Harvested from ORCID Public Data FileSarabia Escrivà, Emilio José in OpenAIRE Soto Francés, Víctor Manuel; Soto Francés, Víctor Manuel
Harvested from ORCID Public Data FileSoto Francés, Víctor Manuel in OpenAIRE Pinazo Ojer, José Manuel; Acha, Salvador;Pinazo Ojer, José Manuel
Harvested from ORCID Public Data FilePinazo Ojer, José Manuel in OpenAIRE[EN] The objective of this article is to compare the behaviour of the most representative domestic hot water systems (DHW) in single-family buildings. The study evaluates the energy consumption, equivalent CO2 emissions and cost for each system over a 15-year life period. This analysis is carried out in four cli- matic zones across Europe to observe the influence of climatic conditions on the results. The four climatic zones are located in the cities of Athens, Madrid, London and Berlin. The analysed systems are: a) natural gas-fired instantaneous water heaters, b) electric storage water heater, c) solar thermal system with gas- fired instantaneous, d) solar thermal system with electric storage water heater, e) air-source heat pump, f) photovoltaic system with electric storage water heater, and g) photovoltaic system with air-source heat pump. This range of technologies covers the most likely solutions to be implemented across domestic buildings in Europe.The heat pump system (HPWH) with PV considering self-consumption shows the lowest environmen- tal impact in all zones, but is not an attractive investment in the coldest zones due to lower natural gas prices. Thermal solar systems have a high purchase and maintenance costs which do not compensate their energy savings. The PV HPWH system has a greater reduction of emissions and a lower cost than HPWH across a 15-year life. The gas boiler system has the lowest cost in a 15-year period in the coldest areas, despite having a greater environmental impact than the heat pump.(c) 2023 Elsevier B.V. All rights reserved.
Access RoutesGreen 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.2023.112925&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Sarabia Escrivà, Emilio José;
Sarabia Escrivà, Emilio José
Harvested from ORCID Public Data FileSarabia Escrivà, Emilio José in OpenAIRE Soto Francés, Víctor Manuel; Soto Francés, Víctor Manuel
Harvested from ORCID Public Data FileSoto Francés, Víctor Manuel in OpenAIRE Pinazo Ojer, José Manuel; Acha, Salvador;Pinazo Ojer, José Manuel
Harvested from ORCID Public Data FilePinazo Ojer, José Manuel in OpenAIRE[EN] The objective of this article is to compare the behaviour of the most representative domestic hot water systems (DHW) in single-family buildings. The study evaluates the energy consumption, equivalent CO2 emissions and cost for each system over a 15-year life period. This analysis is carried out in four cli- matic zones across Europe to observe the influence of climatic conditions on the results. The four climatic zones are located in the cities of Athens, Madrid, London and Berlin. The analysed systems are: a) natural gas-fired instantaneous water heaters, b) electric storage water heater, c) solar thermal system with gas- fired instantaneous, d) solar thermal system with electric storage water heater, e) air-source heat pump, f) photovoltaic system with electric storage water heater, and g) photovoltaic system with air-source heat pump. This range of technologies covers the most likely solutions to be implemented across domestic buildings in Europe.The heat pump system (HPWH) with PV considering self-consumption shows the lowest environmen- tal impact in all zones, but is not an attractive investment in the coldest zones due to lower natural gas prices. Thermal solar systems have a high purchase and maintenance costs which do not compensate their energy savings. The PV HPWH system has a greater reduction of emissions and a lower cost than HPWH across a 15-year life. The gas boiler system has the lowest cost in a 15-year period in the coldest areas, despite having a greater environmental impact than the heat pump.(c) 2023 Elsevier B.V. All rights reserved.
Access RoutesGreen 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.2023.112925&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Ouyang, J.;
Ouyang, J.
Harvested from ORCID Public Data FileOuyang, J. in OpenAIRE Mativenga, P.; Goffin, N.; Liu, W.; +5 AuthorsMativenga, P.
Harvested from ORCID Public Data FileMativenga, P. in OpenAIRE Ouyang, J.; Ouyang, J.
Harvested from ORCID Public Data FileOuyang, J. in OpenAIRE Mativenga, P.; Goffin, N.; Liu, W.; Liu, Z.; Mirhosseini, N.;Mativenga, P.
