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Optimal Planning and Design of Multi-carrier Energy Networks

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Planning and Operation of Multi-Carrier Energy Networks

Part of the book series: Power Systems ((POWSYS))

Abstract

In this chapter, a novel methodology is proposed for optimization of an energy hub in Iran (Ganje) to satisfy the electricity, thermal, and cooling loads of a sample residential sector. Different types of distributed generation units and energy storage systems are considered in the mentioned energy hub. The heat water load and heating/cooling loads are considered as thermal demand in the studied system. The produced heat of fuel cell is implemented to provide the thermal energy of energy hub. In this work, the absorption chiller is applied to supply the cooling demand in the energy hub. When the produced heat of fuel cells is more than loads, the extra heat is utilized to store in thermal storages. In addition, when the supplied thermal energy of fuel cells and available energy in thermal storages cannot satisfy thermal loads, waste and natural gas are used to supply thermal energy. Minimizing the studied energy hub’s costs is considered as the main objective of this chapter. The reliability indices are also considered in the mentioned energy hub.

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Abbreviations

C:

Coupling matrix

I:

Input energy carriers

F:

The output energy flows

Vc _ in:

Cut-in wind speed

Vc _ off:

Cutout wind speed

V:

Wind speed

Vr:

Rated wind speed

PWT _ max:

Maximum power of wind turbine

Pf:

Power of wind turbine in cutout wind speed

ηfc:

Efficacy of fuel cell

Eelz:

Amount of required energy to generate 1 kg hydrogen

Qi(t):

Interrupted loads at each hour

Di(t):

Electrical loads at each hour

PFC(t):

Produced electricity of fuel cell

PCooling(t):

Cooling demand of energy hub

PHeat(t):

Space heating demand of energy hub

Pwater(t):

Water heating demand of energy hub

PFC − Heat(t):

Produced heat of fuel cell units

NG(t):

Purchased methane from gas network

Nwaste(t):

Produced energy of waste

Estorage(t):

Stored energy in battery storages

L:

Lifetime of DG unit

NDG:

Optimal number of DG units

Ir:

Interest rate

R:

Project lifetime

NPCPi:

Total cost of penalty for interruption of electrical demand

NPCGas:

Total cost of consumed natural gas in energy hub

CPenalty:

Penalty factor for load interruptions

CGas:

Cost of purchased gas

DG:

Distributed generation

MG:

Microgrid

CCHP:

Combined cooling, heating, and power

PSO:

Particle swarm optimization

FC:

Fuel cell

ELF:

Equivalent load factor

NPV:

Net present value

CC:

Installation cost

RC:

Replacement cost

OMC:

Operating costs

CRF:

Capital rate factor

NPC:

Net present cost

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran

    Hamid HassanzadehFard

  2. Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA

    Arezoo Hasankhani

  3. Department of Electrical Engineering and Renewable Energy Research Center, Damavand Branch, Islamic Azad University, Damavand, Iran

    Seyed Mehdi Hakimi

Authors
  1. Hamid HassanzadehFard
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  2. Arezoo Hasankhani
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  3. Seyed Mehdi Hakimi
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Corresponding author

Correspondence to Seyed Mehdi Hakimi .

Editor information

Editors and Affiliations

  1. Department of Architectural Engineering, Pennsylvania State University, University Park, PA, USA

    Morteza Nazari-Heris

  2. Department of Architectural Engineering, Pennsylvania State University, University Park, PA, USA

    Somayeh Asadi

  3. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Behnam Mohammadi-Ivatloo

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HassanzadehFard, H., Hasankhani, A., Hakimi, S.M. (2021). Optimal Planning and Design of Multi-carrier Energy Networks. In: Nazari-Heris, M., Asadi, S., Mohammadi-Ivatloo, B. (eds) Planning and Operation of Multi-Carrier Energy Networks. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-60086-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-60086-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60085-3

  • Online ISBN: 978-3-030-60086-0

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