A multidimensional model for green building assessment: A case study of a highest-rated project in Chongqing

Li, Yongqiang; Yu, Wei; Li, Baizhan; Yao, Runming

doi:10.1016/j.enbuild.2016.04.055

Cited by 33 publications

(17 citation statements)

References 41 publications

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“…As discussed before, to depict the applications of the developed PHSHR model, the following sections explored how the body's physiological indices correlated to human heat stress change when the input parameters change. Here we referred to our previous on-site survey [62] and took the measured data of a typical working scenario in the field survey as the initial input parameters (see Table 7) to discuss the single and coupled effect of some factors in Eq. (19) on human heat stress.…”

Section: Application Of the New Modelmentioning

confidence: 99%

A ‘heart rate’-based model (PHSHR) for predicting personal heat stress in dynamic working environments

Yao

et al. 2018

Building and Environment

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The parameter of human body metabolic rates has been popularly used for the prediction of human heat stress in hot environments. However, most modules use the fixed and estimated metabolic heat production. The aim of this study is to develop the prediction of personal heat stress in dynamic working environments. Based on the framework of the predicted heat stress (PHS) model in ISO 7933, a heart-rate based PHSHR model has been developed using the time-based heart rate index, which is suitable for prediction in situations where metabolic rates are dynamic and there are inter-individual variations. The infinitesimal time unit Δti, has been introduced into the new PHSHR model and all the terms used in the PHS model related to metabolic rates are thus redefined as the function of real-time heart rates. The PHSHR has been validated under 8 experimental combined temperature-humidity conditions in a well-controlled climate chamber. The feature of the PHSHR model is being able to calculate dynamic changes in body metabolism with exposure time. It will be useful to the identification of potential risks of individual workers so to establish an occupational working environment health and safety protection mechanism by means of simultaneous monitoring of workers' heart rates at the personal levels, using advanced sensor technology.

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Section: Application Of the New Modelmentioning

confidence: 99%

A ‘heart rate’-based model (PHSHR) for predicting personal heat stress in dynamic working environments

Yao

et al. 2018

Building and Environment

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“…e challenges need robust methods to tackle the complexity of green construction management and environmental treatments which involve better energy efficiency, improved environmental quality, and the minimization of resource usage in construction phase [1,7,8]. On the other hand, the inaccurate assessment of the green construction is a major obstacle to overcome [9,10].…”

Section: Introductionmentioning

confidence: 99%

Study on the Evaluation Method of Green Construction Based on Ontology and BIM

Wang

Zhou

et al. 2019

Advances in Civil Engineering

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Many problems and issues affect the green construction process. Inaccurate assessment is one of the important factors for green construction. The objective of this study is to propose a BIM and ontology-based approach that enables the evaluation information of green construction to be inferred from a knowledge base in order to achieve scheme optimization. To automate the inference, this study established the BIM ontology that consists of BIM shared ontology and BIM construction ontology. First, IFC extension is adopted in green construction assessment system to generate attribute sets. IFC-based parameters stored in BIM models are mapped to OWL and will be used as the data source of the evaluation indicators. Then, BIM-shared ontology and BIM construction ontology are defined. Protégé is employed to simulate the evaluation indicator system. Last, utilizing BIM knowledge base, through the construction of SWRL rule language and the Drools inference, the scores of evaluation indicators could be obtained. The experimental results demonstrated that BIM knowledge base for the evaluation of green construction could realize the sharing, maintenance, and acquisition of knowledge among different participants of the project and improve the management of green construction. The proposed ontological inference of evaluation item enables an automated search of the aspects needing improvements in green construction and assist project managers in using BIM data more easily and effectively.

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“…Therefore, green building has become an unavoidable trend in the industry, which has greatly affected the environment for social development, the economy and a series of industries. [10]. As stated by United States Environmental Protection Agency [11], a green building can be defined as the process from selection of site to design, building, operating, maintaining, refurbishing and deconstructing, generating structures, and implement environmentally responsible and resource efficient processes throughout the lifecycle of the buildings.…”

Section: Introductionmentioning

confidence: 99%

A Critical Research of Green Building Assessment Systems in Malaysia Context

2019

IJITEE

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Excessive development has led to main changes in world civilization, including the societal, natural environment, and economical. Construction industry is significant contributor towards numerous environmental effects. Therefore, the concept of implementation “green” has been concern. Green building has become a flagship for sustainable development that responsible for balancing long-term environmental, social health and social economic. Green building assessment systems have been introduced to evaluate the sustainability level of the green buildings such as GBI, PH JKR, GreenRE and MyCREST. Although green building assessment have been the study of many researchers over the past twenty years, it is still no systematic assessment of the detailed criteria for each assessment systems. Therefore, this research aimed to conduct critical review of green building assessment systems in Malaysia. This research is conducted through comparison analysis where the points allocated for each criteria is being measured and compared. It founds that energy efficiency criteria is the most widely used in green building assessment systems followed by water efficiency and innovations. This research showed that each green building assessment systems showed different culture and they used different criteria in evaluating the sustainability level of the green building projects. The outcomes of this research is expected to create awareness among construction industry players or decision makers to understand better and have a different perspective toward current green building assessment systems.

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A multidimensional model for green building assessment: A case study of a highest-rated project in Chongqing

Cited by 33 publications

References 41 publications

A ‘heart rate’-based model (PHSHR) for predicting personal heat stress in dynamic working environments

A ‘heart rate’-based model (PHSHR) for predicting personal heat stress in dynamic working environments

Study on the Evaluation Method of Green Construction Based on Ontology and BIM

A Critical Research of Green Building Assessment Systems in Malaysia Context

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