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Design and Evaluation of a New Solar Tower-Based Multi-generation System: Part II, Exergy and Exergoeconomic Modeling

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Integration of Clean and Sustainable Energy Resources and Storage in Multi-Generation Systems

Abstract

Exergoeconomic is the combination of exergy analysis and cost estimation based on exergy values at each state. Application of exergoeconomic in multi-generation systems mainly aims at designing more sustainable units in terms of waste handling by considering cost and the source of irreversibility. Unlike many other cost methods applied to multi-generation system, manipulating the overall cost of a complex system in exergoeconomic analysis by defining a unit overall product cost with the influence of each product cost separately is fully straightforward. Due to this and many other merits of exergoeconomic in cost estimation of multi-generation systems, exergoeconomic analysis of the devised solar tower-based multi-generation system in the previous chapter is carried out in here. To attain this goal, exergy analysis of the reckoned setup is performed. Results of exergy analysis indicated that the receiver has a pivotal role in the overall exergy destruction by exergy destruction of 2006 kW, followed by heliostat by 1867 kW. The overall exergy efficiency and cost of the system are computed 21.45% and 743.2 $/h, respectively. At last, an extensive parametric study is presented to demonstrate altering trend of the chief performance criteria around the base input data. It was discerned that exergy efficiency can even be raised up from the base value with the rise of direct normal irradiance (DNI), receiver concentration ratio, and heat exchangers effectiveness or with the decrease of the generator pinch point temperature, ambient temperature, and amount of electricity supplied to the transcritical CO2 refrigeration cycle. In terms of cost, the overall cost rate parameter can be decreased by decreasing the amount of electricity supplied to the transcritical CO2 refrigeration cycle, heat exchangers effectiveness, generator pinch point temperature, DNI, and receiver concentration ratio.

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Abbreviations

C:

Concentration ratio

h:

Enthalpy (kJ. kg−1), convection coefficient (W/m2K)

K:

Conductivity (W/m.K)

L:

Length of tube (m)

S:

Supercritical

T:

Temperature (K), transcritical

V:

Wind velocity (m/s)

X:

Salinity (g. kg−1)

Fr:

View factor

HTR:

High-temperature recuperator

HU:

Heating unit

LTR:

Low-temperature recuperator

MC:

Main compressor

MFR:

Mass flow ratio

PPTD:

Pinch point temperature difference (K)

RC:

Recompression compressor

STP:

Solar tower power

δ:

Thickness (m)

ε:

Effectiveness, emissivity

η:

Efficiency (%)

λ:

Conductivity (W/m.K)

μ:

Viscosity (Pa.s)

ω:

Humidity

ρ:

Reflectivity, density (kg/m3)

Ape:

Aperture

em:

Emissive

Dhum:

Dehumidifier

fc:

Forced convection

Gen:

Generator

Hum:

Humidifier

H, Hel:

Heliostat

Insi:

Inner side of receiver

Insu:

Insulation

is:

Isentropic

ms:

Molten salt

nc:

Natural convection

ref:

Reflection

Sur:

Surface

sw:

Sea water

TC:

Transcritical compressor

W:

Wall

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering, Sahand University of Technology, Tabriz, Iran

    Hamed Ghiasirad & Sajjad Nasri

  2. Energy and Environment Research Center, Niroo Research Institute (NRI), Tehran, Iran

    Hadi Rostamzadeh

Authors
  1. Hamed Ghiasirad
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  2. Hadi Rostamzadeh
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  3. Sajjad Nasri
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Editor information

Editors and Affiliations

  1. Department of Power System Operation and Planning, Niroo Research Institute (NRI), Tehran, Iran

    Farkhondeh Jabari

  2. Faculty of Electrical and Computer Engineering, Department of Energy Technology, Aalborg University, Aalborg, Denmark, University of Tabriz, Tabriz, Iran

    Behnam Mohammadi-Ivatloo

  3. Faculty of Chemical and Petroleum Engineering, University of Tabriz, Tabriz, Iran

    Mousa Mohammadpourfard

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Ghiasirad, H., Rostamzadeh, H., Nasri, S. (2020). Design and Evaluation of a New Solar Tower-Based Multi-generation System: Part II, Exergy and Exergoeconomic Modeling. In: Jabari, F., Mohammadi-Ivatloo, B., Mohammadpourfard, M. (eds) Integration of Clean and Sustainable Energy Resources and Storage in Multi-Generation Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-42420-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-42420-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-42419-0

  • Online ISBN: 978-3-030-42420-6

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