Regional Energy Master Plan based on Low Emission Scenarios: Case Study of Central Java Province, Indonesia

Lilies Setiartiti, Dessy Rachmawatie

Abstract


The current energy crisis momentum is the right time to redesign energy policy; otherwise, the energy deficit will continue and influence economic activities. For this reason, this research took Central Java Province as a case study. This research aims to estimate energy demand, the dominance of energy use, and energy efficiency. In this study, energy demand was modeled by sector using the intensity approach to calculate the energy used per activity unit. Low Emissions Analysis Platform (LEAP) model was then utilized to figure out future trends in energy demand and energy structure from 2015 to 2030 under different scenarios, including Business as Usual (BAU), Moderate (MOD), and Optimistic (OPT) scenarios. The results uncovered that energy demand in Central Java has grown by 5.6% per year, and the overall final energy demand is 1,683,091.24 thousand BOE. In this case, the transportation and household sectors are the largest and second-largest consumers, while premium and electricity are the dominant components in this province. In addition, efficiency energy could be achieved in 2021 and 2017, respectively, under the MOD and OPT scenarios. From the utilization of renewable energy, Central Java also contributes 1.17% to the utilization of renewable energy nationally. Overall, this research provides important insights and highlights possible steps for policymakers in developing energy efficiency policies.


Keywords


LEAP; Central Java; Energy Plan; Scenario

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References


Aqeel, A., & Butt, M. S. (2001). The relationship between energy consumption and economic growth in Pakistan. Asia-Pacific Development Journal 8, 101-109.

Barnes, R., Gillingham, R., & Hagemann, R. (1981). The Short-Run Residential Demand for Electricity. The Review of Economics and Statistics, 63(4), 541-552. https://doi.org/10.2307/1935850

Cai, Y. P., Huang, G. H., Yang, Z. F., & Tan, Q. (2009). Identification of optimal strategies for energy management systems planning under multiple uncertainties. Applied Energy, 86(4), 480–495. https://doi.org/10.1016/j.apenergy.2008.09.025

Chali, N., & Mulugeta, K. (2009). Energy Consumption and Economic Growth: Evidence from COMESA Countries. 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46450, Southern Agricultural Economics Association.

Cleveland, C. J., & Stern, D. I. (1993). Productive and exchange scarcity: an empirical analysis of the U.S. forest products industry. Canadian Journal of Forest Research, 23(8), 1537–1549. https://doi.org/10.1139/x93-194

Connolly, D., Lund, H., Mathiesen, B. V., & Leahy, M. (2010). A review of computer tools for analysing the integration of renewable energy into various energy systems. Applied Energy, 87(4), 1059–1082. https://doi.org/10.1016/j.apenergy.2009.09.026

Dahl, C., & Kurtubi, K. (2001). Estimating Oil Product Demand in Indonesia using a Cointegrating Error Correction Model. OPEC Review, 25(1), 1–25. https://doi.org/10.1111/1468-0076.00089

Feng, Y. Y., & Zhang, L. X. (2012). Scenario analysis of urban energy saving and carbon abatement policies: A case study of Beijing city, China. Procedia Environmental Sciences, 13, 632–644. https://doi.org/10.1016/j.proenv.2012.01.055

Ghader, S. F., Azadeh, M. A., & Zahed, S. M. (2006). Modeling and Forecasting the Electricity Demand for Major Economic Sectors of Iran. Information Technology Journal, 5(2), 260–266. https://doi.org/10.3923/itj.2006.260.266

Ghanadan, R., & Koomey, J. G. (2005). Using energy scenarios to explore alternative energy pathways in California. Energy Policy, 33(9), 1117–1142. https://doi.org/10.1016/j.enpol.2003.11.011

Guertin, C., Kumbhakar, S. C., & Duraiappah, A. K. (2003). Determining Demand for Energy Services: Investigating income-driven behaviours. International Institute for Sustainable Development. Retrieved from https://www.iisd.org/publications/report/determining-demand-energy-services-investigating-income-driven-behaviours

International Eenergy Association (IEA). (2008). World Energy Outlook 2008. Retrieved from https://www.iea.org/reports/world-energy-outlook-2008

International Energy Agency. (2000). Experience Curves for Energy Technology Policy. Paris: Organisation for Economic Co-operation and Development.

Karabulut, K., Alkan, A., & Yilmaz, A. (2008). Long Term Energy Consumption Forecasting Using Genetic Programming. Mathematical and Computational Applications, 13(2), 71–80. https://doi.org/10.3390/mca13020071

Kleemann, M. (1995). Energy Use and Air Pollution in Indonesia: Supply Strategies, Environmental Impacts and Pollution Control (Avebury Studies in Green Research). Avebury.

