22 23 This work presents a thermoeconomic analysis of a cogeneration system using 24 the exhaust gas from a natural gas-fueled diesel power generator as heat source for an 25 ammonia-water absorption refrigeration system. The purpose of the analysis is to obtain 26 both unit exergetic and exergoeconomic costs of the cogeneration system at different 27 load conditions and replacement rates of diesel oil by natural gas. A thermodynamic 28 model of the absorption chiller was developed using the Engineering Equation Solver 29 (EES) software to simulate the exergetic and exergoeconomic cogeneration costs. The 30 data entry for the simulation model included available experimental data from a dual-31 fuel diesel power generator operating with replacement rates of diesel oil by natural gas 32 of 25%, 50% and 75%, and varying engine load from 10 kW to 30 kW. Other required 33 data was calculations using the GateCycle software, from the available experimental 34 data. The results show that, in general, the cogeneration cold unit exergetic and 35 exergoeconomic costs increases with increasing engine load and decreases with 36 increasing replacement rate of diesel oil by natural gas under the conditions 37 investigated. Operating with 3/4 of the rated engine power and replacing 50% of diesel 38 oil by natural gas, the exergoeconomic cost of the produced power is increased by 75%, 43 39 and the exergoeconomic cost of the produced cold is decreased by 17%. The electric 40 power unit exergetic and exergoeconomic costs indicate that the replacement of diesel 41 oil by natural gas is feasible in the present considerations for engine operation at 42 medium and high loads. 43 2 63 64 65
This paper presents the calculation of energy performance indicators of a company in the hotel sector in Barranquilla, Colombia. For the calculation of the saving potentials, two-year electricity and gas consumption data (2014-2015) were analyzed, an inventory was made of all the energy consuming equipment and the power quality was measured in those with greater significant use of energy. The methodology used for this study is based on the tools of an Energy Management System (EMS). When analyzing the information, it was found that 71% of the primary energy is electrical and that there is a correlation between the monthly consumption of electric power and the equivalent occupation corresponding to 67%, which indicated that the variations in energy consumption were determined and affected significantly by the change in monthly equivalent occupation (OE). On the other hand, it was found that the mathematical model of this behavior is represented by a Baseline calculated from which it was found that the energy not associated to the equivalent occupation (OE) represents 59% of the average monthly electrical energy consumed. As for the target line which reflects the existence of best operational practices for the same occupation level.
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