- Access Routes
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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=10.1088/1757-899x/1045/1/012045&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1757-899x/1045/1/012045&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 
Ahmed, Asam; Ge, Tianshu;Ahmed, Asam
Harvested from ORCID Public Data FileAhmed, Asam in OpenAIRE Peng, Jinqing; Yan, Wei-Cheng; +2 AuthorsPeng, Jinqing
Harvested from ORCID Public Data FilePeng, Jinqing in OpenAIRE Ahmed, Asam; Ge, Tianshu;Ahmed, Asam
Harvested from ORCID Public Data FileAhmed, Asam in OpenAIRE Peng, Jinqing; Yan, Wei-Cheng; Tee, Boon Tuan;Peng, Jinqing
Harvested from ORCID Public Data FilePeng, Jinqing in OpenAIRE
You, Siming; You, Siming
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesYou, Siming in OpenAIREDecarbonizing the building sector is extremely important to mitigating climate change as the sector contributes 40% of the overall energy consumption and 36% of the total greenhouse gas emissions in the world. Net-zero energy buildings are one of the promising decarbonization attempts due to their potential of decreasing the use of energy and increasing the total share of renewable energy. To achieve a net-zero energy building, it is necessary to decrease the energy demand by applying efficiency enhancement measures and using renewable energy sources. Net-zero energy buildings can be classified into four models (Net-Zero Site Energy buildings, Net-Zero Emissions buildings, Net-Zero Source Energy buildings, and Net-Zero Cost Energy buildings). A variety of technical, financial, and environmental factors should be considered during the decision-making process of net-zero energy building development, justifying the use of multi-criteria decision analysis methods for the design of net-zero energy buildings. This paper also discussed the contributions of renewable energy generation (hydropower, wind energy, solar, heat pumps, and bioenergy) to the development of net-zero energy buildings and reviewed its role in tackling the decarbonization challenge. Cost-benefit analysis and life cycle assessment of building designs were reviewed to shape the priorities of future development. It is important to develop a universal decision instrument for optimum design and operation of net-zero energy buildings.
Access RoutesGreen 263 citations 263 popularity Top 1% influence Top 1% 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=10.1016/j.enbuild.2021.111755&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Ahmed, Asam; Ge, Tianshu;
Ahmed, Asam
Harvested from ORCID Public Data FileAhmed, Asam in OpenAIRE Peng, Jinqing; Yan, Wei-Cheng; +2 AuthorsPeng, Jinqing
Harvested from ORCID Public Data FilePeng, Jinqing in OpenAIRE Ahmed, Asam; Ge, Tianshu;Ahmed, Asam
Harvested from ORCID Public Data FileAhmed, Asam in OpenAIRE Peng, Jinqing; Yan, Wei-Cheng; Tee, Boon Tuan;Peng, Jinqing
Harvested from ORCID Public Data FilePeng, Jinqing in OpenAIRE You, Siming; You, Siming
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesYou, Siming in OpenAIREDecarbonizing the building sector is extremely important to mitigating climate change as the sector contributes 40% of the overall energy consumption and 36% of the total greenhouse gas emissions in the world. Net-zero energy buildings are one of the promising decarbonization attempts due to their potential of decreasing the use of energy and increasing the total share of renewable energy. To achieve a net-zero energy building, it is necessary to decrease the energy demand by applying efficiency enhancement measures and using renewable energy sources. Net-zero energy buildings can be classified into four models (Net-Zero Site Energy buildings, Net-Zero Emissions buildings, Net-Zero Source Energy buildings, and Net-Zero Cost Energy buildings). A variety of technical, financial, and environmental factors should be considered during the decision-making process of net-zero energy building development, justifying the use of multi-criteria decision analysis methods for the design of net-zero energy buildings. This paper also discussed the contributions of renewable energy generation (hydropower, wind energy, solar, heat pumps, and bioenergy) to the development of net-zero energy buildings and reviewed its role in tackling the decarbonization challenge. Cost-benefit analysis and life cycle assessment of building designs were reviewed to shape the priorities of future development. It is important to develop a universal decision instrument for optimum design and operation of net-zero energy buildings.
