scholarly journals Low carbon emission baking performance of the bread roll and cake

2020 ◽  
Vol 3 (1) ◽  
pp. 31-37
Author(s):  
Md. Nazmul Aunsary ◽  
A. M. Zahirul Islam ◽  
S M Nahid Hasan ◽  
Marilyn B. Aldamar ◽  
Cheska B. Aujero

AbstractCarbon emission is the biggest problem all over the world. The actualizing of low carbon emission in the bread kitchen and dessert shop segment permits the difference in its mechanical procedure through the improvement of an eco-proficient framework. This study was to line up bread and cake with fully completely different wheat quality, baking time, and temperature through low carbon emission. The prepared samples were chemically analyzed for wet content, ash content, compound content, and organoleptic. Among the four processed cake products based on each parameter tested organoleptically, cupcake products were the most preferable one. Bread products made with substitution of 50% have been received by consumer panelists. The results of this study were also in line with the research conducted by which resulted in a substitution of spinach flour substitution of up to 60% still acceptable by panelists. Sponge cake from flour can still be received by panelists with 50% substitution. 12% of moisture will help 5 days’ self-life without chemical preservatives. The oven is the largest of the three consumers and typically accounts for between 35% and 45% of the total site carbon emissions. The dark cake pan, which holds in more heat than light-colored baking pans and bakes our cake batter faster. Considering that the most significant dark non-stick pan was suggested for baking low carbon emission, it will be reducing the baking temperature by 25° F. Good practice opportunities can be delivered for various plant/equipment utility serving could deliver on average a 10% saving in total CO2 emissions for the sector. This would speak to a CO2 decrease of 57 000 ton CO2 / year over the world.

2021 ◽  
Vol 14 (2) ◽  
pp. 13-31
Author(s):  
Anu Chandran ◽  
Simran Kashyap ◽  
Suneeth Bosipoina Golla

Sustainable management of destinations strongly advocates for low carbon emission tourism ventures that are eco-friendly. Tourism, however, has a profound potential of sensitisation. Walking Tours are increasingly becoming important for responsible tourism. Delhi is amongst the highly polluted cities of the world though it possesses amazing facets of tourism. While unveiling the relationship between walking tours and responsible tourism, this explorative study underscores the perspectives of the enablers of walking tours in the capital city.


2016 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Shih-Feng Tsai

<span lang="EN-US">Aiming at six big emerging economies in the world, namely, China, United States, United Kingdom, Germany, France and Japan, this paper analyzes their carbon emission conditions based on the data of carbon emission, energy consumption and economic development during 1970—2008 from the statistics in the World Development Index Database (WDI) of the World Bank, and carries out empirical analyses based on theories &amp; policies and driving factors of their low carbon economy. It is found that energy intensity, economic growth and urbanization progress exert more remarkable influences on carbon intensity, and the effect of carbon emission reduction depending on government fiancé is not sustainable. Thus, this paper is intended to explain that China needs more actively promoting green sustainable towns with its sustainable development, and developing urban low carbon industries and buildings for more civilized ecological towns.</span>


2021 ◽  
Author(s):  
Homeyra Akter ◽  
Harun Or Rashid Howlader ◽  
Ahmed Y. Saber ◽  
Ashraf M. Hemeida ◽  
Hiroshi Takahashi ◽  
...  

2020 ◽  
Vol 12 (19) ◽  
pp. 8118
Author(s):  
Tu Peng ◽  
Xu Yang ◽  
Zi Xu ◽  
Yu Liang

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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