Energy security, uncertainty and energy resource use options in Ethiopia: A sector modelling approach

被引:14
作者
Guta D. [1 ]
Börner J. [2 ]
机构
[1] Center for Environment and Development Studies, Addis Ababa University, Addis Ababa
[2] Center for Development Studies, University of Bonn, Bonn
关键词
Dynamic programming; Electricity; Energy production; Energy sector; Hydropower; Innovation; Least cost; Linear programming; Optimization; Partial equilibrium; Simulation;
D O I
10.1108/IJESM-04-2015-0005
中图分类号
学科分类号
摘要
Purpose: Ethiopia’s energy sector faces critical challenges to meeting steadily increasing energy demand given limited infrastructure, heavy reliance on hydroelectric power and underdevelopment of alternative energy resources. The purpose of this paper was to identify optimal least cost investment decisions for integrated energy source diversification. The authors seek to contribute to the relevant literature by paying particular attention to the role of public policy for promoting renewable energy investment and to better understand future energy security implications of various sources of uncertainty. Design/methodology/approach: The authors created a dynamic linear programming model using General Algebraic Modelling System software to explore the national energy security implications of uncertainties associated with increasing technological advances and efficiency, and climate change scenarios. Findings: To cope with the impacts of drought expected from future climate change on hydroelectric power production, Ethiopia would need to invest in the development of alternative energy resources. Such investment would not only enhance the sustainability and reliability of energy production but also increase costs. Greater rates of technological and efficiency innovations, however, were found to improve electricity diversification and reduce production costs and shadow prices or resource scarcity, and are thus key for enhancing energy security and reducing the risks posed by drought. Originality/value: The dynamic linear programming model by the authors represents a flexible sector modelling tool for exploring the sustainability and efficiency of energy resource development pathways and evaluating the effects of different sources of uncertainty on the energy sector. © 2017, © Emerald Publishing Limited.
引用
收藏
页码:91 / 117
页数:26
相关论文
共 50 条
[41]   New and renewable energy resources in the Indonesian electricity sector: a systems thinking approach [J].
Sunitiyoso, Yos ;
Mahardi, Johan Prabandono ;
Anggoro, Yudo ;
Wicaksono, Agung .
INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2020, 14 (06) :1381-1403
[42]   Optimization Algorithms for Home Energy Resource Scheduling in presence of data uncertainty [J].
Squartini, Stefano ;
Boaro, Matteo ;
De Angelis, Francesco ;
Fuselli, Danilo ;
Piazza, Francesco .
PROCEEDINGS OF THE 2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), 2013, :323-328
[43]   Integrated modelling and information technology for strategic planning in the energy sector of Russia [J].
Veselov, Fedor ;
Khorshev, Andrey .
2017 11TH IEEE INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT 2017), 2017, :500-504
[44]   Assessment of sustainable biomass resource for energy use in China [J].
Zhou, Xinping ;
Wang, Fang ;
Hu, Hongwei ;
Yang, Lie ;
Guo, Pengheng ;
Xiao, Bo .
BIOMASS & BIOENERGY, 2011, 35 (01) :1-11
[45]   Natural Resource and Energy:Towards Sustainable Use and Development [J].
Eliakimu Kagimbo .
地学前缘, 2009, (S1) :81-81
[46]   India's energy sector choices-options and implications of ambitious mitigation efforts [J].
Mathur, Ritu ;
Shekhar, Swapnil .
CLIMATIC CHANGE, 2020, 162 (04) :1893-1911
[47]   Modelling energy use in residential buildings: How design decisions influence final energy performance in various Chilean climates [J].
Simon, Francois ;
Ordonez, Javier ;
Girard, Aymeric ;
Parrado, Cristobal .
INDOOR AND BUILT ENVIRONMENT, 2019, 28 (04) :533-551
[48]   Modeling of end-use energy consumption in the residential sector: A review of modeling techniques [J].
Swan, Lukas G. ;
Ugursal, V. Ismet .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2009, 13 (08) :1819-1835
[49]   Modelling the drivers of intention to use energy-efficient appliances through interpretive structural modelling technique [J].
Arora, Manita ;
Gupta, Neha ;
Gupta, Srikant ;
Dangi, Amit .
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2024, 15 (11) :5314-5328
[50]   Modelling gendered innovation for the security of energy services in poor urban environments [J].
Batinge, Benjamin ;
Musango, Josephine Kaviti ;
Ceschin, Fabrizio ;
Ambole, Amollo ;
Smit, Suzanne ;
Petrulaityte, Aine .
SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE, 2022, 39 (02) :287-304