Harvested from ORCID Public Data FileMativenga, P. in OpenAIRE Jones, L.; Woolley, E.; Li, L.;Selective removal of coatings by lasers can facilitate the reuse of coated tools in a circular economy. In order to optimise and control the process, it is essential to study the impact of process input variables on process performance. In this paper, coating removal from tooling was carried out using a picosecond a pulsed fibre laser, in order to investigate the effects of laser pulse energy, pulse frequency, galvo scanning speed and scanning track stepover. A fractional factorial design of experiments and analysis of variance was used to optimise the process; considering cleaning rate, specific energy consumption and surface integrity as assessed by changes in surface roughness and composition of the tooling after laser cleaning. The results shows synergy between cleaning rate and specific energy with the laser pulse frequency and galvo scanning speed as the two most significant factors, while the laser pulse energy had the greatest contribution to changes in surface composition. Based on extensive experiments, the relationship between processing rate and system specific energy consumption was mathematically modelled. The paper contributes a new specific energy model for laser cleaning and provides a benchmark of the process energy requirements compared to other manufacturing processes. Additionally, the generic scientific learning from this is that the rate of energy input is a key tool for maximising cleaning rate and minimising specific energy requirements, while the intensity of energy applied, is a key metric that influences surface integrity. More complex factors, influence the surface integrity.
Access RoutesGreen 17 citations 17 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.cirpj.2022.02.001&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Ouyang, J.;
Ouyang, J.
Harvested from ORCID Public Data FileOuyang, J. in OpenAIRE Mativenga, P.; Goffin, N.; Liu, W.; +5 AuthorsMativenga, P.
Harvested from ORCID Public Data FileMativenga, P. in OpenAIRE Ouyang, J.; Ouyang, J.
Harvested from ORCID Public Data FileOuyang, J. in OpenAIRE Mativenga, P.; Goffin, N.; Liu, W.; Liu, Z.; Mirhosseini, N.;Mativenga, P.
Harvested from ORCID Public Data FileMativenga, P. in OpenAIRE Jones, L.; Woolley, E.; Li, L.;Selective removal of coatings by lasers can facilitate the reuse of coated tools in a circular economy. In order to optimise and control the process, it is essential to study the impact of process input variables on process performance. In this paper, coating removal from tooling was carried out using a picosecond a pulsed fibre laser, in order to investigate the effects of laser pulse energy, pulse frequency, galvo scanning speed and scanning track stepover. A fractional factorial design of experiments and analysis of variance was used to optimise the process; considering cleaning rate, specific energy consumption and surface integrity as assessed by changes in surface roughness and composition of the tooling after laser cleaning. The results shows synergy between cleaning rate and specific energy with the laser pulse frequency and galvo scanning speed as the two most significant factors, while the laser pulse energy had the greatest contribution to changes in surface composition. Based on extensive experiments, the relationship between processing rate and system specific energy consumption was mathematically modelled. The paper contributes a new specific energy model for laser cleaning and provides a benchmark of the process energy requirements compared to other manufacturing processes. Additionally, the generic scientific learning from this is that the rate of energy input is a key tool for maximising cleaning rate and minimising specific energy requirements, while the intensity of energy applied, is a key metric that influences surface integrity. More complex factors, influence the surface integrity.
