ANALISIS POTENSI ENERGI MATAHARI MENJADI ENERGI LISTRIK DI INDONESIA: PROYEKSI DAN PERAMALAN KAPASITAS TERPASANG PLTS DENGAN METODE DOUBLE EXPONENTIAL SMOOTHING

Main Article Content

Hizkia Timotius
Joni Welman Simatupang
Mutiara Andriani
Praja Situmeang
Indra Ramos SM
Muamar Fauzi

Abstract

This study endeavors to assess the progression in the installed capacity of Solar Power Plants (PLTS) in Indonesia, given that the obtained data indicates a solar energy potential of 207,898 MW in the country. However, the installed capacity of Solar Photovoltaic (PV) Power Plants (PLTS) is still low compared to other types of power plants. In the projection for the National Electricity Supply Business Plan (RUPTL) 2021-2030, it is expected that the installed capacity of PLTS will increase to 4.7 GWp by 2030, but this is still far from the target projection of 800-840 GWp by 2050 according to IRENA. Through forecasting using three methods, namely moving average, single exponential smoothing, and double exponential smoothing, the projected installed capacity for the year 2050 significantly deviates from IRENA's projection. Historical data of installed capacity of PLTS from 2010 to 2022 was used as the basis for the forecasting. The results of the three forecasting methods were compared to assess their accuracy and performance in predicting the installed capacity of PLTS in the future years. This study suggests using the double exponential smoothing method as a feasible forecasting technique and emphasizes the need for further research on inhibiting factors and support from various stakeholders to successfully utilize solar energy as a source of electricity in Indonesia. The findings of this research provide guidance for the planning and development of PLTS in the future, as well as important implications for achieving the national renewable energy projection targets.


ABSTRAK:


Studi ini berupaya untuk menilai perkembangan kapasitas terpasang Pembangkit Listrik Tenaga Surya (PLTS) di Indonesia mengingat data yang diperoleh menunjukkan potensi energi surya sebesar 207.898 MW di Indonesia. Namun, kapasitas terpasang Pembangkit Listrik Tenaga Surya (PLTS) masih rendah dibandingkan jenis pembangkit lainnya. Dalam proyeksi RUPTL 2021-2030, diharapkan kapasitas terpasang PLTS meningkat menjadi 4,7 GWp pada tahun 2030, tetapi tetap jauh dari target proyeksi IRENA yang mencapai 800-840 GWp pada tahun 2050. Melalui peramalan menggunakan tiga metode, yaitu moving average, single exponential smoothing, dan double exponential smoothing, diperoleh hasil kapasitas terpasang pada tahun 2050 dengan selisih yang signifikan dari proyeksi IRENA. Data historis kapasitas terpasang PLTS dari tahun 2010 hingga 2022 diambil sebagai dasar peramalan. Hasil peramalan dari ketiga metode tersebut dibandingkan untuk menilai akurasi dan kinerjanya dalam memprediksi kapasitas terpasang PLTS pada tahun-tahun mendatang. Penelitian ini menyarankan penggunaan metode double exponential smoothing sebagai metode peramalan yang layak, dan menekankan perlunya penelitian lebih lanjut mengenai faktor penghambat dan dukungan dari berbagai pihak untuk berhasilnya pemanfaatan energi surya sebagai sumber tenaga listrik di Indonesia. Hasil penelitian ini memberikan panduan untuk perencanaan dan pengembangan PLTS di masa depan, serta implikasi penting dalam mencapai target proyeksi energi terbarukan nasional.

Article Details

How to Cite
[1]
H. Timotius, J. Welman Simatupang, M. Andriani, P. Situmeang, I. Ramos SM, and M. Fauzi, “ANALISIS POTENSI ENERGI MATAHARI MENJADI ENERGI LISTRIK DI INDONESIA: PROYEKSI DAN PERAMALAN KAPASITAS TERPASANG PLTS DENGAN METODE DOUBLE EXPONENTIAL SMOOTHING”, TESLA, vol. 25, no. 2, pp. 183–195, Nov. 2023.
Section
Articles
Author Biography

Joni Welman Simatupang, (Scopus ID: 55548849100) Universitas Presiden

 

 

References

E. Usman, Bauran Energi Nasional 2020. Jakarta Selatan: Dewan Energi Nasional, 2020.

N. A. Adistia, R. A. Nurdiansyah, J. Fariko, V. Vincent, and J. W. Simatupang, “Potensi Energi Panas Bumi, Angin, Dan Biomassa Menjadi Energi Listrik Di Indonesia,” TESLA J. Tek. Elektro, vol. 22, no. 2, p. 105, 2020, doi: 10.24912/tesla.v22i2.9107.

