Assessing the Sustainable Development of Micro-Hydro Power Plants in an Isolated Traditional Village West Java, Indonesia
Abstract
:1. Introduction
2. Materials and Methods
2.1. Site Description
2.2. Investigation and Analysis
2.2.1. Sustainable Development Indicator Analysis
- SDI: score of the sustainable development indicator;
- Vi: value of the indicator;
- Vt: value of the target level.
2.2.2. Social Surveys
2.2.3. Land Cover Analysis
3. Results
3.1. General Situations for Kasepuhan Ciptagelar
3.2. Land Cover
3.3. Sustainable Development Indicators Score
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
No. | Indicator * | How to Measure * | Unit | Target Level Determination ** |
---|---|---|---|---|
Technical | ||||
1 | Capacity Factor | The gross energy (kWh) divided by the total installed capacity (kW) when the plant operated for 8760 h/yr | % | Capacity factors of hydropower projects worldwide yield between 23% and 95% |
2 | Compatibility with national grid | Field Survey | Yes/No | To increase its sustainability, MHPPs should be readily interconnected in the future, and follow the national grid standard installation. |
3 | Daily operation Services | Hours of daily’s operation hours | Hour | Electricity is essential, and people need it all the time. The target is 24 h a day. |
4 | Service availability | Number of hours electricity’s in the planning minus hours of outages; divided by the number of hours electricity’s in planning | % | The best service availability is 100% |
Economic | ||||
5 | Profitability | Total profit (revenue − O&M cost) (Rp/yr), divided by total revenue (Rp/yr) × 100% | % | The average profitability of micro-hydro in Indonesia is around 35% |
6 | Share of profit set aside for re-investment | The total profit (revenue − O&M cost) (Rp/yr), divided by the total cost of equipment depreciation (Rp/yr) × 100% | % | The visibility of a good project has an investment rate of at least 100%. |
7 | Tariff lag | The ratio between the change of electricity tariff (%) and change in inflation (%) × 100% | % | The economic feasibility analysis of the MHP projects in Wonosobo, Indonesia, determined that the tariff increases annually by 3% |
8 | Share of electricity consumed by businesses | The ratio between electrification for businesses (kWh/yr) and the net of electrical production (kWh/yr) × 100% | % | As much as 5% of the minimal of electricity consumed for the business to generate income and significant change of economic |
9 | Share of electricity households for income | The ratio between electrifying use for household businesses (HH) and the total number of households electrification (HH) × 100% | % | The minimum is 10% for the target level |
10 | Business development | Number of businesses development on yearly basis | unit | One business has been developed as the minimum target |
Social | ||||
11 | Share of health centers and school with electricity | The ratio between the number of electrified public center (unit) and the total number of public center (Unit) × 100% | % | The electricity share for health facilities and schools is between 70–100%. Set the target at 90% |
12 | Number of streetlights in the area | Streetlights are available every forty meters | unit | The target number of streetlights is one for every 40 m |
13 | Micro-credit possibilities available for connection | Number of microcredits available in the area | unit | At least one microcredit service is available |
14 | Share of population with primary school education | The ratio between the number of adult inhabitants with elementary school education (person) and the total number of adult inhabitants × 100% | % | Electricity is provided for the entire household. |
15 | Share of population with access to electricity | The ratio between number of electrified households (person) multiplied by average inhabitants per household and the total number of inhabitants | % | Electricity is provided for the entire households |
16 | Subsidies offered for electricity services | Number of electricity bills that are subsidized (Rp/yr) divided by the total number of electricity bills (Rp/yr) | % | Set as maximum 1% |
17 | Share of economically active children | Number of economically active children (person) divided by the number of children (person) | % | Set the maximum share of economically active children as 5% |
Environment | ||||
18 | Share of renewable energy in production | Gross electricity production from micro-hydro (kWh/yr) divided by total electricity production (kWh/yr) | % | Set the highest target as 100% |
19 | Emissions of carbon dioxide from production | Gross electricity of MHP (kWh/yr), multiplied by emission factor (ton CO2/kWh) | Ton CO2/kwh | For Sustainable development, the target is set as 0 ton CO2 |
