Cover Image

Integrated Urban System and Energy Consumption Model: Residential Buildings

Rocco Papa, Carmela Gargiulo, Gerardo Carpentieri


This paper describes a segment of research conducted within the project PON 04a2_E Smart Energy Master for the energetic government of the territory conducted by the Department of Civil, Architectural and Environment Engineering, University of Naples "Federico II".  In particular, this article is part of the study carried out for the definition of the comprehension/interpretation model that correlates buildings, city’s activities and users’ behaviour in order to promote energy savings. In detail, this segment of the research wants to define the residential variables to be used in the model. For this purpose a knowledge framework at international level has been defined, to estimate the energy requirements of residential buildings and the identification of a set of parameters, whose variation has a significant influence on the energy consumption of residential buildings.


Residential building energy model; Residential energy consumption

Full Text:



Abrahamse, W., & Steg, L. (2009). How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings?. Journal of economic psychology, 30(5), 711-720.

Anderson, B., Chapman, P., Cutland, N., Dickson, C., Doran, S., Henderson, G., Henderson, J., Iles, P., Kosmina, L. and Shorrock, L. (2002) BREDEM-8: model description 2001 update. Building Research Establishment, UK

Aydinalp, M., Ismet Ugursal, V., & Fung, A. S. (2002). Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks. Applied Energy, 71(2), 87-110.

Brounen, D., Kok, N., & Quigley, J. M. (2012). Residential energy use and conservation: economics and demographics. European Economic Review, 56(5), 931-945.

Balaras, C. A., Gaglia, A. G., Georgopoulou, E., Mirasgedis, S., Sarafidis, Y., & Lalas, D. P. (2007). European residential buildings and empirical assessment of the Hellenic building stock, energy consumption, emissions and potential energy savings. Building and Environment, 42(3), 1298-1314.

Corrado, V., Tala, N., Ballarini, I., & Corgnati, S. P. (2011). Building Typology Brochure-Italy. Fascicolo sulla Tipologia Edilizia Italiana.

Farahbakhsh, H., Ugursal, V. I., & Fung, A. S. (1998). A residential end‐use energy consumption model for Canada. International Journal of Energy Research, 22(13), 1133-1143.

Huang, Y. J., & Brodrick, J. (2000). A bottom-up engineering estimate of the aggregate heating and cooling loads of the entire US building stock.

Hens, H., Verbeeck, G., & Verdonck, B. (2001). Impact of energy efficiency measures on the CO< sub> 2 emissions in the residential sector, a large scale analysis. Energy and Buildings, 33(3), 275-281.

Kavousian, A., Rajagopal, R., & Fischer, M. (2012). A Method to Analyze Large Data Sets of Residential Electricity Consumption to Inform Data-Driven Energy Efficiency. CIFE Working Paper 130, Stanford University.

Kavgic, M., Mavrogianni, A., Mumovic, D., Summerfield, A., Stevanovic, Z., & Djurovic-Petrovic, M. (2010). A review of bottom-up building stock models for energy consumption in the residential sector. Building and Environment, 45(7), 1683-1697.

Liao, H. C., & Chang, T. F. (2002). Space-heating and water-heating energy demands of the aged in the US. Energy Economics, 24(3), 267-284.

McNeil, M. A., & Bojda, N. (2012). Cost-effectiveness of high-efficiency appliances in the US residential sector: A case study. Energy Policy, 45, 33-42.

Mutani, G. (2013). Analisi del fabbisogno di energia termica degli edifici con software geografico libero. Il caso studio di Torino. LA TERMOTECNICA, 6, 63-67.

Ouyang, J., & Hokao, K. (2009). Energy-saving potential by improving occupants’ behavior in urban residential sector in Hangzhou City, China. Energy and Buildings, 41(7), 711-720.

Simpson, J. R. (2002). Improved estimates of tree-shade effects on residential energy use. Energy and Buildings, 34(10), 1067-1076.

Swan, L. G., & Ugursal, V. I. (2009). Modeling of end-use energy consumption in the residential sector: A review of modeling techniques. Renewable and Sustainable Energy Reviews, 13(8), 1819-1835.

Yohanis, Y. G., Mondol, J. D., Wright, A., & Norton, B. (2008). Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use. Energy and Buildings, 40(6), 1053-1059.

Zhao, F. (2012). Agent-based modeling of commercial building stocks for energy policy and demand response analysis.



Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
This site uses cookies to help deliver services. By using this site, you agree to the use of cookies.
More info.

Direttore responsabile: Rocco Papa | print ISSN 1970-9889 | on line ISSN 1970-9870 | © 2008 | Registrazione: Cancelleria del Tribunale di Napoli, n° 6, 29/01/2008 | Rivista realizzata con Open Journal System e pubblicata dal Centro di Ateneo per le Biblioteche dell'Università di Napoli Federico II.