An analytical study of critical factors in residential cogeneration optimization

An analytical study is elaborated to determine the principal factors that affect the optimum size of combined heat and power (CHP) units in residential applications. The optimum thermal capacity of CHP was found to correspond to 30–50% of the maximum heating load, but proved to be stronger correlated to the annual heating degree-days instead of the minimum temperature of the area. The optimum capacity was found dependent on the balance temperature of the dwelling; the shape of the ambient temperature duration curve; the economy of scale exponent of CHP units cost; the variation of CHP part load efficiencies. On the contrary, prevailing energy prices proved to have a minor effect on the optimum CHP capacity.

[1]  Ennio Macchi,et al.  Experimental and numerical study of a micro-cogeneration Stirling engine for residential applications , 2014 .

[2]  Keith J. Moss.  Energy management and operating costs in buildings , 1997 .

[3]  Alfredo Gimelli,et al.  Optimization criteria for cogeneration systems: Multi-objective approach and application in an hospital facility , 2013 .

[4]  Edoardo Amaldi,et al.  A detailed MILP optimization model for combined cooling, heat and power system operation planning , 2014 .

[5]  Andrea De Pascale,et al.  Guidelines for residential micro-CHP systems design , 2012 .

[6]  Andrzej Ziębik,et al.  Optimal coefficient of the share of cogeneration in district heating systems , 2012 .

[7]  P. R. Spina,et al.  Analysis of innovative micro-CHP systems to meet household energy demands , 2012 .

[8]  Gianni Bidini,et al.  Implementation of a cogenerative district heating : Optimization of a simulation model for the thermal power demand , 2006 .

[9]  John Gelegenis.  Diagrams for the Correction of Heating Degree-Days to Any Base Temperature , 2010 .

[10]  Robert Ries,et al.  Optimization for cogeneration systems in buildings based on life cycle assessment , 2006, J. Inf. Technol. Constr..

[11]  Enrico Carpaneto,et al.  Cogeneration Planning under Uncertainty. Part I: Multiple Time Frame Formulation , 2011 .

[12]  Ennio Macchi,et al.  On-off Cyclic Testing of a Micro-cogeneration Stirling Unit , 2015 .

[13]  Klaus D. Timmerhaus,et al.  Plant design and economics for chemical engineers , 1958 .

[14]  John Gelegenis,et al.  Residential cogeneration of heat and power: a promising way to sustainability, a challenging field for tutors , 2015 .

[15]  Frank Schultmann,et al.  Electricity and substitute natural gas generation from the conversion of wastewater treatment plant sludge. , 2014 .

[16]  Luca Evangelisti,et al.  Calculation model for optimization design of low impact energy systems for buildings , 2014 .

[17]  K. Khan,et al.  Energy conservation in buildings: cogeneration and cogeneration coupled with thermal energy storage , 2004 .

[18]  John Gelegenis,et al.  A simplified quadratic expression for the approximate estimation of heating degree-days to any base temperature , 2009 .

[19]  Ho-Young Kwak,et al.  Economic optimization of a cogeneration system for apartment houses in Korea , 2008 .

[20]  Francesco Melino,et al.  Influence of the thermal energy storage on the profitability of micro-CHP systems for residential building applications , 2012 .