20 | Share of Electrified households where electricity has replaced other energy source for lighting | The ratio between the number of Households that use electricity for lighting (HH) and the total households (HH) | % | The target minimum is set as 100% for electricity as a source for lighting |
21 | Share of Electrified households where electricity has replaced other energy source for cooking | The ratio between the number of Households that use electricity for cooking (HH) and the total households (HH) | % | The target minimum is set as 50% for electricity as a source for cooking |
22 | Any serious environment impact identified | Survey identification | Yes/No | The PLTMH causes no environmental impacts |
23 | Extreme weather condition | Number of times the project disturbed by extreme weather | Times | The target set that there were no extreme conditions that would disrupt the operation of the MHPPs |
Institutional | ||||
24 | Share of staff with appropriate education | The ratio between the number of staff with technical background and the total staff | % | At least two staff members have technical skills. This study set minimum staff as many 50% |
25 | Staff turnover in organization | The ratio between the number of staff that leave and total staff | % | Staff turnover will have a negative impact. A minimum target is set to be no turnover |
26 | Number of years in business | Total number operation of MHP | Year | The operation time of MHP was approximately 66 months. |
27 | Share of non-technical losses | Total unpaid bills (Rp/yr), divided by total bills (Rp/yr) | % | The smaller, the better; the minimum value was set to be 0% |
28 | Level of satisfaction with energy services | The ratio between the number of electrified households that are satisfied and the total number of households | % | The more people satisfied, the better. This study set the maximum value as 100% |
29 | Auditing of financial reports on yearly basis | Number of times audited report on a yearly basis | times | Set the minimum target as one time audit in this study |
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MHP Plants | Turbine | Head (m) | Flow (L/s) | Output (kW) | Generator |
---|---|---|---|---|---|
Cicemet * | Cross flow | 17 | 348 | 60 | - |
Cibadak | Cross flow | 15 | 300 | 58 | Synchronous |
Situmurni 2 | Cross flow | 13.5 | 349 | 48 | Synchronous |
Situmurni 1 * | Turbo Propeller | 11.5 | 397 | 40 | Synchronous |
Sustainability Indicator | Target Level | Indicator Value | |
---|---|---|---|
Cibadak | Situmurni 2 | ||
Technical Indicators (TI): | |||
| Min 95% | 49.5% | 55% |
| Yes | Yes | No |
| 24 h | 24 h | 24 h |
| 100% | 91% | 94% |
Economic Indicators (BI): | |||
| Min 35% | 63% | 41% |
| 100% | 9% | 8% |
| Min 21% | 0% | 0% |
| Min 5% | 0.95% | 0% |
| Min 5% | 2.6% | 0% |
| Min 1 unit | 1 | 0 |
Social Indicators (SI): | |||
| Min 90% | 100% | 100% |
| Min 1/40 | 0 | 0 |
| Min 1 unit | 0 | 0 |
| Min 80% | 92% | 95% |
| Min 90% | 100% | 100% |
| Max 1% | 0.97% | 2.47% |
| Max 5% | 2% | 1% |
Environmental Indicators (EI): | |||
| 100% | 100% | 100% |
| 0 Ton CO2/yr | 0 Ton CO2/yr. | 0 Ton CO2/yr. |
| 100% | 100% | 100% |
| Min 50% | 0% | 0% |
| No | No | No |
| Never | Never | Never |
Institutional Indicators (II): | |||
| Min 50% | 33% | 33% |
| 0% | 0% | 0% |
| Min 5 yr. | 7 yr. | 6 yr. |
| 0% | 20.21% | 20.77% |
| 100% | 98% | 96% |
| Once/yr. | 0 | 0 |
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Isa, M.A.; Sudjono, P.; Sato, T.; Onda, N.; Endo, I.; Takada, A.; Muntalif, B.S.; Ide, J. Assessing the Sustainable Development of Micro-Hydro Power Plants in an Isolated Traditional Village West Java, Indonesia. Energies 2021, 14, 6456. https://doi.org/10.3390/en14206456
Isa MA, Sudjono P, Sato T, Onda N, Endo I, Takada A, Muntalif BS, Ide J. Assessing the Sustainable Development of Micro-Hydro Power Plants in an Isolated Traditional Village West Java, Indonesia. Energies. 2021; 14(20):6456. https://doi.org/10.3390/en14206456
Chicago/Turabian StyleIsa, Muhamad Alhaqurahman, Priana Sudjono, Tatsuro Sato, Nariaki Onda, Izuki Endo, Asari Takada, Barti Setiani Muntalif, and Jun’ichiro Ide. 2021. "Assessing the Sustainable Development of Micro-Hydro Power Plants in an Isolated Traditional Village West Java, Indonesia" Energies 14, no. 20: 6456. https://doi.org/10.3390/en14206456
APA StyleIsa, M. A., Sudjono, P., Sato, T., Onda, N., Endo, I., Takada, A., Muntalif, B. S., & Ide, J. (2021). Assessing the Sustainable Development of Micro-Hydro Power Plants in an Isolated Traditional Village West Java, Indonesia. Energies, 14(20), 6456. https://doi.org/10.3390/en14206456