Search Results

1 - 2 of 2 items :

  • Author: Aldona Kluczek x
  • Production Technology x
Clear All Modify Search


In pursuit of higher energy savings and de-carbonization, greater fuel diversity and lower pollutant emission is possible by production processes through energy-savings opportunities and associated environmentally-benign technologies. Current production processes represents the biggest consumption of energy, and the greatest amount of emissions emitted to the environment. Improvement in energy efficiency is considered as the basic principle in realizing energy-saving, bringing cost-effective benefits and reduction of greenhouse emissions. Hence, this study proposes a framework to assess alternative sustainability of cogeneration systems, integrating the economic, environmental, and social indicators. The results showed that the cogeneration system with a new boiler with a 600 PSIG pressure and a new turbine seems to be a cost-efficient solution compared to the baseline scenario saving energy at the level of 1,823,072 kWh/yr (63%) against the baseline scenario. In the case study, the implemented solution in the plant improved the overall sustainability degree of technology by 53% (from 46% as baseline to 97%).


Technology assessment (TA) is not a new concept. High value energy technology identification needs to be followed by a decision process in which all shareholders contribute. A case study on Combined and Heat Power (CHP) technologies considered is presented to illustrate the applicability of fuzzy analytical hierarchy assessment approach (FAHP). The goal of this paper is to identify and evaluate the best variant of CHP technologies using multi-criteria that are technical feasibly and cost effective reflecting performance parameters. The results depict that technology A2 with an overall ranking of 0.438 is the best alternative compared to others. Taking into consideration decision parameters for the section, A1 is found to be relatively most important with a rating of 0.434 with its reliability and cost effectiveness. The presented fuzzy-based methodology is general expected to be used by a diverse target groups in energy sectors.