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Nathaniel S. Pearre

Other affiliations: University of Delaware
Bio: Nathaniel S. Pearre is an academic researcher from Dalhousie University. The author has contributed to research in topics: Renewable energy & Electricity. The author has an hindex of 12, co-authored 23 publications receiving 972 citations. Previous affiliations of Nathaniel S. Pearre include University of Delaware.

Papers
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Journal ArticleDOI
TL;DR: In this article, a full year of high-resolution driving data from 484 instrumented gasoline vehicles in the US is used to analyze daily driving patterns, and from those infer the range requirements of electric vehicles (EVs).
Abstract: One full year of high-resolution driving data from 484 instrumented gasoline vehicles in the US is used to analyze daily driving patterns, and from those infer the range requirements of electric vehicles (EVs). We conservatively assume that EV drivers would not change their current gasoline-fueled driving patterns and that they would charge only once daily, typically at home overnight. Next, the market is segmented into those drivers for whom a limited-range vehicle would meet every day’s range need, and those who could meet their daily range need only if they make adaptations on some days. Adaptations, for example, could mean they have to either recharge during the day, borrow a liquid-fueled vehicle, or save some errands for the subsequent day. From this analysis, with the stated assumptions, we infer the potential market share for limited-range vehicles. For example, we find that 9% of the vehicles in the sample never exceeded 100 miles in one day, and 21% never exceeded 150 miles in one day. These drivers presumably could substitute a limited-range vehicle, like electric vehicles now on the market, for their current gasoline vehicle without any adaptation in their driving at all. For drivers who are willing to make adaptations on 2 days a year, the same 100 mile range EV would meet the needs of 17% of drivers, and if they are willing to adapt every other month (six times a year), it would work for 32% of drivers. Thus, it appears that even modest electric vehicles with today’s limited battery range, if marketed correctly to segments with appropriate driving behavior, comprise a large enough market for substantial vehicle sales. An additional analysis examines driving versus parking by time of day. On the average weekday at 5 pm, only 15% of the vehicles in the sample are on the road; at no time during the year are fewer than 75% of vehicles parked. Also, because the return trip home is widely spread in time, even if all cars plug in and begin charging immediately when they arrive home and park, the increased demand on the electric system is less problematic than prior analyses have suggested.

541 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide a comprehensive and current review of concepts, recently published studies, and demonstration projects/deployments of V2X technology from around the world.
Abstract: Vehicle-to-Anything, or V2X, is a term which references technologies that use the energy in the batteries of plug-in electric vehicles (PEVs) for any purpose outside the vehicle. The purpose of this document is to provide a comprehensive and current review of concepts, recently published studies, and demonstration projects/deployments of V2X technology from around the world. While the focus will be kept on recently published studies and current technological developments, some historical perspective and important project reports from earlier periods of V2X development will be included for context. The report is broken down into sections focusing on different classes of V2X service: services to overall regional grid stability and reliability (V2G); reliability and backup energy supply services to individual homes or buildings (V2H); and studies focusing on services to commercial buildings generally inapplicable to residential houses (V2B). Attention will be paid to the operational strategy of the reviewed articles, which reflect a broad spectrum of optimization approaches and objectives.

95 citations

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TL;DR: In this paper, grid services and storage technologies are examined using a range of metrics, such as duration, cycling occurrence, power, and market price, and the reader is provided with a method for comparing universal characteristics with regional/technology specific values.

89 citations

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TL;DR: In this article, the authors used publicly available oceanic, environmental and socioeconomic data to identify areas less suitable for development due to physical or technical constraints, safety or other hazards, environmental concerns, or competing uses.

68 citations

Journal ArticleDOI
TL;DR: In this article, the authors used four months of hourly wind speed data from 36 WECs in Nova Scotia, Canada to find corrections for wind forecasts generated conventionally from a nested Weather Research and Forecasting atmospheric model.

56 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors identify potential socio-technical barriers to consumer adoption of EVs and determine if sustainability issues influence consumer decision to purchase an EV, and provide valuable insights into preferences and perceptions of technology enthusiasts; individuals highly connected to technology development and better equipped to sort out the many differences between EVs and CVs.

1,207 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a comprehensive overview of the drivers for and barriers against consumer adoption of plug-in EVs, as well as an overview of theoretical perspectives that have been utilized for understanding consumer intentions and adoption behavior towards EVs, identifying gaps and limitations in existing research and suggest areas in which future research would be able to contribute.
Abstract: In spite of the purported positive environmental consequences of electrifying the light duty vehicle fleet, the number of electric vehicles (EVs) in use is still insignificant. One reason for the modest adoption figures is that the mass acceptance of EVs to a large extent is reliant on consumers’ perception of EVs. This paper presents a comprehensive overview of the drivers for and barriers against consumer adoption of plug-in EVs, as well as an overview of the theoretical perspectives that have been utilized for understanding consumer intentions and adoption behavior towards EVs. In addition, we identify gaps and limitations in existing research and suggest areas in which future research would be able to contribute.

788 citations

Journal ArticleDOI
TL;DR: In this paper, a comprehensive review of energy storage technologies that are currently engaged for power applications, including pumped hydro, compressed-air, battery, flywheel, capacitor, supercapacitor, superconducting magnetic and thermal systems, is presented.

521 citations

Journal ArticleDOI
TL;DR: In this article, a case study using GPS-based travel survey data collected in the greater Seattle metropolitan area shows that electric miles and trips could be significantly increased by installing public chargers at popular destinations, with a reasonable infrastructure investment.
Abstract: This paper studies electric vehicle charger location problems and analyzes the impact of public charging infrastructure deployment on increasing electric miles traveled, thus promoting battery electric vehicle (BEV) market penetration. An activity-based assessment method is proposed to evaluate BEV feasibility for the heterogeneous traveling population in the real world driving context. Genetic algorithm is applied to find (sub)optimal locations for siting public charging stations. A case study using the GPS-based travel survey data collected in the greater Seattle metropolitan area shows that electric miles and trips could be significantly increased by installing public chargers at popular destinations, with a reasonable infrastructure investment.

451 citations

Journal ArticleDOI
01 Sep 2017-Energies
TL;DR: In this paper, the authors predict the cost of a battery pack in 2030 when considering two aspects: firstly a decade of research will ensure an improvement in material sciences altering a battery's chemical composition.
Abstract: The negative impact of the automotive industry on climate change can be tackled by changing from fossil driven vehicles towards battery electric vehicles with no tailpipe emissions. However their adoption mainly depends on the willingness to pay for the extra cost of the traction battery. The goal of this paper is to predict the cost of a battery pack in 2030 when considering two aspects: firstly a decade of research will ensure an improvement in material sciences altering a battery’s chemical composition. Secondly by considering the price erosion due to the production cost optimization, by maturing of the market and by evolving towards to a mass-manufacturing situation. The cost of a lithium Nickel Manganese Cobalt Oxide (NMC) battery (Cathode: NMC 6:2:2 ; Anode: graphite) as well as silicon based lithium-ion battery (Cathode: NMC 6:2:2 ; Anode: silicon alloy), expected to be on the market in 10 years, will be predicted to tackle the first aspect. The second aspect will be considered by combining process-based cost calculations with learning curves, which takes the increasing battery market into account. The 100 dollar/kWh sales barrier will be reached respectively between 2020-2025 for silicon based lithium-ion batteries and 2025–2030 for NMC batteries, which will give a boost to global electric vehicle adoption.

410 citations