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Bolaji Fatai Sule
"Small hydropower has been found to have a positive effect on the quality of life of rural dwellers in numerous ways. It provides a wide range of services, such as improved lighting; energy for small industries, schools, computer and communication service centers, clinics, and entertainment centers; and operations of a range of domestic and light industrial appliances. Nigeria has many dams built for irrigation and water supply, but these may still have the potential for other uses. One such dam is the Doma dam in north central Nigeria. The dam has a live storage of 30 Mm3 and a yearly average inflow of 114 Mm3. This study is a hydrological investigation concerning the possibility of using the dam for power generation. An artificial neural network model, as automated in ALYUDA Forecaster XL, was used to extend the available streamflow record at the dam site. Thereafter, a reservoir yield–capacity analysis was carried out by maximizing the unknown releases subject to storage capacity constraints. The sequent peak algorithm was used to establish the real storage needed to meet the primary demands, including ecological releases and evaporation losses. The results showed that the maximum monthly yield from the reservoir is 6.56 Mm3, while the storage required to satisfy the dam’s primary functions is 12.07 Mm3. This means that there is 16.93 Mm3 of monthly excess stored water, or 6.53 m3/s, which can be used for other purposes, such as electricity generation. Considering 50%, 75%, and 100% usage of the excess stored water with a head of 20 m, the power potentials were found to be 0.51 MW, 0.77 MW, and 1.03 MW, respectively. It is expected that providing 2×500 kW Kaplan turbines to operate for 12 hours a day will deliver between 2.0 and 4.0 GWh of energy yearly to the immediate communities in the Doma local government area."
Depok: Faculty of Engineering, Universitas Indonesia, 2018
UI-IJTECH 9:1 (2018)
Artikel Jurnal  Universitas Indonesia Library
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Iwan Supriyadi
"The Role of an Engineer in Accelerating the Progress of a Hydroelectric Power Construction Project (PLTA) in Indonesia (Case Study of Nippon Koei Co., Ltd.'S Hydroelectric Power Projects)Indonesia is well endowed with hydropower potential, which is renewable and indigenous energy, with natural support of ample rainfall. The construction of hydropower (PLTA) will conserve the exportable resources such as oil, natural gas and coal, and thus contribute to Indonesia's foreign exchange earnings. The fact that the hydroelectric power is a kind of complex and diversified project involving many parties within the limited space and management, then the presence of a qualified consulting engineer is required to ensure that the Project be completed to quality, to time and to cost.
Selecting a consultant is one of the most important decisions an owner or client makes. The success of the Project often depends on obtaining the most able, experienced, and reputable consulting firm. The procurement of a consulting engineer is merely based on the following 3 (three) principal categories: (a) Experience in similar projects (20 % weight) ; (b) Approach and methodology (30 % weight) ; (c) Qualification and competence of the personnel proposed (50 % weight). These categories justify the qualification of a consulting firm selected. This thesis investigates the relationship between the qualification of a consulting engineer supervising the construction of a hydroelectric power and its progress.
Nippon Koei Co., Ltd., being the first private independent consulting firm in Japan established in 1946, was selected as the consulting firm with samples of projects including Tanggari-II, Besai, Renun and Musi Hydroelectric Power. Nippon Koei Co., Ltd. has been involved over a long period of time in the development of a number of hydroelectric power projects in Indonesia providing extensive accumulated experience and knowledge therefrom.
The required data (secondary data) was obtained from the Monthly Progress Report. The progress of the Project was easily noted from the "S-Curve" and the quality of the Consultant was reflected in the Manning Schedule. Other variables such as productivity level of each expert, the role of Owner and Contractor, and procurement method were assumed to be constant. SPSS 7.5 for Windows was used to run the data for regression analysis.
The result yielded a significant relationship in the form of a positive correlation between quality of the Consultant and progress of the Project. It is, therefore, justifiable to conclude that the more qualified consulting firm will positively accelerate the completion of the hydroelectric power projects in Indonesia."
Depok: Fakultas Teknik Universitas Indonesia, 2000
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UI - Tesis Membership  Universitas Indonesia Library