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Economics of Renewable Energy Integration and Energy Storage via Low Load Diesel Application

Author

Listed:
  • James Hamilton

    (Centre for Renewable Energy and Power Systems, School of Engineering, University of Tasmania, Hobart Tasmania 7000, Australia)

  • Michael Negnevitsky

    (Centre for Renewable Energy and Power Systems, School of Engineering, University of Tasmania, Hobart Tasmania 7000, Australia)

  • Xiaolin Wang

    (Centre for Renewable Energy and Power Systems, School of Engineering, University of Tasmania, Hobart Tasmania 7000, Australia)

Abstract

One-quarter of the world’s population lives without access to electricity. Unfortunately, the generation technology most commonly employed to advance rural electrification, diesel generation, carries considerable commercial and ecological risks. One approach used to address both the cost and pollution of diesel generation is renewable energy (RE) integration. However, to successfully integrate RE, both the stochastic nature of the RE resource and the operating characteristics of diesel generation require careful consideration. Typically, diesel generation is configured to run heavily loaded, achieving peak efficiencies within 70–80% of rated capacity. Diesel generation is also commonly sized to peak demand. These characteristics serve to constrain the possible RE penetration. While energy storage can relieve the constraint, this adds cost and complexity to the system. This paper identifies an alternative approach, redefining the low load capability of diesel generation. Low load diesel (LLD) allows a diesel engine to operate across its full capacity in support of improved RE utilization. LLD uses existing diesel assets, resulting in a reduced-cost, low-complexity substitute. This paper presents an economic analysis of LLD, with results compared to conventional energy storage applications. The results identify a novel pathway for consumers to transition from low to medium levels of RE penetration, without additional cost or system complexity.

Suggested Citation

  • James Hamilton & Michael Negnevitsky & Xiaolin Wang, 2018. "Economics of Renewable Energy Integration and Energy Storage via Low Load Diesel Application," Energies, MDPI, vol. 11(5), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1080-:d:143639
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    References listed on IDEAS

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    1. Andrea Micangeli & Riccardo Del Citto & Isaac Nzue Kiva & Simone Giovanni Santori & Valeria Gambino & Jeremiah Kiplagat & Daniele Viganò & Davide Fioriti & Davide Poli, 2017. "Energy Production Analysis and Optimization of Mini-Grid in Remote Areas: The Case Study of Habaswein, Kenya," Energies, MDPI, vol. 10(12), pages 1-23, December.
    2. Daniel Akinyele & Juri Belikov & Yoash Levron, 2018. "Challenges of Microgrids in Remote Communities: A STEEP Model Application," Energies, MDPI, vol. 11(2), pages 1-35, February.
    3. Laura Tribioli & Raffaello Cozzolino & Luca Evangelisti & Gino Bella, 2016. "Energy Management of an Off-Grid Hybrid Power Plant with Multiple Energy Storage Systems," Energies, MDPI, vol. 9(8), pages 1-21, August.
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    Cited by:

    1. James Hamilton & Michael Negnevitsky & Xiaolin Wang & Evgenii Semshchikov, 2020. "The Role of Low-Load Diesel in Improved Renewable Hosting Capacity within Isolated Power Systems," Energies, MDPI, vol. 13(16), pages 1-15, August.
    2. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim & Huy Nguyen-Duc, 2018. "Direct Phase Angle and Voltage Amplitude Model Predictive Control of a Power Converter for Microgrid Applications," Energies, MDPI, vol. 11(9), pages 1-21, August.
    3. Bülent Özdalyan & Recep Ç. Orman, 2018. "Experimental Investigation of the Use of Waste Mineral Oils as a Fuel with Organic-Based Mn Additive," Energies, MDPI, vol. 11(6), pages 1-12, June.
    4. Psarros, Georgios N. & Papathanassiou, Stavros A., 2023. "Generation scheduling in island systems with variable renewable energy sources: A literature review," Renewable Energy, Elsevier, vol. 205(C), pages 1105-1124.

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