Campus of University with Mobility Based on Innovation and Carbon Neutral

Bouscayrol, Alain; Castex, Élodie; Delarue, Philippe; Desreveaux, Anatole; Ferla, O.; Frotey, J.; German, Reinhard; Klein, Jeroen de; Lhomme, Walter; Sergent, Jean-Francois

doi:10.1109/vppc.2017.8331039

Cited by 16 publications

(12 citation statements)

References 14 publications

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“…The University Teknologi Malaysia (UTM) considered air transportation utilized by university students and employees contributed 34.74% and electricity usage contributed 19.37% (Naderipour et al, 2021). Pusan National University campus carbon emissions calculated the movement of the campus' members which were 21.5% (Jung et al, 2016), and the University of 'Lille 1' calculated the mobility users as 56% (Bouscayrol et al, 2017).…”

Section: Review Of Carbon Footprinting Of Colleges and Universitiesmentioning

confidence: 99%

“…(3) In the selection of carbon accounting objectives, due to their high percentages, studies have suggested including the importance of calculating carbon emission of mobility and the sequestration of green plants on campus (Bouscayrol et al, 2017, Suresh et al, 2021, ZOURan, 2017. Road Campus and no longer part of the university, and therefore it can be excluded as it doesn't have any energy relationship with the study area (Fig.…”

Section: Review Of Carbon Footprinting Of Colleges and Universitiesmentioning

confidence: 99%

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A Study and Assessment of the Carbon Footprint of Tianjin University’s Weijin Road and Peiyangyuan Campuses, China

zayit

Song

Ghengare

et al. 2021

Preprint

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BackgroundA living University campus is like a model city; its energy and carbon auditing can also model how energy and carbon can be studied and analyzed in a city. China’s colleges and universities face grave problems, now and in the future - from declining quality of campus environments to deteriorating building performance, antiquated facilities, and inefficient energy and resources consumption. While research and discussion exists on improving existing university buildings’ energy performance and evaluation standards - much of that research focuses on energy savings, rather than on greenhouse gas emissions reductions. Calculation of campus carbon emissions is the first step for transforming and planning each existing university to carbon neutral campus. Some researchers of campus carbon emissions in China have made calculations, which, although as yet unpublished, create an initial framework for carbon-neutral campus plan targets. The present research gives an overview of universities’ drive towards sustainability in China and in other countries. The paper then details carbon footprint accounting steps, quantifying major carbon emission sources and carbon sequestration by vegetation inside the Tianjin University’s Weijin Road and Peiyangyuan Campuses. Results from China’s universities are compared with international results in the scientific literature. In this paper, based on this data, we suggest strategies and show preliminary target settings for how to transform Weijin Road into a carbon-neutral campus. ResultsAnnual carbon emissions for 2019 of the Weijin Road campus were 58,172.68 tonnes, (2.60 tonnes per person), and Peiyangyuan campus, 55,213.75 tonnes (2.46 tonnes per person). The largest sources of the two campuses’ greenhouse gas emissions were electricity and gas; Weijin Road campus; electricity = 61.42%, gas = 20.73%, and Peiyangyuan campus electricity = 69.32%, gas = 11.60%. Carbon sequestered in the two campuses by vegetation are 11,257.34 tonnes and 27,856.51 tonnes respectively. The renewable energy contribution to carbon reduction in Peiyangyuan campus is 50.85 tonnes.ConclusionPer person carbon emissions of Tianjin University’s two campuses are below the average for some US campuses, but are also greater than some in European countries. Research may investigate methods used by successful campuses towards becoming carbon neutral.

