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A. Pisello, M. Goretti, F. Cotana (2012)
A method for assessing buildings’ energy efficiency by dynamic simulation and experimental activityApplied Energy, 97
K. Steemers (2003)
Energy and the city: density, buildings and transportEnergy and Buildings, 35
A. Pisello, J. Taylor, Xiaoqi Xu, F. Cotana (2012)
Inter-building effect: Simulating the impact of a network of buildings on the accuracy of building energy performance predictionsBuilding and Environment, 58
G. Ambrosone, S. Catalanotti, M. Matarazzo, L. Vicari (1983)
A dynamic model for the thermal energy management of buildingsApplied Energy, 15
Jiayu Chen, Rishee Jain, J. Taylor (2013)
Block Configuration Modeling: A novel simulation model to emulate building occupant peer networks and their impact on building energy consumptionApplied Energy, 105
Jiang He, A. Hoyano, T. Asawa (2009)
A numerical simulation tool for predicting the impact of outdoor thermal environment on building energy performanceApplied Energy, 86
L. Tronchin, Kristian Fabbri (2008)
Energy performance building evaluation in Mediterranean countries: Comparison between software simulations and operating rating simulationEnergy and Buildings, 40
(2012)
Cotana, “A Method for Assessing Buildings
G. Golany (1996)
Urban design morphology and thermal performanceAtmospheric Environment, 30
R. Memon, D. Leung, Li Chunho (2008)
A review on the generation, determination and mitigation of urban heat island.Journal of environmental sciences, 20 1
D. Crawley, J. Hand, M. Kummert, B. Griffith (2008)
CONTRASTING THE CAPABILITIES OF BUILDING ENERGY PERFORMANCE SIMULATION PROGRAMSBuilding and Environment, 43
C. Ratti, Dana Raydan, K. Steemers (2003)
Building form and environmental performance: archetypes, analysis and an arid climateEnergy and Buildings, 35
Modeling Building Energy Use at Urban Scale," paper presented at 7th International IBPSA Conference Rio de Janeiro, Brazil
I. Capeluto, E. Shaviv (2001)
On the use of ‘solar volume’ for determining the urban fabricSolar Energy, 70
A. Rosenfeld, H. Akbari, S. Bretz, B. Fishman, D. Kurn, D. Sailor, H. Taha (1995)
Mitigation of urban heat islands: materials, utility programs, updatesEnergy and Buildings, 22
A. Pisello, F. Cotana (2014)
The thermal effect of an innovative cool roof on residential buildings in Italy: Results from two years of continuous monitoringEnergy and Buildings, 69
(2007)
Building Components and Building Elements -Thermal Resistance and Thermal Transmittance, Calculation method
Xiaoqi Xu, J. Taylor, A. Pisello (2014)
Network synergy effect: Establishing a synergy between building network and peer network energy conservation effectsEnergy and Buildings, 68
Kathleen Sablone (1995)
A Spark in the Battle Between Smokers and Nonsmokers: Johannesen v New York City Department of Housing Preservation & DevelopmentBoston College Law Review, 36
Ahmed Rizwan, Leung Dennis, Chun-Ho Liu (2008)
A review on the generation, determination and mitigation of Urban Heat IslandJournal of Environmental Sciences-china, 20
(2011)
Generation of a Typical Meteorological Year for Port Harcourt Zone
A. Pisello, V. Castaldo, J. Taylor, F. Cotana (2014)
Expanding Inter-Building Effect modeling to examine primary energy for lightingEnergy and Buildings, 76
U. Berardi (2012)
Sustainability Assessment in the Construction Sector: Rating Systems and Rated BuildingsSustainable Development, 20
D. Crawley, L. Lawrie, F. Winkelmann, W. Buhl, Y.Joe Huang, C. Pedersen, R. Strand, R. Liesen, D. Fisher, M. Witte, J. Glazer (2001)
EnergyPlus: creating a new-generation building energy simulation programEnergy and Buildings, 33
K. Dalamagkidis, D. Kolokotsa (2008)
Reinforcement Learning for Building Environmental Control
J. Voogt (2000)
Urban Heat Island, 3
(1996)
Urban Morphology and Thermal Performance, 30
H. Akbari, S. Bretz, D. Kurn, J. Hanford (1997)
Peak power and cooling energy savings of high-albedo roofsEnergy and Buildings, 25
S. Hassid, M. Santamouris, N. Papanikolaou, A. Linardi, N. Klitsikas, C. Georgakis, D. Assimakopoulos (2000)
The effect of the Athens heat island on air conditioning loadEnergy and Buildings, 32
L. Pérez-Lombard, José Ortiz, C. Pout (2008)
A review on buildings energy consumption informationEnergy and Buildings, 40
F. Rossi, A. Pisello, A. Nicolini, M. Filipponi, Massimo Palombo (2014)
Analysis of retro-reflective surfaces for urban heat island mitigation: A new analytical modelApplied Energy, 114
P. Heiselberg, H. Brohus, Allan Hesselholt, H. Rasmussen, E. Seinre, Sara Thomas (2009)
Application of sensitivity analysis in design of sustainable buildingsRenewable Energy, 34
AbstractThe reduction of the energy use of buildings at the urban scale represents a key research and design topic with the purpose of developing specific methods for saving energy in buildings. These methods are often focused on the analysis of building thermal-energy behavior by considering the building as a stand-alone object. In this perspective, the thermal-energy behavior of two buildings in New York City is evaluated in this paper with varying urban contexts, in order to evaluate the Inter-Building Effect (IBE). The IBE analysis shows that the inaccuracy in neglecting the urban context in building modeling varies from 9.6 percent, to 71.9 percent. These results confirm that, in order to make accurate predictions about building thermal-energy performance in real urban contexts through dynamic simulation, the interaction between the building and the urban surrounding should be taken into account, in particular in dense urban areas.
Journal of Urban Technology – Taylor & Francis
Published: Jan 2, 2014
Keywords: inter-building effect; urban context; building thermal-energy dynamic simulation; building energy performance; mutual shading
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