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Data Envelopment Analysis Approach to Energy-Saving Projects Selection in an Energy Service Company

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  • Gabriel Villa

    (School of Engineering, Universidad de Sevilla, E41092 Seville, Spain)

  • Sebastián Lozano

    (School of Engineering, Universidad de Sevilla, E41092 Seville, Spain)

  • Sandra Redondo

    (School of Engineering, Universidad de Sevilla, E41092 Seville, Spain)

Abstract

Project selection is a common problem for many companies. Specifically, it consists in identifying which projects should be selected with regard to their economic efficiency, i.e., the projects that maximise the profit they bring in while minimising the cost of the resources consumed. In this paper, we have focused our interest on energy service companies because of the importance of a convenient selection of their projects. In these types of companies, the attractiveness of a project depends on both the profit estimations obtained in simulations of the energy systems to be improved, as well as the probability that the project will be awarded (e.g., in local government bids, where typically several energy service companies compete to win the bid). We propose a new project selection method, especially tailored to energy service companies and based on centralised data envelopment analysis models with limited availability of the resources. This contrasts with all existing project selection methods and allows the proposed approach to make more efficient use of the limited resources. We have applied the model to a real-world case by selecting projects in a Spanish energy service company, showing the benefits of applying this approach, and comparing the results obtained with other data envelopment analysis project selection approaches.

Suggested Citation

  • Gabriel Villa & Sebastián Lozano & Sandra Redondo, 2021. "Data Envelopment Analysis Approach to Energy-Saving Projects Selection in an Energy Service Company," Mathematics, MDPI, vol. 9(2), pages 1-15, January.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:2:p:200-:d:483238
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    References listed on IDEAS

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    2. Lozano, Sebastián & Contreras, Ignacio, 2022. "Centralised resource allocation using Lexicographic Goal Programming. Application to the Spanish public university system," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Kaiyang Zhong & Chenglin Li & Qing Wang, 2021. "Evaluation of Bank Innovation Efficiency with Data Envelopment Analysis: From the Perspective of Uncovering the Black Box between Input and Output," Mathematics, MDPI, vol. 9(24), pages 1-18, December.
    4. Anatoliy Alabugin & Sergei Aliukov & Tatyana Khudyakova, 2022. "Review of Models for and Socioeconomic Approaches to the Formation of Foresight Control Mechanisms: A Genesis," Sustainability, MDPI, vol. 14(19), pages 1-19, September.

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