Access RoutesGreen 263 citations 263 popularity Top 1% influence Top 1% 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=10.1016/j.enbuild.2021.111755&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Sheikh Ahmad Zaki; Mohamad Faizal Rosli;
Sheikh Ahmad Zaki
Harvested from ORCID Public Data FileSheikh Ahmad Zaki in OpenAIRE Hom Bahadur Rijal; Farah Nurhanis Hassan Sadzli; +2 AuthorsHom Bahadur Rijal
Harvested from ORCID Public Data FileHom Bahadur Rijal in OpenAIRE Sheikh Ahmad Zaki; Mohamad Faizal Rosli;Sheikh Ahmad Zaki
Harvested from ORCID Public Data FileSheikh Ahmad Zaki in OpenAIRE Hom Bahadur Rijal; Farah Nurhanis Hassan Sadzli;Hom Bahadur Rijal
Harvested from ORCID Public Data FileHom Bahadur Rijal in OpenAIRE Aya Hagishima; Aya Hagishima
Harvested from ORCID Public Data FileAya Hagishima in OpenAIRE Fitri Yakub; Fitri Yakub
Harvested from ORCID Public Data FileFitri Yakub in OpenAIREComfort temperature and sleep quality involving 20 participants were determined in two cases: Case A (arbitrary, controlled air-conditioner setting) and Case B (adjustment of 3 °C higher than the setting of Case A with cool bed linen). Data of indoor thermal comfort and electricity consumption were collected every night throughout the measurement period. Questionnaires on thermal comfort and sleep quality were distributed twice a night for a duration of three nights for each case; the first night was for respondents’ adaptation and the following two nights were for measurement. The sleep quality of the respondents was objectively measured using a commercially available activity tracker. Results found that most respondents were thermally comfortable in both cases, with 39% lower energy consumption reported for Case B compared to Case A. The thermal conditions of Case B were found to be more tolerable than those of Case A. Most respondents reported to have a calm and satisfied sleep for both cases. Comfort temperature and Sleep Efficiency Index (SEI) were found to be maintained in both cases.
Access Routesgold 12 citations 12 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/su13169099&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Sheikh Ahmad Zaki; Mohamad Faizal Rosli;
Sheikh Ahmad Zaki
Harvested from ORCID Public Data FileSheikh Ahmad Zaki in OpenAIRE Hom Bahadur Rijal; Farah Nurhanis Hassan Sadzli; +2 AuthorsHom Bahadur Rijal
Harvested from ORCID Public Data FileHom Bahadur Rijal in OpenAIRE Sheikh Ahmad Zaki; Mohamad Faizal Rosli;Sheikh Ahmad Zaki
Harvested from ORCID Public Data FileSheikh Ahmad Zaki in OpenAIRE Hom Bahadur Rijal; Farah Nurhanis Hassan Sadzli;Hom Bahadur Rijal
Harvested from ORCID Public Data FileHom Bahadur Rijal in OpenAIRE Aya Hagishima; Aya Hagishima
Harvested from ORCID Public Data FileAya Hagishima in OpenAIRE Fitri Yakub; Fitri Yakub
Harvested from ORCID Public Data FileFitri Yakub in OpenAIREComfort temperature and sleep quality involving 20 participants were determined in two cases: Case A (arbitrary, controlled air-conditioner setting) and Case B (adjustment of 3 °C higher than the setting of Case A with cool bed linen). Data of indoor thermal comfort and electricity consumption were collected every night throughout the measurement period. Questionnaires on thermal comfort and sleep quality were distributed twice a night for a duration of three nights for each case; the first night was for respondents’ adaptation and the following two nights were for measurement. The sleep quality of the respondents was objectively measured using a commercially available activity tracker. Results found that most respondents were thermally comfortable in both cases, with 39% lower energy consumption reported for Case B compared to Case A. The thermal conditions of Case B were found to be more tolerable than those of Case A. Most respondents reported to have a calm and satisfied sleep for both cases. Comfort temperature and Sleep Efficiency Index (SEI) were found to be maintained in both cases.
