van Beveren, P.J.M.; van Beveren, P.J.M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Beveren, P.J.M. in OpenAIRE
Bontsema, J.; Bontsema, J.
Harvested from ORCID Public Data FileBontsema, J. in OpenAIRE van Straten, G.; van Straten, G.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Straten, G. in OpenAIRE van Henten, E.J.; van Henten, E.J.
Harvested from ORCID Public Data Filevan Henten, E.J. in OpenAIRESaving energy in greenhouses is an important issue for growers. Here, we present a method to minimize the total energy that is required to heat and cool a greenhouse. Using this method, the grower can define bounds for temperature, humidity, CO2 concentration, and the maximum amount of CO2 available. Given these settings, optimal control techniques can be used to minimize energy input. To do this, an existing greenhouse climate model for temperature and humidity was expanded to include a CO2 balance. Heating, cooling, the amount of natural ventilation, and the injection of industrial CO2 were used as control variables.Standard optimization settings were defined in order to compare the grower's strategy with the optimal solution. This optimization resulted in a theoretical 47% reduction in heating, 15% reduction in cooling, and 10% reduction in CO2 injection for the year 2012. The optimal control does not need to maintain a minimum pipe temperature, in contrast to current practice. When the minimum pipe temperature strategy of the grower was implemented, heating and CO2 were reduced by 28% and 10% respectively.We also analyzed the effect of different bounds on optimal energy input. We found that as more freedom is given to the climate variables, the higher the potential energy savings. However, in practice the grower is in charge of defining the bounds. Thus, the potential energy savings critically depend on the choice of these bounds. This effect was analyzed by varying the bounds. However, because the effect can be demonstrated to the grower, the outcome has value to the grower with respect to decision making, an option that is not currently available in practice today.
117 citations 117 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.apenergy.2015.09.012&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- van Beveren, P.J.M.;
van Beveren, P.J.M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Beveren, P.J.M. in OpenAIRE Bontsema, J.; Bontsema, J.
Harvested from ORCID Public Data FileBontsema, J. in OpenAIRE van Straten, G.; van Straten, G.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Straten, G. in OpenAIRE van Henten, E.J.; van Henten, E.J.
Harvested from ORCID Public Data Filevan Henten, E.J. in OpenAIRESaving energy in greenhouses is an important issue for growers. Here, we present a method to minimize the total energy that is required to heat and cool a greenhouse. Using this method, the grower can define bounds for temperature, humidity, CO2 concentration, and the maximum amount of CO2 available. Given these settings, optimal control techniques can be used to minimize energy input. To do this, an existing greenhouse climate model for temperature and humidity was expanded to include a CO2 balance. Heating, cooling, the amount of natural ventilation, and the injection of industrial CO2 were used as control variables.Standard optimization settings were defined in order to compare the grower's strategy with the optimal solution. This optimization resulted in a theoretical 47% reduction in heating, 15% reduction in cooling, and 10% reduction in CO2 injection for the year 2012. The optimal control does not need to maintain a minimum pipe temperature, in contrast to current practice. When the minimum pipe temperature strategy of the grower was implemented, heating and CO2 were reduced by 28% and 10% respectively.We also analyzed the effect of different bounds on optimal energy input. We found that as more freedom is given to the climate variables, the higher the potential energy savings. However, in practice the grower is in charge of defining the bounds. Thus, the potential energy savings critically depend on the choice of these bounds. This effect was analyzed by varying the bounds. However, because the effect can be demonstrated to the grower, the outcome has value to the grower with respect to decision making, an option that is not currently available in practice today.
