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Modelling and simulation of a compressed air storage system coupled to a building and to a photovoltaic generator.

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HAL Id: hal-01164624

https://hal.archives-ouvertes.fr/hal-01164624

Submitted on 17 Jun 2015

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Modelling and simulation of a compressed air storage system coupled to a building and to a photovoltaic

generator.

Sidiki Simpore, François Garde, Jean Castaing-Lasvignottes

To cite this version:

Sidiki Simpore, François Garde, Jean Castaing-Lasvignottes. Modelling and simulation of a com- pressed air storage system coupled to a building and to a photovoltaic generator. . Assemblé générale du laboratoire PIMENT, Jun 2015, Saint Gilles, France. 2015. �hal-01164624�

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Negative outlet temperature ( about -170 ° C);

Isobaric heating is necessary to have the positive temperatures.

Enthalpy almost identical for all states of the air;

Less work for the isothermal case compared to the is- entropic case;

Higher output temperature for the case of ideal gas with constant thermal capacity.

Increasing evolution of the overall performance of the system depending on the turbine's inlet temperature;

Warming air at the inlet of the turbine is essential for better performance.

Conclusion and perspective Methodology

Introduction

Objectives

Review on CAES model

Analysis and comparison

Comparison of air state

Dynamic simulation

Equation used:

(1)

For the continuation of this study we envisage a dynamic simulation of the overall system as indicates the figure be- low.

Equation for simulation:

The excess electricity producted by the PV is used to power the compressor for storing compressed air in a tank. This air will be used to power an air turbine to power the buil- ding's loads when demand rises or will be injected to the electric grid,different scenarios will be studied.

The main goal of this work to model the Compressed Air Energy storage system supplied by the photovoltaic field and connected to a building (electric charge) which is also con- nected the Electric grid as shown the figure below.

State of air:

GPI :Ideal gas with constant thermal capacity;

GP :Ideal gas with variable thermal capacity;

GR :Real gas ;

AH :Humid gas.

The work will follow the diagram below:

By now, the increasing in energy demand, the decrease of fossil resources and the envi- ronmental and climate problems caused by these fossil resources are the mains chal- lenges of the researchers. To overcome this issues it is necessary to develop optimized and sustainable energy systems.The Compressed Air Energy Storage (CAES) and the development of Net Zero Building (Net ZEB) appear as an appropriate solution for island area with a tropical climate and no connected electric grid as Reunion island.The modeli- sation of a compressed Air Energy Storage system connected photovoltaic generator (PV), a building and the grid will be the main subject of this study.

Condition of comparison:

Results

Component Temperature (°C) Presure (bar) humidity (%)

Inlet Outlet Inlet Outlet Inlet Outlet

Compressor 30 - 1 50 50 -

Turbine 50 - 50 1 - -

The equation (1) is used for Isentropic model and equation (2) is used for Isothermal model.

The compressor and turbine work is calculated with EES software; using the parameters contained in the table.

 

s

i

comp out,comp in,comp

comp in,comp out,comp in,comp

w = h - h

w = T s - s

a

comp turb

stor

comp comp turb turb stor/ext

dM = m - m dt

dU = m h - m h + Q dt

 

 



The equivalent equation is used to calculate the heat sto- rage system, taking into account the eventual loss in the tank and at the heat exchangers. A dynamic coupling of CAES with a building and a renewable energy generation (photovoltaic) will be studied.

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Sidiki Simpore, François Garde, Jean Castaing-Lasvignottes.

Laboratoire de Physique et Ingénierie Mathématique pour l’Energie et l’environnemeNT (PIMENT), University of Reunion Island, 40 Av.de SOWETO, 97410, Saint Pierre, France,

sidiki.simpore@univ-reunion.fr

Modelling and simulation of a compressed air storage system coupled to a building and to a photovoltaic generator.

© June 2015

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