Access Routesgold 12 citations 12 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/su13169099&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Yarub Al-Douri; Fayadh M. Abed; Ghazy M. Y. Al-Shahery;
Fayadh M. Abed
Harvested from ORCID Public Data FileFayadh M. Abed in OpenAIREAbstract An outlook into the country profile at the existing electricity generation with crude oil production at the present level with accompanying gas flares cause CO 2 emission as well as the industrial, human activities and the grid electricity distribution has been accounted for. The estimation of solar radiation levels as well as its productivity in terms of photovoltaics (PV׳s), concentrated solar powers (CSP) and chimney towers have been paid for others renewable energies; wind, tidal and geothermal productivity. A selection of possible site for installation according to the given geographical hazard and the maximum solar radiation could be collected. An overview for futuristic demands and possible solar energy supply that could be generated has reviewed. Furthermore, the desalination of underground or polluted water to support the solar system as well as the needed plantation to preserve a clean and green environment and low dust climate is presented.
34 citations 34 popularity Top 10% influence Top 10% 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.rser.2014.07.026&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Yarub Al-Douri; Fayadh M. Abed; Ghazy M. Y. Al-Shahery;
Fayadh M. Abed
Harvested from ORCID Public Data FileFayadh M. Abed in OpenAIREAbstract An outlook into the country profile at the existing electricity generation with crude oil production at the present level with accompanying gas flares cause CO 2 emission as well as the industrial, human activities and the grid electricity distribution has been accounted for. The estimation of solar radiation levels as well as its productivity in terms of photovoltaics (PV׳s), concentrated solar powers (CSP) and chimney towers have been paid for others renewable energies; wind, tidal and geothermal productivity. A selection of possible site for installation according to the given geographical hazard and the maximum solar radiation could be collected. An overview for futuristic demands and possible solar energy supply that could be generated has reviewed. Furthermore, the desalination of underground or polluted water to support the solar system as well as the needed plantation to preserve a clean and green environment and low dust climate is presented.
34 citations 34 popularity Top 10% influence Top 10% 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.rser.2014.07.026&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Zia Ud Din; Zia Ud Din;
Zia Ud Din
Harvested from ORCID Public Data FileZia Ud Din in OpenAIRE Zainal Alimuddin Zainal; Zainal Alimuddin Zainal
Harvested from ORCID Public Data FileZainal Alimuddin Zainal in OpenAIREAbstract The combination of biomass gasification with fuel cells, especially high temperature Solid Oxide Fuel Cells (SOFCs) promises sustainable and highly efficient (decentralized and modular) energy conversion systems. This review encompasses the components of biomass integrated gasification–SOFC technology including biomass characteristics, the thermochemical conversion in gasifiers and the factors affecting the gasification process, the cleaning technologies for raw producer gas and its conditioning and finally the integration of gasifier with SOFCs. The influence of impurities present in biomass producer gas such as particulates, tar, H 2 S, HCl and alkali compounds based on recent experimental studies and their tolerance limits towards SOFCs are presented. Even though analysis based on the probable tolerance limits of impurities towards SOFCs and a comprehensive overview of the cleaning technologies for producer gas impurities indicate that producer gas cleaning at various temperatures using current technologies to meet SOFC requirements is possible, more experimental studies are still needed to acquire the detailed information on the tolerance limits of impurities for SOFCs. The recent theoretical modeling and experimental studies of biomass integrated gasification–SOFC systems are also presented.
187 citations 187 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.rser.2015.09.013&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Zia Ud Din; Zia Ud Din;
Zia Ud Din
Harvested from ORCID Public Data FileZia Ud Din in OpenAIRE Zainal Alimuddin Zainal; Zainal Alimuddin Zainal
Harvested from ORCID Public Data FileZainal Alimuddin Zainal in OpenAIREAbstract The combination of biomass gasification with fuel cells, especially high temperature Solid Oxide Fuel Cells (SOFCs) promises sustainable and highly efficient (decentralized and modular) energy conversion systems. This review encompasses the components of biomass integrated gasification–SOFC technology including biomass characteristics, the thermochemical conversion in gasifiers and the factors affecting the gasification process, the cleaning technologies for raw producer gas and its conditioning and finally the integration of gasifier with SOFCs. The influence of impurities present in biomass producer gas such as particulates, tar, H 2 S, HCl and alkali compounds based on recent experimental studies and their tolerance limits towards SOFCs are presented. Even though analysis based on the probable tolerance limits of impurities towards SOFCs and a comprehensive overview of the cleaning technologies for producer gas impurities indicate that producer gas cleaning at various temperatures using current technologies to meet SOFC requirements is possible, more experimental studies are still needed to acquire the detailed information on the tolerance limits of impurities for SOFCs. The recent theoretical modeling and experimental studies of biomass integrated gasification–SOFC systems are also presented.
