000015206 001__ 15206
000015206 005__ 20241218133702.0
000015206 020__ $$a978-1-7138-7492-8
000015206 0247_ $$2DOI$$a10.52202/069564-0078
000015206 037__ $$aCONFERENCE
000015206 039_9 $$a2024-12-18 13:37:02$$b0$$c2024-12-18 10:13:39$$d1000062$$c2024-12-17 17:20:46$$d0$$y2024-12-17 17:20:38$$z1000099
000015206 041__ $$aeng
000015206 245__ $$aThe general exergy method of heating/cooling technology design for optimization
000015206 269__ $$a2023-06
000015206 300__ $$a12 p.
000015206 506__ $$avisible
000015206 520__ $$9eng$$aA general exergy based-design method for optimization of heat pump/refrigeration systems is proposed. It is based on a concept of overall temperature level of a flow-energy, to propose a general expression of overall exergy efficiency and losses of any heat pump/refrigeration cycle. Explicit and general relations of exergy efficiency and coefficient of performances are given to evaluate de performance of such cycles regarding the selection of working fluids, the characteristic of equipment (pinches on evaporators and condensers, performance characteristics of compressors and expansion valve) and the design methods for optimization. Rigorously we introduce the overall and complete exergy efficiency for the most general cases where two energy services are provided, like producing simultaneously refrigeration and heating services or when the cycle is located in a temperature domain far from the atmospheric temperature. This complete exergy efficiency is determined by considering losses in the various components of the cycle and permits to analyse the various cases of heat pump systems including frigopump and thermopump with or without cogeneration systems. Such a method will facilitate the use of exergy theory in a way to highlight the existing link and relationship between energy and exergy losses of heat pump systems. Results of using such a method will be shown for simple and advanced cycles. Results show that the coefficient of performance of a heat pump/refrigeration installation does not necessarily depend on the reference atmospheric temperature but only on the intrinsic parameters relating to the choice of cycle, the operating conditions and the components of the machine. These parameters are obviously chosen according to the temperature levels of the available sources.
000015206 540__ $$acorrect
000015206 592__ $$aHEIA-FR
000015206 592__ $$bEnergy - Institut de recherche appliquée en systèmes énergétiques
000015206 592__ $$cIngénierie et Architecture
000015206 6531_ $$9eng$$athermodynamics
000015206 6531_ $$9eng$$aexergy losses
000015206 6531_ $$9eng$$aexergy efficiency
000015206 6531_ $$9eng$$aeffectiveness
000015206 6531_ $$9eng$$adesign and optimisation method
000015206 655_7 $$apublished full paper
000015206 700__ $$aKane, Malick$$uSchool of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences and Arts Western Switzerland
000015206 700__ $$aFavrat, Daniel$$uEPFL, Lausanne, Switzerland
000015206 711__ $$a36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)$$cLas Palmas de Gran Canaria, Spain$$d2024-06-25$$m2024-06-30
000015206 773__ $$tProceedings of the 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023), 25-30 June 2023, Las Palmas de Gran Canaria, Spain$$j2024$$q863-874
000015206 8564_ $$uhttps://arodes.hes-so.ch/record/15206/files/Kane_2023_general_exergy_method_heating_cooling_technology_design_optimization.pdf$$yPublished version$$9508a534a-ed43-4969-816a-373260750438$$s2122131
000015206 906__ $$aGOLD
000015206 909CO $$ooai:hesso.tind.io:15206$$pGLOBAL_SET
000015206 950__ $$aaucun
000015206 980__ $$aconference
000015206 981__ $$aconference