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
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Extra resources for Combined cooling, heating and power : decision-making, design and optimization
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  used a particle swarm optimization algorithm (PSOA) for a CCHP system that is approximately similar to that presented in . 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 . The Monte Carlo method (MCM) is used to simulate the uncertainty and is coupled with mixed-integer nonlinear programming (MINLP).
In Ref.  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 . 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 . 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  and .