Combined cooling, heating and power : decision-making, by Masood Ebrahimi, Ali Keshavarz

By Masood Ebrahimi, Ali Keshavarz

A certified reference identify written basically for researchers in thermal engineering, Combined Cooling, Heating and gear: Decision-Making, layout and Optimization summarizes present learn on decision-making and optimization in mixed cooling, heating, and tool (CCHP) structures. The authors offer examples of utilizing those decision-making instruments with 5 examples that run during the book.

  • Offers a distinct emphasis on more recent recommendations in decision-making
  • Provides examples of decision-making instruments with 5 examples that run during the book

Show description

By Masood Ebrahimi, Ali Keshavarz

A certified reference identify written basically for researchers in thermal engineering, Combined Cooling, Heating and gear: Decision-Making, layout and Optimization summarizes present learn on decision-making and optimization in mixed cooling, heating, and tool (CCHP) structures. The authors offer examples of utilizing those decision-making instruments with 5 examples that run during the book.

  • Offers a distinct emphasis on more recent recommendations in decision-making
  • Provides examples of decision-making instruments with 5 examples that run during the book

Show description

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Extra resources for Combined cooling, heating and power : decision-making, design and optimization

Example text

Energy 36, 3816–3824. , 2010. A Novel Method for the Design of CHCP (Combined Heat, Cooling and Power) Systems for Buildings. Energy 35, 2972–2984. , 2010. Thermoeconomic Assessment of a MultiEngine, Multi-Heat-Pump CCHP (Combined Cooling, Heating and Power Generation) System – A Case Study. Energy 35, 3540–3550. , 2010. Desiccant Hvac System Driven by a Micro-CHP: Experimental Analysis. Energy and Buildings 42, 2028–2035. , 2010. Experimental Studying of a Small Combined Cold and Power System Driven by a Micro Gas Turbine.

Furthermore, they calculated the exergy loss and exergy efficiency of the CCHP components. Reference [42] used a particle swarm optimization algorithm (PSOA) for a CCHP system that is approximately similar to that presented in [35]. However, they considered a total cost function and minimized it with the PSOA. The impact of energy demand uncertainty on the feasibility and design of the CCHP system is investigated in [43]. The Monte Carlo method (MCM) is used to simulate the uncertainty and is coupled with mixed-integer nonlinear programming (MINLP).

In Ref. [68] an ORC is integrated with an MGT and uses its exhaust energy to produce extra power. An ejector cooling system combined with an ORC is also simulated by [69]. They presented energy and exergy analyses for the cycle. The impact of climate difference on the design and sizing of CCHP systems is studied by [70]. They used the MRM method to size the engine of the CCHP cycle in five different climates of Iran. They also used multicriteria decision-making/sizing methods for selecting the prime mover type/size [71] and [72].

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