A Model for the Optimal Management of a CCHP Plant

Distributed Generation can give a relevant contribution to the reduction of the primary energy needs and consequently of the green-house gases emissions. Moreover, it can stimulate the diffusion of renewable energy exploitation technologies through integration. This is widely relevant for the household sector, where energy is required in several forms: electric, heating, cooling. In this paper an energy system optimization model is proposed. The model optimizes the components size and their operating conditions during the day. The energy system is composed of a combined cooling, heating and power system, based on an internal combustion engine and an absorption heat pump integrated with solar thermal and photovoltaic systems. The model minimizes the costs and/or the CO2 emissions and the results reveal that the engine variable operating conditions are more effective than the steady state.

[1]  Vittorio Verda,et al.  THERMOECONOMIC COST ANALYSIS OF CENTRAL SOLAR HEATING PLANTS COMBINED WITH SEASONAL STORAGE , 2010 .

[2]  Manuel Collares-Pereira,et al.  Statistical properties of hourly global radiation , 1992 .

[3]  Albert Moser,et al.  Optimization of Thermal Energy Storage Systems in Distributed Generation Systems , 2012 .

[4]  Petr Stluka,et al.  Decision support tools for advanced energy management , 2008 .

[5]  Mohammad Yusri Hassan,et al.  Optimal distributed renewable generation planning: A review of different approaches , 2013 .

[6]  Zacharias B. Maroulis,et al.  Design of a combined heating, cooling and power system: Sizing, operation strategy selection and parametric analysis , 2010 .

[7]  Jiří Jaromír Klemeš,et al.  Total Site targeting with process specific minimum temperature difference (ΔTmin) , 2012 .

[8]  I. Vechiu,et al.  Hybrid Energy Storage Systems for renewable Energy Sources Integration in microgrids: A review , 2010, 2010 Conference Proceedings IPEC.

[9]  Michele Anatone,et al.  Optimization of integrated CCHP and solar plants following a multi-objective approach. An application to the household sector , 2014 .

[10]  Gianfranco Rizzo,et al.  Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage , 2012 .

[11]  Michele Anatone,et al.  Integration of CCHP and solar plants for household applications a multiobjective optimization model , 2013, 2013 International Conference on Renewable Energy Research and Applications (ICRERA).

[12]  Zaijun Wu,et al.  Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review , 2014 .

[13]  S. Iniyan,et al.  A review of renewable energy based cogeneration technologies , 2011 .

[14]  R. Lohde,et al.  Research laboratory for grid integration of distributed renewable energy resources - design and realization - , 2012, 2012 IEEE Energy Conversion Congress and Exposition (ECCE).

[15]  Aviel Verbruggen,et al.  The merit of cogeneration: Measuring and rewarding performance , 2008 .

[16]  Tor-Martin Tveit,et al.  Multi-period MINLP model for optimising operation and structural changes to CHP plants in district heating networks with long-term thermal storage , 2009 .

[17]  C. Y. Zheng,et al.  A novel operation strategy for CCHP systems based on minimum distance , 2014 .

[18]  Bernd Möller,et al.  End-use energy savings and district heating expansion in a local renewable energy system: A short-term perspective , 2012 .

[19]  Brian Vad Mathiesen,et al.  The role of district heating in future renewable energy systems , 2010 .

[20]  Andrea Luigi Facci,et al.  Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming , 2014 .

[21]  Daniele Fiaschi,et al.  Thermo-economic assessment of a micro CHP system fuelled by geothermal and solar energy , 2013 .

[22]  Pierluigi Mancarella,et al.  Distributed multi-generation: A comprehensive view , 2009 .

[23]  David Diarra,et al.  A method to determine primary energy savings of CHP plants considering plant-side and demand-side characteristics , 2014 .

[24]  Ruzhu Wang,et al.  Optimal operation of a micro-combined cooling, heating and power system driven by a gas engine , 2009 .

[25]  Andrea Luigi Facci,et al.  Analysis of the influence of Thermal Energy Storage on the Optimal Management of a Trigeneration Plant , 2014 .

[26]  Giorgia Baccino,et al.  Thermoeconomic approach for the analysis of control system of energy plants , 2012 .

[27]  Irene P. Koronaki,et al.  Thermodynamic analysis and experimental investigation of a Solo V161 Stirling cogeneration unit , 2012 .

[28]  Alexandra M. Newman,et al.  Optimal Design and Dispatch of Distributed Generation Systems , 2012 .

[29]  Pavlos S. Georgilakis.  STATE-OF-THE-ART OF DECISION SUPPORT SYSTEMS FOR THE CHOICE OF RENEWABLE ENERGY SOURCES FOR ENERGY SUPPLY IN ISOLATED REGIONS , 2006 .

[30]  S. K. Srivastava,et al.  A distributed fault protection method for power grid with high penetration of Renewable Energy Sources , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[31]  Anne Grete Hestnes,et al.  Building Integration Of Solar Energy Systems , 1999 .

[32]  John B. Heywood,et al.  Internal combustion engine fundamentals , 1988 .

[33]  Luis M. Serra,et al.  Operational strategy and marginal costs in simple trigeneration systems , 2009 .