Meier, G. M. (1993). The new political economy and policy reform. Journal of International Development, 5(4), 381–389. https://doi.org/10.1002/jid.3380050404

Morse, E. L., & Jaffe, A. M. (2001). Strategic Energy Policy: Challenges for the 21ST Century. Council on Foreign Relations. Retrieved from http://www.jstor.org/stable/resrep00277.1

Nilsson, J. S., & Mårtensson, A. (2003). Municipal energy-planning and development of local energy-systems. Applied Energy, 76(1-3), 179–187. https://doi.org/10.1016/s0306-2619(03)00062-x

Pierce. W. S. (1996). Economics of the Energy Industry (2nd Ed). Westport Conn: Praeger.

Pindyck, R. S. (1979). The Structure of Energy Demand. The MIT Press, Cambridge.

Ramos-Martini, J., & Ortega-Cerdà, M. (2003). Non-Linear Relationship between Energy Intensity and Economic Growth. Paper submitted to the ESEE Conference Frontiers 2, held in Tenerife, Spain.

Rencana Umum Energi Daerah Central Java (RUED) (2009). Rencana Umum Energi Daerah. Central Java Province Regulation. Retrieved from https://ppid.esdm.jatengprov.go.id/dokumen/raperda/DRAFT-RAPERDA-RUED-2018.pdf

Reuter, A., & Voss, A. (1990). 6.2. Tools for energy planning in developing countries. Energy, 15(7-8), 705–714. https://doi.org/10.1016/0360-5442(90)90016-u

Schrattenholzer, L. (2004). Energy planning methodologies and tools. In: Theory and Practices for Energy Education, Training, Regulation and Standards. Eolss Publishers: Developed under the Auspices of the UNESCO. Retrieved from http://www.eolss.net/sample-chapters/c08/E3-03-10.pdf

Shan, B., Xu, M., Zhu, F., & Zhang, C. (2012). China's Energy Demand Scenario Analysis in 2030. Energy Procedia, 14, 1292-1298. https://doi.org/10.1016/j.egypro.2011.12.1091

Stern, D. I. (2010). The role of energy in economic growth. Centre for Climate Economics & Policy Crawford School of Economics and Government The Australian National University.

Stern, D.I., & Cleveland, C.J. (2004) Energy and Economic Growth. Rensselaer Working Paper in Economics No.0410. Rensselaer Polytechnic Institute, Troy, NY.

Sugiyono, A. (1995). An Energy-Economy Model to Evaluate the Future Energy Demand-Supply System in Indonesia. Master Thesis. Science University of Tokyo.

Sugiyono, A. (1999). Permintaan dan Penyediaan Energiberdasarkan Kondisi Perekonomian di Indonesia dengan Menggunakan Model Non-linear Programming. Analisis Sistem, 16-23.

Sugiyono, A., & Suarna, E. (2006). Optimasi Penyediaan Energi Nasional: Konsep dan Applikasi Model MARKAL. Conference: Seminar Nasional Matematika, Statistika, dan Pendidikan Matematika

Sweeney, J. L. (2001). Energy Economics. International Encyclopedia of the Social & Behavioral Sciences, 4513–4520. https://doi.org/10.1016/b0-08-043076-7/04174-7

Tao, Z., Zhao, L., & Changxin, Z. (2011). Research on the prospects of low-carbon economic development in China based on LEAP model. Energy Procedia, 5, 695–699. https://doi.org/10.1016/j.egypro.2011.03.123

Toman, M. T., & Jemelkova, B. (2003). Energy and Economic Development: An Assessment of the State of Knowledge. The Energy Journal, 24(4), 93-112. https://doi.org/10.5547/issn0195-6574-ej-vol24-no4-5

Tubbs, B. (2008). A Simulation Model of Energy Supply and Demand for Climate Policy Analysis. International Association for Energy Economics. Retrieved from https://www.iaee.org/proceedings/article/2248

Wangjiraniran, W., Vivanpatarakij, S., & Nidhiritdhikrai, R. (2011). Impact of Economic Restructuring on the Energy System in Thailand. Energy Procedia, 9, 25–34. https://doi.org/10.1016/j.egypro.2011.09.004

Wijaya, M. E., & Ridwan, M. K. (2009). Modul Pelatihan Perencanaan Energi. Yogyakarta: Universitas Gadjah Mada.

Winarno, O. T. (2007). LEAP (Long-range Energy Alternatives Planning System: Panduan Perencanaan Energi. Institute Teknologi Bandung.

XianDong, T., ZhaoGuang, H., BaoGuo, S., & MinJie, X. (2012). Study on the mid-long term electrification level of China. Energy Procedia, 14, 1439–1444. https://doi.org/10.1016/j.egypro.2011.12.1114

Zhao, S. (2008). China's Global Search for Energy Security: Cooperation and Competition in the Asia-Pacific. Journal of Contemporary China, 55, 207-227. https://doi.org/10.1080/10670560701809460




DOI: https://doi.org/10.18196/jesp.v23i1.14070

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