Investing for rapid decarbonization in cities

Echeverri, L. Gomez

doi:10.1016/j.cosust.2018.02.010

Cited by 28 publications

(8 citation statements)

References 27 publications

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“…Gomez Echeverri [9] and Grandim [10] refer that more than 70% of carbon dioxide emissions are produced by cities, making the discussion of urban challenges relevant to achieve a reduction in them. These urban challenges come from different dimensions, including urban infrastructure, transport, buildings and waste, presenting at the same time difficulties and opportunities at the technical and economic level [10].…”

Section: Mobility Projects To Promote Decarbonizationmentioning

confidence: 99%

Quantifying the Carbon Dioxide Emissions Resulting from Awareness-Raising Actions of Sustainable Mobility

Souza

Paiva

Silva

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Currently, the transport sector is a major contributor to global greenhouse gases emissions. The evaluation of projects that promote the decarbonization in cities is mainly focused on calculating the reduction of CO2 emissions. The calculation methodology takes into account the characteristics of the city car fleet where these projects are implemented. In the case of the "SchoolBus" project, promoted by the Braga Municipal Council during the 2018-2019 school year, the average value of reduction was of 34.9 tonCO2eq/year. The number of vehicles circulating in the study area, the emission factor related to the type of vehicle and its fuel and the distance traveled by them were the main parameters used to calculate CO2 emissions. The impacts of the "SchoolBus" project on stakeholders and awareness-raising actions of sustainable mobility can be quantified in terms of CO2, by analyzing the population's interest in joining more sustainable modes of transport. Thus, it is possible to evaluate the potential of the awareness-raising actions, applied in the study area, in the decarbonization in a larger area (i.e. the whole municipality). At the same time, it is possible to compare and analyze the calculated values in relation to the quantified potential range of effects of policy measures on CO2 emissions using transport demand for the year 2030, indicated by the European Commission and adapted to the area of study, by introducing measures of sustainable mobility in the territory.

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Section: Mobility Projects To Promote Decarbonizationmentioning

confidence: 99%

Quantifying the Carbon Dioxide Emissions Resulting from Awareness-Raising Actions of Sustainable Mobility

Souza

Paiva

Silva

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…Among the renewables, hydropower contributes the highest (12.2%), while solar and wind energy constitutes 4.4% and 4.5%, respectively. For achieving decarbonization and the Paris agreement, focused and strategical investment is of the utmost importance, and most of these investments are required in the developing countries [9]. Further, deep decarbonization is an extremely convoluted and systematic process that requires blended contributions from policies, technologies, people, companies, and markets [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…The weighted normalized decision matrix is obtained by multiplying the weightage corresponding to each parameter to the elements of the normalized decision matrix. This is expressed in Equation (9).…”

mentioning

confidence: 99%

Assessment of Clean Energy Transition Potential in Major Power-Producing States of India Using Multi-Criteria Decision Analysis

Indrajayanthan¹,

Mohanty²

2022

Sustainability

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India has an ambitious target to promote clean energy penetration, but as of 2021, the electricity mix of India is dominated by coal to about 71%. Therefore, analyzing the clean energy potential and the ability of the individual states to entrench energy transition in the upcoming years will be supportive for policymakers. This study is propounded to assess the clean energy transition potential with a focused analysis on seven major power-producing states of India. These states include Maharashtra, Gujarat, Tamil Nadu, Uttar Pradesh, Karnataka, Madhya Pradesh, and Andhra Pradesh. The clean energy transition potential assessment is performed by utilizing multi-criteria decision analysis methodologies such as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Objective Optimization Method by Ratio Analysis (MOORA). Further, the analysis is performed against four major criteria that include high carbon energy resource dependency, low carbon energy resource dependency, clean energy potential, and policy support. Altogether, the assessment criteria include four primary level criteria and fourteen secondary level parameters. In order to reflect the significance of each parameter and criterion to the characteristics of clean energy transition potential, appropriate weightage is provided using the Fuzzy Analytic Hierarchy Process (AHP). The results indicate that Gujarat has the highest clean energy transition potential in both the multi-criteria decision analysis methods. On the other hand, Uttar Pradesh exhibited the least performance, and a complete energy transition to clean energy resources is less likely in this state. The rest of the states obtained intermediate ranking, and a comparative analysis between the two methods was also accomplished. This study suggests that India should focus on the clean energy policy with vigorous efforts on top-performing states which will effectively accelerate the power sector decarbonization.

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“…EU´s cities, which live over 70% of EU citizens in, offer some of the best opportunities for decarbonization. Sectors as transport, buildings, water, and waste have the greatest potential for high impact decarbonization investments [1]. Green innovation is driven by institutional pressures, and that such innovation can create value in terms of social sustainability [2].…”

Section: Introductionmentioning

confidence: 99%

Economic Assessment of Investment in Electric Buses and CNG Buses – A Case Study of a Public Transport Company

Fabianová¹,

Janeková²

2022

Adv. Sci. Technol. Res. J.

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The article deals with green investment focused on urban public transport. This work presents a holistic approach to evaluating investments in electric and CNG buses, i.e., the economic efficiency assessment, including the risk aspect. The investment project is assessed in terms of the source of funding and risk factors affecting the profitability of the project. A non-repayable subsidy from the European Social Fund in the amount of 0%, 25%, 50% and 90% of investment costs is considered. Economic efficiency is assessed in terms of profitability through the financial criterion Net Present Value (NPV) and risk using mean NPV and standard deviation. The result of the evaluation of the variants of the investment project is that the investment project without the support of non-repayable resources is loss-making. With a low level of financial support, it is more economical to procure CNG buses. With a higher level of financial support, investments in electric buses are more profitable, due to lower operating costs.

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Investing for rapid decarbonization in cities

Cited by 28 publications

References 27 publications

Quantifying the Carbon Dioxide Emissions Resulting from Awareness-Raising Actions of Sustainable Mobility

Quantifying the Carbon Dioxide Emissions Resulting from Awareness-Raising Actions of Sustainable Mobility

Assessment of Clean Energy Transition Potential in Major Power-Producing States of India Using Multi-Criteria Decision Analysis

Economic Assessment of Investment in Electric Buses and CNG Buses – A Case Study of a Public Transport Company

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