117 citations 117 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.apenergy.2015.09.012&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Gabriele Di Blasio;
Gabriele Di Blasio
Harvested from ORCID Public Data FileGabriele Di Blasio in OpenAIRE Carlo Beatrice; Carlo Beatrice
Harvested from ORCID Public Data FileCarlo Beatrice in OpenAIRE Roberto Ianniello; Francesco Concetto Pesce; +3 AuthorsRoberto Ianniello
Harvested from ORCID Public Data FileRoberto Ianniello in OpenAIRE Gabriele Di Blasio; Gabriele Di Blasio
Harvested from ORCID Public Data FileGabriele Di Blasio in OpenAIRE Carlo Beatrice; Carlo Beatrice
Harvested from ORCID Public Data FileCarlo Beatrice in OpenAIRE Roberto Ianniello; Francesco Concetto Pesce; Alberto Vassallo; Giacomo Belgiorno; Giovanni Avolio;Roberto Ianniello
Harvested from ORCID Public Data FileRoberto Ianniello in OpenAIRE<div class="section abstract"><div class="htmlview paragraph">The introduction of new light-duty vehicle emission limits to comply under real driving conditions (RDE) is pushing the diesel engine manufacturers to identify and improve the technologies and strategies for further emission reduction. The latest technology advancements on the after-treatment systems have permitted to achieve very low emission conformity factors over the RDE, and therefore, the biggest challenge of the diesel engine development is maintaining its competitiveness in the trade-off “CO<sub>2</sub>-system cost” in comparison to other propulsion systems. In this regard, diesel engines can continue to play an important role, in the short-medium term, to enable cost-effective compliance of CO<sub>2</sub>-fleet emission targets, either in conventional or hybrid propulsion systems configuration. This is especially true for large-size cars, SUVs and light commercial vehicles.</div><div class="htmlview paragraph">In this framework, a comprehensive approach covering the whole powertrain is of primary importance in order to simultaneously meet the performance, efficiency, noise and emission targets, and therefore, further development of the combustion system design and injection system represent important levers for additional improvements. For this purpose, a dedicated 0.5 dm<sup>3</sup> single-cylinder engine has been developed and equipped with, a state-of-the-art Euro 6 combustion system, and an advanced common rail fuel injection system (FIS) offering higher flexibility in terms of injection strategy and higher quantity accuracy. Three injector nozzles with different hydraulic flow rates (HF) have been selected and employed for the overall combustion process optimization.</div><div class="htmlview paragraph">The optimization has been performed by means of an extensive DoE-based test campaign in which the engine and FIS operating parameters have been parametrized with the aim to carry out a proper combination in terms of HF and injection strategy. The results at partial load conditions evidence significant advantages in applying an advanced injection pattern, while the HF reduction can significantly improve the smoke emission and combustion noise without fuel consumption penalties. Therefore, a proper combination and optimization of the HF and injection strategy can provide low noise and engine-out smoke while maintaining the rated power performance targets.</div></div>
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=10.4271/2019-24-0111&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Gabriele Di Blasio;
Gabriele Di Blasio
Harvested from ORCID Public Data FileGabriele Di Blasio in OpenAIRE Carlo Beatrice; Carlo Beatrice
Harvested from ORCID Public Data FileCarlo Beatrice in OpenAIRE Roberto Ianniello; Francesco Concetto Pesce; +3 AuthorsRoberto Ianniello
Harvested from ORCID Public Data FileRoberto Ianniello in OpenAIRE Gabriele Di Blasio; Gabriele Di Blasio
Harvested from ORCID Public Data FileGabriele Di Blasio in OpenAIRE Carlo Beatrice; Carlo Beatrice
Harvested from ORCID Public Data FileCarlo Beatrice in OpenAIRE Roberto Ianniello; Francesco Concetto Pesce; Alberto Vassallo; Giacomo Belgiorno; Giovanni Avolio;Roberto Ianniello
