Influence of technical and economic factors in the assessment of energy efficiency projects in industry

Diaconescu, Ioana; Pătraşcu, Roxana; Tutica, Diana; Ionescu, Constantin; Minciuc, Eduard

doi:10.1109/ciem46456.2019.8937703

Cited by 2 publications

(1 citation statement)

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“…The scenario in which the maximum values of the technical-economic indicators are obtained is Scenario 2, namely income, the "virtual receipts" of annual costs, related to "virtual sales" of the entire amount of heat produced by the implementation of the proposed scheme (Table 5). To eliminate the degree of uncertainty of the prediction of certain quantities that intervene in the calculation of economic indicators for the entire analysed period (20 years), it is opportune to conduct a sensitivity analysis on the economic efficiency indicators to the variation of quantities that are relatively difficult to predict [14]. In this sense, the variation of NPV, IRR, PP were analysed for the optimal solution from a technical-economic point of view, depending on the following:…”

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Technical-Economic Analysis of a Hybrid Thermal Energy Supply System Based on Renewable Energy Sources

Pătraşcu

Ionescu

Sandu

et al. 2020

The 14th International Conference on Interdisciplinarity in Engineering—INTER-Eng 2020

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The technical-economic analysis represents a decisional factor in the implementation of a new thermal energy supply system and is a key part of the feasibility study. In the present paper, the economic performance indicators, used as evaluation instruments within the analysis, highlight the economic efficiency of each proposed scenario and offer an establishment of hierarchy for them. Based on this analysis, the optimal scenario can be recommended, such that the benefits are maximized. The sensibility analysis, performed for the optimal scenario at the end of the paper, shows an estimation of the effects throughout the lifespan of the new system. This is beneficial to pre-empt negative effects or to stimulate the factors that can increase the efficiency of the system throughout the entire lifespan.

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confidence: 99%