scholarly journals Redefining Goods Movement: Building an Ecosystem for the Introduction of Heavy-Duty Battery-Electric Vehicles

2021 ◽  
Vol 12 (3) ◽  
pp. 147
Author(s):  
Dawn Fenton ◽  
Aravind Kailas
Keyword(s):  
Electric Vehicles ◽  
Market Development ◽  
Lead Times ◽  
Heavy Duty ◽  
Charging Infrastructure ◽  
Goods Movement ◽  
Movement Building ◽  
The Government ◽  
The Many ◽  
Development Incentives

This article reviews the Volvo Low-Impact Heavy Green Transport Solution (LIGHTS) project, a multifaceted public–private partnership in Southern California, and provides some early insights and a model for successful fleet adoption of Class 8 battery-electric trucks. This paradigm shift in commercial trucking is emerging, forcing greater interdependence among many stakeholders—fleets, %, truck manufacturers, and policymakers—not currently engaged in the traditional heavy-duty commercial truck market. The many perspectives from this article such as lead times and costs associated with the deployment of charging infrastructure, developing the workforce to support largescale deployments, and the need for market development incentives from the government can be used to inform the programs and policies of California and other states seeking to follow their lead.

ARTIFICIAL NEURAL NETWORK FOR LONG TERM LOAD FORECASTING IN UTTARAKHAND STATE: A CASE STUDY

2021 ◽  
pp. 55-56
Author(s):  
Rakesh Kumar ◽  
Rakesh Ranjan ◽  
Mukesh Verma
Keyword(s):  
Neural Network ◽  
Electric Vehicles ◽  
New Technologies ◽  
Load Forecasting ◽  
Consumption Pattern ◽  
Hydro Power ◽  
Charging Infrastructure ◽  
The Government ◽  
New Infrastructure

Electricity is one of the essential part of our life. With the increase in consumption of resources the demand of electricity is also increased. Uttarakhand as hilly state is approaching towards implementation of new Technologies and Techniques in the area of growth and suistainable development. Due to the implementation of better road infrastructure, tourism connectivity and IoT devices in various projects and inclusion of electric vehicles and their charging infrastructure in Uttarakhand State the demand of electricity has also increased. The Uttarakhand State has planned the establishment of new infrastructure by providing relaxation on various taxes and option of subsidy to investors. The exemption on xed electricity charges is provided to investors in Uttarakhand. The highest part of Electricity Generation is based on Hydro Power in Uttarakhand. By establishment of new infrastructure in Uttarakhand it would be a thrust to load generation companies to produce demanded of electricity on time. In this study the long-term load forecasting from 2022 to 2030 is analysed using Articial Neural Network. The input data is received from Uttarakhand Electricity Regulatory Commission and Uttarakhand Power Corporation Limited. The prediction is based on last 10 years data of historical load, GDP, Population, and past two years data of electric vehicles, and charging infrastructure. In this study, it has reported that by 2030 there would be huge change in infrastructure and most of diesel and petrol vehicles would come on electric vehicles. This study is focused on the Long-Term Load Forecasting in Uttarakhand State where electric vehicles and charging infrastructure load requirement is also calculated. Using Deep Learning Technique in this paper Articial Neural Network is used for forecasting the results. This tool is used to identify the consumption pattern of electricity in Uttarakhand State for further nine years from 2022 to 2030. The Government of Uttarakhand has planned Vision 2030 for the sustainable development in Uttarakhand.

scholarly journals Determining policy recommendations towards electric vehicles incentives in Jakarta using AHP-Entropy

2021 ◽  
Vol 927 (1) ◽  
pp. 012007
Author(s):  
Arighi Radevito ◽  
Dannya Maharani Putri Utami
Keyword(s):  
Electric Vehicles ◽  
Entropy Method ◽  
Capital City ◽  
The Sustainable Development ◽  
Charging Infrastructure ◽  
Incentive Policy ◽  
Consumer Benefits ◽  
Environmental Failures ◽  
Effective Policy ◽  
The Government