Access RoutesGreen 17 citations 17 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.cirpj.2022.02.001&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 
Jiahao Wang; Jiahao Wang
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJiahao Wang in OpenAIRE Marco A.B. Zanoni; Marco A.B. Zanoni
Harvested from ORCID Public Data FileMarco A.B. Zanoni in OpenAIRE Tarek L. Rashwan; Tarek L. Rashwan
Harvested from ORCID Public Data FileTarek L. Rashwan in OpenAIRE José L. Torero; +1 AuthorsJosé L. Torero
Harvested from ORCID Public Data FileJosé L. Torero in OpenAIRE Jiahao Wang; Jiahao Wang
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJiahao Wang in OpenAIRE Marco A.B. Zanoni; Marco A.B. Zanoni
Harvested from ORCID Public Data FileMarco A.B. Zanoni in OpenAIRE Tarek L. Rashwan; Tarek L. Rashwan
Harvested from ORCID Public Data FileTarek L. Rashwan in OpenAIRE José L. Torero; Jason I. Gerhard;José L. Torero
Harvested from ORCID Public Data FileJosé L. Torero in OpenAIREAccess RoutesGreen 0 citations 0 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=10.1016/j.proci.2024.105234&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Jiahao Wang;
Jiahao Wang
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJiahao Wang in OpenAIRE Marco A.B. Zanoni; Marco A.B. Zanoni
Harvested from ORCID Public Data FileMarco A.B. Zanoni in OpenAIRE Tarek L. Rashwan; Tarek L. Rashwan
Harvested from ORCID Public Data FileTarek L. Rashwan in OpenAIRE José L. Torero; +1 AuthorsJosé L. Torero
Harvested from ORCID Public Data FileJosé L. Torero in OpenAIRE Jiahao Wang; Jiahao Wang
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJiahao Wang in OpenAIRE Marco A.B. Zanoni; Marco A.B. Zanoni
Harvested from ORCID Public Data FileMarco A.B. Zanoni in OpenAIRE Tarek L. Rashwan; Tarek L. Rashwan
Harvested from ORCID Public Data FileTarek L. Rashwan in OpenAIRE José L. Torero; Jason I. Gerhard;José L. Torero
Harvested from ORCID Public Data FileJosé L. Torero in OpenAIREAccess RoutesGreen 0 citations 0 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=10.1016/j.proci.2024.105234&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Wei Li;
Wei Li
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWei Li in OpenAIRE Junfei Qiao; Junfei Qiao
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJunfei Qiao in OpenAIRE Xiao-Jun Zeng; Xiao-Jun Zeng
Harvested from ORCID Public Data FileXiao-Jun Zeng in OpenAIREThis paper proposes a novel online and self-learning algorithm to the identification of fuzzy neural networks, which not only learns the structure and parameters online but also learns the threshold parameters by itself and automatically. For structure learning, a self-constructing approach including adding neurons and merging highly similar fuzzy rules is proposed based on the criteria of the system error between actual and model output and the maximum firing strength of neurons. In order to achieve the efficient merging computing, a new calculation method of similarity degree between fuzzy rules is developed. Further and more importantly, the varying width of Gaussian membership functions can be learned by itself according to the underfitting and overfitting criteria. Similarly, different from the existing constant threshold of similarity degree for merging, the varying threshold of similarity degree can be self-learned according to the real-time accuracy of model. The proposed self-learning mechanism significantly improves the model accuracy and greatly enhances the easy usability. Several benchmark examples are implemented to illustrate the effectiveness and feasible of the proposed approach.
Access RoutesGreen 14 citations 14 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=10.1109/tfuzz.2020.3043670&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Wei Li;
Wei Li
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWei Li in OpenAIRE Junfei Qiao; Junfei Qiao
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJunfei Qiao in OpenAIRE Xiao-Jun Zeng; Xiao-Jun Zeng
Harvested from ORCID Public Data FileXiao-Jun Zeng in OpenAIREThis paper proposes a novel online and self-learning algorithm to the identification of fuzzy neural networks, which not only learns the structure and parameters online but also learns the threshold parameters by itself and automatically. For structure learning, a self-constructing approach including adding neurons and merging highly similar fuzzy rules is proposed based on the criteria of the system error between actual and model output and the maximum firing strength of neurons. In order to achieve the efficient merging computing, a new calculation method of similarity degree between fuzzy rules is developed. Further and more importantly, the varying width of Gaussian membership functions can be learned by itself according to the underfitting and overfitting criteria. Similarly, different from the existing constant threshold of similarity degree for merging, the varying threshold of similarity degree can be self-learned according to the real-time accuracy of model. The proposed self-learning mechanism significantly improves the model accuracy and greatly enhances the easy usability. Several benchmark examples are implemented to illustrate the effectiveness and feasible of the proposed approach.
