About: Embedded emissions is a research topic. Over the lifetime, 32 publications have been published within this topic receiving 591 citations. The topic is also known as: embodied emissions & embodied carbon.
TL;DR: In this paper, the authors describe a methodology to design reinforced concrete (RC) building frames based on minimum embedded CO 2 emissions and the economic cost of RC framed structures, which involves optimization by a simulated annealing (SA) algorithm applied to two objective functions, namely the embedded carbon dioxide emissions and economic cost.
TL;DR: In this paper, the results of extensive dynamometer tests on eight commonly sold electric vehicles were used to map power demand and energy consumption for all likely combinations of speed and acceleration, producing accessible, easily interpretable displays.
Abstract: The number of electric vehicles in service throughout the world has increased from a few thousand in 2009 to some 740,000 in December 2014. These vehicles are often seen as a means of reducing climate and health damaging emissions, and their development is directly supported by some countries and endorsed by the EU. Aside from questions of rebound effects, embedded emissions and cleanness of electricity generation, there are unanswered questions about the energy performance of such cars under a range of driving conditions, and the results of existing studies are not easily interpretable by policymakers and drivers. This study uses the results of extensive dynamometer tests on eight commonly sold electric vehicles. It develops a multivariate model, with regression coefficients around 0.97, to map power demand and energy consumption for all likely combinations of speed and acceleration, producing accessible, easily interpretable displays. While electric vehicles are frequently marketed on the basis of their high acceleration, an important finding is that episodes of modest to high acceleration severely compromise their range and energy efficiency, regardless of speed. This also raises questions as to how well such vehicles perform in the erratic driving conditions of urban traffic.
TL;DR: In this paper, a hybrid multistart optimization strategic method based on a variable neighborhood search threshold acceptance strategy (VNS-MTAR) algorithm is applied to two objective functions: the embedded carbon dioxide (CO2) emissions and the economic cost of reinforced concrete walls at different stages of materials production, transportation, and construction.
Abstract: This paper presents one approach to a methodology to design reinforced concrete cantilever retaining walls for road construction using a hybrid multistart optimization strategic method based on a variable neighborhood search threshold acceptance strategy (VNS-MTAR) algorithm. This algorithm is applied to two objective functions: the embedded carbon dioxide (CO2) emissions and the economic cost of reinforced concrete walls at different stages of materials production, transportation, and construction. The problem involved 20 design variables: four geometric variables (thickness of the stem and the base slab; toe and heel lengths), four material types, and 12 variables for the reinforcement setup. Results first indicate that embedded emissions and cost are closely related and that more environmentally friendly solutions than the lowest cost solution are available at a cost increment of less than 1.28%. The analysis also indicated that reducing costs by 1 Euro could save up to 2.28% kg in CO2 emission...
TL;DR: In this article, the authors proposed an agenda to integrate the procedure into national systems linking the sectoral carbon emissions of tourism with international climate commitments and progressing implementation of the Sustainable Development Goals.
TL;DR: In this article, the authors analyzed the climate implications of investments in high speed railway lines given uncertainty in future transport demand, technology and power production, and proposed a model to capture the uncertainty of future transportation demand and technology.
Abstract: This paper analyzes the climate implications of investments in high speed railway lines given uncertainty in future transport demand, technology and power production. To capture the uncertainty of ...