Energy Network Flow Model and Optimization Based on Energy Hub for Big Harbor Industrial Park

ABSTRACT Tian, X. and Zhao, R., 2015. Energy network flow model and optimization based on energy hub for big harbor industrial park. To model and optimize the energy network flow for the energy conservation and emissions reduction in big harbor industrial park by analyzing the characteristics of harbor energy system, this paper presents a universal framework for the modeling of energy systems comprising multiple-energy carriers, such as electricity, heat, gas, etc. The modeling framework is based on the energy hub concept model and the idea of “energy flow network”. Then the system optimization to minimize energy consumption with multi-agent distributed control is put forward in this paper, which is executed with parallel processing method. After that, this paper takes Lingang industrial park in Shanghai as an engineering example to verify the whole energy model and optimization method proposed. In conclusion, the proposed approach can realize rational utilization of multiple-energy carriers for reducing energy consumption and carbon emissions, which can enhance the regulation level of energy center and make the energy system of the harbor run efficiently and orderly, that is to say, this paper can provide a technical support for the construction of resource saving and environment friendly harbor.

[1]  Kevin Cullinane,et al.  The impact of an emerging port on the carbon dioxide emissions of inland container transport: An empirical study of Taipei port , 2010 .

[2]  P. Favre-Perrod,et al.  A vision of future energy networks , 2005, 2005 IEEE Power Engineering Society Inaugural Conference and Exposition in Africa.

[3]  Cuilian Liu,et al.  Analysis of Energy-Saving Measures in Ports , 2010, 2010 Asia-Pacific Power and Energy Engineering Conference.

[4]  B. De Schutter,et al.  Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks , 2010 .

[5]  G. Andersson,et al.  A modeling and optimization approach for multiple energy carrier power flow , 2005, 2005 IEEE Russia Power Tech.

[6]  A. Travers Low-Energy Beach Morphology with Respect to Physical Setting: A Case Study from Cockburn Sound, Southwestern Australia , 2007 .

[7]  T. W. Gedra,et al.  Natural gas and electricity optimal power flow , 2003, 2003 IEEE PES Transmission and Distribution Conference and Exposition (IEEE Cat. No.03CH37495).

[8]  Alfredo Vaccaro,et al.  Multiple-Energy Carriers: Modeling of Production, Delivery, and Consumption , 2011, Proceedings of the IEEE.

[9]  Matthias Schulze,et al.  Network flow model for multi-energy systems , 2010 .

[10]  Joel Hernández-Santoyo,et al.  Trigeneration: an alternative for energy savings , 2003 .

[11]  G. Andersson,et al.  Energy hubs for the future , 2007, IEEE Power and Energy Magazine.

[12]  L. Friedrich,et al.  Modeling and optimization of renewables: applying the Energy Hub approach , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[13]  G. Andersson,et al.  Optimal Power Flow of Multiple Energy Carriers , 2007, IEEE Transactions on Power Systems.

[14]  B. De Schutter,et al.  Distributed control applied to combined electricity and natural gas infrastructures , 2008, 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA).

[15]  O. D. Mello,et al.  NATURAL GAS TRANSMISSION FOR THERMOELECTRIC GENERATION PROBLEM , 2004 .

[16]  V. I. Ugursal,et al.  Residential cogeneration systems: Review of the current technology , 2006 .

[17]  C. Trozzi,et al.  Environmental Impact Of Port Activities , 2000 .

[18]  F. Bignucolo,et al.  Distributed multi-generation and application of the energy hub concept in future networks , 2008, 2008 43rd International Universities Power Engineering Conference.

[19]  Matthias Schulze,et al.  Pricing of multi-energy network flow , 2010, 2010 IEEE International Energy Conference.

[20]  Martin Geidl,et al.  Integrated Modeling and Optimization of Multi-Carrier Energy Systems , 2007 .