Access RoutesGreen 14 citations 14 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=10.1109/tfuzz.2020.3043670&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green 0 citations 0 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=10.17863/cam.112842&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green 0 citations 0 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=10.17863/cam.112842&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green 0 citations 0 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=10.17863/cam.102122&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green 0 citations 0 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=10.17863/cam.102122&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Bhattacharjee, Subhajit;
Bhattacharjee, Subhajit
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBhattacharjee, Subhajit in OpenAIREThe aggravating global problems of energy crisis, rising atmospheric greenhouse gas concentrations and accumulation of persistent waste have attracted the attention of scientists, policy-makers and global organisations to come up with effective and expeditious solutions to address these challenges. In this context, the development of sustainable technologies driven by renewable energy sources for the production of clean fuels and commodity chemicals from diverse waste feedstocks is an appealing approach towards creating a circular economy. Over the years, semiconductor photocatalysts based on TiO₂, CdS, carbon-nitrides (CNx) and carbon dots (CDs) have been widely used for the photocatalytic reforming (PC reforming) of pre-treated waste substrates to organic products, accompanied with clean hydrogen (H₂) generation. However, these conventional solar-driven processes suffer from major drawbacks such as low production rates, poor product selectivity, CO₂ release, challenging process and catalyst optimisation, and harsh waste pre-treatment conditions, which limit their commercial applicability. These challenges are tackled in this thesis with the introduction of new and efficient photoelectrochemical (PEC) and chemoenzymatic processes for reforming a diverse range of waste feedstocks to sustainable fuels. Solar-driven PEC reforming based on halide perovskite light-absorber is first developed as an attractive alternative to PC reforming. The PEC systems consist of a perovskite|Pt photocathode for clean H₂ production and a Cu-Pd alloy anode for reforming diverse waste streams, including pre-treated cellulosic biomass, polyethylene terephthalate (PET) plastics, and industrial by-product glycerol into industrially-relevant, value-added chemicals (gluconic acid, glycolic acid and glyceric acid) without any externally applied bias or voltage. Additionally, the single light-absorber PEC systems can also convert the airborne waste stream and greenhouse gas CO₂ to diverse products with the simultaneous reforming of PET plastics with no applied voltage. The perovskite-based photocathode enables the integration of different CO₂ reduction catalysts such as a molecular cobalt porphyrin, a Cu-In alloy and formate dehydrogenase enzyme, which produce CO, syngas and formate, respectively. The versatile PEC systems, which can be assembled in either a ‘two-compartment’ or standalone ‘artificial leaf’ configurations achieve 60‒90% oxidation product selectivity (with no over-oxidation) and >100 µmol cm‾² h‾¹ product formation rates, corresponding to 10²‒10⁴ times higher activity than conventional PC reforming systems. In addition to developing PEC platforms, this thesis also explores avenues for circumventing the harsh alkaline pre-treatment strategies (pH >13, 60‒80 ºC) adopted for photoreforming waste substrates. For this purpose, a chemoenzymatic pathway is introduced whereby PET and polycaprolactone plastics were deconstructed using functional enzymes under benign conditions (pH 6‒8, 37‒65 ºC), followed by PC reforming using Pt loaded TiO₂ (TiO₂|Pt) or Ni₂P loaded carbon-nitride (CNx|Ni₂P) photocatalysts. The chemoenzymatic reforming process demonstrates versatility in upcycling polyester films and nanoplastics for H₂ production at high yields reaching ∼10³‒10⁴ µmol gsub‾¹ and activities at >500 µmol gcat‾¹ h‾¹. The utilisation of enzyme pre-treated plastics also allowed the coupling of plastic reforming with photocatalytic CO₂-to-syngas conversion using a phosphonated cobalt bis(terpyridine) co-catalyst immobilised on TiO₂ (TiO₂|CotpyP). Finally, moving beyond solar-driven systems, a bio-electrocatalytic flow process is demonstrated for the conversion of microbe pre-treated food waste to ethylene (an important feedstock in the chemical industry) on graphitic carbon electrodes via succinic acid as the central intermediate. In conclusion, with its focus on improving efficiencies, achieving selective product formation, building versatile platforms, diversifying substrate and product scope, and reducing carbon footprint and economic strain, this thesis aims to bring sustainable waste-to-fuel technologies a step closer to commercial implementation.
