Building simulation: Ten challenges

Hong, Tianzhen; Langevin, Jared; Sun, Kaiyu

doi:10.1007/s12273-018-0444-x

Cited by 137 publications

(59 citation statements)

References 160 publications

(143 reference statements)

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“…Calibration can significantly improve the validity of and confidence in energy models, while being used to compare the cost-effectiveness of energy conservation measures (ECMs) in the design stage. Building energy simulation models are considered "calibrated" if they meet the internationally accepted criteria defined by ASHRAE Guideline 14 [68,69]. The actual heating energy use of the reference building for 5 months (November to March) was measured to calibrate the building energy model in this study.…”

Section: Energy Consumption Status At the Reference Buildingmentioning

confidence: 99%

The Economic Feasibility of Passive Houses in Korea

2018

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The number of passive houses and zero-energy buildings being developed is increasing, as measures to reduce the rapidly increasing building energy consumption. While government building policies focus on energy savings, investors and the building market emphasize the initial investment cost. These conflicting perspectives obstruct the development of passive houses in the building market. In this study, a series of building energy analyses, including the effect of energy saving measures and economic information considering long-term economic benefit and incentives policy, will be presented. Analyses were performed on the energy-saving measures needed to improve the performance of single-family houses in Korea to that of the passive house standard, as well as the energy saving effect and increased cost. The application of energy saving measures for passive house implementation resulted in an additional cost of 1.85%–4.20% compared to the conventional reference house. In addition, the proposed passive house alternative shows a short payback period and life cycle cost (LCC) result, compared to a conventional building’s life cycle period. The possibility of passive house implementation is high, and developing the passive house is affordable for the investor or end user in Korea.

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Section: Energy Consumption Status At the Reference Buildingmentioning

confidence: 99%

The Economic Feasibility of Passive Houses in Korea

2018

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“…The physical phenomena of coupled heat and moisture transfer have been studied in depth from the 1950s [6]. Since then, there is no consensus on the numerical strategies to solve such class of nonlinear parabolic problems [7][8][9][10][11][12][13][14][15]. On one hand, the traditional explicit methods are simple and accurate to implement.…”

Section: Conclusion 1 Introductionmentioning

confidence: 99%

Critical assessment of efficient numerical methods for a long-term simulation of heat and moisture transfer in porous materials

Abdykarim

Berger

Dutykh

et al. 2019

International Journal of Thermal Sciences

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The issue to predict the behavior of building materials during wide horizons of time is still challenging. Experimental setups , since they require to perform tests for several years, are costly, never at the full scale and inconvenient. Building Performance Simulation (BPS) programs are designed to perform predictions on computational machines and cut experimental costs significantly. Nonetheless, in the recent review of state-of-the-art, it was indicated that despite the wide range of programs, there are still some drawbacks in terms of the accuracy and the high computational cost. This paper investigates the application of an innovative numerical method, called Super-Time-Stepping (STS) method. It allows performing accurate simulations with time-steps much larger than with standard explicit approaches. These "super" time-steps also enable us to reduce the computational cost. In addition to that, the design of the method allows easier application for models in higher dimensions and with nonlinear parameters. The efficiency of the method is tested on linear and nonlinear academic cases. Further study for the reliability of the model is performed on an experimental case study. The experiment has been carried out on a rammed earth wall during almost 14 months. Obtained data is presented in this article and implemented into proposed model. As a result of the case studies, it is shown that in comparison to the EULER explicit method, the STS methods can cut costs by more than five times while maintaining high accuracy and efficiency. A very fine analysis of the physical phenomena is also performed.

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“…Building energy modeling has been widely used to inform building energy efficient design, demonstrate code compliance, gain credits towards performance ratings, assess retrofit options, and optimize operations (Hong, Langevin and Sun, 2018). ASHRAE Standard 209 defines typical applications of building energy modeling across the building life cycle.…”

Section: Introductionmentioning

confidence: 99%

Ten questions on urban building energy modeling

Hong

Chen

Luo

et al. 2020

Building and Environment

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260

121

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Buildings in cities consume up to 70% of all primary energy. To achieve cities' energy and climate goals, it is necessary to reduce energy use and associated greenhouse gas emissions in buildings through energy conservation and efficiency improvements. Computational tools empowered with rich urban datasets can model performance of buildings at the urban scale to provide quantitative insights for stakeholders and inform their decision making on urban energy planning, as well as building energy retrofits at scale, to achieve efficiency, sustainability, and resilience of urban buildings. Designing and operating urban buildings as a group (from a city block to a district to an entire city) rather than as single individuals requires simulation and optimization to account for interactions among buildings and between buildings and their surrounding urban environment, and for district energy systems serving multiple buildings with diverse thermal loads across space and time. When hundreds or more buildings are involved in typical urban building energy modeling (UBEM) to estimate annual energy demand, evaluate design or retrofit options, and quantify impacts of extreme weather events or climate change, it is crucial to integrate urban datasets and UBEM tools in a seamless automatic workflow with cloud or high-performance computing for users including urban planners, designers and researchers. This paper presents ten questions that highlight significant UBEM research and applications. The proposed answers aim to stimulate discussion and provide insights into the current and future research on UBEM, and more importantly, to inspire new and important questions from young researchers in the field.

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Building simulation: Ten challenges

Cited by 137 publications

References 160 publications

The Economic Feasibility of Passive Houses in Korea

The Economic Feasibility of Passive Houses in Korea

Critical assessment of efficient numerical methods for a long-term simulation of heat and moisture transfer in porous materials

Ten questions on urban building energy modeling

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