Harvested from ORCID Public Data FileRoberto Ianniello in OpenAIRE<div class="section abstract"><div class="htmlview paragraph">The introduction of new light-duty vehicle emission limits to comply under real driving conditions (RDE) is pushing the diesel engine manufacturers to identify and improve the technologies and strategies for further emission reduction. The latest technology advancements on the after-treatment systems have permitted to achieve very low emission conformity factors over the RDE, and therefore, the biggest challenge of the diesel engine development is maintaining its competitiveness in the trade-off “CO<sub>2</sub>-system cost” in comparison to other propulsion systems. In this regard, diesel engines can continue to play an important role, in the short-medium term, to enable cost-effective compliance of CO<sub>2</sub>-fleet emission targets, either in conventional or hybrid propulsion systems configuration. This is especially true for large-size cars, SUVs and light commercial vehicles.</div><div class="htmlview paragraph">In this framework, a comprehensive approach covering the whole powertrain is of primary importance in order to simultaneously meet the performance, efficiency, noise and emission targets, and therefore, further development of the combustion system design and injection system represent important levers for additional improvements. For this purpose, a dedicated 0.5 dm<sup>3</sup> single-cylinder engine has been developed and equipped with, a state-of-the-art Euro 6 combustion system, and an advanced common rail fuel injection system (FIS) offering higher flexibility in terms of injection strategy and higher quantity accuracy. Three injector nozzles with different hydraulic flow rates (HF) have been selected and employed for the overall combustion process optimization.</div><div class="htmlview paragraph">The optimization has been performed by means of an extensive DoE-based test campaign in which the engine and FIS operating parameters have been parametrized with the aim to carry out a proper combination in terms of HF and injection strategy. The results at partial load conditions evidence significant advantages in applying an advanced injection pattern, while the HF reduction can significantly improve the smoke emission and combustion noise without fuel consumption penalties. Therefore, a proper combination and optimization of the HF and injection strategy can provide low noise and engine-out smoke while maintaining the rated power performance targets.</div></div>
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=10.4271/2019-24-0111&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - CATALIOTTI, Antonio;
CATALIOTTI, Antonio
Harvested from ORCID Public Data FileCATALIOTTI, Antonio in OpenAIRE COSENTINO, Valentina; COSENTINO, Valentina
Harvested from ORCID Public Data FileCOSENTINO, Valentina in OpenAIRE DI CARA, Dario; DI CARA, Dario
Harvested from ORCID Public Data FileDI CARA, Dario in OpenAIRE Tinè, G.; The aim of the paper is to study the influence of the power transformer on signal transmission in the case of a power line communication (PLC) system in a overhead Medium Voltage (MV) power network. A model of the PLC system was carried out by means of the Simulink® software. A distributed parameter MV overhead line, two power transformers, the signal coupling interface of a ST7540 FSK powerline transceiver were included in the model. The performances of the complete PLC communication system are evaluated for different line lengths by means of the attenuation computed as ratio between the received and transmitted voltage signals. © 2011 IEEE.
21 citations 21 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/amps.2011.6090429&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - CATALIOTTI, Antonio;
CATALIOTTI, Antonio
Harvested from ORCID Public Data FileCATALIOTTI, Antonio in OpenAIRE COSENTINO, Valentina; COSENTINO, Valentina
Harvested from ORCID Public Data FileCOSENTINO, Valentina in OpenAIRE DI CARA, Dario; DI CARA, Dario
Harvested from ORCID Public Data FileDI CARA, Dario in OpenAIRE Tinè, G.; The aim of the paper is to study the influence of the power transformer on signal transmission in the case of a power line communication (PLC) system in a overhead Medium Voltage (MV) power network. A model of the PLC system was carried out by means of the Simulink® software. A distributed parameter MV overhead line, two power transformers, the signal coupling interface of a ST7540 FSK powerline transceiver were included in the model. The performances of the complete PLC communication system are evaluated for different line lengths by means of the attenuation computed as ratio between the received and transmitted voltage signals. © 2011 IEEE.
