Bibliographic citations
Díaz, R., Ordinola, D. (2015). Influencia en la Instalación del turbo generador de 21,7 MW en la repotenciación de la Central de Cogeneración de Agroindustrias San Jacinto S.A.A. [Tesis, Universidad Nacional del Santa]. https://hdl.handle.net/20.500.14278/2010
Díaz, R., Ordinola, D. Influencia en la Instalación del turbo generador de 21,7 MW en la repotenciación de la Central de Cogeneración de Agroindustrias San Jacinto S.A.A. [Tesis]. : Universidad Nacional del Santa; 2015. https://hdl.handle.net/20.500.14278/2010
@misc{renati/779840,
title = "Influencia en la Instalación del turbo generador de 21,7 MW en la repotenciación de la Central de Cogeneración de Agroindustrias San Jacinto S.A.A.",
author = "Ordinola Miranda, Denis Jenpierre",
publisher = "Universidad Nacional del Santa",
year = "2015"
}
This thesis report presents the behavior of turbo generator of 21,7 MW in the repowering of the cogeneration plant San Jacinto S.A.A agribusiness, through technical and economic feasibility of the cogeneration plant, which aims to feed itself 1 00 % of electricity and sell excess power generated at SEIN (national electricity grid); taking into account Regulation Cogeneration of Peru Supreme Decree No. 037- 2006 EM, regulations to mention the guidelines for the classification of these cogeneration according to type of technology they have. This company is Jocated in the province of Santa, Nepeña district and is dedicated to sugar cane processing. Experimental methods were applied , considering existing plant data at full production capacity and limits likely to have the new turbo generator ; the qualification criteria for cogeneration plants are also taken into account as the standard, in this case biomass; settlement cases were raised trying not to alter the basic productive process for this study analyzed 2 models with their respective four case studies for cogeneration systems and then provide technically feasible alternative solution. Parameters were determined as useful heat, heat supplied and the effective power to generate, taking into account operating conditions, obtaining generation prices and a surplus of power which is quantified for subsequent sale to the power grid and produce a return to the company to become Qualified Cogeneration Company. Optimal technical indicators were identified and obtained 18,44 MW electric power generation, heat flow supplied equal to 133,94 MW thermal and 71 ,3 MW thermal.
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