Abstract One solution for diminishing carbon outflows is to provide electric vehicles (EV), which can help the sustainable development of the ecosystem in an environmentally way. Jakarta, as a capital city with high levels of pollution, has forced the government to recognize the need for policymakers to correct environmental failures through effective policy solutions. To support policy-driven adoption of EV, incentives shall be given to stimulate EV users. Current regulations have not yet explained regulations for EV’s, direct and indirect consumer benefits, infrastructure for charging, and complementary policies. This paper will compare the world’s best EV policy which will determine the main policy criteria to be developed for Jakarta’s regulation using the analytical hierarchy process and entropy method in giving scaled preferences of sets of standards and alternatives with acceptable inconsistency. AHP is used to determine initial subjective weights from experts, while then entropy will enhance AHP’s weights into objective weight. This study shows that charging infrastructure is the most influential criterion among other criteria followed by consumer incentive, both direct and indirect, complimentary policies, and regulatory incentives. Therefore, it is highly recommended that Jakarta’s government develop EV’s incentive policy in detail as the order above.

scholarly journals The Measures of State Support for the Development of Electric Vehicles in Germany

2021 ◽  
Vol 20 (2) ◽  
pp. 93-99
Author(s):  
Andrey Sobolev ◽  
◽  
Dmitriy Poptsov ◽  
Keyword(s):  
Electric Vehicles ◽  
Financial Incentives ◽  
Financial Support ◽  
Federal Republic Of Germany ◽  
Charging Infrastructure ◽  
Support Measures ◽  
Separate Area ◽  
Direct Payments ◽  
The Government ◽  
Main Support

The development of electromobility is currently the focus of the government of the Federal Republic of Germany. To stimulate the transition to new types of environmentally friendly and climate-neutral transport, various measures of financial support are used – both direct payments and tax preferences. A separate area of work is the introduction of modern charging infrastructure. Much attention is paid to building up research and development competencies in these areas. The article provides an overview of the main support measures in force for electromobility in Germany. It is concluded that the transition to climate neutral transport is possible with a combination of both direct financial incentives and large government investments in new charging infrastructure.

scholarly journals A Study on the Adoption of Electric Vehicles in India: The Mediating Role of Attitude

2019 ◽  
Vol 24 (1) ◽  
pp. 23-34
Author(s):  
Anil Khurana ◽  
V. V. Ravi Kumar ◽  
Manish Sidhpuria
Keyword(s):  
Electric Vehicles ◽  
Internal Combustion Engines ◽  
Charging Infrastructure ◽  
Electric Cars ◽  
Mediating Role ◽  
Electric Car ◽  
Toxic Emission ◽  
Range Anxiety ◽  
Fossil Fuel Emission ◽  
The Government

Pollution of the environment is currently a global concern. Toxic emission from internal combustion engines is one of the primary air pollutants. In order to mitigate the effects of fossil fuel emission and address environmental concerns (ECs), electric vehicles (EVs) are being promoted aggressively all over the world. Various governments are encouraging people to switch to EVs by incentivizing the transition. Previous studies indicate that the high cost of the electric car, non-availability of charging infrastructure, time and range anxiety act as impediments to consumer adoption. The Government of India has given a call for ‘only Electric Vehicles’ on Road by 2030. This article is contemporary and examines the different factors that affect a consumer’s adoption of an EV. The respondents of the study are existing car owners in India. The data were analysed using Structured Equation Modelling (SEM). Attitude (ATT) emerged as a strong mediator, influencing the adoption of electric cars.

Public Investment Criteria: Benefit-Cost Analysis for Planned Economic Growth by Stephen A. Marglin. London: George Allen & Unwin Ltd., 1967. pp.103. 22s. 6d.********** Investments for Capacity Expansion: Size, Location and Time-Phasing edited by Alan S. Manne. London: George Allen & Unwin Ltd., 1967. pp.239. 45s.Investments for Capacity Expansion: Size, Location and Time-Phasing edited by Alan S. Manne. London: George Allen & Unwin Ltd., 1967. pp.239. 45s.

