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Ten questions concerning co-simulation for performance prediction of advanced building envelopes

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TLDR
In this article, the authors provide a critical overview of the possibilities that co-simulation approaches offer to improve performance assessments of advanced building envelopes, and present current barriers to cosimulation and discusses critical elements to overcome them.
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This article is published in Building and Environment.The article was published on 2021-03-15 and is currently open access. It has received 21 citations till now.

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Bridging the energy performance gap of social housing stock in south-eastern Mediterranean Europe: Climate change and mitigation

TL;DR: In this article , a setup of building energy performance framework was developed according to the in-situ measurements of building-fabric thermal structure to asset robust energy performance evaluation and certification schemes in the residential sector.
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A comprehensive analysis of parametric design approaches for solar integration with buildings: A literature review

TL;DR: In this article , the authors provide a critical overview of the possibilities offered by the parametric design, to increase the sustainability of advanced buildings, by putting a focus on solar energy, and analyze the existing parametric models for solar integration with buildings.
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Optimal Design of Complex Dynamic Shadings: towards Sustainable Built Environment

TL;DR: In this paper , the authors aim to optimize the annual daylighting and energy performance of a complex, dynamic, origami-based shading system based case studies of a typical city building, which is located in the hot summer and cold winter (HSCW) zone in China.
References
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Journal ArticleDOI

EnergyPlus: creating a new-generation building energy simulation program

TL;DR: EnergyPlus as discussed by the authors is a building energy simulation tool that includes a number of innovative simulation features such as variable time steps, user-configurable modular systems that are integrated with a heat and mass balance-based zone simulation, and input and output data structures tailored to facilitate third party module and interface development.
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Contrasting the capabilities of building energy performance simulation programs

TL;DR: In this paper, a comparison of the features and capabilities of twenty major building energy simulation programs is presented, based on information provided by the program developers in the following categories: general modeling features; zone loads; building envelope and daylighting and solar; infiltration, ventilation and multizone airflow; renewable energy systems; electrical systems and equipment; HVAC systems; HVC equipment; environmental emissions; economic evaluation; climate data availability, results reporting; validation; and user interface, links to other programs, and availability.
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Properties, requirements and possibilities of smart windows for dynamic daylight and solar energy control in buildings: A state-of-the-art review

TL;DR: The Robust Envelope Construction Details for Buildings of the 21st Century (ROBUST) project as mentioned in this paper was supported by the Research Council of Norway, AF Gruppen, Glava, Hunton Fiber as, Icopal, Isola, Jackon, maxit, Moelven ByggModul, Ramboll, Skanska, Statsbygg and Takprodusentenes forskningsgruppe through the SINTEF/NTNU research project.
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A review on phase change materials integrated in building walls

TL;DR: In this article, a comprehensive review of the integration of phase change materials in building walls is presented. But, even if the integrated phase change material have a good potential for reducing energy demand, further investigations are needed to really assess their use.
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A review of sensitivity analysis methods in building energy analysis

TL;DR: In this article, the typical steps of implementation of sensitivity analysis in building analysis are described, and a number of practical issues in applying sensitivity analysis are also discussed, such as the determination of input variations, the choice of building energy programs, how to reduce computational time for energy models.
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