Optimal network flow for the supply side of the energy-water nexus

Clean energy and water are two essential resources that any society must securely deliver. Their usage raises sustainability issues and questions of nations' resilience in face of global changes and mega-trends such as population growth, global climate change, and economic growth. Recently, attention has been paid to the infrastructure systems for water distribution and power transmission and the coupling between them in what is commonly known as the energy-water nexus. Although numerous policy and regulatory agencies have addressed the subject, rarely is it holistically addressed in terms of an integrated engineering system for its management, planning, and regulation as an interdisciplinary concern. This work specifically addresses the supply side of this integrated engineering system framework. It takes as its subject the real-time optimal flows in power and water networks. Significant background literature is brought to bear on this topic including the emerging co-dispatch of power and water and the more well established optimizations for power and water networks individually. The work presents a mathematical optimization program for the co-dispatch of the two commodities for three types of plants: power generation plants, co-production facilities and water production plants. Production costs are minimized subject to capacity, demand and transmission constraints and demonstrated on an illustrative example of modest size developed from standard test cases. On a practical basis, the program can be applied directly in middle eastern countries where water and power distribution are typically under the responsibility of a single utility. Furthermore, the program provides a systematic method of achieving optimal results and can serve as a basis for set-points upon which individual plants can implement their optimal control. In so doing, it makes a supply-side contribution to the ongoing grand-challenge of improving the sustainability of the energy-water nexus.

[1]  R. Adapa,et al.  A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches , 1999 .

[2]  B. Coulbeck Dynamic simulation of water distribution systems , 1980 .

[3]  Amro M. Farid,et al.  A meta-system architecture for the energy-water nexus , 2013, 2013 8th International Conference on System of Systems Engineering.

[4]  Ali M. El-Nashar,et al.  Economic scheduling of the UAN cogeneration plant: A preliminary optimization study , 1991 .

[5]  R. Pate,et al.  Emerging energy demands on water resources. , 2007 .

[6]  Ali M. El-Nashar,et al.  Cost allocation in a cogeneration plant for the production of power and desalted water : comparison of the exergy cost accounting method with the WEA method , 1999 .

[7]  Andrea Cipollina,et al.  تحلية مياه البحر؛ سيرورات الطاقة التقليدية والمتجددة (Seawater Desalination. Conventional and Renewable Energy Processes) , 2009 .

[8]  Amro M. Farid,et al.  An Engineering Systems Model for the Quantitative Analysis of the Energy-Water Nexus , 2013, CSDM.

[9]  Ali M. El-Nashar,et al.  Optimal design of a cogeneration plant for power and desalination taking equipment reliability into consideration. , 2008 .

[10]  A. M. Farid,et al.  The impact of storage facilities on the simultaneous economic dispatch of power and water networks limited by ramping constraints , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[11]  Garvin A. Heath,et al.  Review of Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies , 2011 .

[12]  Laszlo Gyugyi,et al.  Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems , 1999 .

[13]  M. J. Safi,et al.  Cogeneration applied to water desalination : Simulation of different technologies , 1999 .

[14]  Kamal Youcef-Toumi,et al.  The impact of storage facility capacity and ramping capabilities on the supply side economic dispatch of the energy–water nexus , 2014 .

[15]  John Glasson,et al.  Introduction to Environmental Impact Assessment , 1999 .

[16]  D. Uthitsunthorn,et al.  Power loss minimization using optimal power flow based on particle swarm optimization , 2010, ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[17]  Claudia Pahl-Wostl,et al.  Water security for a planet under pressure: interconnected challenges of a changing world call for sustainable solutions , 2012 .

[18]  P. H. Schavemaker,et al.  Electrical Power System Essentials , 2008 .

[19]  Francisco D. Galiana,et al.  A survey of the optimal power flow literature , 1991 .

[20]  Fikret Akdeniz,et al.  Recent energy investigations on fossil and alternative nonfossil resources in Turkey , 2002 .

[21]  Sardar M. N. Islam,et al.  Making long-term economic growth more sustainable: evaluating the costs and benefits , 2003 .

[22]  Ali M. El-Nashar,et al.  Cogeneration for power and desalination - state of the art review , 2001 .

[23]  Tefaruk Haktanir,et al.  Numerical modeling of Darcy-Weisbach friction factor and branching pipes problem , 2004 .

[24]  Amro M. Farid,et al.  Simultaneous co-optimization for the economic dispatch of power and water networks , 2012 .

[25]  K. Youcef-Toumi,et al.  Real-time economic dispatch for the supply side of the energy-water nexus , 2014 .

[26]  Kit Po Wong,et al.  A test system for combined heat and power economic dispatch problems , 2004, 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings.

[27]  Xiao-Ping Zhang,et al.  Flexible AC Transmission Systems: Modelling and Control , 2006 .

[28]  R. Belmans,et al.  A literature survey of Optimal Power Flow problems in the electricity market context , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[29]  D. V. Chase,et al.  Advanced Water Distribution Modeling and Management , 2003 .

[30]  R. Adapa,et al.  A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods , 1999 .

[31]  G.R.M. da Costa,et al.  Comparative studies of optimization methods for the optimal power flow problem , 2000 .

[32]  Gustaf Olsson,et al.  Water and Energy: Threats and Opportunities , 2012 .