scholarly journals Evaluation Model and Strategy for Selecting Carbon Reduction Technology for Campus Buildings in Primary and Middle Schools in the Yangtze River Delta Region, China

2020 ◽  
Vol 12 (2) ◽  
pp. 534
Author(s):  
Xiaoyu Luo ◽  
Cong Ma ◽  
Jian Ge

Cutting down global warming and reducing greenhouse gas emissions such as carbon dioxide are important global targets. Accounting for a third of global energy consumption, the building construction industry is an important target for carbon reduction. Campus buildings, of which there are a large number in China, differ from other building types, as they have noteworthy energy-use characteristics and technology selection requirements. This study identifies the carbon reduction technologies in Chinese primary and middle schools commonly used for energy and water conservation, and then evaluates their performance according to degrees of carbon reduction, maturity and economic suitability. Based on these three indicators, the study creates a three-dimensional evaluation model for the different technologies examined in order to obtain a selection ranking. The study offers guidance for project practice in the construction of primary and middle schools and helps to promote the development of the low-carbon campus.

Author(s):  
Dandan Liu ◽  
Dewei Yang ◽  
Anmin Huang

China has grown into the world’s largest tourist source market and its huge tourism activities and resulting greenhouse gas (GHG) emissions are particularly becoming a concern in the context of global climate warming. To depict the trajectory of carbon emissions, a long-range energy alternatives planning system (LEAP)-Tourist model, consisting of two scenarios and four sub-scenarios, was established for observing and predicting tourism greenhouse gas peaks in China from 2017 to 2040. The results indicate that GHG emissions will peak at 1048.01 million-ton CO2 equivalent (Mt CO2e) in 2033 under the integrated (INT) scenario. Compared with the business as usual (BAU) scenario, INT will save energy by 24.21% in 2040 and reduce energy intensity from 0.4979 tons of CO2 equivalent/104 yuan (TCO2e/104 yuan) to 0.3761 Tce/104 yuan. Although the INT scenario has achieved promising effects of energy saving and carbon reduction, the peak year 2033 in the tourist industry is still later than China’s expected peak year of 2030. This is due to the growth potential and moderate carbon control measures in the tourist industry. Thus, in order to keep the tourist industry in synchronization with China’s peak goals, more stringent measures are needed, e.g., the promotion of clean fuel shuttle buses, the encouragement of low carbon tours, the cancelation of disposable toiletries and the recycling of garbage resources. The results of this simulation study will help set GHG emission peak targets in the tourist industry and formulate a low carbon roadmap to guide carbon reduction actions in the field of GHG emissions with greater certainty.


2021 ◽  
Vol 13 (8) ◽  
pp. 4441
Author(s):  
Sharif Shofirun Sharif Ali ◽  
Muhammad Rizal Razman ◽  
Azahan Awang ◽  
M. R. M. Asyraf ◽  
M. R. Ishak ◽  
...  

Despite growing urban electricity consumption, information on actual energy use in the household sector is still limited and causal factors leading to electricity consumption remain speculative due to urban expansion and its growing complexity, particularly in developing countries such as Malaysia. This study aims to examine the critical determinants of household electricity consumption by evaluating the patterns and flows of consumption and analysing relationships and their effects on electricity usage among 620 urban households in Seremban, Malaysia. Results suggest that the average urban household electricity consumption is 648.31 kWh/month; this value continues to grow with the increase in the household monthly income (r = 0.360; p < 0.01) and number of rooms (r = 0.360; p < 0.01) as quality of life improves. A large portion of electricity is allocated for kitchen/home consumption, followed by cooling and lighting. Multiple linear regressions revealed that married households with a high monthly income and living in spacious houses together with three to five people are important predictors of electricity consumption in Seremban. This study empirically identified that the number of rooms is the most critical factor of electricity consumption and strategies to increase energy efficiency, maintain resource sustainability and minimise greenhouse gas threat on the urban ecosystem are vital. Therefore, promoting low carbon initiatives for energy conservation and technology improvement and implementing policies in the domestic sector are essential to achieve the greatest potential energy consumption reduction in urban regions.


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