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RESEARCH PRODUCT

Results of a literature review on methods for estimating buildings energy demand at district level

Simone FerrariPaola CaputoA. D'amicoFederica Zagarella

subject

Distributed energy systemComputer scienceUrban energy profiles estimation methodsBuildings hourly energy consumption020209 energyDistributed energy systems02 engineering and technologyScientific literatureBuildings hourly energy consumptionsIndustrial and Manufacturing EngineeringTask (project management)Urban energy profiles estimation methodTransport engineeringSet (abstract data type)Buildings hourly energy consumptions; Distributed energy systems; Urban district energy demand estimation; Urban district energy planning; Urban energy profiles estimation methods; Civil and Structural Engineering; Building and Construction; Pollution; Mechanical Engineering; Industrial and Manufacturing Engineering; Electrical and Electronic Engineering020401 chemical engineering0202 electrical engineering electronic engineering information engineering0204 chemical engineeringElectrical and Electronic EngineeringCivil and Structural EngineeringUrban district energy planningSettore ING-IND/11 - Fisica Tecnica AmbientaleEnergy demandbusiness.industryMechanical EngineeringBuilding and ConstructionEnergy planningPollutionGeneral EnergyDistributed generationUrban district energy demand estimationbusinessEnergy (signal processing)Level of detail

description

Abstract In the framework of distributed energy planning, evaluating reliable energy profiles of different sectors has a prominent role. At the same time, it is a quite challenging task, since the availability of actual energy profiles of buildings at the district level is not widespread. A survey of over 70 studies in scientific literature has been accomplished and a set of criteria has been defined for classifying the selected contributions based on the energy demand data features, source and/or estimation methods, highlighting the ones adopting hourly energy profiles. As final results, tables summarizing the main methods characteristics and a selection of studies providing directly useable energy profiles are reported. Therefore, this study could be useful for stakeholders involved in energy simulations of buildings stocks and community energy planning in assessing the buildings energy demand, with different desired level of detail and available data. The research, broadly, demonstrates that the potential replicability of analysed methods is constrained to the datasets availability and, particularly, highlights the need of reliable hourly energy profiles definition for developing accurate energy scenarios.

10.1016/j.energy.2019.03.172http://hdl.handle.net/11311/1084724