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A model for an economic evaluation of energy systems using TRNSYS

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  • Villa-Arrieta, Manuel
  • Sumper, Andreas

Abstract

This paper presents a technical-economic model for the evaluation of energy systems called Energy Assessment Tool of Energy Projects (EATEP). It was created with the TRaNsient System Simulation Tool (TRNSYS) and works in parallel to the technical simulations in this software. The EATEP links, in hourly time steps, technical and economic variables that can determine the functioning of energy systems and the profitability of the investment required for their implementation. The economic calculation procedure, as described in the European standard EN 15459:2007, of the Energy Performance of Buildings Directive (EPBD) of the European Commission, has been adapted to the characteristics of TRNSYS to develop the calculation methodology of the EATEP. The final use of this resulting tool is the evaluation of the energy self-consumption of communities from the technical-economic point of view, analyzing the investment in distributed generation systems by consumers, prosumers and energy producers. The operation of the EATEP has been validated through two cases that demonstrate the wide range of its applicability and versatility. In the first case, the calculation of indicators identifies the best alternative among various investment options in the evaluation of self-consumption energy systems. The second case, evaluates systems in which producers, consumers and prosumers exchange energy and economic flows; the tool calculates indicators of costs, revenue and income (the margin between revenue and costs).

Suggested Citation

  • Villa-Arrieta, Manuel & Sumper, Andreas, 2018. "A model for an economic evaluation of energy systems using TRNSYS," Applied Energy, Elsevier, vol. 215(C), pages 765-777.
    • Handle: RePEc:eee:appene:v:215:y:2018:i:c:p:765-777
    DOI: 10.1016/j.apenergy.2018.02.045
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    3. Zhao, Bin & Ren, Yi & Gao, Diankui & Xu, Lizhi & Zhang, Yuanyuan, 2019. "Energy utilization efficiency evaluation model of refining unit Based on Contourlet neural network optimized by improved grey optimization algorithm," Energy, Elsevier, vol. 185(C), pages 1032-1044.
    4. Alammar, Ahmed A. & Rezk, Ahmed & Alaswad, Abed & Fernando, Julia & Olabi, A.G. & Decker, Stephanie & Ruhumuliza, Joseph & Gasana, Quénan, 2022. "The technical, economic, and environmental feasibility of a bioheat-driven adsorption cooling system for food cold storing: A case study of Rwanda," Energy, Elsevier, vol. 258(C).
    5. Echarri-Iribarren, Victor & Echarri-Iribarren, Fernando & Rizo-Maestre, Carlos, 2019. "Ceramic panels versus aluminium in buildings: Energy consumption and environmental impact assessment with a new methodology," Applied Energy, Elsevier, vol. 233, pages 959-974.

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