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Maximizing the use of energy in cities using an open systems network approach

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  • Bristow, David N.
  • Kennedy, Christopher A.

Abstract

The ability of cities to extract useful work from energy imports is analyzed by considering all of the flows of energy within the city as an ecological network and by accounting for the role the second law of thermodynamics plays in open systems such as cities. We construct a new procedure for generating a variety of flow balanced random networks to test the role that the network structure has on the city's ability to constructively destroy exergy, the useful component of energy in a process. We consider two network types, Erdös–Rényi and scale-free networks, and illustrate how these types, and the various realizations of these types as defined by their control parameters, impact the quantity of exergy destroyed. Specifically we find that the Erdös–Rényi network is best equipped to destroy exergy, but that the scale-free network provides more certainty in this ability for networks that are sparsely connected. This trade-off between the exergy destruction and certainty is observed in a study of Toronto. Overall the findings suggest that the selection of network topology in the development of open systems is an important factor (among others) in the successful development of open systems, their sustainability, and their ability to achieve maximum work extraction from energy imports.

Suggested Citation

  • Bristow, David N. & Kennedy, Christopher A., 2013. "Maximizing the use of energy in cities using an open systems network approach," Ecological Modelling, Elsevier, vol. 250(C), pages 155-164.
  • Handle: RePEc:eee:ecomod:v:250:y:2013:i:c:p:155-164
    DOI: 10.1016/j.ecolmodel.2012.11.005
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    References listed on IDEAS

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    1. Hammond, G.P.Geoffrey P., 2004. "Towards sustainability: energy efficiency, thermodynamic analysis, and the `two cultures'," Energy Policy, Elsevier, vol. 32(16), pages 1789-1798, November.
    2. Chen, G.Q. & Qi, Z.H., 2007. "Systems account of societal exergy utilization: China 2003," Ecological Modelling, Elsevier, vol. 208(2), pages 102-118.
    3. Zhang, Yan & Yang, Zhifeng & Yu, Xiangyi, 2009. "Ecological network and emergy analysis of urban metabolic systems: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 220(11), pages 1431-1442.
    4. Mikulecky, D.C., 1982. "Network thermodynamic simulation of biological systems: An overview," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 24(6), pages 437-441.
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    Cited by:

    1. Tan, Ling Min & Arbabi, Hadi & Brockway, Paul E. & Densley Tingley, Danielle & Mayfield, Martin, 2019. "An ecological-thermodynamic approach to urban metabolism: Measuring resource utilization with open system network effectiveness analysis," Applied Energy, Elsevier, vol. 254(C).
    2. Mohajeri, Nahid & Gudmundsson, Agust & Scartezzini, Jean-Louis, 2015. "Statistical-thermodynamics modelling of the built environment in relation to urban ecology," Ecological Modelling, Elsevier, vol. 307(C), pages 32-47.

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