scholarly journals A study of key players in developing low carbon buildings/communities in Canada: a case study in Ontario

2021 ◽  
Author(s):  
Christine Chow
Keyword(s):  
Construction Industry ◽  
Carbon Emission ◽  
Low Carbon ◽  
Developed Country ◽  
Ongoing Research ◽  
Research Activities ◽  
Key Players ◽  
Technical Factors ◽  
Low Carbon Emission

Architects, engineers, developers, contractors, building facility managers, and relevant governmental officers are the key players in developing and managing low-carbon buildings and communities, whose decisions and actions largely determine the level of carbon emission from them. This study is intended to investigate how these key players perform in current practices and to identify any areas for improvement. This paper presents a case study conducted in Ontario, Canada's province that can best represent the leading development industry within a developed country. A significant number of key players were surveyed through questionnaires and interviews. Key findings include: (1) Although low-carbon emission is a target for the Ontario construction industry, design considerations are still highly dependent on financial limitations and more attention is required towards technical factors and (2) knowledge, skills and tools are not sufficient to support improvements to low-carbon design and development. This paper also discusses ongoing research activities and anticipated outcomes.

scholarly journals A study of key players in developing low carbon buildings/communities in Canada: a case study in Ontario

2021 ◽  
Author(s):  
Christine Chow
Keyword(s):  
Construction Industry ◽  
Carbon Emission ◽  
Low Carbon ◽  
Developed Country ◽  
Ongoing Research ◽  
Research Activities ◽  
Key Players ◽  
Technical Factors ◽  
Low Carbon Emission

Architects, engineers, developers, contractors, building facility managers, and relevant governmental officers are the key players in developing and managing low-carbon buildings and communities, whose decisions and actions largely determine the level of carbon emission from them. This study is intended to investigate how these key players perform in current practices and to identify any areas for improvement. This paper presents a case study conducted in Ontario, Canada's province that can best represent the leading development industry within a developed country. A significant number of key players were surveyed through questionnaires and interviews. Key findings include: (1) Although low-carbon emission is a target for the Ontario construction industry, design considerations are still highly dependent on financial limitations and more attention is required towards technical factors and (2) knowledge, skills and tools are not sufficient to support improvements to low-carbon design and development. This paper also discusses ongoing research activities and anticipated outcomes.

scholarly journals Barriers to Sustainable Practices towards Low Carbon Emission Projects in Malaysia

2018 ◽  
Vol 7 (3.7) ◽  
pp. 47
Author(s):  
Mustafa M. A. Klufallah ◽  
Idris Othman ◽  
Muhd Fadhil Nuruddin ◽  
Mohd Faris Khamidi
Keyword(s):  
Factor Analysis ◽  
Natural Resources ◽  
Construction Industry ◽  
Construction Projects ◽  
Carbon Emission ◽  
Best Practice ◽  
Low Carbon ◽  
Capacity Design ◽  
Emission Level ◽  
Low Carbon Emission

The Malaysian construction  industry  significantly  contributes   as an empowerment to its development  vision  of  2020  by  reducing up to 40% of carbon emission. Moreover, the industry accounts as threat to the environment, not  only  in  terms  of natural  resources  consumption but  also  in emitting million tons of carbon emission annually. In fact, Malaysia is categorized the 30th in  the  world’s  ranking  in  carbon  emission  level. Several studies attempt to investigate and review barriers that face construction stakeholders in order to provide integration of sustainability in construction industry. However, the barriers were lacking in terms of addressing carbon emission aspects of sustainable practice and limit the emissions from construction projects in Malaysia. This paper investigates the major barriers of organization in achieving sustainability’s best practice. The identified barriers from the perspective of construction stakeholders in Malaysia were categorised based on factor analysis, which are professional and capacity, design and technologies, cost and finance, and, knowledge and culture.  

Optimal Sizing and Operation of Microgrid in a Small Island Considering Advanced Direct Load Control and Low Carbon Emission

2021 ◽  
Author(s):  
Homeyra Akter ◽  
Harun Or Rashid Howlader ◽  
Ahmed Y. Saber ◽  
Ashraf M. Hemeida ◽  
Hiroshi Takahashi ◽  
...  
Keyword(s):  
Carbon Emission ◽  
Small Island ◽  
Load Control ◽  
Low Carbon ◽  
Optimal Sizing ◽  
Direct Load Control ◽  
Low Carbon Emission

scholarly journals Constructing an Environmental Friendly Low-Carbon-Emission Intelligent Transportation System Based on Big Data and Machine Learning Methods

2020 ◽  
Vol 12 (19) ◽  
pp. 8118
Author(s):  
Tu Peng ◽  
Xu Yang ◽  
Zi Xu ◽  
Yu Liang
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Intelligent Transportation ◽  
Exhaust Emissions ◽  
Low Carbon ◽  
Vehicle Exhaust ◽  
The Sustainable Development ◽  
Low Carbon Emission

The sustainable development of mankind is a matter of concern to the whole world. Environmental pollution and haze diffusion have greatly affected the sustainable development of mankind. According to previous research, vehicle exhaust emissions are an important source of environmental pollution and haze diffusion. The sharp increase in the number of cars has also made the supply of energy increasingly tight. In this paper, we have explored the use of intelligent navigation technology based on data analysis to reduce the overall carbon emissions of vehicles on road networks. We have implemented a traffic flow prediction method using a genetic algorithm and particle-swarm-optimization-enhanced support vector regression, constructed a model for predicting vehicle exhaust emissions based on predicted road conditions and vehicle fuel consumption, and built our low-carbon-emission-oriented navigation algorithm based on a spatially optimized dynamic path planning algorithm. The results show that our method could help to significantly reduce the overall carbon emissions of vehicles on the road network, which means that our method could contribute to the construction of low-carbon-emission intelligent transportation systems and smart cities.

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