187 citations 187 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.rser.2015.09.013&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Mohammad Ghamsari-Yazdel; Nima Amjady; Hamid Reza Najafi;
Nima Amjady
Harvested from ORCID Public Data FileNima Amjady in OpenAIREAbstract In this paper, a reintegration-based multi-objective intentional controlled islanding (ICI) model is proposed to enhance resiliency of electrical power systems under catastrophic events. This remedial measure plan relies on a mixed-integer linear programming model with two objective functions including reintegration risk and total load shedding value. While ensuring that each island includes only coherent generators, the proposed multi-objective model solves the controlled islanding problem using lexicographic optimization approach. To ease the islands’ reintegration, charging reactive power, reliability, capacity, and power flow disruption of transmission lines are considered in the model. After implementation of controlled islanding, each resulted island may face temporary active/reactive load-generation imbalance, which may put the islands at the risk of frequency instability, transient voltage instability or a combination of both. The proposed model reduces these risks by modeling energy storage systems (ESSs) and static VAR compensators (SVCs) as fast corrective control actions. In addition to modeling voltage dependent loads in the controlled islanding problem, a linear island frequency response (IFR) model is proposed for frequency stability assessment. The test results of the proposed ICI model on the IEEE 39-bus and IEEE 118-bus test systems demonstrate its performance.
4 citations 4 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=10.1016/j.epsr.2020.107018&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Mohammad Ghamsari-Yazdel; Nima Amjady; Hamid Reza Najafi;
Nima Amjady
Harvested from ORCID Public Data FileNima Amjady in OpenAIREAbstract In this paper, a reintegration-based multi-objective intentional controlled islanding (ICI) model is proposed to enhance resiliency of electrical power systems under catastrophic events. This remedial measure plan relies on a mixed-integer linear programming model with two objective functions including reintegration risk and total load shedding value. While ensuring that each island includes only coherent generators, the proposed multi-objective model solves the controlled islanding problem using lexicographic optimization approach. To ease the islands’ reintegration, charging reactive power, reliability, capacity, and power flow disruption of transmission lines are considered in the model. After implementation of controlled islanding, each resulted island may face temporary active/reactive load-generation imbalance, which may put the islands at the risk of frequency instability, transient voltage instability or a combination of both. The proposed model reduces these risks by modeling energy storage systems (ESSs) and static VAR compensators (SVCs) as fast corrective control actions. In addition to modeling voltage dependent loads in the controlled islanding problem, a linear island frequency response (IFR) model is proposed for frequency stability assessment. The test results of the proposed ICI model on the IEEE 39-bus and IEEE 118-bus test systems demonstrate its performance.
