Pub Date : 2018-07-01DOI: 10.18178/JOCET.2018.6.4.484
Raju Rai, K. Nagasaka
Abstract —The Artificial neural networks (ANNs) is becoming a common analysis of hydrology and water resources development, management, modeling and prediction systems. Nepal is a developing country with rich in water resources, the electricity demand is very high but generation is very low. The river flow rate plays an increasingly important role in electricity generation in Nepal. To reduce the power shortage in a local community, prediction of river flow is most necessary for the Run-of-River hydropower plants in Nepal. In this research, the river flow forecasting model based on the Artificial Neural Networks (ANNs) was developed using the Neural Connection. The performance of the developed model based on the results of this research, prediction of river flow was observed. One week of flow prediction test was conducted and one week ahead of its hydropower generation potential was identified. Employing Radial Basis Function Network (RBFN) method for forecasting of river flow and observed less than 8% of error of test data for one week. It has been analyzed that river flow rate prediction helps to reduce the demand for electric power and generation of hydropower plants. The prediction method optimizes and plan for the future system. The paper analyzes the river flow prediction and technical potential of electricity generation of the hydropower
{"title":"Intelligent Prediction Model for Run-of-River Flow Considering Electricity Extreme Conditions","authors":"Raju Rai, K. Nagasaka","doi":"10.18178/JOCET.2018.6.4.484","DOIUrl":"https://doi.org/10.18178/JOCET.2018.6.4.484","url":null,"abstract":" Abstract —The Artificial neural networks (ANNs) is becoming a common analysis of hydrology and water resources development, management, modeling and prediction systems. Nepal is a developing country with rich in water resources, the electricity demand is very high but generation is very low. The river flow rate plays an increasingly important role in electricity generation in Nepal. To reduce the power shortage in a local community, prediction of river flow is most necessary for the Run-of-River hydropower plants in Nepal. In this research, the river flow forecasting model based on the Artificial Neural Networks (ANNs) was developed using the Neural Connection. The performance of the developed model based on the results of this research, prediction of river flow was observed. One week of flow prediction test was conducted and one week ahead of its hydropower generation potential was identified. Employing Radial Basis Function Network (RBFN) method for forecasting of river flow and observed less than 8% of error of test data for one week. It has been analyzed that river flow rate prediction helps to reduce the demand for electric power and generation of hydropower plants. The prediction method optimizes and plan for the future system. The paper analyzes the river flow prediction and technical potential of electricity generation of the hydropower","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81259018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.18178/JOCET.2018.6.4.482
N. Nedjah, N. Laskri, D. Daas, M. Baccouche
{"title":"Ethanol Production of Biomass Rich in Sugar: Energy and Environmental Opportunity","authors":"N. Nedjah, N. Laskri, D. Daas, M. Baccouche","doi":"10.18178/JOCET.2018.6.4.482","DOIUrl":"https://doi.org/10.18178/JOCET.2018.6.4.482","url":null,"abstract":"","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"88 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83814116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.18178/jocet.2018.6.4.476
N. Laskri, N. Nedjah, M. Baccouche
{"title":"Water Desalination by Solar Distillation in the Southwest of Algeria","authors":"N. Laskri, N. Nedjah, M. Baccouche","doi":"10.18178/jocet.2018.6.4.476","DOIUrl":"https://doi.org/10.18178/jocet.2018.6.4.476","url":null,"abstract":"","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79996937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.18178/JOCET.2018.6.4.485
Zhongyi Xu, Linsong Cheng, R. Cao, Sidong Fang
{"title":"Simulation of Counter-Current Imbibition in SRVs of Tight Oil Reservoir","authors":"Zhongyi Xu, Linsong Cheng, R. Cao, Sidong Fang","doi":"10.18178/JOCET.2018.6.4.485","DOIUrl":"https://doi.org/10.18178/JOCET.2018.6.4.485","url":null,"abstract":"","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86664768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.18178/jocet.2018.6.4.478
M. Hayashi, K. Nagasaka
{"title":"Grid-Style Modular Network Self-Organization Map for Detail Projection of Unknown Off-Shore Wind Speed","authors":"M. Hayashi, K. Nagasaka","doi":"10.18178/jocet.2018.6.4.478","DOIUrl":"https://doi.org/10.18178/jocet.2018.6.4.478","url":null,"abstract":"","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77281371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.18178/JOCET.2018.6.4.474
Phoebe Grace J. Saculsan, A. Mori
Energy security and climate strategy are the twin goals behind the aggressive promotion of Philippines and Thailand for developing renewable energy (RE) resources. Investment in the RE sector in the Philippines, however, has been weigh down by barriers including: (i) the difficulty in accessing finance; the (ii) tedious administrative procedures; and (iii) the lack of local acceptance, as identified from documentary reviews and in the survey interview done in the Philippines in 2016. The author explores in this paper the design and the mechanism of the Energy Conservation (ENCON) Fund, a well-acclaimed innovative financing scheme which is said to be a key that makes Thailand an investment hub for clean energy investment, from which the Philippines can learn from to similarly address these barriers to its own RE goals.