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Section: Review Of Carbon Footprinting Of Colleges and Universitiesmentioning

confidence: 99%

Section: Review Of Carbon Footprinting Of Colleges and Universitiesmentioning

confidence: 99%

A Study and Assessment of the Carbon Footprint of Tianjin University’s Weijin Road and Peiyangyuan Campuses, China

zayit

Song

Ghengare

et al. 2021

Preprint

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show abstract

“…The real driving cycles represent a case study at the University of Lille, as part of the CUMIN program. The CUMIN (Campus of University with Mobility based on Innovation and carbon Neutrality) program [31] is focused on reducing greenhouse gas emission from thermal vehicles that come to campus. One strategy of this program is to replace thermal cars with electric vehicles.…”

Section: Economic Comparison Under Different Scenariosmentioning

confidence: 99%

Techno-Economic Comparison of Total Cost of Ownership of Electric and Diesel Vehicles

et al. 2020

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Despite their low environmental impact, electrical vehicles have low penetration in the automotive market. Consumers are reluctant for technical reasons (limited driving range and long charging time) but also for an economic reason (high investment costs). Electric vehicle total cost of ownership (TCO) is often perceived as higher than for a thermal car, especially in Europe where diesel cars have a lower TCO than gasoline cars. Accurate TCO estimations are critical, but most of the techno-economic studies of electrified vehicles are based on very simplified energy models. In this paper, a techno-economic model is developed using an accurate technical model of an electric vehicle and a diesel car of the same segment. These technical models are validated by experimental measurements on real cars using real driving cycles. These models are then coupled to economic models to calculate TCO for a French case study. The total cost of ownership of the studied electric car is lower than for the equivalent diesel car by about 1000€ for a 5-year ownership period. Of particular importance is the finding that using real driving cycles instead of standard driving cycles decreases the TCO of electric cars while simultaneously increasing the TCO of diesel vehicles. This has implications for techno-economic models, suggesting that the typical TCO approach that uses manufacturer-reported standard cycle data may be systemically biased towards thermal vehicles. In order to understand how TCO may change in different locations, a sensitivity analysis varies different technical and economic factors. Government subsidy, ownership duration, and vehicle depreciation are the most important factors for the TCO of electric vehicles. However, TCO of the electric cars can be lower than the TCO of equivalent diesel cars under a wide range of reasonable inputs.

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“…As an example, the University of Lille would convert its "Cité Scientifique" into an eco-campus without thermal vehicles [5]. As this campus receives 22,000 daily users in 80 buildings, it is functionally a small city.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, mobility constitutes more than 50% of the greenhouse gas emissions of this campus. The CUMIN (Campus of University with Mobility based on Innovation and carbon Neutral) program [5] aims to reduce the emissions from thermal cars, using several strategies including replacing conventional vehicles with electric vehicles supplied by photovoltaic-based charging stations.…”

Section: Introductionmentioning

confidence: 99%

Annual Variation in Energy Consumption of an Electric Vehicle Used for Commuting

et al. 2020

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The energy consumption of an electric vehicle is primarily due to the traction subsystem and the comfort subsystem. For a regular trip, the traction energy can be relatively constant but the comfort energy has variation depending on seasonal temperatures. In order to plan the annual charging operation of an eco-campus, a simulation tool is developed for an accurate determination of the consumption of an electric vehicle throughout year. The developed model has been validated by comparison with experimental measurement of a real vehicle on a real driving cycle. Different commuting trips are analyzed over a complete year. For the considered city in France (Lille), the comfort energy consumption has an overconsumption up to 33% in winter due to heating, and only 15% in summer due to air conditioning. The urban commuting driving cycle is more affected by the comfort subsystem than extra-urban trips.

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Campus of University with Mobility Based on Innovation and Carbon Neutral

Cited by 16 publications

References 14 publications

A Study and Assessment of the Carbon Footprint of Tianjin University’s Weijin Road and Peiyangyuan Campuses, China

A Study and Assessment of the Carbon Footprint of Tianjin University’s Weijin Road and Peiyangyuan Campuses, China

Techno-Economic Comparison of Total Cost of Ownership of Electric and Diesel Vehicles

Annual Variation in Energy Consumption of an Electric Vehicle Used for Commuting

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