Energy efficient operating strategies for building combined heat and power systems

A method was developed and demonstrated for evaluating and visualizing the optimal operating strategies for building combined heat and power systems. The method uses models of the component load-dependent operating characteristics matched to specific electrical and thermal load combinations for the building in a framework that substantially reduces the size of the search space and associated computational burden. The overall system primary energy input is determined for the range of possible operating conditions and is represented in the form of a performance map, allowing optimal component operating conditions and allocation of thermal energy to be determined by the operator or supervisory control system. The method was demonstrated for eight scenarios that were selected to cover a range of load combinations, and the optimal operating conditions were determined along with several metrics of energy use for the combined heat and power system compared to a conventional system and the overall system energy utilization factor.

[1]  Nikos D. Hatziargyriou,et al.  Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities , 2007 .

[2]  Pedro J. Mago,et al.  Analysis and optimization of CCHP systems based on energy, economical, and environmental considerations , 2009 .

[3]  D. T. Rizy,et al.  Laboratory R&D on integrated energy systems (IES) , 2006 .

[4]  Louay M. Chamra,et al.  Cost-optimized real-time operation of CHP systems , 2009 .

[5]  T. Agami Reddy,et al.  General Methodology Combining Engineering Optimization of Primary HVAC&R Plants with Decision Analysis Methods—Part I: Deterministic Analysis , 2007 .

[6]  P. Fraser.  Distributed generation in liberalised electricity markets , 2003 .

[7]  Ruzhu Wang,et al.  COMBINED COOLING, HEATING AND POWER: A REVIEW , 2006 .

[8]  T. Agami Reddy,et al.  Cost penalties of near-optimal scheduling control of BCHP dystems: Part i - Selection of case study scenarios and data generation , 2009 .

[9]  G. Chicco,et al.  From cogeneration to trigeneration: profitable alternatives in a competitive market , 2006, IEEE Transactions on Energy Conversion.

[10]  Luis M. Serra,et al.  Structure optimization of energy supply systems in tertiary sector buildings , 2009 .

[11]  Ryohei Yokoyama,et al.  Optimal Operation of a Cogeneration Plant in Combination With Electric Heat Pumps , 1994 .

[12]  Roger C. Dugan,et al.  Distributed generation , 2002 .

[13]  M. R. von Spakovsky,et al.  The Performance Optimization of a Gas Turbine Cogeneration / Heat Pump Facility with Thermal Storage. , 1995 .

[14]  Energy Systems Management and Greenhouse Gas Reduction , 1995 .

[15]  H.-J. Ehmke.  Size optimization for cogeneration plants , 1990 .

[16]  Antonio Piacentino,et al.  On thermoeconomics of energy systems at variable load conditions: Integrated optimization of plant design and operation , 2007 .

[17]  Plamen Angelov,et al.  Evolutionary Synthesis of HVAC System Configurations: Algorithm Development (RP-1049) , 2008 .

[18]  V. I. Hanby,et al.  System optimization for HVAC energy management using the robust evolutionary algorithm. , 2009 .

[19]  Zhenjun Ma,et al.  Supervisory and Optimal Control of Building HVAC Systems: A Review , 2008 .

[20]  T. Agami Reddy,et al.  Cost penalties of near-optimal scheduling control of BCHP systems: Part II - Modeling, optimization, and analysis results , 2009 .