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Journal of Building Performance Simulation

Call for Papers | Urban Modelling | Deadline: September 30, 2020

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Journal of Building Performance Simulation

The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit.

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Important dates
Submission deadline of full papers: September 30th, 2020
Completion of the first-round review: November 30th, 2020
Submission deadline of revised papers: December 31st, 2020
Final notification: January 31st, 2021
Issue published: February 28th, 2021

Dear Colleague,

There is growing interest in the scientific and professional community worldwide to extend building performance simulation to address the urban scale. This is of relevance not only to scientists and practitioners, but also to decision makers in the public and private sectors. Bottom-up upscaling simulation, from single buildings to multiple buildings, has a number of advantages. It can capture, in detail, the physical behavior of buildings, their mutual influences, and their impact on the urban environment. More generally, it can include the network of services that support the human activities in the cities. This is highly relevant when defining actions and policies addressing sustainable and efficient management and improvement of civic services. Policy makers, public authorities and utilities, urban planners, local communities and consortia are among those interested in performance evaluation of the built environment at the urban scale.

A bottom-up urban simulation approach that builds upon the physical descriptions of individual buildings facilitates a detailed analysis of their contributions. This, unlike typical top-down and data-driven urban modeling approaches, does not require historical data, except for the calibration and validation of the urban model. Nevertheless, the method requires some degrees of simplification to limit the computational effort, some support to facilitate input data entry, and some specific algorithms to represent the interactions of buildings with the external and internal boundary conditions.

Topics of interest

Contributions of interest for this call will focus on the open challenges in the use of bottom-up urban simulation approaches. In particular, they shall deal with one or more of the following aspects:

Data input and representation

  • Interface with and integration of existing databases and tools to support the collation of input data
  • Methods of definition of the representative input values
  • Calibration to refine the input parameters

Modelling

  • External boundary conditions (weather data, urban climate, buildings mutual interactions, etc.)
  • Internal boundary conditions (internal gains, occupancy profiles, behavioral models, etc.)
  • Building modelling (simplification of the description – representative buildings, zoning, shoeboxing, etc. – simplification of the algorithms, and special techniques to restore representativeness and variability)
  • Hybridization with top-down or of data-driven approaches to optimize data input and modelling
  • Applications areas, developing models for different domains (energy, services, environmental impact) and scales.

Submission Guidelines

 

Only original manuscripts can be submitted, according to the ‘Guide for Authors’ published on the JBPS website https://mc.manuscriptcentral.com/tbps. As regards the online submission system of JBPS, the authors are invited to follow the link “Submit your Paper”, located in the main page of the Journal website.

Please mention the name of the Special Issue in your cover letter. All manuscripts will be peer-reviewed in accordance with the established policies and procedures of the journal. The final papers will be selected for publication depending on the results of the peer review process and the reviews of the Guest Editors.

Guest editors

 

Professor Andrea Gasparella,  Free University of Bozen-Bolzano, Italy

Prof. DI Dr. Ardeshir Mahdavi,  Technische Universität Wien, Austria