4 citations 4 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=10.1016/j.epsr.2020.107018&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 7 citations 7 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=10.1049/cp.2012.0882&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu7 citations 7 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=10.1049/cp.2012.0882&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Behzad Forouzi Feshalami;
Behzad Forouzi Feshalami
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBehzad Forouzi Feshalami in OpenAIREThis paper deals with the optimization of the daily operation of Polerood hydropower station being constructed in the north of Iran. Dynamic Programming method (DP) is applied as the preferred optimization tool owing to the fact that it guarantees the optimal solution and is applicable to the present problem. Produced profit and peak-shaving are the two objectives considered separately in this study. The results show that the optimal water management of the case study through charging and discharging the reservoir at the appropriate times led to 4% increase in the produced profit. In another part of this study, the optimal performance strategies regarding to the two objectives (produced profit and peak-shaving) are compared. The observed similarity between the two performance strategies implies the substantial dependence of the electricity price and the network demand level. The paper ends with the profitability study of the project and the sensitivity analysis of the results to various economic parameters. Article History: Received December 15th 2017; Received in revised form April 18th 2018; Accepted September 16th 2018; Available onlineHow to Cite This Article: Feshalami, B.F. (2018) Optimal Operating Scenario for Polerood Hydropower Station to Maximize Peak Shaving and Produced Profit. International Journal of Renewable Energy Development, 7(3), 233-239.https://doi.org/10.14710/ijred.7.3.233-239
Access Routesgold 3 citations 3 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=10.14710/ijred.7.3.233-239&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Behzad Forouzi Feshalami;
Behzad Forouzi Feshalami
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBehzad Forouzi Feshalami in OpenAIREThis paper deals with the optimization of the daily operation of Polerood hydropower station being constructed in the north of Iran. Dynamic Programming method (DP) is applied as the preferred optimization tool owing to the fact that it guarantees the optimal solution and is applicable to the present problem. Produced profit and peak-shaving are the two objectives considered separately in this study. The results show that the optimal water management of the case study through charging and discharging the reservoir at the appropriate times led to 4% increase in the produced profit. In another part of this study, the optimal performance strategies regarding to the two objectives (produced profit and peak-shaving) are compared. The observed similarity between the two performance strategies implies the substantial dependence of the electricity price and the network demand level. The paper ends with the profitability study of the project and the sensitivity analysis of the results to various economic parameters. Article History: Received December 15th 2017; Received in revised form April 18th 2018; Accepted September 16th 2018; Available onlineHow to Cite This Article: Feshalami, B.F. (2018) Optimal Operating Scenario for Polerood Hydropower Station to Maximize Peak Shaving and Produced Profit. International Journal of Renewable Energy Development, 7(3), 233-239.https://doi.org/10.14710/ijred.7.3.233-239
Access Routesgold 3 citations 3 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=10.14710/ijred.7.3.233-239&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Soheil Fathi; Andriel Evandro Fenner; Ravi S. Srinivasan;
Ravi S. Srinivasan
Harvested from ORCID Public Data FileRavi S. Srinivasan in OpenAIRE Sahand Fathi; Sahand Fathi
Harvested from ORCID Public Data FileSahand Fathi in OpenAIREAbstract In developed countries, buildings are involved in almost 50% of total energy use and 30% of global green-house gas emissions. Buildings' operational energy is highly dependent on various building physical, operational, and functional characteristics, as well as meteorological and temporal properties. Besides physics-based building energy modeling, machine learning techniques can provide faster and higher accuracy estimates, given buildings' historic energy consumption data. Looking beyond individual building levels, forecasting buildings’ energy performance helps city and community managers have a better understanding of their future energy needs, and plan for satisfying them more efficiently. Focusing on an urban-scale, this study systematically reviews 70 journal articles, published in the field of building energy performance forecasting between 2015 and 2018. The recent literature have been categorized according to five criteria: 1. Learning Method, 2. Building Type, 3. Energy Type, 4. Input Data, and 5. Time-scale. The scarcity of building energy performance forecasting studies in urban-scale versus individual level is considerable. There is no study incorporating building functionality in terms of space functionality share percentages, nor assessing the effects of climate change on urban buildings energy performance using machine learning approaches and future weather scenarios. There is no optimal criteria combination for achieving the most accurate machine learning-based forecast, as there is no universal measure able to provide such global comparison. Accuracy levels are highly correlated with the characteristics of forecasting problems. The goal is to provide a comprehensive status of machine learning applications in urban building energy performance forecasting, during 2015–2018.
