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Optimal Design, Operation, and Planning of Distributed Energy Systems Through the Multi-Energy Hub Network Approach

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Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy Hubs

Abstract

Urban energy systems are responsible for the majority of the energy consumption around the world and they play an important role in energy issues such as economic security and climate change. Furthermore, there are growing concerns about the depletion of fossil fuel resources and the negative effect they have had on the ecosystem. To this end, a holistic and integrated approach is necessary for the optimal design and operation of urban energy systems that makes expressive betterment in energy efficiency and environmental impact. The aim of this research is to develop an optimum methodology for communities in the context of energy hub. The energy hub is a novel concept to systematically address energy requirements. Future of urban energy systems rely on the transition to cleaner fuels such as hydrogen and renewable energy sources like solar and wind. The energy hub concept has the potential to reduce the negative environmental impacts by enabling the benefits of renewable power and clean energy technologies. The potential to connect different sectors of the urban community and its optimization is of particular interest in the energy hub network modeling concept as it will also lead to socio-economic and environmental benefits.

In this chapter, first, the literature review of distributed energy systems based on energy hub is explained. Then, framework development is described. The economic and environmental feasibility of the proposed approach is investigated based on three case studies for urban energy systems.

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Author information

Authors and Affiliations

  1. Department of Chemical Engineering, University of Waterloo, Waterloo, ON, Canada

    Syed Taha Taqvi, Azadeh Maroufmashat, Michael Fowler & Ali Elkamel

  2. Department of Energy Engineering, Sharif University of Technology, Tehran, Iran

    Sourena Sattari Khavas

Authors
  1. Syed Taha Taqvi
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  2. Azadeh Maroufmashat
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  3. Michael Fowler
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  4. Ali Elkamel
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  5. Sourena Sattari Khavas
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Behnam Mohammadi-Ivatloo

  2. Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Farkhondeh Jabari

Nomenclature

Nomenclature

\( {\alpha}_q^{\mathrm{ch}} \) :

Charging efficiency of storage technology q

\( {\alpha}_q^{\mathrm{dis}} \) :

Discharging efficiency of storage technology q

L(t):

Load demand/output energy i at time t

\( {\dot{M}}_q \) :

Energy level in storage technology q at time t

\( {M}_q^{\mathrm{stdby}} \) :

Energy loss when the storage system q is in its standby state.

P(t):

Input energy by carrier j at time t

P min :

Minimum input energy by carrier j

P max :

Maximum input energy by carrier j

\( {Q}_q^{\mathrm{ch}} \) :

Power in-flow (charging) through the storage technology q

\( {Q}_q^{\mathrm{dis}} \) :

Power out-flow (discharging) through the storage technology q

T s :

Total energy from hub s supplied to other connected energy hubs

Tr sk :

Individual energy output to each connect energy hub, k, from energy hub s

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Taqvi, S.T., Maroufmashat, A., Fowler, M., Elkamel, A., Khavas, S.S. (2018). Optimal Design, Operation, and Planning of Distributed Energy Systems Through the Multi-Energy Hub Network Approach. In: Mohammadi-Ivatloo, B., Jabari, F. (eds) Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy Hubs. Springer, Cham. https://doi.org/10.1007/978-3-319-75097-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-75097-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75096-5

  • Online ISBN: 978-3-319-75097-2

  • eBook Packages: EnergyEnergy (R0)

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