Example of Journal of Building Performance Simulation format
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Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format
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Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format Example of Journal of Building Performance Simulation format
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open access Open Access ISSN: 19401493 e-ISSN: 19401507
recommended Recommended

Journal of Building Performance Simulation — Template for authors

Publisher: Taylor and Francis
Categories Rank Trend in last 3 yrs
Architecture #2 of 138 up up by 1 rank
Building and Construction #22 of 185 down down by 6 ranks
Modeling and Simulation #35 of 290 down down by 8 ranks
Computer Science Applications #143 of 693 down down by 31 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 183 Published Papers | 1071 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 19/07/2020
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Journal Performance & Insights

  • Impact Factor
  • CiteRatio
  • SJR
  • SNIP

Impact factor determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

3.458

11% from 2018

Impact factor for Journal of Building Performance Simulation from 2016 - 2019
Year Value
2019 3.458
2018 3.11
2017 2.603
2016 2.483
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 11% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

5.9

4% from 2019

CiteRatio for Journal of Building Performance Simulation from 2016 - 2020
Year Value
2020 5.9
2019 5.7
2018 4.5
2017 4.8
2016 4.1
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 4% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

0.972

27% from 2019

SJR for Journal of Building Performance Simulation from 2016 - 2020
Year Value
2020 0.972
2019 1.329
2018 1.186
2017 0.957
2016 0.877
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 27% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

1.349

24% from 2019

SNIP for Journal of Building Performance Simulation from 2016 - 2020
Year Value
2020 1.349
2019 1.764
2018 1.125
2017 1.149
2016 1.397
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has decreased by 24% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Related Journals

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CiteRatio: 8.6 | SJR: 0.53 | SNIP: 2.363
open access Open Access e-ISSN: 21943206

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CiteRatio: 3.4 | SJR: 0.291 | SNIP: 0.951
open access Open Access ISSN: 10897798
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CiteRatio: 7.9 | SJR: 0.929 | SNIP: 1.478
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CiteRatio: 3.6 | SJR: 0.455 | SNIP: 1.13
Journal of Building Performance Simulation

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Taylor and Francis

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. The journal also offers a forum for original review ...... Read More

Architecture

Building and Construction

Modelling and Simulation

Computer Science Applications

Engineering

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Last updated on
18 Jul 2020
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ISSN
1940-1493
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Impact Factor
High - 1.287
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Acceptance Rate
Not provided
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Frequency
Not provided
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Open Access
Yes
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Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
Taylor and Francis Custom Citation
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Citation Type
Numbered
[25]
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Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys Rev B. 1982; 25(7):4515–4532. Available from: 10.1103/PhysRevB.25.4515.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1080/19401493.2010.518631
Co-Simulation of Building Energy and Control Systems with the Building Controls Virtual Test Bed
Michael Wetter1

Abstract:

This article describes the implementation of the Building Controls Virtual Test Bed (BCVTB). The BCVTB is a software environment that allows connecting different simulation programs to exchange data during the time integration, and that allows conducting hardware in the loop simulation. The software architecture is a modular ... This article describes the implementation of the Building Controls Virtual Test Bed (BCVTB). The BCVTB is a software environment that allows connecting different simulation programs to exchange data during the time integration, and that allows conducting hardware in the loop simulation. The software architecture is a modular design based on Ptolemy II, a software environment for design and analysis of heterogeneous systems. Ptolemy II provides a graphical model building environment, synchronizes the exchanged data and visualizes the system evolution during run-time. The BCVTB provides additions to Ptolemy II that allow the run-time coupling of different simulation programs for data exchange, including EnergyPlus, MATLAB, Simulink and the Modelica modelling and simulation environment Dymola. The additions also allow executing system commands, such as a script that executes a Radiance simulation. In this article, the software architecture is presented and the mathematical model used to implement the co-simulation is discussed. The simulation program interface that the BCVTB provides is explained. The article concludes by presenting applications in which different state of the art simulation programs are linked for run-time data exchange. This link allows the use of the simulation program that is best suited for the particular problem to model building heat transfer, HVAC system dynamics and control algorithms, and to compute a solution to the coupled problem using co-simulation. read more read less

Topics:

Hardware-in-the-loop simulation (56%)56% related to the paper, Modelica (55%)55% related to the paper, Co-simulation (54%)54% related to the paper, Software architecture (53%)53% related to the paper, Software (52%)52% related to the paper
View PDF
375 Citations
open accessOpen access Journal Article DOI: 10.1080/19401493.2013.765506
Modelica Buildings Library
Michael Wetter1, Wangda Zuo1, Thierry S. Nouidui1, Xiufeng Pang1

Abstract:

This article describes the Buildings library, a free open-source library that is implemented in Modelica, an equation-based object-oriented modelling language. The library supports rapid prototyping, as well as design and operation of building energy and control systems. First, we describe the scope of the library, which cove... This article describes the Buildings library, a free open-source library that is implemented in Modelica, an equation-based object-oriented modelling language. The library supports rapid prototyping, as well as design and operation of building energy and control systems. First, we describe the scope of the library, which covers heating, ventilation and air-conditioning systems, multi-zone heat transfer and multi-zone airflow and contaminant transport. Next, we describe differentiability requirements and address how we implemented them. We describe the class hierarchy that allows implementing component models by extending partial implementations of base models of heat and mass exchangers, and by instantiating basic models for conservation equations and flow resistances. We also describe associated tools for pre- and post-processing, regression tests, co-simulation and real-time data exchange with building automation systems. The article closes with an example of a chilled water plant, with and without wate... read more read less

Topics:

Modelica (63%)63% related to the paper, Building automation (54%)54% related to the paper
View PDF
319 Citations
open accessOpen access Journal Article DOI: 10.1080/19401493.2010.513740
Application of computational fluid dynamics in building performance simulation for the outdoor environment: an overview
Bert Blocken1, Ted Stathopoulos2, Jan Carmeliet3, Jan Hensen1

Abstract:

This article provides an overview of the application of computational fluid dynamics (CFD) in building performance simulation for the outdoor environment, focused on four topics: (1) pedestrian wind environment around buildings, (2) wind-driven rain on building facades, (3) convective heat transfer coefficients at exterior bu... This article provides an overview of the application of computational fluid dynamics (CFD) in building performance simulation for the outdoor environment, focused on four topics: (1) pedestrian wind environment around buildings, (2) wind-driven rain on building facades, (3) convective heat transfer coefficients at exterior building surfaces and (4) air pollutant dispersion around buildings. For each topic, its background, the need for CFD, an overview of some past CFD studies, a discussion about accuracy and some perspectives for practical application are provided. This article indicates that for all four topics, CFD offers considerable advantages compared with wind tunnel modelling or (semi-)empirical formulae because it can provide detailed whole-flow field data under fully controlled conditions and without similarity constraints. The main limitations are the deficiencies of steady Reynolds-averaged Navier–Stokes modelling, the increased complexity and computational expense of large eddy simulation and ... read more read less

Topics:

CFD in buildings (72%)72% related to the paper, Large eddy simulation (52%)52% related to the paper, Computational fluid dynamics (52%)52% related to the paper
View PDF
238 Citations
Journal Article DOI: 10.1080/19401493.2011.558213
The impact of occupants' behaviour on building energy demand
Frédéric Haldi1, Darren Robinson1

Abstract:

Using extensive field survey data acquired over the past 8 years at the Solar Energy and Building Physics Laboratory at EPFL in Switzerland, comprehensive models of occupants' presence, opening and closing of windows and the raising and lowering of blinds have been developed. These new models have been integrated within a new... Using extensive field survey data acquired over the past 8 years at the Solar Energy and Building Physics Laboratory at EPFL in Switzerland, comprehensive models of occupants' presence, opening and closing of windows and the raising and lowering of blinds have been developed. These new models have been integrated within a new urban energy modelling tool, called CitySim. In this article, we describe briefly the structure of CitySim together with the means for representing occupants' presence and behaviour, both deterministic and stochastic. For a hypothetical scenario, we then go on to present results from simulations of the impact that occupants' behaviour may have on the indoor environment in buildings as well as on buildings' energy demands. From this we conclude that occupants' behaviour has a significant impact (of the order of a factor of two) on buildings' energy demands and that individuals' diversity has a yet greater impact. read more read less
211 Citations
Journal Article DOI: 10.1080/19401490903580759
Adaptive actions on shading devices in response to local visual stimuli
Frédéric Haldi1, Darren Robinson1

Abstract:

Based on 6 years of continuous measurements, we have analysed in detail the occupancy, thermal and visual parameters influencing actions on shading devices in order to derive an accurate model for the prediction of their usage in office buildings. This article begins by presenting some of the key findings from these analyses.... Based on 6 years of continuous measurements, we have analysed in detail the occupancy, thermal and visual parameters influencing actions on shading devices in order to derive an accurate model for the prediction of their usage in office buildings. This article begins by presenting some of the key findings from these analyses. Informed by other developments in the literature, we go on to propose an approach for a comprehensive stochastic model for simulating blind usage. This model is based on a Markov process taking rigorously selected predictors (initial blind status, indoor and outdoor illuminance) as input variables to predict lowering and raising actions performed by occupants. A separate sub-model then predicts the chosen shaded fraction. An assessment of the predictive accuracy of simulations is then presented for several modelling variants using our measured data, from which the best performing model variant is selected. read more read less
187 Citations
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Journal of Building Performance Simulation format uses Taylor and Francis Custom Citation citation style.

Automatically format and order your citations and bibliography in a click.

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Frequently asked questions

Absolutely not! With our tool, you can freely write without having to focus on LaTeX. You can write your entire paper as per the Journal of Building Performance Simulation guidelines and autoformat it.

Yes. The template is fully compliant as per the guidelines of this journal. Our experts at SciSpace ensure that. Also, if there's any update in the journal format guidelines, we take care of it and include that in our algorithm.

Sure. We support all the top citation styles like APA style, MLA style, Vancouver style, Harvard style, Chicago style, etc. For example, in case of this journal, when you write your paper and hit autoformat, it will automatically update your article as per the Journal of Building Performance Simulation citation style.

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One little Google search can get you the Word template for any journal. However, why do you need a Word template when you can write your entire manuscript on SciSpace, autoformat it as per Journal of Building Performance Simulation's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

Absolutely! You can do it using our intuitive editor. It's very easy. If you need help, you can always contact our support team.

SciSpace is an online tool for now. We'll soon release a desktop version. You can also request (or upvote) any feature that you think might be helpful for you and the research community in the feature request section once you sign-up with us.

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To be honest, the answer is NO. The impact factor is one of the many elements that determine the quality of a journal. Few of those factors the review board, rejection rates, frequency of inclusion in indexes, Eigenfactor, etc. You must assess all the factors and then take the final call.

SHERPA/RoMEO Database

We have extracted this data from Sherpa Romeo to help our researchers understand the access level of this journal. The following table indicates the level of access a journal has as per Sherpa Romeo Archiving Policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

The 5 most common citation types in order of usage are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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After signing up, you would need to import your existing references from Word or .bib file.

SciSpace would allow download of your references in Journal of Building Performance Simulation Endnote style, according to taylor-and-francis guidelines.

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