<p><em>The human needs for electrics energy, especially in Kaimana regency is increasing together with city development and increasing of the resident. The electric energy supply from diesel power plant in PT. PLN (Persero) is very limited, electrical distinguishing and electrical black out are frequently happened. The potential of renewable energy like wind power is very potential to be developed as electrical energy source. </em><em>Result of the study shows that the average of wind speed is 4.68 metres/second and it can be classified in third class energy. The potential of wind power in Kaimana regency is 267.7 Watt for diameter 2m and 415.60 Watt for diameter 3m.</em></p>

Tujuan dari penelitian ini adalah menganalisis potensi energi listrik di kabupaten Manokwari Selatan. Penelitian dilaksanakan pada bulan Juli 2019 di Kabupaten Manokwari Selatan pada tiga Distrik. Survei geologi dilakukan dengan pendekatan geologi regional Lembar Ransiki. Untuk analisis hidrologi dan kemiringan lereng dilakukan dengan menggunakan citra satelit, Digital Elevation Model (DEM) dan Peta Rupa Bumi Indonesia (RBI) dan aplikasi Sistem Informasi Geografis (SIG) serta pengukuran di lapangan untuk penentuan debit lapangan. Kondisi hidrologi yang menjadi kajian meliputi potensi debit dan curah hujan. Perhitungan debit air pada DAS menggunakan metode FJ. Mock. Data evapotranspirasi potensial dihitung dengan menggunakan metode Pennman Modifikasi. Penelitian ini menunjukkan bahwa debit andalan pada sungai Susmorof mencapai 1500 L/dt masing-masing untuk kepentingan pengembangan sistem. Total potensi PLTMH di dua lokasi yang dikaji adalah sebesar 30,4 kW di sungai Bengko kampung Sihu dan 73,4 kW. Untuk pengembangan PLTMH di Kampung Susmorof hal ini penting untuk ditindaklanjuti pada tahapan studi kelayakan dan penyusunan perencanaan detail desain.THE ANALYSIS OF RENEWABLE ENERGY POTENTIAL OF MICROHYDRO POWER PLANT IN SOUTH MANOKWARIThe purpose of this study was to analyze the potency of electrical energy in South Manokwari district. The research was conducted in July 2019 in South Manokwari Regency in three districts. The geological survey was carried out using the Ransiki Sheet regional geological approach. For hydrological and slope analysis, satellite imagery, Digital Elevation Model (DEM) and Indonesian Earth Map (RBI) and Geographic Information System (GIS) applications as well as measurements in the field were used to determine field discharge. The hydrological conditions under study include the potential for discharge and rainfall. Calculation of water discharge in the watershed uses the FJ Mock method. Potential evapotranspiration data were calculated using the Modified Pennman method. This study shows that the mainstay discharge in the Susmorof river reaches 1500 L/s each for the purpose of system development. The total potential for MHP in the two locations studied are 30.4 kW in the Bengko river, Sihu village and 73.4 kW. For the development of MHP in Susmorof Village, this is important to be followed up at the stage of feasibility studies and preparation of detailed design planning.

The impact of the implementation of the renewable energy power plant to GHG emission has been analyzed in this study. Four types of the renewable power plant have been simulated in the model which are hydro, biomass, solar, and wind power plant. The bottom-up model has been developed to conduct the analysis. In the developed model, two scenarios have been generated. BAU scenario represents power system expansion planning without any renewable power plant. On the other hand, the RPP scenario represents the role of renewable power plant in the system. Contribution of renewable power plant has been analyzed in two aspects which are contribution to the production of electricity and to the reduction of GHG emission. The model has been implemented using LEAP software combined with the optimization solver. The comparison of two generated scenario is summarized as cost-benefit analysis. The result showed that the implementation of renewable energy power plant reduced GHG emission by 43.38% cumulatively with the contribution of generated electricity by 42.62%. Cost-benefit analysis shows that the implementation of the renewable energy power plant produces NPV of 47.10 Million USD less than the BAU scenario.

