Skip to main content
Top

2021 | OriginalPaper | Chapter

16. Future Research Directions for Sustainable Natural Resource Management

Authors : Yihsu Chen, Antonio J. Conejo, Andrew L. Liu

Published in: Pursuing Sustainability

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

We discuss three directions for future research in sustainable natural resource management. These directions are drawn mainly from our research experience and expertise in the energy sector and other natural resource areas. First, we believe that future sustainability and resilience in natural resource management can be enhanced through better utilization of outcomes from process- or physical-based climate change models, such as Global Climate Models. Second, directly related to the electric power sectors is a better harnessing variability and unpredictability via flexibility, transmission, and storage. Third, future natural resource management should consider interdependence of multiple systems, such as power, natural gas, and water systems, through co-optimization of these interdependent systems. We elaborate each of these three future research directions in this chapter.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Footnotes
1
Much of the discussion in this section draws upon the first and third author’s experience of working on a project of the California’s Fourth Climate Assessment. However, the discussions here are sufficiently broad to generalize to other situations.
 
Literature
go back to reference Averyt, K., Fisher, J., Huber-Lee, A., Lewis, A., Macknick, J., Madden, N., Rogers, J., & Tellinghuisen, S. (2011). Freshwater use by U.S. power plants: electricity’s thirst for a precious resource: A report of the energy and water in a warming world initiative. Cambridge, MA: Union of Concerned Scientists. Averyt, K., Fisher, J., Huber-Lee, A., Lewis, A., Macknick, J., Madden, N., Rogers, J., & Tellinghuisen, S. (2011). Freshwater use by U.S. power plants: electricity’s thirst for a precious resource: A report of the energy and water in a warming world initiative. Cambridge, MA: Union of Concerned Scientists.
go back to reference Averyt, K., Fisher, J., Huber-Lee, A., Lewis, A., Macknick, J., Madden, N., Rogers, J., & Tellinghuisen, S. (2013). Water-smart power: Strengthening the U.S. electricity system in a warming world. Cambridge, MA: Union of Concerned Scientists. Averyt, K., Fisher, J., Huber-Lee, A., Lewis, A., Macknick, J., Madden, N., Rogers, J., & Tellinghuisen, S. (2013). Water-smart power: Strengthening the U.S. electricity system in a warming world. Cambridge, MA: Union of Concerned Scientists.
go back to reference Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J. F. K., Barber, N. L., Hutson, S. S., Linsey, K. S., Lovelace, J. K., & Maupin, M. A. (2011). Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1), 1–122.CrossRef Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J. F. K., Barber, N. L., Hutson, S. S., Linsey, K. S., Lovelace, J. K., & Maupin, M. A. (2011). Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1), 1–122.CrossRef
go back to reference Chen, Y., Chen, N., Guldmann, J.-M., Liu, A. L., & Wang, C. H. (2020). Investigating climate-change-induced vulnerability of the northern California natural gas energy system and identifying resilience options. Unpublished report, University of California Santa Cruz. Chen, Y., Chen, N., Guldmann, J.-M., Liu, A. L., & Wang, C. H. (2020). Investigating climate-change-induced vulnerability of the northern California natural gas energy system and identifying resilience options. Unpublished report, University of California Santa Cruz.
go back to reference Cook, B. I., Ault, T. R., & Smerdon, J. E. (2015). Unprecedented 21st century drought risk in the American Southwest and Central Plains. Science Advances, 1, 1–7. Cook, B. I., Ault, T. R., & Smerdon, J. E. (2015). Unprecedented 21st century drought risk in the American Southwest and Central Plains. Science Advances, 1, 1–7.
