Health and climate benefits of Electric Vehicle Deployment in the Greater Toronto and Hamilton Area

Gai, Yijun; Minet, Laura; Posen, I. Daniel; Smargiassi, Audrey; Tétreault, L; Hatzopoulou, Marianne

doi:10.1016/j.envpol.2020.114983

Cited by 34 publications

(20 citation statements)

References 53 publications

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“…Shuai P., et al [12] used a high-resolution WRF-SMOKE-CMAQ-BenMAP air quality and health modeling framework and found that EV could prevent 114-246 premature deaths in the Greater Houston Area in 2040. Yijun G., et al [13] used an integrated assessment model to study the Greater Toronto and Hamilton Area and found that with 25% and 100% EV penetration rates, EV could reduce about 50 to 260 premature deaths per year. However, few studies have focused on the health impact of electric vehicles in China.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of the Electric Vehicle Policies on Environment and Health in the Beijing–Tianjin–Hebei Region

Madaniyazi

Xie

2021

IJERPH

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China is implementing intensive policies on electric vehicles to control air pollution in urban regions, especially the Beijing–Tianjin–Hebei (BTH) region, one of the most polluted areas in China. The development of electric vehicles will lead to an increase in electricity demand. Because electricity is mostly generated by thermal power in China, primary energy consumption will also increase. This study sets two scenarios: with the electric vehicle policies scenario (REN) and without the electric vehicle policies scenario (FOS) to compare electric vehicle policy’s impact. We quantified the health benefits of the electric vehicle policies in the BTH region by using an integrated assessment framework. Compared with scenario FOS, the local PM2.5 emission will reduce by 11.38%, 15.12%, 22.27%, and the concentration will reduce by 18.84%, 20.04%, and 19.57% in Beijing, Tianjin, Hebei separately by 2030 in REN. The electric vehicle policies can avoid 23.5 million morbidities and 4.6 thousand mortalities and save CNY 20.65 billion using the value of statistical life and 1.5 million work loss days in 2030 in REN. Our results show that electric vehicle policy can bring a remarkably positive benefit to public health and the economy.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of the Electric Vehicle Policies on Environment and Health in the Beijing–Tianjin–Hebei Region

Madaniyazi

Xie

2021

IJERPH

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“…Specificities Description [36] Simulation of replacement of fossil fuels for wind and solar projects in several US locations from 2009 to 2011 [25] Simulation of replacement of natural gas with wind power in two locations: a 580 MW wind farm in California and a 22 MW wind farm in Idaho [38] Simulation of conversion of California's all-purpose energy infrastructure to one relying exclusively on RESs [39] Simulation of the health co-benefits of four different EE/RES installation types (two of RESs) in six different locations in the US [40] Simulation of the replacement of coal-fired plants with RESs and estimation of the associated health co-benefits [28] Simulation of implementation of two offshore wind power facilities in two different locations and in two years (2012 and 2017) [33] Simulation of use of hydrogen (collected from RESs) in a natural-gas-fueled combined cycle power plant [42] Simulation of a 17% share of solar photovoltaic generation in the electricity generation mix in the Eastern US [46] Simulation of hydrogen (produced using RESs) use in hydrogen mobility and hydrogen injection in the natural gas grid/pipeline in three different locations in Italy [47] Simulation of the transition to 100% RESs in all energy sectors in 74 Metropolitan Areas until 2050 [29] Scenario comparison Simulation of wind power growth in the US from 2013 to 2050, comparing different scenarios (different shares) [32] Simulation of different scenarios for the evolution of Renewable Portfolio Standards in the US, from 2015 to 2050 [30] Simulation of evolution of sub-national RPS or carbon pricing in the US until 2030 [45] Simulation of an expansion of electricity generation and estimation of the health co-benefits of using RESs (promoted by RPS) instead of fossil fuels [34] Simulation of the evolution of energy demand and carbon emissions in China, from 2020 to 2050, in response to different climate policies [48] Simulation of different penetration shares of Electric Vehicles (EVs) powered exclusively with RESs in a large metropolitan area [23] LCA/Scenario comparison Simulation of an increasing share of distributed generation (RESs) and estimation of resulting health co-benefits under different carbon tax levels from 2006 to 2008 [21] Simulation of replacement of centralized generation for distributed generation of two types of grid-connected photovoltaic panels and three types of micro-wind turbines [31] LCA Simulation of RES growth from 2010 to 2030 in Taiwan [43] Simulation of use of small-sized trees to generate electricity instead of disposing them…”

Section: Referencementioning

confidence: 99%

“…The authors found this procedure to have significant advantages. Most studies exclusively cover electricity generation, while only three studies combine electricity generation with electric vehicles and/or green hydrogen [33,46,48]. Table 6 summarizes the types of RES covered in the literature.…”

Section: Ress Includedmentioning

confidence: 99%

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Health Benefits from Renewable Electricity Sources: A Review

2021

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Energy generation has had several negative health impacts over the last few decades, mainly due to air pollution. One of the ways to decrease such impacts is to increase energy generation through renewable energy sources (RESs). These sources have important health co-benefits that need to be taken into consideration. This topic has been included in the literature, but research is scattered. The goal of this article is to show the status of the literature on this topic. We performed a systematic literature review on the health co-benefits of RES use, depicting the state of the art of this literature, some common findings, limitations, and lines for future research. It is clear from our analysis that this literature remains scarce. We found 28 studies fitting the inclusion criteria. Results can be summed as follows: (1) wind and solar power are the most studied RES sources; (2) most studies are for the United States and developing countries are largely understudied; and (3) health benefit results vary widely according to site-specific conditions. Overall, the existing studies show significant health co-benefits from RES use, which are important to consider when performing cost–benefit analysis for energy projects. This is particularly relevant for policy-makers and energy investors.

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“…Sustainable development of areas of charging station installation: The study in economic and quantitative terms shows the benefits of e-mobility in the health sector [51], which exceed the cost of financial incentives for EV acquisition even in an adverse EV penetration scenario [52].…”

mentioning

confidence: 99%

A Multi-Criteria Decision Process for EV Charging Stations’ Deployment: Findings from Greece

Ανθόπουλος

Kolovou

2021

Energies

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Electro-mobility (EV) is an emerging transportation method, whose charging infrastructure development concerns a key-factor for its growth. EV charging infrastructure has not grown yet in Greece, regardless of the ambitious national targets that have been grounded for 2030 towards a climate-neutral mobility. This study introduces a multi-criteria decision-making (MCDM) framework for EV charging infrastructure deployment and operation, which respects both the economic and the technical aspects for public charging stations. The analytic hierarchy process (AHP) was followed for the MCDM framework’s definition, which used criteria that were in the corresponding literature and performed with interviews by experts from the EV growing market in Greece. The results show that the installation and operation of public EV charging stations, located in private spaces to ensure their protection against vandalism, within the urban areas is the preferred deployment approach. Moreover, this article tests a market model for the EV charging infrastructure ownership and operation. Findings show that the incentive for investment in EV charging infrastructure market in Greece, is driven by the direct investments of limited vendors, while it is not economically oriented, but it focuses on sustainability and environmental protection.

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Health and climate benefits of Electric Vehicle Deployment in the Greater Toronto and Hamilton Area

Cited by 34 publications

References 53 publications

Impact of the Electric Vehicle Policies on Environment and Health in the Beijing–Tianjin–Hebei Region

Impact of the Electric Vehicle Policies on Environment and Health in the Beijing–Tianjin–Hebei Region

Health Benefits from Renewable Electricity Sources: A Review

A Multi-Criteria Decision Process for EV Charging Stations’ Deployment: Findings from Greece

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