R. J. Hyndman, A. B. Koehler, J. K. Ord, and R. D. Snyder, Forecasting with Exponential Smoothing: The State Space Approach. Springer, 2008.

IESR, Indonesia Energy Transition Outlook 2023: Tracking Progress of Energy Transition in Indonesia: Pursuing Energy Security in the Time of Transition. Jakarta: Institute for Essential Services Reform (IESR), 2023.

PT. PLN (PERSERO), “Rencana Usaha Penyediaan Tenaga Listrik (RUPTL) PT PLN (Persero) 2021-2030.,” Rencana Usaha Penyediaan Tenaga List. 2021-2030, pp. 2019–2028, 2021.

PT PLN, “Statistik PLN 2021,” Stat. PLN 2021, vol. 01001–2206, no. Juni, pp. 49–58, 2021.

PT PLN (Persero), “Statistik PLN 2022,” Stat. PLN, no. 03001, p. 98, 2023.

F. Goswami, D. Yogi; Kreith, Energy conversion, Second Edition. CRC Press, 2017.

S. S. Joshi and A. S. Dhoble, “Photovoltaic -Thermal systems (PVT): Technology review and future trends,” Renew. Sustain. Energy Rev., vol. 92, no. May, pp. 848–882, 2018, doi: 10.1016/j.rser.2018.04.067.

K. T. . S. Mauriraya, Pengenalan Pembangkit Listrik Tenaga Surya (PLTS), Cetakan Pe. Jakarta Barat: Institut Teknologi PLN, 2021.

J. W. Simatupang and D. A. Faskayana, “Feasibility Study of Photovoltaic - Diesel Hybrid Power System as Renewable Energy Source,” Ijireeice, vol. 7, no. 3, pp. 56–63, 2019, doi: 10.17148/ijireeice.2019.7312.

N. Safitri, P. N. Lhokseumawe, T. Rihayat, and P. N. Lhokseumawe, BUKU TEKNOLOGI PHOTOVOLTAIC, no. June 2020. Yayasan Puga Aceh Riset, 2019.

M. Wolf, “Performance analyses of combined heating and photovoltaic power systems for residences,” Energy Convers., vol. 16, no. 1–2, pp. 79–90, 1976, doi: 10.1016/0013-7480(76)90018-8.

F. Huide, Z. Xuxin, M. Lei, Z. Tao, W. Qixing, and S. Hongyuan, “A comparative study on three types of solar utilization technologies for buildings: Photovoltaic, solar thermal and hybrid photovoltaic/thermal systems,” Energy Convers. Manag., vol. 140, pp. 1–13, 2017, doi: 10.1016/j.enconman.2017.02.059.

M. R. S. Ramadhan, M. Ikhsan, R. M. Putra, J. W. Simatupang, S. Mau, and E. R. Kaburuan, “Waste-to-Energy Potential Using Municipal Solid Waste as One Implementation of Jakarta Smart City,” J. Serambi Eng., vol. 6, no. 4, pp. 2382–2394, 2021, doi: 10.32672/jse.v6i4.3499.

W. Sari, “Perbandingan Metode Double Exponential Smoothing, Simple Moving Average dan Least Square untuk Forecasting Penjualan Semen,” pp. 1–83, 2020.

R. Fajri and T. M. Johan, “IMPLEMENTASI PERAMALAN DOUBLE EXPONENTIAL SMOOTHING PADA KASUS KEKERASAN ANAK DI PUSAT PELAYANAN TERPADU PEMBERDAYAAN PEREMPUAN DAN ANAK,” vol. 4, pp. 6–13, 2017.

S. I. Rahayu and J. Arifin, “Penerapan Metode Double Exponential Smoothing dan Regresi Linier pada Peramalan Persediaan Packaging di PT . XYZ.”

D. P. Rusy Ariyanto, “Penerapan Metode Double Exponential Smoothing Pada,” J. Inform. Polinema, vol. 4, no. 1, pp. 57–62, 2017.

H. D. P. Habsari, I. Purnamasari, and D. Yuniarti, “Forecasting Uses Double Exponential Smoothing Method and Forecasting Verification Uses Tracking Signal Control Chart (Case Study: Ihk Data of East Kalimantan Province),” BAREKENG J. Ilmu Mat. dan Terap., vol. 14, no. 1, pp. 013–022, 2020, doi: 10.30598/barekengvol14iss1pp013-022.