{"title":"What Can the Philippines Learn from Thailand`s ENCON Fund in Overcoming the Barriers to Developing Renewable Energy Resources","authors":"Phoebe Grace J. Saculsan, A. Mori","doi":"10.18178/JOCET.2018.6.4.474","DOIUrl":"https://doi.org/10.18178/JOCET.2018.6.4.474","url":null,"abstract":"Energy security and climate strategy are the twin goals behind the aggressive promotion of Philippines and Thailand for developing renewable energy (RE) resources. Investment in the RE sector in the Philippines, however, has been weigh down by barriers including: (i) the difficulty in accessing finance; the (ii) tedious administrative procedures; and (iii) the lack of local acceptance, as identified from documentary reviews and in the survey interview done in the Philippines in 2016. The author explores in this paper the design and the mechanism of the Energy Conservation (ENCON) Fund, a well-acclaimed innovative financing scheme which is said to be a key that makes Thailand an investment hub for clean energy investment, from which the Philippines can learn from to similarly address these barriers to its own RE goals.","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82777205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.18178/JOCET.2018.6.4.475
Jinfeng Zhang, D. Adu, Yujian Fang, Eric O. Antwi, Solomon Oppong Kyekyeku
Renewable energies represent a foundation to steer the energy system in the direction of sustainability and supply security in Ghana. The country has a huge undeveloped potential in the field of renewable energy. While Ghana has committed itself to universal electricity access by 2020, the real challenge is the capacity to meet this goal and, most important, to ensure that supply is reliable and adequate. This paper outlines the state of current electricity demand, supply gap and CVVV V the major impediments to resolve the supply bottlenecks to meet demand. The paper again discusses current Renewable energy situation of Ghana and sustainable development strategy by the Year 2020. The current status and future prospects of Renewable Energy in Ghana are also addressed in the paper. Conclusion was drawn on the role of the Government and private investors on the Renewable Energy development in the Country.
{"title":"Renewable Energy Situation in Ghana and Future Prospect","authors":"Jinfeng Zhang, D. Adu, Yujian Fang, Eric O. Antwi, Solomon Oppong Kyekyeku","doi":"10.18178/JOCET.2018.6.4.475","DOIUrl":"https://doi.org/10.18178/JOCET.2018.6.4.475","url":null,"abstract":"Renewable energies represent a foundation to steer the energy system in the direction of sustainability and supply security in Ghana. The country has a huge undeveloped potential in the field of renewable energy. While Ghana has committed itself to universal electricity access by 2020, the real challenge is the capacity to meet this goal and, most important, to ensure that supply is reliable and adequate. This paper outlines the state of current electricity demand, supply gap and CVVV V the major impediments to resolve the supply bottlenecks to meet demand. The paper again discusses current Renewable energy situation of Ghana and sustainable development strategy by the Year 2020. The current status and future prospects of Renewable Energy in Ghana are also addressed in the paper. Conclusion was drawn on the role of the Government and private investors on the Renewable Energy development in the Country.","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76147694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.18178/JOCET.2018.6.4.486
Arum Kusuma Wardhany, I. Garniwa, Rima Kurnia Putri, Raja Dweyndo Hasintongan Gurning
Abstract —Occupant behaviour and their activity contribute to entire building energy consumption. This study proposes energy consumption prediction model which integrates appliances category, occupancy rates and occupant activity. Site measurement method is used in collecting all appliances along with their operating characteristics. Occupant activity and working behaviour are obtained through questionnaire survey. Simulation results show that energy consumption from base appliances is stable during the working day whereas energy consumption of occupant activity and personal appliances is more fluctuate due to occupancy rates of office building. Validation process with actual energy consumption shows that simulation energy consumption using the proposed model has an average accuracy rate 94%. This model is applicable to predict the energy consumption in open-space office building by knowing occupant behaviour and appliances
{"title":"Energy Consumption Model for Open-Space Geometry Building: A Study Case in Jakarta","authors":"Arum Kusuma Wardhany, I. Garniwa, Rima Kurnia Putri, Raja Dweyndo Hasintongan Gurning","doi":"10.18178/JOCET.2018.6.4.486","DOIUrl":"https://doi.org/10.18178/JOCET.2018.6.4.486","url":null,"abstract":" Abstract —Occupant behaviour and their activity contribute to entire building energy consumption. This study proposes energy consumption prediction model which integrates appliances category, occupancy rates and occupant activity. Site measurement method is used in collecting all appliances along with their operating characteristics. Occupant activity and working behaviour are obtained through questionnaire survey. Simulation results show that energy consumption from base appliances is stable during the working day whereas energy consumption of occupant activity and personal appliances is more fluctuate due to occupancy rates of office building. Validation process with actual energy consumption shows that simulation energy consumption using the proposed model has an average accuracy rate 94%. This model is applicable to predict the energy consumption in open-space office building by knowing occupant behaviour and appliances","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81357620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.18178/jocet.2018.6.4.487
