Utility network optimization in eco-industrial parks by a multi-leader follower game methodology

Ramos, Manuel A.; Rocafull, Mariona; Boix, Marianne; Aussel, Didier; Montastruc, Ludovic; Domenech, Serge

doi:10.1016/j.compchemeng.2018.01.024

Cited by 31 publications

(10 citation statements)

References 44 publications

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“…In 2012, Ferris and Wets proposed a general modeling framework for MOPEC [34]. Since then, this framework has been repeatedly theorized and applied [35][36][37][38]. Here, the basic MOPEC model is expressed as:…”

Section: Mopec Modeling Frameworkmentioning

confidence: 99%

Location and Volume Determination of Hydrogen Refueling Stations Based on Oligopoly Equilibrium

Huang¹,

Liu²,

Zhao³

et al. 2021

IJHT

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The energy transformation in China is picking up speed, thanks to the mass development and utilization of various clean energies. As an emerging clean energy, hydrogen energy has been highly recognized, and gradually introduced to industry and transport. As a result, hydrogen fuel cell vehicles (HFCVs) attract a growing attention from the government and the public. However, the is a severe lack of hydrogen refueling stations (HRSs). Therefore, this paper explores into the determination of HRS location and volume. The HRS investment market was treated as an oligopoly market, due to the huge investment and few investors of HRSs. To ensure the long-term balanced development of hydrogenation, it is assumed that all investors fully analyze the possible investment behaviors of competitors and HFCV driver preference before making any investment decision. On this basis, a multi-agent optimization model was established to determine the location and volume of HRSs. The results show that, to avoid supply-demand imbalance induced by information asymmetry, the HRSs should be constructed along with an intelligent software platform, which provides HFCV drivers with rich information on hydrogenation service. Our model helps investors determine the core issues of the HRS, including location, size, and supply scale.

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Section: Mopec Modeling Frameworkmentioning

confidence: 99%

Location and Volume Determination of Hydrogen Refueling Stations Based on Oligopoly Equilibrium

Huang¹,

Liu²,

Zhao³

et al. 2021

IJHT

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“…Later, Li et al (2016) have developed a model that considers storage for CHP coupled with wind turbines to sell it on the electricity market. Finally, designing an EIP utility system, Ramos et al (2018) developed a model based on game theory concepts in order to take into account the behaviour of participants. Their optimization method consists into a multi-leaderfollower game model that is transformed as a MO problem with equilibrium constraints and solved as a Non Linear Programming (NLP).…”

Section: Energy Network For Eipmentioning

confidence: 99%

Optimal Design of Eco-Industrial Parks with coupled energy networks addressing Complexity bottleneck through an Interdependence analysis

Mousqué

Boix

Montastruc

et al. 2020

Computers & Chemical Engineering

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By gathering in Eco-Industrial Parks (EIPs), companies obtain benefits from synergistic cooperation but it also creates a risk by increasing interdependencies. The aim of this paper is to provide a method for optimally design exchanges that takes into consideration real stakes of companies. This resolution method is assessed on a multi-period MILP model of coupled energy networks integrating a utility system producing steam at different pressure levels and a mutualized on-grid Hybrid Power System (HPS) providing electricity using Renewable Energy (RE) sources. Design concerns interconnections between companies such as boilers, turbines and power of RE sources. A multi-stage approach is developped to minimize network complexity and Net Present Value (NPV) of the overall network. Lastly, an interdependency analysis is proposed to choose the optimal solution. Tested on a case study involving 15 companies, the optimal exchanges have been raised to satisfy demands over four time periods.

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“…It is clear that the latter approach is more realistic in designing and optimizing the water exchange network in the EIP because first, it helps to reduce the overall freshwater consumption; second, it reduces the operating costs of each enterprise; third, enterprises operating in the EIP do not need to share their information with other enterprises of the park, which is clearly a very important issue in the design of an optimal EIP. The SLMF approach of the optimal design of EIP has been introduced for the first time in [19] and then specialized in [21,20]). In fact in [21], the authors have profoundly revisited the SLMF approach of [19] and have developed an abstract Blind-Input model for water exchange networks in EIPs.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of exchange water networks with control inputs in Eco-Industrial Parks

Aussel¹,

Van²,

Salas³

2022

Preprint

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Industrial water conservation is an important adaptation to preserve the environment. Eco-Industrial Parks (EIPs) have been designed to encourage the establishment of water exchange networks between enterprises in order to minimize freshwater consumption and wastewater discharge by maximizing wastewater reuse. This control-input model presents a mathematical programming formulation for designing and optimizing industrial water networks in EIPs, formulating and solving it as a Single-Leader Multi-Follower (SLMF) game problem. Enterprises (followers) aim to minimize their operating costs by reusing wastewater from other enterprises, while the designer (leader) aims to minimize the consumption of natural resources within the ecopark. Moreover, when participating in the ecopark, enterprises can control all their input fluxes and the designer guarantees a minimal relative improvement in comparison with the stand-alone operation of each enterprise. The SLMF game is transformed into a single mixed-integer optimization problem. The obtained results are compared with the results of the blind-input model [21].

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Utility network optimization in eco-industrial parks by a multi-leader follower game methodology

Cited by 31 publications

References 44 publications

Location and Volume Determination of Hydrogen Refueling Stations Based on Oligopoly Equilibrium

Location and Volume Determination of Hydrogen Refueling Stations Based on Oligopoly Equilibrium

Optimal Design of Eco-Industrial Parks with coupled energy networks addressing Complexity bottleneck through an Interdependence analysis

Optimal design of exchange water networks with control inputs in Eco-Industrial Parks

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