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408 results on '"Fujita, Goro"'

62. Identification of photovoltaic‐generation‐characteristic at real‐time conditions by improved single‐diode model.

Author

Nguyen, Tuyen Duc, Le, Thinh Viet, and Fujita, Goro

Subjects
PHOTOVOLTAIC power systems, RENEWABLE energy sources, REGRESSION analysis, COMPUTER simulation, ACCURACY
Abstract

The dramatic penetration of sustainable energy systems, including photovoltaic (PV) systems, has profoundly affected the stability and the reliability of the power system. Hence, determining the generation characteristics of PV systems has been becoming a crucial task in planning and dispatching the power system. However, since the generation of PV systems is profoundly impacted by the weather conditions, especially the irradiance and the temperature, producing a PV model, which performs well at various conditions, has been a challenging task for years. In this paper, we present a model to determine the PV generation characteristics by obtaining the current‐voltage (I–V) curves of the single‐diode model. First, the three key points, including the open‐circuit point, the short‐circuit point, and the maximum power point, are estimated from the historical data based on an improved regression model. After that, a new algorithm is proposed, which ensures the model always converges at any temperature and irradiance conditions. The proposed model is validated by comparing with recently published models and the measured data from the National Renewable Energy Laboratory, USA. Compared to previous numerical models, the proposed model is capable of determining the generation characteristics of PV systems at anomaly conditions (anomalously low irradiance and anomalously high irradiance) with high accuracy and fast speed. The validated results demonstrate the accuracy and the reliability of the proposed model in determining the generation characteristics of PV modules at real‐time conditions. [ABSTRACT FROM AUTHOR]

Published
2022
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64. The downstream speed estimation of the wind farm energy harvesting considering a random surface roughness.

Author

Afandi, A. N., Aripriharta, Rahmawati, Yuni, Prasetya W., Aji, Patmantara, Syaad, Fujita, Goro, Hiyama, Takashi, Sulistyorini, Yunis, Kusrini, Eny, and Nugraha, I Gde Dharma

Subjects
ENERGY harvesting, WIND power, WIND power plants, ENERGY crops, RENEWABLE energy sources, OFFSHORE wind power plants
Abstract

Recently, alternative energy becomes a popular issue associated with decreasing fossil energy source consumption. Moreover, this aim leads to renewable energy conservation for exploring potential sources, such as, solar and wind energy, which are more familiar than other energy sources. However, renewable energy usage is very dependent on the existing technology development which is applied to catch the natural energy sources. These works are subjected to study and estimate the downstream speed on the wind energy as a potential renewable energy source which is utilized for the wind farm energy harvesting. These works also consider the 24 hours operation based on technical parameters of the wind turbine and natural wind speed performances. These studies are demonstrated on the random surface roughness performing using an artificial salmon tracking algorithm. Results show that the random surface roughness influences the pattern of wind dispersion and wind speed reduction, as well as sweeping areas affected by the wind. It also has an impact on energy production related to the wind farm energy harvesting. Regarding the surface roughness within 0.01-0.936 randomly, the downstream speed covers 3.842-5.053 m/s. In particular, the wake decay also contributes to the wind sweeping in the harvesting potential energy area. By considering the hub high of 10 m, the highest downstream leads to the slowest speed on the constant wind flows. [ABSTRACT FROM AUTHOR]

Published
2020
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85. Designed Operating Approach of Economic Dispatch for Java Bali Power Grid Areas Considered Wind Energy and Pollutant Emission Optimized Using Thunderstorm Algorithm Based on Forward Cloud Charge Mechanism

Author

Afandi, A. N., primary, Wibawa, A. P., additional, Padmantara, Syaad, additional, Fujita, Goro, additional, Triyana, W., additional, Sulistyorini, Yunis, additional, Miyauchi, H., additional, Tutkun, Nedim, additional, EL-Shimy Mahmoud, M., additional, and Gao, X. Z., additional

Published
2018
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