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Environmental-constrained energy planning using energy-efficiency and distributed-generation facilities

Author

Listed:
  • Dicorato, M.
  • Forte, G.
  • Trovato, M.

Abstract

In this paper linear programming optimisation procedure based on energy flow optimisation model (EFOM) is proposed for evaluating the contribution of distributed-generation (DG) production and energy-efficiency actions. The proposed methodology details exploitation of primary energy sources, power and heat generation, emissions and end-use sectors. The model framework has been enhanced to include a description of DG contributions and energy-efficiency improvements. In particular, a detailed description of the power grid has been made to take account of different voltage levels in electricity production and energy demand. The presence of mandatory energy-saving targets in the civil sector is considered under suitable constraints. By aiming to reduce environmental impact and operational costs, the following optimisation process provides feasible generation settlements between large-scale generation and DGs, and optimal diffusion of energy-efficiency technologies. The proposed methodology is applied to a realistic energy system.

Suggested Citation

  • Dicorato, M. & Forte, G. & Trovato, M., 2008. "Environmental-constrained energy planning using energy-efficiency and distributed-generation facilities," Renewable Energy, Elsevier, vol. 33(6), pages 1297-1313.
  • Handle: RePEc:eee:renene:v:33:y:2008:i:6:p:1297-1313
    DOI: 10.1016/j.renene.2007.07.011
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    References listed on IDEAS

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    1. Langniss, Ole & Praetorius, Barbara, 2006. "How much market do market-based instruments create? An analysis for the case of "white" certificates," Energy Policy, Elsevier, vol. 34(2), pages 200-211, January.
    2. Cormio, C. & Dicorato, M. & Minoia, A. & Trovato, M., 2003. "A regional energy planning methodology including renewable energy sources and environmental constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(2), pages 99-130, April.
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