Access RoutesGreen 0 citations 0 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=10.17863/cam.99818&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Bhattacharjee, Subhajit;
Bhattacharjee, Subhajit
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBhattacharjee, Subhajit in OpenAIREThe aggravating global problems of energy crisis, rising atmospheric greenhouse gas concentrations and accumulation of persistent waste have attracted the attention of scientists, policy-makers and global organisations to come up with effective and expeditious solutions to address these challenges. In this context, the development of sustainable technologies driven by renewable energy sources for the production of clean fuels and commodity chemicals from diverse waste feedstocks is an appealing approach towards creating a circular economy. Over the years, semiconductor photocatalysts based on TiO₂, CdS, carbon-nitrides (CNx) and carbon dots (CDs) have been widely used for the photocatalytic reforming (PC reforming) of pre-treated waste substrates to organic products, accompanied with clean hydrogen (H₂) generation. However, these conventional solar-driven processes suffer from major drawbacks such as low production rates, poor product selectivity, CO₂ release, challenging process and catalyst optimisation, and harsh waste pre-treatment conditions, which limit their commercial applicability. These challenges are tackled in this thesis with the introduction of new and efficient photoelectrochemical (PEC) and chemoenzymatic processes for reforming a diverse range of waste feedstocks to sustainable fuels. Solar-driven PEC reforming based on halide perovskite light-absorber is first developed as an attractive alternative to PC reforming. The PEC systems consist of a perovskite|Pt photocathode for clean H₂ production and a Cu-Pd alloy anode for reforming diverse waste streams, including pre-treated cellulosic biomass, polyethylene terephthalate (PET) plastics, and industrial by-product glycerol into industrially-relevant, value-added chemicals (gluconic acid, glycolic acid and glyceric acid) without any externally applied bias or voltage. Additionally, the single light-absorber PEC systems can also convert the airborne waste stream and greenhouse gas CO₂ to diverse products with the simultaneous reforming of PET plastics with no applied voltage. The perovskite-based photocathode enables the integration of different CO₂ reduction catalysts such as a molecular cobalt porphyrin, a Cu-In alloy and formate dehydrogenase enzyme, which produce CO, syngas and formate, respectively. The versatile PEC systems, which can be assembled in either a ‘two-compartment’ or standalone ‘artificial leaf’ configurations achieve 60‒90% oxidation product selectivity (with no over-oxidation) and >100 µmol cm‾² h‾¹ product formation rates, corresponding to 10²‒10⁴ times higher activity than conventional PC reforming systems. In addition to developing PEC platforms, this thesis also explores avenues for circumventing the harsh alkaline pre-treatment strategies (pH >13, 60‒80 ºC) adopted for photoreforming waste substrates. For this purpose, a chemoenzymatic pathway is introduced whereby PET and polycaprolactone plastics were deconstructed using functional enzymes under benign conditions (pH 6‒8, 37‒65 ºC), followed by PC reforming using Pt loaded TiO₂ (TiO₂|Pt) or Ni₂P loaded carbon-nitride (CNx|Ni₂P) photocatalysts. The chemoenzymatic reforming process demonstrates versatility in upcycling polyester films and nanoplastics for H₂ production at high yields reaching ∼10³‒10⁴ µmol gsub‾¹ and activities at >500 µmol gcat‾¹ h‾¹. The utilisation of enzyme pre-treated plastics also allowed the coupling of plastic reforming with photocatalytic CO₂-to-syngas conversion using a phosphonated cobalt bis(terpyridine) co-catalyst immobilised on TiO₂ (TiO₂|CotpyP). Finally, moving beyond solar-driven systems, a bio-electrocatalytic flow process is demonstrated for the conversion of microbe pre-treated food waste to ethylene (an important feedstock in the chemical industry) on graphitic carbon electrodes via succinic acid as the central intermediate. In conclusion, with its focus on improving efficiencies, achieving selective product formation, building versatile platforms, diversifying substrate and product scope, and reducing carbon footprint and economic strain, this thesis aims to bring sustainable waste-to-fuel technologies a step closer to commercial implementation.