go back to reference Deng, W., Lai, M. J., Peng, Z., & Yin, W. (2017). Parallel multi-block ADMM with o(1=k) convergence. Journal of Scientic Computing, 71(2), 712–736.CrossRef Deng, W., Lai, M. J., Peng, Z., & Yin, W. (2017). Parallel multi-block ADMM with o(1=k) convergence. Journal of Scientic Computing, 71(2), 712–736.CrossRef
go back to reference Eckstein, J., & Yao, W. (2012). Augmented Lagrangian and alternating direction methods for convex optimization: A tutorial and some illustrative computational results. RUTCOR research reports 32-3. Eckstein, J., & Yao, W. (2012). Augmented Lagrangian and alternating direction methods for convex optimization: A tutorial and some illustrative computational results. RUTCOR research reports 32-3.
go back to reference Haimes, Y. Y., & Jiang, P. (2001). Leontief-based model of risk in complex interconnected infrastructures. Journal of Infrastructure Systems, 7(1), 1–12.CrossRef Haimes, Y. Y., & Jiang, P. (2001). Leontief-based model of risk in complex interconnected infrastructures. Journal of Infrastructure Systems, 7(1), 1–12.CrossRef
go back to reference Hawkins, E., & Sutton, R. T. (2011). The potential to narrow uncertainty in projections of regional precipitation change. Climate Dynamics, 37, 407–418.CrossRef Hawkins, E., & Sutton, R. T. (2011). The potential to narrow uncertainty in projections of regional precipitation change. Climate Dynamics, 37, 407–418.CrossRef
go back to reference He, C., Wu, L., Liu, T., & Shahidehpour, M. (2018a). Robust co-optimization scheduling of electricity and natural gas systems via ADMM. IEEE Transactions on Sustainable Energy, 8(2), 658–670.CrossRef He, C., Wu, L., Liu, T., & Shahidehpour, M. (2018a). Robust co-optimization scheduling of electricity and natural gas systems via ADMM. IEEE Transactions on Sustainable Energy, 8(2), 658–670.CrossRef
go back to reference He, C., Wu, L., Liu, T., & Bie, Z. (2018b). Robust co-optimization planning of interdependent electricity and natural gas systems with a joint N-1 and probabilistic reliability criterion. IEEE Transactions on Power Systems, 33(2), 2140–2154.CrossRef He, C., Wu, L., Liu, T., & Bie, Z. (2018b). Robust co-optimization planning of interdependent electricity and natural gas systems with a joint N-1 and probabilistic reliability criterion. IEEE Transactions on Power Systems, 33(2), 2140–2154.CrossRef
go back to reference Kenny, J. F., Barber, N. L., Hutson, S. S., Linsey, K. S., Lovelace, J. K., & Maupin, M. A. (2009). A 2009 estimated use of water in the United States in 2005. Reston, VA: The U.S. Geological Survey. Kenny, J. F., Barber, N. L., Hutson, S. S., Linsey, K. S., Lovelace, J. K., & Maupin, M. A. (2009). A 2009 estimated use of water in the United States in 2005. Reston, VA: The U.S. Geological Survey.
go back to reference Macknick, J., Newmark, R., Heath, G., & Hallett, K. C. (2011). A review of operational water consumption and withdrawal factors for electricity generating technologies. National Renewable Energy Laboratory, technical report: NREL/TP-6A20–50900. Macknick, J., Newmark, R., Heath, G., & Hallett, K. C. (2011). A review of operational water consumption and withdrawal factors for electricity generating technologies. National Renewable Energy Laboratory, technical report: NREL/TP-6A20–50900.
go back to reference Macknick, J., Newmark, R., Heath, G., & Hallett, K. C. (2012). Operational water consumption and withdrawal factors for electricity generating technologies: A review of existing literature. Environmental Research Letters, 7(4), 1–109. Macknick, J., Newmark, R., Heath, G., & Hallett, K. C. (2012). Operational water consumption and withdrawal factors for electricity generating technologies: A review of existing literature. Environmental Research Letters, 7(4), 1–109.
go back to reference Ouyang, M. (2014). Review on modeling and simulation of interdependent critical infrastructure systems. Reliability Engineering and System Safety, 121, 43–60.CrossRef Ouyang, M. (2014). Review on modeling and simulation of interdependent critical infrastructure systems. Reliability Engineering and System Safety, 121, 43–60.CrossRef
