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Utilization and Optimization of Diesel Generation for Maximum Renewable Energy Integration

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Smart Energy Grid Design for Island Countries

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Globally, the vast majority of generation within off-grid communities is supplied via diesel generation. The extent to which renewable energy source (RES) technologies can be effectively integrated into these systems depends, to a large degree, on the configuration and control of such existing infrastructure. Utilization and optimization of existing diesel generation is accordingly a key consideration for any successful RES proposal. This chapter explores both modern and legacy diesel technology and control, as available to maximize RES penetration within a hybrid diesel islanded network. Diesel generators are relatively inexpensive to purchase, offering a proven, reliable and stable generation source. Diesel generation is also supported via the ease and availability of both supplier engagement and technical expertise, services readily at hand to consumers. Their downside has proven to be the diesel fuel itself, given both volatile commodity pricing and damaging environmental emissions. These issues have created opportunity for alternative generation sources, and as we will seen throughout the proceeding chapters, the advent of both available and cost competitive RES technologies has given remote communities genuine generation alternatives. RES technologies will become increasingly important to island countries as they seek to reduce their emissions and operational costs. How readily RES technologies are adopted, will depend on how effectively these technologies can be integrated into existing networks, with this chapter advocating a hybrid diesel architecture as one solution to quickly and effectively deliver high RES penetrations. How do islanded countries embrace the challenges and opportunities of emerging RES technologies? Will diesel generators become obsolete within these future power systems structures? This chapter considers these queries, presenting existing generation as part of the recommended transition. In discussing the role of conventional generation, the audience is asked to recognize the residual value within legacy assets, identifying a cost optimized pathway for improved RES integration.

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Acknowledgements

The authors would like to thank the Office of Navy Research Global (ONRG), Hydro Tasmania and the Australian Research Council (ARC) for funding contributed towards research of utilization and optimization of diesel generation sources for maximum renewable integration.

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Authors and Affiliations

  1. Centre for Renewable Energy and Power System, School of Engineering, ICT University of Tasmania, Hobart, TAS, 7001, Australia

    J. M. Hamilton, M. Negnevitsky, X. Wang & A. Tavakoli

  2. Alaskan Centre for Energy and Power (ACEP), Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK, 99755, USA

    M. Mueller-Stoffels

Authors
  1. J. M. Hamilton
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  2. M. Negnevitsky
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  3. X. Wang
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  4. A. Tavakoli
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  5. M. Mueller-Stoffels
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Corresponding author

Correspondence to J. M. Hamilton .

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Editors and Affiliations

  1. School of Engineering and Physics, The University of the South Pacific, School of Engineering and Physics, Suva, Fiji

    F.M. Rabiul Islam

  2. School of Engineering and Physics, The University of the South Pacific, School of Engineering and Physics, Suva, Fiji

    Kabir Al Mamun

  3. School of Engineering, Deakin University, School of Engineering, Truganina, Australia

    Maung Than Oo Amanullah

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Hamilton, J.M., Negnevitsky, M., Wang, X., Tavakoli, A., Mueller-Stoffels, M. (2017). Utilization and Optimization of Diesel Generation for Maximum Renewable Energy Integration. In: Islam, F., Mamun, K., Amanullah, M. (eds) Smart Energy Grid Design for Island Countries. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-50197-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-50197-0_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50196-3

  • Online ISBN: 978-3-319-50197-0

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