21 citations 21 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/amps.2011.6090429&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 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=dedup_wf_002::7e313442a0cc76da6382afe6cff235a8&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 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=dedup_wf_002::7e313442a0cc76da6382afe6cff235a8&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Hao Wang; Junguo Liu;
Junguo Liu
Harvested from ORCID Public Data FileJunguo Liu in OpenAIRE Ganquan Mao; Ganquan Mao
Harvested from ORCID Public Data FileGanquan Mao in OpenAIRE Jinyue Yan; +7 AuthorsJinyue Yan
Harvested from ORCID Public Data FileJinyue Yan in OpenAIRE Hao Wang; Junguo Liu; Junguo Liu
Harvested from ORCID Public Data FileJunguo Liu in OpenAIRE Ganquan Mao; Ganquan Mao
Harvested from ORCID Public Data FileGanquan Mao in OpenAIRE Jinyue Yan; Jinyue Yan;Jinyue Yan
Harvested from ORCID Public Data FileJinyue Yan in OpenAIRE Chunmiao Zheng; Chunmiao Zheng
Harvested from ORCID Public Data FileChunmiao Zheng in OpenAIRE Arjen Ysbert Hoekstra; Arjen Ysbert Hoekstra
Harvested from ORCID Public Data FileArjen Ysbert Hoekstra in OpenAIRE Michelle T. H. van Vliet; Michelle T. H. van Vliet
Harvested from ORCID Public Data FileMichelle T. H. van Vliet in OpenAIRE Benjamin L. Ruddell; Jianhua Wang; May Wu;Benjamin L. Ruddell
Harvested from ORCID Public Data FileBenjamin L. Ruddell in OpenAIRE78 citations 78 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.apenergy.2017.10.064&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Hao Wang; Junguo Liu;
Junguo Liu
Harvested from ORCID Public Data FileJunguo Liu in OpenAIRE Ganquan Mao; Ganquan Mao
Harvested from ORCID Public Data FileGanquan Mao in OpenAIRE Jinyue Yan; +7 AuthorsJinyue Yan
Harvested from ORCID Public Data FileJinyue Yan in OpenAIRE Hao Wang; Junguo Liu; Junguo Liu
Harvested from ORCID Public Data FileJunguo Liu in OpenAIRE Ganquan Mao; Ganquan Mao
Harvested from ORCID Public Data FileGanquan Mao in OpenAIRE Jinyue Yan; Jinyue Yan;Jinyue Yan
Harvested from ORCID Public Data FileJinyue Yan in OpenAIRE Chunmiao Zheng; Chunmiao Zheng
Harvested from ORCID Public Data FileChunmiao Zheng in OpenAIRE Arjen Ysbert Hoekstra; Arjen Ysbert Hoekstra
Harvested from ORCID Public Data FileArjen Ysbert Hoekstra in OpenAIRE Michelle T. H. van Vliet; Michelle T. H. van Vliet
Harvested from ORCID Public Data FileMichelle T. H. van Vliet in OpenAIRE Benjamin L. Ruddell; Jianhua Wang; May Wu;Benjamin L. Ruddell
Harvested from ORCID Public Data FileBenjamin L. Ruddell in OpenAIRE78 citations 78 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.apenergy.2017.10.064&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 4 citations 4 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=10.1557/proc-293-361&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu4 citations 4 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=10.1557/proc-293-361&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- van Sprang, E.N.M.; Ramaker, H.J.; Westerhuis, J.A.;
Westerhuis, J.A.
Harvested from ORCID Public Data FileWesterhuis, J.A. in OpenAIRE Smilde, A.K.; +2 AuthorsSmilde, A.K.
Harvested from ORCID Public Data FileSmilde, A.K. in OpenAIREvan Sprang, E.N.M.; Ramaker, H.J.; Westerhuis, J.A.; Westerhuis, J.A.
Harvested from ORCID Public Data FileWesterhuis, J.A. in OpenAIRE Smilde, A.K.; Gurden, S.P.; Wienke, D.;Smilde, A.K.
Harvested from ORCID Public Data FileSmilde, A.K. in OpenAIREA good process understanding is the foundation for process optimization, process monitoring, end-point detection, and estimation of the end-product quality. Performing good process measurements and the construction of process models will contribute to a better process understanding. To improve the process knowledge it is common to build process models. These models are often based on first principles such as kinetic rates or mass balances. These types of models are also known as hard or white models. White models are characterized by being generally applicable but often having only a reasonable fit to real process data. Other commonly used types of models are empirical or black-box models such as regression and neural nets. Black-box models are characterized by having a good data fit but they lack a chemically meaningful model interpretation. Alternative models are grey models, which are combinations of white models and black models. The aim of a grey model is to combine the advantages of both black-box models and white models. In a qualitative case study of monitoring industrial batches using near-infrared (NIR) spectroscopy, it is shown that grey models are a good tool for detecting batch-to-batch variations and an excellent tool for process diagnosis compared to common spectroscopic monitoring tools.
14 citations 14 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=10.1366/000370203322258986&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - van Sprang, E.N.M.; Ramaker, H.J.; Westerhuis, J.A.;
Westerhuis, J.A.
Harvested from ORCID Public Data FileWesterhuis, J.A. in OpenAIRE Smilde, A.K.; +2 AuthorsSmilde, A.K.