A. Beşkirli, M. Beşkirli, Huseyin Hakli, Harun Uguz
Energy demand estimation is an important issue in terms of the economy and resources of a country. In this study, an Artificial Algae Algorithm (AAA) was used to estimate Turkey’s long-term energy demand. The AAA is a fast, powerful and effective evolutionary optimization technique used to solve continuous optimization problems. Two different equations (linear and exponential) were used for the energy demand estimation by considering the relationship between the increase in economic indicators and the increase in energy consumption in Turkey. Turkey’s long-term energy demand was estimated from 2006 to 2025 with the AAA method by using gross national product (GNP) and information about imports, exports and population. The AAA method was compared to other methods in published literature to show its success when applied to the energy demand problem. It was found that the results obtained by the proposed method were more robust and successful than those of the other methods.
{"title":"Comparing Energy Demand Estimation Using Artificial Algae Algorithm: The Case of Turkey","authors":"A. Beşkirli, M. Beşkirli, Huseyin Hakli, Harun Uguz","doi":"10.18178/jocet.2018.6.4.487","DOIUrl":"https://doi.org/10.18178/jocet.2018.6.4.487","url":null,"abstract":"Energy demand estimation is an important issue in terms of the economy and resources of a country. In this study, an Artificial Algae Algorithm (AAA) was used to estimate Turkey’s long-term energy demand. The AAA is a fast, powerful and effective evolutionary optimization technique used to solve continuous optimization problems. Two different equations (linear and exponential) were used for the energy demand estimation by considering the relationship between the increase in economic indicators and the increase in energy consumption in Turkey. Turkey’s long-term energy demand was estimated from 2006 to 2025 with the AAA method by using gross national product (GNP) and information about imports, exports and population. The AAA method was compared to other methods in published literature to show its success when applied to the energy demand problem. It was found that the results obtained by the proposed method were more robust and successful than those of the other methods.","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"131 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85616495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.18178/JOCET.2018.6.4.473
Md Abdul Hai, S. Mekhilef, K. Hossain
Abstract —Although most of the Finns are positive toward solar energy, they have long been stumbled to adopt and hesitated to rely on it due to its traditional weak images and mostly unfavourable weather conditions. However, in solar energy, Finland is already credited to award-winning innovation, demonstration projects, business models, and so on. Additionally, decreased price and the availability of some incentives have got the public attraction. In such contexts, the prospects of solar energy in the country in terms of public readiness to invest and adopt, have induced this study to undertake. Results driven by this qualitative study through some semi-structured interviews have shown a trend of escalating social acceptance rate of solar energy among Finns. However, they were seemed to be still entangled with some misconceptions, lack of well-exposed information, good numbers of visible success stories, etc. This study has also included some recommendations and future research
{"title":"Public Readiness to Adopt Solar Energy – Responses of Some Finnish Citizens","authors":"Md Abdul Hai, S. Mekhilef, K. Hossain","doi":"10.18178/JOCET.2018.6.4.473","DOIUrl":"https://doi.org/10.18178/JOCET.2018.6.4.473","url":null,"abstract":" Abstract —Although most of the Finns are positive toward solar energy, they have long been stumbled to adopt and hesitated to rely on it due to its traditional weak images and mostly unfavourable weather conditions. However, in solar energy, Finland is already credited to award-winning innovation, demonstration projects, business models, and so on. Additionally, decreased price and the availability of some incentives have got the public attraction. In such contexts, the prospects of solar energy in the country in terms of public readiness to invest and adopt, have induced this study to undertake. Results driven by this qualitative study through some semi-structured interviews have shown a trend of escalating social acceptance rate of solar energy among Finns. However, they were seemed to be still entangled with some misconceptions, lack of well-exposed information, good numbers of visible success stories, etc. This study has also included some recommendations and future research","PeriodicalId":15527,"journal":{"name":"Journal of Clean Energy Technologies","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80415683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：