2018
DOI: 10.1016/j.apenergy.2018.05.045
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Performance assessment of hybrid chiller systems for combined cooling, heating and power production

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Cited by 41 publications
(5 citation statements)
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“…In addition, the results suggested the interest of cooling production in single-effect absorption chillers, and to a lesser extent in double-effect absorption chillers, as long as they were driven by cogenerated heat. This is in agreement with the findings by Ahn et al [65] about a hybrid electric-absorption chiller in a gas engine-based CCHP system.…”
Section: Optimal Operation Of the Cchp Systemsupporting
confidence: 93%
“…In addition, the results suggested the interest of cooling production in single-effect absorption chillers, and to a lesser extent in double-effect absorption chillers, as long as they were driven by cogenerated heat. This is in agreement with the findings by Ahn et al [65] about a hybrid electric-absorption chiller in a gas engine-based CCHP system.…”
Section: Optimal Operation Of the Cchp Systemsupporting
confidence: 93%
“…In another case when the delivered electricity cannot fully meet the load demands, alternative multiple energy productions from local CCHP system can be utilized as supplements [10] , [11] , [12] , [13] . In the LMG based CCHP scheme in Fig.…”
Section: Principle and Benefit Evaluation Of Multiple Energy Supply S...mentioning
confidence: 99%
“…In addition to improving the energy efficiency of healthcare and medical facilities, there are mainly two approaches to reduce the burden of power and fuel consumptions. One is using local renewable energy sources (RESs) such as solar and wind [6] , [7] , [8] , [9] , and the other is adopting multi-energy integration techniques such as combined heat and power (CHP), and combined cooling, heating, and power (CCHP) [10] , [11] , [12] , [13] . For most renewable energy sources, they are generally fluctuating, intermittent and unpredictable [14] .…”
Section: Introductionmentioning
confidence: 99%
“…Yang et al (Yang and Zhai 2019) applied these reference data and models to optimize and assess hybrid energy systems. In this study, 2 and Table 3, respectively (Ahn et al 2018;Jing et al 2017;Tan et al 2017;Zhang et al 2018;Zhou et al 2013a). The MILP problem is solved with the CPLEX solver in the MATLAB environment.…”
Section: Case Studymentioning
confidence: 99%
“…Technical parameters of the components(Ahn et al 2018;Jing et al 2017;Tan et al 2017;Zhang et al 2018;Zhou et al 2013a) …”
mentioning
confidence: 99%