The Battle between Battery and Fuel Cell Powered Electric Vehicles: A BWM Approach

Kaa, Geerten van de; Scholten, Daniel; Rezaei, Jafar; Milchram, Christine

doi:10.3390/en10111707

Cited by 66 publications

(35 citation statements)

References 60 publications

(106 reference statements)

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“…On the contrary, lack of refueling infrastructure and impossibility for FCEVs to be charged at most residential homes is a key demerit [24][25][26]. Efficiency and cost remain controversial for the future of BEVs and FCEVs to determine which technology exceeds the other, but indications can be found, which favor BEVs [27][28][29][30].The rail mode is less environmentally critical, more energy efficient, and may enable a faster transportation compared with other transport modes. These virtues also pose economic attractiveness and contribute to societal benefits.…”

mentioning

confidence: 99%

Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World

et al. 2019

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The pivotal target of the Paris Agreement is to keep temperature rise well below 2 °C above the pre-industrial level and pursue efforts to limit temperature rise to 1.5 °C. To meet this target, all energy-consuming sectors, including the transport sector, need to be restructured. The transport sector accounted for 19% of the global final energy demand in 2015, of which the vast majority was supplied by fossil fuels (around 31,080 TWh). Fossil-fuel consumption leads to greenhouse gas emissions, which accounted for about 8260 MtCO2eq from the transport sector in 2015. This paper examines the transportation demand that can be expected and how alternative transportation technologies along with new sustainable energy sources can impact the energy demand and emissions trend in the transport sector until 2050. Battery-electric vehicles and fuel-cell electric vehicles are the two most promising technologies for the future on roads. Electric ships and airplanes for shorter distances and hydrogen-based synthetic fuels for longer distances may appear around 2030 onwards to reduce the emissions from the marine and aviation transport modes. The rail mode will remain the least energy-demanding, compared to other transport modes. An ambitious scenario for achieving zero greenhouse gas emissions by 2050 is applied, also demonstrating the very high relevance of direct and indirect electrification of the transport sector. Fossil-fuel demand can be reduced to zero by 2050; however, the electricity demand is projected to rise from 125 TWhel in 2015 to about 51,610 TWhel in 2050, substantially driven by indirect electricity demand for the production of synthetic fuels. While the transportation demand roughly triples from 2015 to 2050, substantial efficiency gains enable an almost stable final energy demand for the transport sector, as a consequence of broad electrification. The overall well-to-wheel efficiency in the transport sector increases from 26% in 2015 to 39% in 2050, resulting in a respective reduction of overall losses from primary energy to mechanical energy in vehicles. Power-to-fuels needed mainly for marine and aviation transport is not a significant burden for overall transport sector efficiency. The primary energy base of the transport sector switches in the next decades from fossil resources to renewable electricity, driven by higher efficiency and sustainability.

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confidence: 99%

Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World

et al. 2019

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“…The BWM is the method that has increasingly been applied over a short time . Some authors [122][123][124]128,134,[138][139][140]] see this method as an adequate substitute for the AHP. Its major advantage is a smaller number of pairwise comparisons (2n − 3) compared to the AHP.…”

Section: Review Of Applications Of Subjective Mcdm Methods In Differementioning

confidence: 99%

A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM)

2018

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In this paper, a new multi-criteria problem solving method—the Full Consistency Method (FUCOM)—is proposed. The model implies the definition of two groups of constraints that need to satisfy the optimal values of weight coefficients. The first group of constraints is the condition that the relations of the weight coefficients of criteria should be equal to the comparative priorities of the criteria. The second group of constraints is defined on the basis of the conditions of mathematical transitivity. After defining the constraints and solving the model, in addition to optimal weight values, a deviation from full consistency (DFC) is obtained. The degree of DFC is the deviation value of the obtained weight coefficients from the estimated comparative priorities of the criteria. In addition, DFC is also the reliability confirmation of the obtained weights of criteria. In order to illustrate the proposed model and evaluate its performance, FUCOM was tested on several numerical examples from the literature. The model validation was performed by comparing it with the other subjective models (the Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)), based on the pairwise comparisons of the criteria and the validation of the results by using DFC. The results show that FUCOM provides better results than the BWM and AHP methods, when the relation between consistency and the required number of the comparisons of the criteria are taken into consideration. The main advantages of FUCOM in relation to the existing multi-criteria decision-making (MCDM) methods are as follows: (1) a significantly smaller number of pairwise comparisons (only n − 1), (2) a consistent pairwise comparison of criteria, and (3) the calculation of the reliable values of criteria weight coefficients, which contribute to rational judgment.

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“…It acts based on linear programming. It has received considerable attention in various fields (Van de Kaa, Scholten, Rezaei, & Milchram, 2017;Chitsaz & Azarnivand, 2017;. The idea behind the BWM allows decision-makers to run an operable model in complex decision environments (Rezaei, Nispeling, Sarkis, & Tavasszy, 2016;Rezaei, Wang, & Tavasszy, 2015;Ahmadi, Kusi-Sarpong, & Rezaei, 2017;Gupta, 2018).…”

Section: The Best-worst Methodsmentioning

confidence: 99%

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

Yazdani

Wen

Liao

et al. 2019

Journal of Civil Engineering and Management

145

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This study investigates an extended version of the combined compromise solution method with grey numbers, named CoCoSo-G for short, to measure the performance of suppliers in a construction company in Madrid. Seven criteria from a relevant previous study are the basis for assessing the performance of suppliers, while ten suppliers are composing our decision matrix. To initiate the decision-making process, we invite experts to aid us in the qualitative evaluation of the suppliers using grey interval values. Two weighting methods, including the DEMATEL (Decision Making Trial and Evaluation Laboratory) and BWM (best worst method) are used to achieve the importance of supplier criteria in a combined manner. The DEMATEL method is used to realise the best and worst criteria, and the BWM is used to sort the criteria according to a linear programming formulation. The CoCoSo-G method used to release the score of each supplier and rank them. We compare the results obtained by the CoCoSo-G with those obtained by the Complex Proportional Assessment method. It is evident that offering grey values for supplier qualification, using the combined weighting tool and proposing the new CoCoSo-G approach facilitate the evaluation process while indicating trustable outcomes.

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The Battle between Battery and Fuel Cell Powered Electric Vehicles: A BWM Approach

Cited by 66 publications

References 60 publications

Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World

Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World

A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM)

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

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