scholarly journals PRIORITIZATION AND SELECTION OF ELECTRICAL VEHICLE SYSTEMS TO IMPROVE ITS PERFORMANCES: AN AHP APPROACH

2016 ◽  
Author(s):  
Victoria Muerza ◽  
Emilio Larrodé ◽  
Juan Bautista Arroyo
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicles ◽  
Urban Transport ◽  
Analytic Hierarchy ◽  
Vehicle Operation ◽  
Electrical Vehicles ◽  
Vehicle Structure ◽  
Vehicle Systems ◽  
Electrical Vehicle ◽  
Hierarchy Process

In the study of the improvement of urban transport in terms of energy efficiency and environmental improvement, one of the best options is the use of electric vehicles for both passengers and freight distribution. Depending on the type of transport operation to be performed, it is necessary to select the most appropriate vehicle that meets the necessary requirements, so that the result is an improvement in energy efficiency and low environmental impact. It is therefore necessary to design architectures for electric vehicles, specially adapted to the different scenarios in which are to be used, and where they can optimize the transport operation in both reducing energy consumption and reducing emissions, maintaining a cost competitive with current vehicle operation. The electrical vehicles (EV) are composed of different systems. A typical EV structure involves five subsystems: (i) drive system, (ii) power system, (iii) control system, (iv) vehicle structure and (v) auxiliary systems. This paper focuses on the development of a multicriteria decision procedure based on the use of the Analytic Hierarchy Process (AHP), to prioritize among the five vehicle systems, in which the design efforts should be guided to improve the vehicle performances in a given scenario of vehicle use.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3380

scholarly journals Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model

2018 ◽  
Vol 11 (1) ◽  
pp. 9 ◽  
Author(s):  
Omid Ghorbanzadeh ◽  
Sarbast Moslem ◽  
Thomas Blaschke ◽  
Szabolcs Duleba
Keyword(s):  
Analytic Hierarchy Process ◽  
Public Transportation ◽  
Pairwise Comparison ◽  
Urban Transport ◽  
Preference Ranking ◽  
Decision Support Model ◽  
Analytic Hierarchy ◽  
Stakeholder Groups ◽  
User Groups ◽  
Hierarchy Process

Sustainable urban transport requires smart and environmentally-friendly technical solutions. It also needs to meet the demands of different user groups, including current and potential future users, in order to avoid opposition of the citizens and to support sustainable development decisions. While these requirements are well-known, conducting full surveys of user needs and preferences are tedious and costly, and the interests of different user groups may be contradictory. We therefore developed a methodology based on the prevalent Analytic Hierarchy Process (AHP), which is capable of dealing with the inconsistencies and uncertainties of users’ responses by applying an Interval Analytic Hierarchy Process (IAHP) through comparing the results of passengers to reference stakeholder groups. For a case study in Mersin, a coastal city in southern Turkey with 1.7 Million inhabitants, three groups were surveyed with questionnaires: 40 users of the public transport system, 40 non-users, and 17 experts. Based on interval pairwise comparison matrices, consisting of whole judgments of all groups, the IAHP methodology could attain a consensual preference ranking for a future public transportation system between the three groups. A sensitivity analysis revealed that the factor ranking was very stable.

Evaluation of Electric Vehicles' Impacts and Rationalization of their Energy Sources' Distribution Based on Analytic Hierarchy Process and Multi-Objective Programming Model

2014 ◽  
Vol 707 ◽  
pp. 525-531
Author(s):  
Ze Ming Jiang ◽  
Cong Hou
Keyword(s):  
Analytic Hierarchy Process ◽  
Electric Vehicles ◽  
Programming Model ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming ◽  
Hierarchy Process ◽  
Economic And Social Impacts

By using Analytic Hierarchy Process (AHP), a solution is given in different aspects to analyze the weight of the impacts of electric vehicles. The economic and social impacts are found out to be the key factors. When EV’s penetration rate reaches a certain level, the lowest cost, lowest harm degree to our environment and society, and maximum possibility are considered to avoid using un-renewable energy. In addition, multi-objective programming model is built to solve the problem of the amount and type of electricity generation needed that will produce the largest number of benefits.