Access RoutesGreen 0 citations 0 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=10.17863/cam.99818&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - He, Yong; Xiong, Wei; Hu, Pengcheng; Huang, Daiqing; +9 Authors
Hu, Pengcheng
Harvested from ORCID Public Data FileHu, Pengcheng in OpenAIREHe, Yong; Xiong, Wei; Hu, Pengcheng; Huang, Daiqing; Feurtado, J. Allan; Zhang, Tianyi; Hao, Chenyang; DePauw, Ron;Hu, Pengcheng
Harvested from ORCID Public Data FileHu, Pengcheng in OpenAIRE Zheng, Bangyou; Hoogenboom, Gerrit; Dixon, Laura E.; Wang, Hong; Challinor, Andrew Juan;Zheng, Bangyou
Harvested from ORCID Public Data FileZheng, Bangyou in OpenAIREThe stability of winter wheat-flowering-date is crucial for ensuring consistent and robust crop performance across diverse climatic conditions. However, the impact of climate change on wheat-flowering-dates remains uncertain. This study aims to elucidate the influence of climate change on wheat-flowering-dates, predict how projected future climate conditions will affect flowering date stability, and identify the most stable wheat genotypes in the study region. We applied a multi-locus genotype-based (MLG-based) model for simulating wheat-flowering-dates, which we calibrated and evaluated using observed data from the Northern China winter wheat region (NCWWR). This MLG-based model was employed to project flowering dates under different climate scenarios. The simulated flowering dates were then used to assess the stability of flowering dates under varying allelic combinations in projected climatic conditions. Our MLG-based model effectively simulated flowering dates, with a root mean square error (RMSE) of 2.3 days, explaining approximately 88.5 % of the genotypic variation in flowering dates among 100 wheat genotypes. We found that, in comparison to the baseline climate, wheat-flowering-dates are expected to shift earlier within the target sowing window by approximately 11 and 14 days by 2050 under the Representative Concentration Pathways 4.5 (RCP4.5) and RCP8.5 climate scenarios, respectively. Furthermore, our analysis revealed that wheat-flowering-date stability is likely to be further strengthened under projected climate scenarios due to early flowering trends. Ultimately, we demonstrate that the combination of Vrn and Ppd genes, rather than individual Vrn or Ppd genes, plays a critical role in wheat-flowering-date stability. Our results suggest that the combination of Ppd-D1a with winter genotypes carrying the vrn-D1 allele significantly contributes to flowering date stability under current and projected climate scenarios. These findings provide valuable insights for wheat breeders and producers under future climatic conditions.
Access RoutesGreen 3 citations 3 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=10.1016/j.scitotenv.2024.170305&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - He, Yong; Xiong, Wei; Hu, Pengcheng; Huang, Daiqing; +9 Authors
Hu, Pengcheng
Harvested from ORCID Public Data FileHu, Pengcheng in OpenAIREHe, Yong; Xiong, Wei; Hu, Pengcheng; Huang, Daiqing; Feurtado, J. Allan; Zhang, Tianyi; Hao, Chenyang; DePauw, Ron;Hu, Pengcheng
Harvested from ORCID Public Data FileHu, Pengcheng in OpenAIRE Zheng, Bangyou; Hoogenboom, Gerrit; Dixon, Laura E.; Wang, Hong; Challinor, Andrew Juan;Zheng, Bangyou
Harvested from ORCID Public Data FileZheng, Bangyou in OpenAIREThe stability of winter wheat-flowering-date is crucial for ensuring consistent and robust crop performance across diverse climatic conditions. However, the impact of climate change on wheat-flowering-dates remains uncertain. This study aims to elucidate the influence of climate change on wheat-flowering-dates, predict how projected future climate conditions will affect flowering date stability, and identify the most stable wheat genotypes in the study region. We applied a multi-locus genotype-based (MLG-based) model for simulating wheat-flowering-dates, which we calibrated and evaluated using observed data from the Northern China winter wheat region (NCWWR). This MLG-based model was employed to project flowering dates under different climate scenarios. The simulated flowering dates were then used to assess the stability of flowering dates under varying allelic combinations in projected climatic conditions. Our MLG-based model effectively simulated flowering dates, with a root mean square error (RMSE) of 2.3 days, explaining approximately 88.5 % of the genotypic variation in flowering dates among 100 wheat genotypes. We found that, in comparison to the baseline climate, wheat-flowering-dates are expected to shift earlier within the target sowing window by approximately 11 and 14 days by 2050 under the Representative Concentration Pathways 4.5 (RCP4.5) and RCP8.5 climate scenarios, respectively. Furthermore, our analysis revealed that wheat-flowering-date stability is likely to be further strengthened under projected climate scenarios due to early flowering trends. Ultimately, we demonstrate that the combination of Vrn and Ppd genes, rather than individual Vrn or Ppd genes, plays a critical role in wheat-flowering-date stability. Our results suggest that the combination of Ppd-D1a with winter genotypes carrying the vrn-D1 allele significantly contributes to flowering date stability under current and projected climate scenarios. These findings provide valuable insights for wheat breeders and producers under future climatic conditions.