go back to reference Pederson, P., Dudenhoeer, D., Hartley, S., & Permann, M. (2006). Critical infrastructure interdependency modeling: A survey of the U.S. and international research. Idaho Falls, ID: Idaho National Laboratory. Pederson, P., Dudenhoeer, D., Hartley, S., & Permann, M. (2006). Critical infrastructure interdependency modeling: A survey of the U.S. and international research. Idaho Falls, ID: Idaho National Laboratory.
go back to reference Pierce, D. W., Cayan, D. R., Maurer, E. P., Abatzoglou, J. T., & Hegewisch, K. C. (2015). Improved bias correction techniques for hydrological simulations of climate change. Journal of Hydrometerology, 16, 2421–2422.CrossRef Pierce, D. W., Cayan, D. R., Maurer, E. P., Abatzoglou, J. T., & Hegewisch, K. C. (2015). Improved bias correction techniques for hydrological simulations of climate change. Journal of Hydrometerology, 16, 2421–2422.CrossRef
go back to reference Pierce, D. W., Cayan, D. R., & Thrasher, B. L. (2014). Statistical downscaling using localized constructed analogs (LOCA). Journal of Hydrometerology, 15, 2558–2585.CrossRef Pierce, D. W., Cayan, D. R., & Thrasher, B. L. (2014). Statistical downscaling using localized constructed analogs (LOCA). Journal of Hydrometerology, 15, 2558–2585.CrossRef
go back to reference Powell, M. J. (1973). On search directions for minimization algorithms. Mathematical Programming, 4(1), 193–201.CrossRef Powell, M. J. (1973). On search directions for minimization algorithms. Mathematical Programming, 4(1), 193–201.CrossRef
go back to reference Rothausen, S. G. S. A., & Declan, C. (2011). Greenhouse-gas emissions from energy use in the water sector. Nature: Climate Change, 7(4), 210–219. Rothausen, S. G. S. A., & Declan, C. (2011). Greenhouse-gas emissions from energy use in the water sector. Nature: Climate Change, 7(4), 210–219.
go back to reference Spinoni, J., Naumann, G., Carrao, H., Barbosa, P., & Vogt, J. (2014). World drought frequency, duration, and severity for 1951-2010. International Journal of Climatology, 34(8), 2792–2804.CrossRef Spinoni, J., Naumann, G., Carrao, H., Barbosa, P., & Vogt, J. (2014). World drought frequency, duration, and severity for 1951-2010. International Journal of Climatology, 34(8), 2792–2804.CrossRef
go back to reference Turchi, C. S., Wagner, M. J., & Kutscher, C. F. (2010). Water use in parabolic trough power plants: Summary results from Worley Parsons’ analyses. National Renewable Energy Laboratory technical report NREL/TP-5500-49468. Turchi, C. S., Wagner, M. J., & Kutscher, C. F. (2010). Water use in parabolic trough power plants: Summary results from Worley Parsons’ analyses. National Renewable Energy Laboratory technical report NREL/TP-5500-49468.
go back to reference Wing, I. S., & Kolodziej, M. (2008). The regional greenhouse gas initiative: emissions leakage and the effectiveness of interstate border adjustments. John F. Kennedy School of Government, Harvard University, policy program working paper RPP-2008-03. Wing, I. S., & Kolodziej, M. (2008). The regional greenhouse gas initiative: emissions leakage and the effectiveness of interstate border adjustments. John F. Kennedy School of Government, Harvard University, policy program working paper RPP-2008-03.
go back to reference Zuloaga, S., Khatavkar, P., Vittal, V., Vittal, V., & Mays, L. W. (2019). Interdependent electric and water infrastructure modelling, optimisation and control. IET Energy Systems Integration, 2(1), 9–21.CrossRef Zuloaga, S., Khatavkar, P., Vittal, V., Vittal, V., & Mays, L. W. (2019). Interdependent electric and water infrastructure modelling, optimisation and control. IET Energy Systems Integration, 2(1), 9–21.CrossRef
Metadata
Title
Future Research Directions for Sustainable Natural Resource Management
Authors
Yihsu Chen
Antonio J. Conejo
Andrew L. Liu
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-58023-0_16