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Energy and its surrounding issues have become major problems around the world for decades and leading to a global concern about efficient energy use. Energy Service Companies (ESCOs) play a significant role in energy saving projects. Regarding various practicable financial mechanisms and potential customers, selection of profitable projects and proper financial mechanisms is vital for the ESCOs. This paper is carried out in two stages. The first stage comprises a mathematical model to find the optimum set of projects to be accepted by an ESCO. The presented model has two objectives, including minimization of risk and maximization of benefit. According to the business of the ESCOs, three major financial mechanisms are considered including internal, debt and leasing financing. Hence, the second stage involve ranking these financial mechanisms by an integrated AHP-fuzzy PROMETHEE method, in order to finance the selected optimal bundle of projects, which are obtained at the first stage.

An Integrated Multi-Criteria Decision-Making Approach for Portfolio Problem in Energy Service Companies under Uncertainty