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Dynamic Evaluation of the Energy Efficiency of Environments in Brazilian University Classrooms Using DEA

Author

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  • Samuel De Alencar Bezerra

    (Electrical Engineering, Technology Center, Federal University of Piauí, Teresina 64015-310, Brazil)

  • Francisco Jackson dos Santos

    (Graduate Program in Applied Informatics, University of Fortaleza, Fortaleza 60811-905, Brazil)

  • Plácido Rogerio Pinheiro

    (Graduate Program in Applied Informatics, University of Fortaleza, Fortaleza 60811-905, Brazil)

  • Fábio Rocha Barbosa

    (Electrical Engineering, Technology Center, Federal University of Piauí, Teresina 64015-310, Brazil)

Abstract

This paper presents an experience applied to a public university campus using Data Envelopment Analysis (DEA) to evaluate and improve the energy efficiency of the indoor spaces of the buildings within the limits of the Federal University of Piauí, considering the lighting (installed power and luminous flux) and air conditioning (absorbed electric power and cooling capacity) input/output variables. Using Brazilian energy efficiency evaluation methods, a comparison was made between DEA and Brazilian standards, with the goal of examining DEA’s performance and feasibility in efficiency improvement. The results revealed that all of the analyzed university classrooms were inefficient, which is coherent with the classification obtained by applying Brazilian standards; the calculated efficiency scores for these rooms varied from 0.7182 to 0.8477, a 0.7848 average. The DEA model, while operating in lighting and air conditioning systems, achieved a reduction of installed power of 43.5% and 22.7%, respectively, totaling a decrease of 25.6%, being able to maintain the standard characteristics of the systems mentioned. According to the DEA models, it was found that the generated targets effectively improved the efficiency of lighting and air-conditioning systems, reducing excessive inputs such as air conditioners’ consumption and increasing deficient outputs such as luminous flux. It is possible to expand this successful application in the layout of the building in the whole campus area to concept small smart city projects; both have been achieved in the public buildings of the administrative body. Results from this paper revealed DEA’s potential in assessing and optimizing the energy efficiency of buildings, improving their sustainability indexes, acting as a tool to support decision-making and benchmarking.

Suggested Citation

  • Samuel De Alencar Bezerra & Francisco Jackson dos Santos & Plácido Rogerio Pinheiro & Fábio Rocha Barbosa, 2017. "Dynamic Evaluation of the Energy Efficiency of Environments in Brazilian University Classrooms Using DEA," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2373-:d:123607
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    1. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach," Energy, Elsevier, vol. 36(5), pages 2765-2772.
    2. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    3. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    4. Sorrell, Steve, 2015. "Reducing energy demand: A review of issues, challenges and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 74-82.
    5. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Mousavi Avval, Seyed Hashem & Rafiee, Hamed, 2011. "Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach," Renewable Energy, Elsevier, vol. 36(9), pages 2573-2579.
    6. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    7. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    8. Geller, Howard & Schaeffer, Roberto & Szklo, Alexandre & Tolmasquim, Mauricio, 2004. "Policies for advancing energy efficiency and renewable energy use in Brazil," Energy Policy, Elsevier, vol. 32(12), pages 1437-1450, August.
    9. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    10. Rovere, Emilio Lebre La & Soares, Jeferson Borghetti & Oliveira, Luciano Basto & Lauria, Tatiana, 2010. "Sustainable expansion of electricity sector: Sustainability indicators as an instrument to support decision making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 422-429, January.
    11. Iribarren, Diego & Vázquez-Rowe, Ian & Rugani, Benedetto & Benetto, Enrico, 2014. "On the feasibility of using emergy analysis as a source of benchmarking criteria through data envelopment analysis: A case study for wind energy," Energy, Elsevier, vol. 67(C), pages 527-537.
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