Access RoutesGreen 3 citations 3 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=10.1016/j.scitotenv.2024.170305&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| CONSTRAINSofia Gonzales-Zuñiga; Claire Fyson;
Claire Fyson
Harvested from ORCID Public Data FileClaire Fyson in OpenAIRE Andreas Geiges; Silke Mooldijk; +8 AuthorsAndreas Geiges
Harvested from ORCID Public Data FileAndreas Geiges in OpenAIRESofia Gonzales-Zuñiga; Claire Fyson; Claire Fyson
Harvested from ORCID Public Data FileClaire Fyson in OpenAIRE Andreas Geiges; Silke Mooldijk;Andreas Geiges
Harvested from ORCID Public Data FileAndreas Geiges in OpenAIRE Matthew Gidden; Matthew Gidden
Harvested from ORCID Public Data FileMatthew Gidden in OpenAIRE Mairi Louise Jeffery; Mairi Louise Jeffery
Harvested from ORCID Public Data FileMairi Louise Jeffery in OpenAIRE Michel G.J. den Elzen; Michel G.J. den Elzen
Harvested from ORCID Public Data FileMichel G.J. den Elzen in OpenAIRE Niklas Höhne; Niklas Höhne
Harvested from ORCID Public Data FileNiklas Höhne in OpenAIRE Joeri Rogelj; Joeri Rogelj;Joeri Rogelj
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJoeri Rogelj in OpenAIRE Frederic Hans; William Hare;Frederic Hans
Harvested from ORCID Public Data FileFrederic Hans in OpenAIRENational net zero emission targets could, if fully implemented, reduce best estimates of projected global average temperature increase to 2.0–2.4 °C by 2100, bringing the Paris Agreement temperature goal within reach. A total of 131 countries are discussing, have announced or have adopted net zero targets, covering 72% of global emissions. These targets could substantially lower projected warming as compared to currently implemented policies (2.9–3.2 °C) or pledges submitted to the Paris Agreement (2.4–2.9 °C). Current pledges for emissions cuts are insufficient to meet the Paris Agreement temperature goal. The wave of net zero targets being discussed and adopted could make the Paris goal possible if further countries follow suit.
Access RoutesGreen 170 citations 170 popularity Top 1% influence Top 10% impulse Top 0.1% 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=10.1038/s41558-021-01142-2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| CONSTRAINSofia Gonzales-Zuñiga; Claire Fyson;
Claire Fyson
Harvested from ORCID Public Data FileClaire Fyson in OpenAIRE Andreas Geiges; Silke Mooldijk; +8 AuthorsAndreas Geiges
Harvested from ORCID Public Data FileAndreas Geiges in OpenAIRESofia Gonzales-Zuñiga; Claire Fyson; Claire Fyson
Harvested from ORCID Public Data FileClaire Fyson in OpenAIRE Andreas Geiges; Silke Mooldijk;Andreas Geiges
Harvested from ORCID Public Data FileAndreas Geiges in OpenAIRE Matthew Gidden; Matthew Gidden
Harvested from ORCID Public Data FileMatthew Gidden in OpenAIRE Mairi Louise Jeffery; Mairi Louise Jeffery
Harvested from ORCID Public Data FileMairi Louise Jeffery in OpenAIRE Michel G.J. den Elzen; Michel G.J. den Elzen
Harvested from ORCID Public Data FileMichel G.J. den Elzen in OpenAIRE Niklas Höhne; Niklas Höhne
Harvested from ORCID Public Data FileNiklas Höhne in OpenAIRE Joeri Rogelj; Joeri Rogelj;Joeri Rogelj
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJoeri Rogelj in OpenAIRE Frederic Hans; William Hare;Frederic Hans
Harvested from ORCID Public Data FileFrederic Hans in OpenAIRENational net zero emission targets could, if fully implemented, reduce best estimates of projected global average temperature increase to 2.0–2.4 °C by 2100, bringing the Paris Agreement temperature goal within reach. A total of 131 countries are discussing, have announced or have adopted net zero targets, covering 72% of global emissions. These targets could substantially lower projected warming as compared to currently implemented policies (2.9–3.2 °C) or pledges submitted to the Paris Agreement (2.4–2.9 °C). Current pledges for emissions cuts are insufficient to meet the Paris Agreement temperature goal. The wave of net zero targets being discussed and adopted could make the Paris goal possible if further countries follow suit.
Access RoutesGreen 170 citations 170 popularity Top 1% influence Top 10% impulse Top 0.1% 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=10.1038/s41558-021-01142-2&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green 17 citations 17 popularity Average 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.apenergy.2024.123226&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green 17 citations 17 popularity Average 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.apenergy.2024.123226&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
- 1
- 2
- 3
- 4
- 5