Harvested from ORCID Public Data FileSmilde, A.K. in OpenAIREvan Sprang, E.N.M.; Ramaker, H.J.; Westerhuis, J.A.; Westerhuis, J.A.
Harvested from ORCID Public Data FileWesterhuis, J.A. in OpenAIRE Smilde, A.K.; Gurden, S.P.; Wienke, D.;Smilde, A.K.
Harvested from ORCID Public Data FileSmilde, A.K. in OpenAIREA good process understanding is the foundation for process optimization, process monitoring, end-point detection, and estimation of the end-product quality. Performing good process measurements and the construction of process models will contribute to a better process understanding. To improve the process knowledge it is common to build process models. These models are often based on first principles such as kinetic rates or mass balances. These types of models are also known as hard or white models. White models are characterized by being generally applicable but often having only a reasonable fit to real process data. Other commonly used types of models are empirical or black-box models such as regression and neural nets. Black-box models are characterized by having a good data fit but they lack a chemically meaningful model interpretation. Alternative models are grey models, which are combinations of white models and black models. The aim of a grey model is to combine the advantages of both black-box models and white models. In a qualitative case study of monitoring industrial batches using near-infrared (NIR) spectroscopy, it is shown that grey models are a good tool for detecting batch-to-batch variations and an excellent tool for process diagnosis compared to common spectroscopic monitoring tools.
14 citations 14 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=10.1366/000370203322258986&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Xin Xin Wang; Xin Xin Wang; Xin Xin Wang; Thomas W. Kuyper; +3 Authors
Thomas W. Kuyper
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas W. Kuyper in OpenAIREXin Xin Wang; Xin Xin Wang; Xin Xin Wang; Thomas W. Kuyper; Thomas W. Kuyper
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas W. Kuyper in OpenAIRE Liesje Mommer; Liesje Mommer
Harvested from ORCID Public Data FileLiesje Mommer in OpenAIRE Gu Feng; Ellis Hoffland; Ellis Hoffland
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEllis Hoffland in OpenAIREPlant-soil feedback (PSF) describes the process whereby plant species modify the soil environment, which subsequently impacts the growth of the same or another plant species. Our aim was to explore PSF by two maize varieties (a landrace and a hybrid variety) and three arbuscular mycorrhizal fungi (AMF) species (Funneliformis mosseae, Claroideoglomus etunicatum, Gigaspora margarita, and the mixture). We carried out a pot experiment with a conditioning and a feedback phase to determine PSF with different species of AMF and with a non-mycorrhizal control. Sterilized soil was conditioned separately by each variety, with or without AMF; in the feedback phase, each soil community was used to grow each in its "home" soil and in the "away" soil. Plant performance was assessed as shoot biomass, phosphorus (P) concentration and P content, and fungal performance was assessed as mycorrhizal colonization and hyphal length density. Both maize varieties were differentially influenced by AMF in the conditioning phase. In the feedback phase, PSF was generally negative for non-mycorrhizal plants or when plants were colonized by G. margarita, whereas PSF was positive in the other three AMF treatments. When plants were grown on home soil, hyphal length density was larger than on away soil. We conclude that different maize varieties can strengthen positive plant-soil feedback for themselves through beneficial mutualists for themselves, but not across the maize varieties.
