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Benjamin Mclellan   Dr.  University Lecturer 
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Benjamin Mclellan published an article in September 2018.
Top co-authors See all
Hiroshi Takagi

141 shared publications

Tokyo Institute of Technology, Tokyo, Japan

Keiichi Ishihara

52 shared publications

Department of Pathological Biochemistry; Kyoto Pharmaceutical University; Kyoto Japan

Yusuke Kishita

30 shared publications

Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

Kamonphorn Kanchana

4 shared publications

Kyoto University

Xu Tang

2 shared publications

60
Publications
15
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0
Downloads
232
Citations
Publication Record
Distribution of Articles published per year 
(2005 - 2018)
Publications See all
Article 0 Reads 1 Citation Modeling shared autonomous electric vehicles: Potential for transport and power grid integration Riccardo Iacobucci, Benjamin McLellan, Tetsuo Tezuka Published: 01 September 2018
Energy, doi: 10.1016/j.energy.2018.06.024
DOI See at publisher website
Article 0 Reads 0 Citations The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid Riccardo Iacobucci, Benjamin McLellan, Tetsuo Tezuka Published: 02 August 2018
Energies, doi: 10.3390/en11082016
DOI See at publisher website
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The introduction of shared autonomous electric vehicles (SAEVs), expected within the next decade, can transform the car into a service, accelerate electrification of the transport sector, and allow for large scale control of electric vehicle charging. In this work, we investigate the potential for this system to provide aggregated storage when combined with intermittent renewable energy sources. We develop a simulation methodology for the optimization of vehicle charging in the context of a virtual power plant or microgrid, with and without grid connection or distributed dispatchable generators. The model considers aggregate storage availability from vehicles based on transport patterns taking into account the necessary vehicle redistribution. We investigate the case of a grid-connected VPP with rooftop solar and the case of a isolated microgrid with solar, wind, and dispatchable generation. We conduct a comprehensive sensitivity analysis to study the effect of several parameters on the results for both cases.
Article 4 Reads 0 Citations 100% renewable energy system in Japan: Smoothening and ancillary services Miguel Esteban, Joana Portugal-Pereira, Benjamin C. McLellan... Published: 01 August 2018
Applied Energy, doi: 10.1016/j.apenergy.2018.04.067
DOI See at publisher website
BOOK-CHAPTER 0 Reads 0 Citations Limits to Urbanization: Application of Integrated Assessment for Smart City Development in India Benjamin McLellan, Tania Bhattacharya, Anindya Bhattacharya,... Published: 14 July 2018
Devising a Clean Energy Strategy for Asian Cities, doi: 10.1007/978-981-13-0782-9_3
DOI See at publisher website
Article 4 Reads 0 Citations Estimating Residential Electricity Consumption in Nigeria to Support Energy Transitions Kayode Olaniyan, Seiichi Ogata, Tetsuo Tezuka, Benjamin C. M... Published: 05 May 2018
Sustainability, doi: 10.3390/su10051440
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Considering the challenge of accessing reliable household metering data in Nigeria, how can electricity consumption levels be determined? And how do disparities in electricity consumption patterns across the country affect the pursuit of sustainability, universal access and energy transition objectives? This study combined household-reported data on ownership of electrical appliances and energy expenditure with online sales records of household appliances to estimate current and future residential electricity demand in Nigeria, as well as the required generation capacity to achieve 100% electricity access, under various scenarios. Median residential electricity consumption was estimated at 18–27 kWh per capita but these estimates vary between the geographical zones with the North East and South West representing extremes. Under a universal access scenario, the future electricity supply system would be expected to have installed generation capacity sufficient to meet the estimated residential demand of 85 TWh. To further understand the required infrastructure investment as a whole and the approaches that might be preferred in rural versus urban areas, the disaggregated, zone-by-zone and urban/rural data may offer more insight than a whole-of-country approach. The data obtained is useful for identifying specific transitions at the sub-national level that can minimize the required investment while maximizing households’ energy access.
Article 3 Reads 0 Citations Provincial Carbon Emissions Reduction Allocation Plan in China Based on Consumption Perspective Xuecheng Wang, Baosheng Zhang, Yang Lv, Xu Tang, Benjamin C.... Published: 26 April 2018
Sustainability, doi: 10.3390/su10051342
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China is a country with substantial differences in economic development, energy consumption mix, resources, and technologies, as well as the development path at the provincial level. Therefore, China’s provinces have different potential and degrees of difficulty to carry out carbon emission reduction (CER) requirements. In addition, interprovincial trade, with a large amount of embodied carbon emissions, has become the fastest growing driver of China’s total carbon emissions. A reasonable CER allocation plan is, therefore, crucial for realizing the commitment that China announced in the Paris Agreement. How to determine a fair way to allocate provincial CER duties has become a significant challenge for both policy-makers and researchers. In this paper, ecological network analysis (ENA), combined with a multi-regional input-output model (MRIO), is adopted to build an ecological network of embodied emissions across 30 provinces. Then, by using flow analysis and utility analysis based on the ENA model, the specific relationships among different provinces were determined, and the amount of responsibility that a certain province should take quantified, with respect to the embodied carbon emission (ECE) flows from interprovincial trade. As a result, we suggest a new CER allocation plan, based on the detailed data of interprovincial relationships and ECE flows.
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