Regional Planning and Optimization of Renewable Energy Sources for Improved Rural Electrification

被引:0
|
作者
Sarah Farhana Shahrom
Kathleen B. Aviso
Raymond R. Tan
Nor Nazeelah Saleem
Denny K. S. Ng
Viknesh Andiappan
机构
[1] Heriot-Watt University Malaysia,School of Engineering and Physical Sciences
[2] De La Salle University,Department of Chemical Engineering
[3] Universiti Teknologi Malaysia (UTM),Centre of Hydrogen Energy (CHE)
[4] Swinburne University of Technology Sarawak,Faculty of Engineering, Computing and Science
[5] Jalan Simpang Tiga,School of Engineering and Technology
[6] Sunway University Malaysia,undefined
来源
Process Integration and Optimization for Sustainability | 2023年 / 7卷
关键词
Regional energy planning; Rural electrification; Renewable energy; Stackelberg game; Bi-level optimization; Grid decarbonization;
D O I
暂无
中图分类号
学科分类号
摘要
Over 13% of the global population (most of which are rural communities) still lack access to electricity. A typical resolution to this would be to generate more electricity from existing power generation infrastructure. However, the urgency to meet net-zero global greenhouse gas emissions means that this resolution may not be the way forward. Instead, policymakers must consider decarbonization strategies such as renewable energy systems to generate more electricity in rural communities. As policymakers aim to encourage renewable energy generation, existing power plant operators may not share the same perspective. Operators typically wish to ensure profit margins in their operations as decarbonization efforts may be costly and reduce the profit. A balance must be struck between both parties so that the energy sector can continue to meet rising energy demands and decarbonization needs. This is a classic leader–follower situation where it involves the interplay between policymaker (as energy sector regulator) and industry (as energy sector investor). This work presents a bi-level optimization model to address the leader–follower interactions between policymakers and industry operators. The proposed model considers factors such as total investment, co-firing opportunities, incentives, disincentives, carbon emissions, scale, cost, and efficiency to meet electricity demands. To demonstrate the model, two Malaysian case studies were evaluated and presented. The first optimized networks is developed based on different energy demands. Results showed that when cost was minimized, the production capacity of the existing power plants was increased and renewable energy systems were not be selected. The second case study used bi-level optimization to determine an optimal trade-off $ 1.4 million in incentives per year, which serves as a monetary sum needed by policymakers to encourage industry operators to decarbonize their operations. Results from the second case were then compared to the ones in the first.
引用
收藏
页码:785 / 804
页数:19
相关论文
共 50 条
  • [21] Potential application of renewable energy for rural electrification in Malaysia
    Borhanazad, H.
    Mekhilef, S.
    Saidur, R.
    Boroumandjazi, G.
    RENEWABLE ENERGY, 2013, 59 : 210 - 219
  • [22] Considering a paradigm shift in rural electrification: biodiesel as renewable energy electrification alternative
    Fefeh Rushman, Johannex
    Maneechot, Pisit
    Thanarak, Prapita
    Artkla, Surachai
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2022, 41 (03) : 289 - 307
  • [23] A decision-making and planning optimization framework for multi-regional rural hybrid renewable energy system
    Li, Songrui
    Zhang, Lihui
    Wang, Xijiao
    Zhu, Chunxu
    ENERGY CONVERSION AND MANAGEMENT, 2022, 273
  • [24] Optimization and planning of renewable energy sources based microgrid for a residential complex
    Hasan, Sayeed
    Zeyad, Mohammad
    Ahmed, S. M. Masum
    Anubhove, Md. Sadik Tasrif
    ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 2023, 42 (05)
  • [25] Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas
    Suresh, Vendoti
    Muralidhar, M.
    Kiranmayi, R.
    ENERGY REPORTS, 2020, 6 : 594 - 604
  • [26] Optimization and feasibility analysis of hybrid standalone renewable energy systems for rural electrification in Chamoli, Uttarakhand
    Faisal, Ameer
    Anwer, Naqui
    ELECTRICAL ENGINEERING, 2025, 107 (01) : 619 - 637
  • [27] RENEWABLE ENERGY SOURCES AND RURAL DEVELOPMENT
    Strebkov, D. S.
    TRENDS IN AGRICULTURAL ENGINEERING 2010, 2010, : 25 - 34
  • [28] Efficient two-layer rural electrification planning and techno-economic assessment integrating renewable sources
    Kamal, Md Mustafa
    Ashraf, Imtiaz
    Fernandez, Eugene
    ENERGY STORAGE, 2022, 4 (03)
  • [29] Optimised Application of Hybrid Renewable Energy System in Rural Electrification
    Gupta, Ajai
    Saini, R. P.
    Sharma, M. P.
    INDIA INTERNATIONAL CONFERENCE ON POWER ELECTRONIC S, 2006, : 337 - 340
  • [30] Renewable energy markets in rural electrification: Country case Nepal
    Mainali, Brijesh
    Silveira, Semida
    ENERGY FOR SUSTAINABLE DEVELOPMENT, 2012, 16 (02) : 168 - 178