Benchmarking the energy performance of office buildingsA data envelopment analysis approach

  1. Molinos Senante, María 1
  2. Encinas Pino, Felipe 1
  3. Ureta, Francisca 1
  1. 1 Pontificia Universidad Católica de Chile
    info

    Pontificia Universidad Católica de Chile

    Santiago de Chile, Chile

    ROR https://ror.org/04teye511

Revista:
Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

ISSN: 1575-605X

Año de publicación: 2016

Volumen: 17

Número: 2

Páginas: 179-190

Tipo: Artículo

DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

Resumen

Lograr la eficiencia energética en edificios es un importante reto al que enfrentan tanto los países desarrollados como en vías de desarrollo. Sin embargo, muy pocos trabajos previamente han evaluado la eficiencia energética de edificios de oficinas utilizando datos reales. Para superar esta limitación, este artículo propone un índice de eficiencia energética para edificios con un gran porcentaje de ventanas y utiliza este índice para identificar los principales factores arquitectónicos que afectan al desempeño energético. En este trabajo se evalúa, por primera vez, la eficiencia energética de 34 edificios de oficinas en Santiago de Chile, mediante el uso del método análisis envolvente de datos. La eficiencia energética se descompone en dos índices: el índice de eficiencia energética arquitectónica y el índice de eficiencia de gestión energética. Esta descomposición es un paso esencial en la identificación de las principales causas de ineficiencia energética y diseñar medidas para su mejora. Los resultados muestran que los edificios de oficinas evaluados tienen un margen significativo para mejorar su eficiencia energética, ahorrar costos operativos y reducir el efecto invernadero.

€ Ver financiación

Información de financiación

The authors would like to thank Conycit through the program Fondecyt through the projects 1130815 and 1141240 for financial support.

Financiadores

Referencias bibliográficas

  • N.N. Abu Bakar, M.Y. Hassan, H. Abdullah, H.A. Rahman, M.P. Abdullah, F. Hussin, M. Bandi, Energy efficiency index as an indicator for measuring building energy performance: A review. Renewable and Sustainable Energy Reviews, 44, (2015) 1–11.
  • D. Anastaselos, S. Oxizidis, A. Manoudis, A.M. Papadopoulos, Environmental performance of energy systems of residential buildings: Toward sustainable communities. Sustainable Cities and Society, 20, (2016) 96-108.
  • N. Aste, P. Caputo, M. Buzzetti, M. Fattore, Energy efficiency in buildings: What drives the investments? the case of Lombardy Region. Sustainable Cities and Society, 20, (2016) 27-37.
  • R.D. Banker, A. Charnes, W.W. Cooper, Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30 (9), (1984) 1078-1092.
  • D.A. Belsley, K. Edwin, E.W. Roy, Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. (1980). New York: John Wiley and Sons.
  • A. Charnes, W.W. Cooper, E. Rhodes, Measuring the efficiency of decision making units. European Journal of Operational Research, 2 (6), (1974) 429-444.
  • S. Chatterjee, J.S. Simonoff, Handbook of Regression Analysis. Wiley handbooks in applied statistics (2012).
  • W. Chung, Y.V. Hui, Y.M. Lam, Benchmarking the energy efficiency of commercial buildings. Applied Energy, 83 (1), (2006) 1-14.
  • W.W. Cooper, L.M. Seiford, K. Tone, Introduction to Data Envelopment Analysis and its uses. Springer. USA (2006).
  • R. Emmanuel, B. Kumar, Y. Roderick, D. McEwan, A universal climate-based energy and thermal expectation index: Initial development and tests. Energy and Buildings, 58, (2013) 208-218.
  • G. Escrivá-Escrivá, Basic actions to improve energy efficiency in commercial buildings in operation. Energy and Buildings, 43, (2011) 3106–3111.
  • S. Ezzeldin, S.J.Rees, The potential for office buildings with mixed-mode ventilation and low energy cooling systems in arid climates. Energy and Buildings, 65, (2013) 368-381.
  • A.B.R. González, J.J.V. Díaz, A.J. Caamaño, M.R. Wilby, Towards a universal energy efficiency index for buildings. Energy and Buildings, 43 (4), (2011) 980-987.
  • V. Granadeiro, J.R. Correia, V.M.S. Leal, J.P. Duarte, Envelope-related energy demand: A design indicator of energy performance for residential buildings in early design stages. Energy and Buildings, 61, (2013) 215-223.
  • A. Guerrini, G., Romano, B., Campedelli, Economies of Scale, Scope, and Density in the Italian Water Sector: A Two-Stage Data Envelopment Analysis Approach. Water Resources Management, 27 (13), (2013), 4559-4578.
  • A. Kavousian, R. Rajagopal, M. Fischer, Ranking appliance energy efficiency in households: Utilizing smart meter data and energy efficiency frontiers to estimate and identify the determinants of appliance energy efficiency in residential buildings. Energy and Buildings, 99, (2015) 220-230.
  • I. Korolija, L. Marjanovic-Halburd, Y. Zhang, V.I. Hanby, Influence of building parameters and HVAC systems coupling on building energy performance. Energy and Buildings, 43 (6), (2011) 1247-1253.
  • W.-S Lee, Benchmarking the energy efficiency of government buildings with data envelopment analysis. Energy and Buildings, 40, (2008) 891-895.
  • W.-S Lee, W.-P. Lee, Benchmarking the performance of building energy management using data envelopment analysis. Applied Thermal Engineering, 29 (16), (2009) 3269-3273.
  • 20. J. Li, Energy performance heterogeneity in China's buildings sector: A data-driven investigation. Renewable and Sustainable Energy Reviews, 58, (2016) 1587-1600.
  • J. Lu, B. Ashuri, M. Shahandashti, A data envelopment analysis model for building energy efficiency benchmarking. Construction Research Congress 2014: Construction in a Global Network Proceedings of the 2014 Construction Research Congress, 1073-1082.
  • R. Pacheco, J. Ordóñez, G. Martínez, Energy efficient design of building: A review. Renewable and Sustainable Energy Reviews, 16 (6), (2012) 3559-3573.
  • L. Pérez-Lombard, J. Ortiz, C. Pout, A review on buildings energy consumption information. Energy and Buildings, 40 (3), (2008) 394-398.
  • L. Pla Ferrando, J.C. Perez Canto, T. Casasus Estelles, Preferencias entre unidades eficientes. Una aplicación de super eficiencia fuzzy basada en niveles de exigencia. Recta, 15 (1), (2014), 25-38.
  • R. Sangi, D. Müller, D. Exergy-based approaches for performance evaluation of building energy systems. Sustainable Cities and Society, 25, (2016) 25-32.
  • J.J. Vinagre Díaz, M.R. Wilby, A.B. Rodríguez González, J. García Muñoz, EEOnt: An ontological model for a unified representation of energy efficiency in buildings. Energy and Buildings, 60, (2013) 20
  • L. Wang, S. Greenberg, J. Fiegel, A. Rubalcava, S. Earni, X. Pang, R. Yin, S. Woodworth, J. Hernandez-Maldonado, Monitoring-based HVAC commissioning of an existing office building for energy efficiency. Applied Energy, 102, (2013)1382–1390.
  • H. White, A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity. Econometrica, 48 (4), (1980) 817–838.
Fuente de los datos: Dialnet