The spatiotemporal optimization of waste water heat recovery based on game theoretic distributed cooperative control

Waste water is a valuable but under-exploited energy source for air conditioning or hot water supplies in society. Recently in Japan, although legislation for waste water heat recovery or development of heat recovery devices has progressed, there has been little research done into how this household-scale heat recovery could be controlled within large waste water networks. Without proper control, waste water heat can be lost during low-demand time periods, and upstream users can thoroughly exploit the heat at the expense of downstream users, which can limit the areas where heat recovery is possible. Our research aims to optimize heat recovery on a city scale, using a model and numerical solutions, which are constructed in a decentralized way. The results suggest that the proposed model and numerical solutions can reduce and level out the overall power consumption both in a virtual waste water network and a real network in Fukuoka city, Japan.

[1]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.

[2]  G. Hamoud,et al.  Assessment of transmission congestion cost and locational marginal pricing in a competitive electricity market , 2004, IEEE Transactions on Power Systems.

[3]  Yi Jiang,et al.  Application of an Exhaust Heat Recovery System for Domestic Hot Water , 2008 .

[4]  S. Hart,et al.  A General Class of Adaptive Strategies , 1999 .

[5]  Keisuke Hanaki,et al.  LIFE CYCLE INVENTORY ANALYSES FOR CO2 EMISSION AND COST OF DISTRICT HEATING AND COOLING SYSTEMS USING WASTEWATER HEAT , 2008 .

[6]  Hansjürg Leibundgut,et al.  The potential of wastewater heat and exergy: Decentralized high-temperature recovery with a heat pump , 2011 .

[7]  Yi Jiang,et al.  Application of an exhaust heat recovery system for domestic hot water , 2010 .

[8]  Jason R. Marden,et al.  Cooperative Control and Potential Games , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[9]  L. Shapley,et al.  REGULAR ARTICLEPotential Games , 1996 .

[10]  H. Young,et al.  The Evolution of Conventions , 1993 .

[11]  L. Shapley,et al.  Fictitious Play Property for Games with Identical Interests , 1996 .

[12]  Masayuki Fujita,et al.  Payoff-based Inhomogeneous Partially Irrational Play for Potential Game Theoretic Cooperative Control of Multi-agent Systems , 2011, ArXiv.

[13]  L. Shapley,et al.  Potential Games , 1994 .

[14]  G. A. Hamoud,et al.  Assessment of transmission congestion cost and locational marginal pricing in a competitive electricity market , 2004 .