190 citations 190 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=10.1016/j.rser.2020.110287&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Soheil Fathi; Andriel Evandro Fenner; Ravi S. Srinivasan;
Ravi S. Srinivasan
Harvested from ORCID Public Data FileRavi S. Srinivasan in OpenAIRE Sahand Fathi; Sahand Fathi
Harvested from ORCID Public Data FileSahand Fathi in OpenAIREAbstract In developed countries, buildings are involved in almost 50% of total energy use and 30% of global green-house gas emissions. Buildings' operational energy is highly dependent on various building physical, operational, and functional characteristics, as well as meteorological and temporal properties. Besides physics-based building energy modeling, machine learning techniques can provide faster and higher accuracy estimates, given buildings' historic energy consumption data. Looking beyond individual building levels, forecasting buildings’ energy performance helps city and community managers have a better understanding of their future energy needs, and plan for satisfying them more efficiently. Focusing on an urban-scale, this study systematically reviews 70 journal articles, published in the field of building energy performance forecasting between 2015 and 2018. The recent literature have been categorized according to five criteria: 1. Learning Method, 2. Building Type, 3. Energy Type, 4. Input Data, and 5. Time-scale. The scarcity of building energy performance forecasting studies in urban-scale versus individual level is considerable. There is no study incorporating building functionality in terms of space functionality share percentages, nor assessing the effects of climate change on urban buildings energy performance using machine learning approaches and future weather scenarios. There is no optimal criteria combination for achieving the most accurate machine learning-based forecast, as there is no universal measure able to provide such global comparison. Accuracy levels are highly correlated with the characteristics of forecasting problems. The goal is to provide a comprehensive status of machine learning applications in urban building energy performance forecasting, during 2015–2018.
190 citations 190 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=10.1016/j.rser.2020.110287&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Mohammad M. Barzegari; M. Momenifar; S.H.M. Saadat; Ebrahim Alizadeh; +1 Authors
M. Momenifar
Harvested from ORCID Public Data FileM. Momenifar in OpenAIREMohammad M. Barzegari; M. Momenifar; S.H.M. Saadat; Ebrahim Alizadeh;M. Momenifar
Harvested from ORCID Public Data FileM. Momenifar in OpenAIRE M. Ghadimi; M. Ghadimi
Harvested from ORCID Public Data FileM. Ghadimi in OpenAIREAbstract Clamping mechanisms have significant effect on the performance of polymer electrolyte membrane (PEM) fuel cells. In this paper, PEM fuel cell with new clamping mechanism is designed to study the contact pressure distribution over the active area of PEM fuel cell's membrane electrode assembly (MEA). The clamping pressure is pneumatically exerted on the PEM fuel cell assembly. A comparison between the conventional and new clamping mechanism is carried out with simulation, and the numerical results are validated against experimental investigation performed in the fuel cell technology research laboratory. The experimental results are gathered using embedded pressure measurement films in the designed single cell. The results achieved via finite element method are in good agreement with experimental results. It is concluded that the contact pressure distribution of MEA for the new clamping mechanism is more uniform than the conventional one.
54 citations 54 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.energy.2017.05.036&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Mohammad M. Barzegari; M. Momenifar; S.H.M. Saadat; Ebrahim Alizadeh; +1 Authors
M. Momenifar
Harvested from ORCID Public Data FileM. Momenifar in OpenAIREMohammad M. Barzegari; M. Momenifar; S.H.M. Saadat; Ebrahim Alizadeh;M. Momenifar
Harvested from ORCID Public Data FileM. Momenifar in OpenAIRE M. Ghadimi; M. Ghadimi
Harvested from ORCID Public Data FileM. Ghadimi in OpenAIREAbstract Clamping mechanisms have significant effect on the performance of polymer electrolyte membrane (PEM) fuel cells. In this paper, PEM fuel cell with new clamping mechanism is designed to study the contact pressure distribution over the active area of PEM fuel cell's membrane electrode assembly (MEA). The clamping pressure is pneumatically exerted on the PEM fuel cell assembly. A comparison between the conventional and new clamping mechanism is carried out with simulation, and the numerical results are validated against experimental investigation performed in the fuel cell technology research laboratory. The experimental results are gathered using embedded pressure measurement films in the designed single cell. The results achieved via finite element method are in good agreement with experimental results. It is concluded that the contact pressure distribution of MEA for the new clamping mechanism is more uniform than the conventional one.
54 citations 54 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.energy.2017.05.036&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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