13 citations 13 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/s00572-019-00885-3&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Xin Xin Wang; Xin Xin Wang; Xin Xin Wang; Thomas W. Kuyper; +3 Authors
Thomas W. Kuyper
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas W. Kuyper in OpenAIREXin Xin Wang; Xin Xin Wang; Xin Xin Wang; Thomas W. Kuyper; Thomas W. Kuyper
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThomas W. Kuyper in OpenAIRE Liesje Mommer; Liesje Mommer
Harvested from ORCID Public Data FileLiesje Mommer in OpenAIRE Gu Feng; Ellis Hoffland; Ellis Hoffland
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEllis Hoffland in OpenAIREPlant-soil feedback (PSF) describes the process whereby plant species modify the soil environment, which subsequently impacts the growth of the same or another plant species. Our aim was to explore PSF by two maize varieties (a landrace and a hybrid variety) and three arbuscular mycorrhizal fungi (AMF) species (Funneliformis mosseae, Claroideoglomus etunicatum, Gigaspora margarita, and the mixture). We carried out a pot experiment with a conditioning and a feedback phase to determine PSF with different species of AMF and with a non-mycorrhizal control. Sterilized soil was conditioned separately by each variety, with or without AMF; in the feedback phase, each soil community was used to grow each in its "home" soil and in the "away" soil. Plant performance was assessed as shoot biomass, phosphorus (P) concentration and P content, and fungal performance was assessed as mycorrhizal colonization and hyphal length density. Both maize varieties were differentially influenced by AMF in the conditioning phase. In the feedback phase, PSF was generally negative for non-mycorrhizal plants or when plants were colonized by G. margarita, whereas PSF was positive in the other three AMF treatments. When plants were grown on home soil, hyphal length density was larger than on away soil. We conclude that different maize varieties can strengthen positive plant-soil feedback for themselves through beneficial mutualists for themselves, but not across the maize varieties.
13 citations 13 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/s00572-019-00885-3&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Krijn P. de Jong; Anne Mette Frey; Johannes H. Bitter; Johannes H. Bitter; +1 Authors
Anne Mette Frey
Harvested from ORCID Public Data FileAnne Mette Frey in OpenAIREKrijn P. de Jong; Anne Mette Frey; Johannes H. Bitter; Johannes H. Bitter; Tomas van Haasterecht;Anne Mette Frey
Harvested from ORCID Public Data FileAnne Mette Frey in OpenAIREAbstractCalcium oxide supported on ZrO2 is a highly active catalyst for base‐catalyzed reactions such as aldol‐type reactions and transesterification reactions. The role of key parameters during preparation, that is, impregnation versus precipitation, heat treatment, and metal oxide loading on the basicity and catalytic activity were investigated for CaO supported on ZrO2. An impregnation of 10 wt % CaO on monoclinic zirconia followed by heat treatment at 600 °C resulted in high activity for the self‐condensation reaction of acetone. An evaluation of a series of CaO/ZrO2 samples with different loadings showed that the activity increased for impregnated amounts per gram catalyst of 0–10 wt % CaO, and at higher loading the activity decreased as a result of a decrease in dispersion. The number of strong base sites (calculated from CO2 desorbed at temperatures higher than 625 °C) correlated with the activity. For MgO, CaO, SrO, and BaO on zirconia the catalytic activity increased as the ionic radius of the metal cation increased, suggesting the impact of base strength on catalytic performance.
Access RoutesGreen 11 citations 11 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=10.1002/cctc.201300676&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Krijn P. de Jong; Anne Mette Frey; Johannes H. Bitter; Johannes H. Bitter; +1 Authors
Anne Mette Frey
Harvested from ORCID Public Data FileAnne Mette Frey in OpenAIREKrijn P. de Jong; Anne Mette Frey; Johannes H. Bitter; Johannes H. Bitter; Tomas van Haasterecht;Anne Mette Frey
Harvested from ORCID Public Data FileAnne Mette Frey in OpenAIREAbstractCalcium oxide supported on ZrO2 is a highly active catalyst for base‐catalyzed reactions such as aldol‐type reactions and transesterification reactions. The role of key parameters during preparation, that is, impregnation versus precipitation, heat treatment, and metal oxide loading on the basicity and catalytic activity were investigated for CaO supported on ZrO2. An impregnation of 10 wt % CaO on monoclinic zirconia followed by heat treatment at 600 °C resulted in high activity for the self‐condensation reaction of acetone. An evaluation of a series of CaO/ZrO2 samples with different loadings showed that the activity increased for impregnated amounts per gram catalyst of 0–10 wt % CaO, and at higher loading the activity decreased as a result of a decrease in dispersion. The number of strong base sites (calculated from CO2 desorbed at temperatures higher than 625 °C) correlated with the activity. For MgO, CaO, SrO, and BaO on zirconia the catalytic activity increased as the ionic radius of the metal cation increased, suggesting the impact of base strength on catalytic performance.
Access RoutesGreen 11 citations 11 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=10.1002/cctc.201300676&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 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=10.1177/004711789901400603&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 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=10.1177/004711789901400603&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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