Decision Procedure for Efficient Data Acquisition for Distinct Energy Prognosis Models

2017 ◽  
Vol 871 ◽  
pp. 115-124 ◽  
Author(s):  
Marian Süße ◽  
Johannes Stoldt ◽  
Andreas Schlegel ◽  
Matthias Putz
Keyword(s):  
Energy Efficiency ◽  
Data Acquisition ◽  
Input Data ◽  
Analytic Hierarchy ◽  
Efficient Procedure ◽  
Energy Data ◽  
Efficient Data ◽  
The Impact ◽  
Hierarchy Process

The current challenges for enterprises are heavily linked to resource and energy efficiency, a result of political guidelines and the overall consciousness for environmental issues in society. Thus, the impact of energy efficiency on factory planning and production planning is of undeniable importance. Adequate consumption information utilising various depiction methods has become a necessity in this respect. Yet, only few works provide information on the efficiency of energy data acquisition methods. This paper proposes a methodological framework for defining an efficient procedure for energy data acquisition in accordance with the depiction or prognosis method. A preliminary literature review indicates the variety of methods for energy data depiction and prognosis. The classification of these methods regarding planning state and planning levels leads to the estimation of relevant input data. Based on the fundamental investigation of necessary input data the decision approach is developed with a general heuristic decision model and incorporates the Analytic Hierarchy Process for quantification and solution of the overall decision problem. Therefore the integration of multiple decision criteria enables the consideration of different quantitative and qualitative influences. As a result the whole approach supports the collaborative identification of means for energy data acquisition and is applicable in several circumstances where energy data needs to be gathered efficiently. The decision procedures exemplary application has shown the general proficiency of the approach and that excessive data acquisition which contradicts efficiency is avoidable.

Investment Risk Analysis on the Widespread Use of Electric Vehicles

2011 ◽  
Vol 271-273 ◽  
pp. 895-899
Author(s):  
Bin Wu ◽  
Min Xi Zhao
Keyword(s):  
Risk Analysis ◽  
Analytic Hierarchy Process ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Risk Model ◽  
Supply And Demand ◽  
Investment Risk ◽  
Fuzzy Evaluation ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Because of the gradually increasing gap between supply and demand of oil and more attention paid to the environment, the pace of Electric Vehicle investment is gradually increasing, and the problem of investment risk comes into focus. This paper studies the Investment Risk of widespread manufactory of Electric Vehicles, which is in Problem C of ICM (The Interdisciplinary Contest in Modeling) in 2011. In order to give a rough estimate, we establish an investment risk model, using Analytic Hierarchy Process and Fuzzy Evaluation to evaluate the investment risk. Finally, we will provide reasonable opinions to vehicle manufacturers.

scholarly journals ENERGY EFFICIENCY SAVING FINANCING IN INDONESIA: LCC ANALYSIS

2020 ◽  
Vol 5 (2) ◽  
pp. 202-207
Author(s):  
Eka Sudarmaji ◽  
Yuli Ardianto
Keyword(s):  
Game Theory ◽  
Sensitivity Analysis ◽  
Energy Efficiency ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Initial Model ◽  
Analytic Hierarchy ◽  
Investment Returns ◽  
Set Up ◽  
Hierarchy Process

This paper to set up an initial model in developing the model for Energy Saving Companies in Indonesia in assessing alternative financing for Energy Efficiency Saving in Indonesia. The reviewed for all the energy efficiency saving advantages cover the upfront investment costs are presented. The model is using the Analytic Hierarchy Process (AHP) and life cycle cost (LCC) analysis, with sensitivity analysis, is presented under possible a game-theory process. On some occasions, these alternative financing values are comparing to other similar investment returns as well as the risks

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