Eventos Anais de eventos
ENCIT 2022
19th Brazilian Congress of Thermal Sciences and Engineering
MINIMIZATION OF ELECTRICITY GENERATION COSTS WITH SMALL CAPACITIES CC-MCI-CRO
Submission Author:
Claudio Silva , MG
Co-Authors:
Claudio Silva, Alexander Weimann , Leonardo Silva Oliveira, Marcos Araújo Lima Parreiras, Felipe Raul Ponce Arrieta
Presenter: Emerson Paulino dos Reis
doi://10.26678/ABCM.ENCIT2022.CIT22-0129
Abstract
ABSTRACT The use of internal combustion engines (ICE) to drive electrical machines for electric power generation is usual and have many applications from small generators for commercial buildings to large machines for power generation for cities, large ships, locomotives, mining equipement. The possibility of waste heat recovery from internal combustion engines (ICE) should be increasingly studied and evaluated, as it can result in excellent economic gains and environmental improvements. In this article, our objective is to estimate the potential of waste heat recovery of an ICM through the Organic Rankine Cycle (CRO), aiming to reach the maximization in the ratio between electricity generation by electricity production cost. We consider the amount of energy available in the exhaust gases and coolant of an ICE. For this we use a Wartsila 46DF engine – 4 stroke engine with 10.3 MW of power, widely used in marine applications – being 4.9 MW and 1.7 MW, respectively. The study was developed in stages, going through “Thermal Cycle Definition, “Thermal Cycle Modeling and finally the “Optimization of Heat Recovery Results”. The Organic Rankine cycle configuration with two regenerative transcritical pressure levels was chosen to reuse the heat dissipated from the engine. The chosen cycle adopts supercritical evaporation at the high pressure level and partial evaporation at the low pressure level and adopts Cyclopentane as the working fluid. The cycle was modeled in EES (Engineering Equation Solver). The modeling included mass, energy, entropy and exergy balances for each component and for the cycle as a whole. The influence of the variables of interest in the cycle on performance and cost parameters was evaluated. The cycle optimization was performed using the genetic algorithms method available in EES. For the plant configuration that presented the best results, the modeled cycle presented a net power of 1,020 kW, a thermal efficiency of 17.65% and an investment cost of 3,026 R$/kW, in accordance with the standards currently observed with the growing development of electricity generation from waste heat in internal combustion engines.
Keywords
Organic Rankine Cycle, Waste heat Recovery, Electricity generation, Optimization, cost, INTERNAL COMBUSTION ENGINES