1967 ◽  
Vol 7 (3) ◽  
pp. 416-420
Author(s):  
Arthur MacEwan
Keyword(s):  
Cost Benefit Analysis ◽  
Public Investment ◽  
Cost Benefit ◽  
Capacity Expansion ◽  
Point Of View ◽  
Systematic Analysis ◽  
Benefit Cost Analysis ◽  
The Government ◽  
The Many ◽  
Benefit Cost

These books are numbers 4 and 5, respectively, in the series "Studies in the Economic Development of India". The two books are interesting complements to one another, both being concerned with the analysis of projects within national plan formulation. However, they treat different sorts of problems and do so on very different levels. Marglin's Public Investment Criteria is a short treatise on the problems of cost-benefit analysis in an Indian type economy, i.e., a mixed economy in which the government accepts a large planning responsibility. The book, which is wholely theoretical, explains the many criteria needed for evaluation of projects. The work is aimed at beginning students and government officials with some training in economics. It is a clear and interesting "introduction to the special branch of economics that concerns itself with systematic analysis of investment alternatives from the point of view of a government".

Big Data in the philippines: How do we actually use them?

2021 ◽  
pp. 1-30
Author(s):  
Lisa Grace S. Bersales ◽  
Josefina V. Almeda ◽  
Sabrina O. Romasoc ◽  
Marie Nadeen R. Martinez ◽  
Dannela Jann B. Galias
Keyword(s):  
Big Data ◽  
High Speed ◽  
The Philippines ◽  
Complex Data ◽  
Official Statistics ◽  
Group Discussions ◽  
The Public ◽  
The Government ◽  
The Many ◽  
Current Utilization

With the advancement of technology, digitalization, and the internet of things, large amounts of complex data are being produced daily. This vast quantity of various data produced at high speed is referred to as Big Data. The utilization of Big Data is being implemented with success in the private sector, yet the public sector seems to be falling behind despite the many potentials Big Data has already presented. In this regard, this paper explores ways in which the government can recognize the use of Big Data for official statistics. It begins by gathering and presenting Big Data-related initiatives and projects across the globe for various types and sources of Big Data implemented. Further, this paper discusses the opportunities, challenges, and risks associated with using Big Data, particularly in official statistics. This paper also aims to assess the current utilization of Big Data in the country through focus group discussions and key informant interviews. Based on desk review, discussions, and interviews, the paper then concludes with a proposed framework that provides ways in which Big Data may be utilized by the government to augment official statistics.

scholarly journals To Represent Electric Vehicles in Electricity Systems Modelling—Aggregated Vehicle Representation vs. Individual Driving Profiles

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 539
Author(s):  
Maria Taljegard ◽  
Lisa Göransson ◽  
Mikael Odenberger ◽  
Filip Johnsson
Keyword(s):  
Electric Vehicles ◽  
Investment Model ◽  
Research Issues ◽  
Charging Infrastructure ◽  
Vehicle To Grid ◽  
Long Term Storage ◽  
Electricity System ◽  
Home Location ◽  
The Individual ◽  
Storage Technologies

This study describes, applies, and compares three different approaches to integrate electric vehicles (EVs) in a cost-minimising electricity system investment model and a dispatch model. The approaches include both an aggregated vehicle representation and individual driving profiles of passenger EVs. The driving patterns of 426 randomly selected vehicles in Sweden were recorded between 30 and 73 days each and used as input to the electricity system model for the individual driving profiles. The main conclusion is that an aggregated vehicle representation gives similar results as when including individual driving profiles for most scenarios modelled. However, this study also concludes that it is important to represent the heterogeneity of individual driving profiles in electricity system optimisation models when: (i) charging infrastructure is limited to only the home location in regions with a high share of solar and wind power in the electricity system, and (ii) when addressing special research issues such as impact of vehicle-to-grid (V2G) on battery health status. An aggregated vehicle representation will, if the charging infrastructure is limited to only home location, over-estimate the V2G potential resulting in a higher share (up to 10 percentage points) of variable renewable electricity generation and an under-estimation of investments in both short- and long-term storage technologies.

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