Optimization of Office Building Fa&amp;#231;ades in a Warm Summer Continental Climate

Hani, Allan; Koiv, Teet-Andrus

doi:10.4236/sgre.2012.33031

Cited by 8 publications

(2 citation statements)

References 23 publications

(22 reference statements)

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“…and an optimization program (e.g., GenOpt), which employs optimization algorithms [45][46][47]. Simulation-based optimization has recently been used for various applications in building simulation [48][49][50], and also for the calibration of building models [43,51]. In order to perform the optimization, an objective function has to be set within the optimization program.…”

Section: Optimization-based Methodsmentioning

confidence: 99%

Methodologies and Advancements in the Calibration of Building Energy Models

2015

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Buildings do not usually perform during operation as well as predicted during the design stage. Disagreement between simulated and metered energy consumption represents a common issue in building simulation. For this reason, the calibration of building simulation models is of growing interest. Sensitivity and uncertainty analyses play an important role in building model accuracy. They can be used to identify the building model parameters most influent on the energy consumption. Given this, these analyses should be integrated within calibration methodologies and applications for tuning the parameters. This paper aims at providing a picture of the state of the art of calibration methodologies in the domain of building energy performance assessment. First, the most common methodologies for calibration are presented, emphasizing criticalities and gaps that can be faced. In particular the main issues to be addressed, when carrying out calibrated simulation, are discussed. The standard statistical criteria for considering the building models calibrated and for evaluating their goodness-of-fit are also presented. Second, the commonly used techniques for investigating uncertainties in building models are reviewed. Third, a review of the latest main studies in the calibrated simulation domain is presented. Criticalities and recommendations for new studies are finally provided. OPEN ACCESSEnergies 2015, 8 2549

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Section: Optimization-based Methodsmentioning

confidence: 99%

Methodologies and Advancements in the Calibration of Building Energy Models

2015

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“…A. Hani and T.A. Koiv [68] used a hybrid multidimensional optimization algorithm (GPSPSOCCHJ) in the optimization calculation of a modern office building. Quick selection maps of different elevation design schemes and annual total unit energy consumption were compiled.…”

Section: Envelopesmentioning

confidence: 99%

A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges

Liu

Peng

2020

Sustainability

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As most countries have widespread and growing concerns about the sustainable development of society, the requirement to continuously reduce energy consumption poses challenges for the architecture, engineering and construction (AEC) industry. Performance-oriented architectural design and optimization, as a novel design philosophy and comprehensive evolution technology, has been accepted by architects, engineers, and stakeholders for a period of time. Performance in the context of architecture is a widely discussed definition that has long shown a correlation with visual and cultural attributes. Shifting the paradigm of sustainable development while ensuring that the function and aesthetics of the building are not overlooked has been the focus of public attention. Considering the core design elements that affect energy conservation and style performance, the design and optimization of building envelopes, form, and shading systems were selected as research materials. From the perspective of epistemology and methodology, a systematic review of 99 papers was conducted to promulgate the latest development status of energy-efficiency design. This paper manifests a detailed analysis of the design patterns, research features, optimization objectives, and techniques of current approaches. The review found that performance-oriented design optimization can benefit the entire industry from the heuristic knowledge base and the expansion of the design space while maintaining sustainability. In contrast, challenges such as tools, skills, collaboration frameworks, and calibration models are highlighted.

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