建筑模拟：国际期刊发表原创、高质量、同行评议的研究论文和评论文章，涉及建筑及其系统的建模和模拟。目标是将建筑科学和技术领域提升到这样一个水平，即建模最终将作为常规而不是例外用于建筑施工的各个方面。特别感兴趣的是反映建模工具的最新发展和应用及其对建筑科学和技术进步的影响的论文。

Building Simulation is an international journal dedicated to publishing original, high-quality, peer-reviewed research papers and review articles that focus on the modeling and simulation of buildings and their systems. The aim is to elevate the field of building science and technology to a level where modeling becomes a routine practice in all aspects of building construction, rather than an exception. We are particularly interested in papers that reflect the latest developments and applications of modeling tools and their impact on advancements in building science and technology.

《Building Simulation》是一本国际期刊，专注于发表原创、高质量、经过同行评审的研究论文和评论文章，内容涵盖建筑及其系统的建模与模拟。期刊的目标是推动建筑科学与技术的发展，使建模成为建筑施工各个方面的常规实践，而非例外。我们特别欢迎反映建模工具最新发展及其在建筑科学与技术进步中应用的研究论文。

Building Simulation

Abstract Enclosed parking garages require mechanical ventilation fans to dilute concentrations of pollutants emitted from vehicles, which contributes to energy use and peak electricity demand. This study develops and applies a simulation framework combining multi-zone airflow and contaminant transport modeling, fan affinity laws, and realistic assumptions for vehicle traffic patterns and carbon monoxide (CO) emissions to improve our ability to predict the impacts of various ventilation control strategies on indoor air quality and fan energy use in parking garages. The simulation approach is validated using measured data from a parking garage case study and then applied to investigate fan energy use, peak power demand, and resulting CO concentrations for four different ventilation control strategies in a model underground parking garage under a variety of assumptions for model inputs. The four ventilation control strategies evaluated include one simplistic schedule (i.e., Always-On) and three demand-based strategies in which fan speed is a function of CO concentrations in the spaces, including Linear-Demand Control Ventilation (DCV), Standardized Variable Flow (SVF), and a simple On-Off strategy. The estimated annual average fan energy consumption was consistently lowest with the Linear-DCV strategy, resulting in average (± standard deviation) energy savings across all modeled scenarios of 843%±0.4%, 72.8%±3.6%, and 97.9%±0.1% compared to SVF, On-Off, and Always-On strategies, respectively. The utility of the framework described herein is that it can be used to model energy and indoor air quality impacts of other parking garage configurations and control scenarios.

Afshin Faramarzi

Jongki Lee

Brent Stephens

Mohammad Heidarinejad

Assessing ventilation control strategies in underground parking garages

评估地下停车场的通风控制策略

Yue Yuan

Chengcheng Song

Liying Gao

Kejun Zeng

Yixing Chen

A review of current research on occupant-centric control for improving comfort and energy efficiency

以住户为中心的控制技术研究现状综述：提升舒适度与能效

Haoxin Dong

Chuanbo Xu

Wenjun Chen

Build. Simul.

Modeling and configuration optimization of the rooftop photovoltaic with electric-hydrogen-thermal hybrid storage system for zero-energy buildings: Consider a cumulative seasonal effect

Chang Sung Kim

Kyung Wook Seo

Integrated daylighting simulation into the architectural design process for museums

将日光模拟整合到博物馆建筑设计过程中

Qixu Xie

Li Zhang

Entropy-based guidance and predictive modelling of pedestrians’ visual attention in urban environment

基于熵的城市环境中行人视觉注意力的引导与预测建模

Tianzhen Hong

Sang Hoon Lee

Wanni Zhang

Han Li

Kaiyu Sun

Joshua Kace

Informing electrification strategies of residential neighborhoods with urban building energy modeling

利用城市建筑能源建模为住宅区电气化策略提供信息

Qi Yang

Rohit K. Dubey

Saleh Kalantari

PATH-U: A data-driven agent-based wayfinding model incorporating perceived path uncertainty and cognitive strategies in unfamiliar indoor environments

PATH-U：一种结合感知路径不确定性和认知策略的基于数据驱动的智能体寻路模型，用于不熟悉的室内环境

Zhanwei Wang

Penghua Xia

Jingjing Guo

Sai Zhou

Lin Wang

Yu Wang

Chunxiao Zhang

Efficient feature selection for enhanced chiller fault diagnosis: A multi-source ranking information-driven ensemble approach

高效特征选择以增强冷水机组故障诊断：一种多源排序信息驱动的集成方法

Youchen Ning

Zhixian Tang

Ronghui Qi

Forced convection effects on desiccant evaporation and energy consumption assessment in liquid desiccant dehumidification systems

液体吸湿除湿系统中吸湿剂蒸发与能耗评估的强制对流效应

Abstract Under the emerging trend of the new power systems, enhancing the energy flexibility of air conditioning loads to promote electricity demand response is crucial for regulating the real-time balance. As a typical temperature-controlled loads, air conditioning loads can generate rebound effect when participating in demand response, resulting in sudden load increases and posing risks to grid security. However, the existing research mainly focuses on the energy flexibility, which leads to an imperfect demand response mechanism and thus affects the optimal scheduling strategy. Therefore, the study proposes a comprehensive quantification method in view of rebound effect for the demand response performance of air conditioning loads, by using probability distribution, Latin hypercube sampling, Monte Carlo simulation, and scenario analysis methods. The demand response event was divided into response phase and recovery phase, and by considering energy flexibility during the response phase and rebound effect during the recovery phase, three dimensionless evaluation indexes for comprehensive demand response performance were constructed. Using this quantification method, the impact patterns of three types of random variables were compared, including meteorological, design variables, and control variables. Additionally, considering the differences in building types (office and hotel buildings) and building capacities (small, medium, and large), the effectiveness of air conditioning load participation in demand response measures in different building application scenarios was explored. The results show that the influence of the design variables on the response performance is less than that of the control variables, but significant, reaching 45% compared to the control variables. Moreover, the influence varies with building type, capacity and climate zone, and building demand response design has more potential in the following scenarios: the cold climate, the hot summer and cold winter climate, the medium building and the hotel building.

Ran Wang

Xiaoyue Xin

Jiatao Liu

Shilei Lu

Yongjun Sun

Wenduan Zhao

Quantitative method and influencing factors analysis of demand response performance of air conditioning load with rebound effect

空调负荷需求响应性能的定量方法及回弹效应影响因素分析

Abbreviation	Build. Simul.
Journal Impact	6.02
Quartiles(Global)	THERMODYNAMICS(Q1)

ISSN	1996-3599, 1996-8744
h-index	49

Publication Information	Publisher: Tsinghua University，Publishing cycle: 12 issues per year，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2008，Proportion of original research papers: 94.25%，Self Citation Rate:18.00%， Gold OA Rate: 9.88%
Average review cycle	网友分享经验：>12周，或约稿
Average recruitment ratio	网友分享经验：容易

Building Simulation

Journal Citation Format

A journal article with 1 author

A journal article with 2 authors

A journal article with 3 authors

A journal article with 5 or more authors

Books Citation Format

Thesis Citation Format

Web sites Citation Format

Patent Citation Format

Staying up late manually editing references? ivySCI automatically matches journals and helps you generate references with a single click.

Share Submission Experience