scholarly journals Analysis of Energy Productivity and Determinant Factors: A Case Study of China’s Provinces

2012 ◽  
Vol 5 (6) ◽  
Author(s):  
Michinori Uwasu ◽  
Keishiro Hara ◽  
Helmut Yabar ◽  
Haiyan Zhang
2020 ◽  
Vol 5 (1) ◽  
pp. 56-60
Author(s):  
Wildan Gunawan ◽  
Suyitno Muslim ◽  
Imam Arif Rahardjo

This research is aimed to understand the effects of  rain fall and discharge rate towards hydro electric power plant productivity (case study at Kracak Sub Unit HPP, Bogor Regency Jawa Barat). Multiple regression tecnique analysis is used as research method with quantitative approach for describing the effects of rain fall and discharge rate towards hydro electric energy productivity. Based on Sub Unit PLTA Kracak during a highest down pour in June 2018 has gained electrical power about 173,583 kWh for 15,84 mm rain fall and the lowest rain fall in July 2018 is 0,86 mm only obtain 49,772 kWh electrical power with the average rain fall record in three stations is 8,9592 mm. Mean while, for the highest river discharge rate happened in February is 10,08 m3/detik which produce 198,296 kWh electrical power and the lowest in June that only gained 3,53 m3/detik which produce 49,772 kWh electrical power with the average of river discharge rate in 2018 is only 7,9858 m3/detik. The average of electrical power it self is only 156,0105 kWh for 8,9592 mm of rainfall and 7,9858 m3/detik river discharge rate record in 2018. The conclusion oh this research is the discharge rate in headwaters area is affected by rainfall intensity, but not necessarily affected to hydro electric energy productivity.   ABSTRAK Tujuan dari penelitian ini adalah untuk mengetahui pengaruh curah hujan dan debit air terhadap produktivitas energi listrik yang dihasilkan pada pembangkit listrik tenaga air (Studi Kasus: Sub Unit PLTA Kracak, Kabupaten Bogor Jawa Barat). Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan pendekatan kuantitatif teknik analisis data regresi berganda untuk mendiskripsikan data penelitian curah hujan dan debit air terhadap produktivitas energi listrik yang dihasilkan. Berdasarkan data hasil penelitian yang diperoleh di Sub Unit PLTA Kracak data curah hujan tertinggi pada tahun 2018 di Bulan Juni sebesar 15,84 mm dapat menghasilkan energi listrik sebesar 173,593 kWh dan terendah di Bulan Juli sebesar 0,86 mm dapat menghasilkan energi listrik sebesar  49,772 kWh dengan rata-rata pertahun 2018 yaitu sebesar 8,9592 mm di tiga stasiun. Sedangkan data debit air pada tahun 2018 tertinggi di Bulan Februari sebesar 10,08 m3/detik dapat menghasilkan energi listrik sebesar 198,296 kWh dan terendah di Bulan Juli sebesar 3,53 m3/detik dapat menghasilkan energi listrik sebesar 49,772 dengan rata-rata pertahun 2018 debit air sebesar 7,9858 m3/detik. Dengan rata-rata curah hujan 8,9592 mm dan debit air 7,9858 m3/detik dapat menghasilkan energi listrik rata-rata pertahun 2018 sebesar 156,0105 kWh selama tahun 2018. Dapat disimpulkan curah hujan tidak berpengaruh langsung terhadap produktivitas energi listrik yang dihasilkan sedangkan debit air berpengaruh terhadap produktivitas energi listrik.


Author(s):  
Moslem Sami ◽  
Habib Reyhani

This study evaluated the impacts of cotton farming on the climate changes in terms of energy and greenhouse gas (GHG) emission indices. Energy consumption pattern and sensitivity of energy inputs were evaluated and share of each input in GHG emissions was determined in the form of direct and indirect emissions for cotton farms in Golestan province of Iran. The total energy input and energy output were calculated to be 34,424.19 and 41,496.67 MJ/ha respectively. The share of fertilizers by 45.0 % of total energy inputs was the highest. This was followed by energies of fuel (18.4 %) and irrigation (17.9 %) respectively. Fertilizers and fuels were also the biggest producers of GHGs in the farms with shares of 61.95 and 24.32 % of total GHGs emission. Energy ratio, energy balance, energy intensity and energy productivity were found as 1.21, 7,072.48 MJ/ha, 9.79 MJ/kg and 0.10 kg/MJ, respectively. Results of sensitivity analysis indicated that the cotton production was more sensitive to energies of seed and human labour than other inputs and an additional use of 1 MJ of each of these inputs would lead to a change in the yield by −0.75 and 0.73 kg/ha, respectively. The results also showed, in the process of cotton farming 897.80 and 1177.67 kg CO2 – equivalent of direct and indirect GHG were emitted per hectare respectively.


Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1829 ◽  
Author(s):  
Piotr Olczak ◽  
Dominika Matuszewska ◽  
Jadwiga Zabagło

In Poland, various solar collector systems are used; among them, the most popular are flat plate collectors (FPCs) and evacuated tube collectors (ETCs). The work presents two installations located at a distance of 80 km apart, working in similar external conditions. One of them contains 120 flat plate collectors and works for the preparation of hot water in a swimming pool building; the second one consists of 32 evacuated tube collectors with a heat pipe and supports the preparation of domestic hot water for a multi-family house. During the comparison of the two quite large solar installations, it was confirmed that the use of evacuated tube solar collectors shows a much better solar energy productivity than flat plate collectors for the absorber area. Higher heat solar gains (by 7.9%) were also observed in the case of the gross collector area. The advantages of evacuated tube collectors are observed mainly during colder periods, which allows for a steadier thermal energy production.


Energy ◽  
2019 ◽  
Vol 167 ◽  
pp. 1251-1265 ◽  
Author(s):  
Moncef Krarti ◽  
Kankana Dubey ◽  
Nicholas Howarth

2021 ◽  
Author(s):  
Yuliani Dwi Lestari ◽  
G. Yudoko ◽  
T.M. Simatupang ◽  
F.A. Amalia

Food Research ◽  
2020 ◽  
Vol 4 (S5) ◽  
pp. 34-39
Author(s):  
Liyana N.A. ◽  
D.E. Pebrian

Preservation of energy resources for crop production is a crucial act in an endeavour to make agriculture more sustainable. In response to that matter, this study aims to analyse and evaluate energy use pattern and its economic in rockmelon (Cucumis melo) production in Malaysian farms. Face-to-face interviews with the sampled farmers were employed to collect the data through a case study in Klang district, Selangor state of Malaysia. The collected data was then analysed using mathematical operations and spreadsheet software. The results indicated that the total energy inputs in rockmelon were 4475.62 MJ/ha. The highest portion, which accounted for 73.29% of the total energy inputs were consumed by fertilizers, while the lowest portion was used for seed (0.01%). The total energy inputs were formed from 85.12% indirect energy and 14.88% direct energy; and 85% non-renewable energy and 15% renewable energy. The net energy and energy productivity values were 11332.85 MJ/ha and 2.81 kg/MJ, respectively. The farmers gained 29.94% profit margin from their farms business. The ratio of energy output -inputs in rockmelon production was 5.34. As the ratio was much greater than 1, thus, conclusively, the energy inputs used by the farmers in the process of rockmelon production was highly efficient.


2020 ◽  
Vol 4 (2) ◽  
pp. 159
Author(s):  
Nobertus Purnomo Lastu ◽  
Werner Ria Murhadi ◽  
Ratna Widyanti W

Bank Perkreditan Rakyat (BPR) is part of  the  banking  financial institutions  apart from the commercial  banking. .One of the activities of the BPR is to distribute the credits as done by the commercial banks. Problems. BPR as micro financial institutions, in doing their business to  distribute  the credit up to certain amount, are faced with  the  commercial banks  which  have more  competitive advantages, both in the price  and facilities provided. Objective of this research is to identify the factors influencing the customers in making decisions to take the credit at BPR. By identifying the determinant factors in choosing the banks, BPR can use it to improve their services to the customers and at the same time BPR can use it as a strategy in  giving credit to the customers or debtors. The metode employed in this study was regressive logistic method, which was  used to  identify  what factors determine the customers to choose credit at BPR. The conclusion is that the procedures and personality of staff are the main factors making the customers choose credit at BPR


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