A model of regional energy planning has been developed based in West Papua province. Regional energy planning had two major scenarios: baseline and mitigation. Mitigation scenarios consisted of energy efficiency and fuel switch scenarios. All scenarios are implemented for industrial, commercial, household, transportation, and other sectors. A baseline scenario has been used to reflect energy demand without any intervention from the new energy policy in West Papua Province. The energy efficiency scenario describes the impact of more efficient vehicles and appliances on energy consumption. In the transportation sector, the energy efficiency scenario included a mode change scenario. The use of renewable energy has been included in the fuel switch scenario. In supply-side planning, renewable energy sources have been accommodated to meet a portion of electricity demand. The model of regional energy planning has been implemented by Long-range Energy Alternative Planning software. A cost-benefit analysis has been included in this study. The result indicated that the same goal of a regional development program could be achieved with less emission. By implementing the mitigation scenario, overall energy demand at the end of the projection period can be reduced by 16.63 PJ compared to the baseline. As an impact, the mitigation scenario's global warming potential is 15.89% less than a baseline scenario. It can be concluded that the emission intensity by the implementation of the mitigation scenario is 8.93 Thousand Ton CO2, Equivalent/Billion USD.

AbstrakPenelitian ini fokus pada investiasi pengaruh interkoneksi PLTMH dan rekonfigurasi jaringan di Manokwari terhadap profil tegangan dan rugi-rugi saat luar waktu beban puncak (LWBP) dan saat waktu beban puncak (WBP). Hasil pengujian menunjukan bahwa interkoneksi PLTMH memperbaiki profil tegangan dan rugi daya pada penyulang lokasi interkoneksi (Maleo), namun berpengaruh kecil terhadap penyulang lainya. Pada penyulang Maleo dan Nuri, profil tegangan sistem 20 kV Manokwari tanpa PLTMH menghasilkan drop tegangan terbesar. Penyulang Maleo menghasilkan drop tegangan sebesar 18,40% saat LWBP dan 25,86% saat WBP, sedangkan penyulang Nuri sebesar 6,61% saat LWBP dan 7,78% saat WBP. Interkoneksi PLTMH pada penyulang Maleo berpengaruh besar terhadap profil tegangan dengan drop tegangan sebesar 5.53% saat LWBP dan 8.83% saat WBP, sedangkan penyulang lainnya berkisar 1,48 -6,31% saat LWBP dan 2,24 -7,35% saat WBP. Rekonfigurasi jaringan menghasilkan drop tegangan sebesar 5,52% saat LWBP dan 8,69% saat WBP. Rugi daya sistem tanpa interkoneksi PLTMH ditemukan pada penyulang Maleo sebesar 324,198 kW saat LWBP dan 605,565 kW saat WBP. Interkoneksi PLTMH menyebabkan penurunan rugi daya terbesar pada penyulang maleo sebesar 92,031 kW saat LWBP sedangkan saat WBP sebesar 178,261 kW. Setelah rekonfigurasi jaringan rugi daya juga mengalami perbaikan sebesar 90,819 kW saat LWBP dan 171,49 kW saat WBP. AbstractThis research focused on investigating the influence of MHP interconnection and network reconfiguration at Manokwari on the voltage profile and losses during peak load time (LWBP) and during peak load time (WBP). The test results showed that the MHP interconnection improved the voltage and power loss profiles of interconnecting feeders (Maleo feeders), but had little effect on other feeders. In Maleo and Nuri feeders, the highest voltage drop was achieved at the voltage profile of the 20 kV Manokwari system without PLTMH. The Maleo feeder produced a voltage drop of 18.40% at LWBP and 25.86% at WBP, while the Nuri feeder was 6.61% at LWBP and 7.78% at WBP. The interconnection of MHP on Maleo feeders gave a significant effect on the voltage profile with a voltage drop of 5.53% at LWBP and 8.83% at WBP, while the other feeders were in the range of 1.48 -6.31% at LWBP and 2.24 -7.35% at WBP. The network reconfiguration produced a voltage drop of 5.52% at LWBP and 8,69% at WBP. The system power loss without PLTMH interconnection was found in Maleo feeders of 324,198 kW at LWBP and 605,565 kW at WBP. The interconnection of the MHP contributed to highest reduction in power loss of Maleo feeders by 92.031 kW at LWBP and 178.261 kW at WBP. After the network reconfiguration, the power loss was improved to 90.819 kW at LWBP and 171.49 kW at WBP.