Abstract
This paper presents a visualization methodology, in the form of a multi-dimensional techno-economic assessment diagram, to comprehensively illustrate the relationship between assumptions (sets of input parameters) and results (corresponding output variables). This methodology is applied to analyze the lifecycle costs and CO2 emissions of hybrid vehicles (HVs) and electric vehicles (EVs). This paper then develops an eight-dimensional interactive diagram showing the relative advantages of HVs or EVs in the input space consisting of the following parameters: HV fuel efficiency; EV energy efficiency, total mileage travelled gasoline price, electricity price, battery price, gasoline CO2 intensity, and electricity CO2 intensity. This methodology provides a map illustrating the comprehensive relationship between the inputs and outputs in the model used, where specific scenarios (specific sets of inputs and their outputs) are represented by points plotted on the map. This methodology can be used in systematic comparisons of electric vehicles and related uncertainty analyses.
Highlights
The proportion of CO2 emissions from road transport to overall energy-related CO2 emissions is 15.9%, 27.8%, and 16.9% in Japan, the US, and worldwide, respectively [1]
The settings of the threeare variables of eight planes represent diagrams around thresholds the center. at which the life cycle cost (LCC) of hybrid vehicles (HVs) and electric vehicles (EVs) is equal. It is apparent the blue colored is larger the red one, indicating between that the. These eight 3Dthat diagrams around the region center show the than corresponding relationships advantageous region of and HV is larger of EV in terms of LCC
The diagram at the left of the second row indicates that HVs are advantageous for both regions in terms of LCC, whereas the Midwest and California are the most advantageous for HVs and EVs, respectively, for LCCO2
Summary
The proportion of CO2 emissions from road transport to overall energy-related CO2 emissions is 15.9%, 27.8%, and 16.9% in Japan, the US, and worldwide, respectively [1]. 2018, 9, 41 this challenge is sensitivity analysis, which is used in a wide variety of fields besides LCA and aims to observe the change in one output variable (result) according to the change in one input variable (assumption), i.e., to find the coefficient of partial differentiation of function describing the model. Study, called a multi-dimensional assessment diagram to comprehensively the relationship betweenthe assumptions (setsbetween of input techno-economic assessment diagram illustrate to comprehensively illustrate relationship parameters) and results (corresponding sets of output variables). Appling this methodology to compare assumptions (sets of input parameters) and results (corresponding sets of output variables).
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