scholarly journals A socio-psychological modal choice approach to modelling mobility and energy demand for electric vehicles

2020 ◽  
Vol 3 (S1) ◽  
Author(s):  
Khoa Nguyen ◽  
René Schumann
Keyword(s):  
Energy Demand ◽  
Supply And Demand ◽  
Stochastic Approach ◽  
Social Characteristics ◽  
Limited Information ◽  
Demand Model ◽  
Modal Choice ◽  
Charging Infrastructure ◽  
Human Decision ◽  
Electro Mobility

Abstract The development of efficient electric vehicle (EV) charging infrastructure requires modelling of consumer demand at an appropriate level of detail. Since only limited information about real customers is available, most simulations employ a stochastic approach by combining known or estimated business features (e.g. arrival and departure time, requested amount of energy) with random variations. However, these models in many cases do not include factors that deal with the social characteristics of EV users, while others do not emphasise on the economic elements. In this work, we introduced a more detailed demand model employing a modal choice simulation framework based on Triandis’ Theory of Interpersonal Behaviour, which can be calibrated by empirical data and is capable of combining a diverse number of determinants in human decision-making. By applying this model on Switzerland mobility domain, an analysis on three of the most popular EV incentives from both supply and demand sides is provided, which aims for a better understanding of electro-mobility systems by relating its causes and effects.

scholarly journals Establishment and prediction of energy demand model in Yunnan Province based on spatial nodes

2021 ◽  
Vol 293 ◽  
pp. 02061
Author(s):  
Liu Siyang ◽  
Wei Zirui ◽  
Qian Wen ◽  
Chen Yu ◽  
Liu Qian ◽  
...  
Keyword(s):  
Energy Demand ◽  
Yunnan Province ◽  
Model Simulation ◽  
Supply And Demand ◽  
Thermal Power ◽  
Electricity Consumption ◽  
Demand Model ◽  
Total Energy Consumption ◽  
Coal Consumption ◽  
Set Up

Energy demand is closely related to energy price, GDP and population. By using the shortest path algorithm and K-means clustering, we set up the spatial nodes, and carried out the model simulation to predict the energy demand of Yunnan Province. The results show that the total energy consumption of Yunnan Province will still show an upward trend from 2020 to 2015; hydropower silicon integration projects in Yunnan Province, the power supply and demand situation in Yunnan Province will change from oversupply to basic balance between supply and demand, and the role of thermal power in dry season will be played to make the decline of coal consumption tend to be smooth; from 2020 to 2025, Yunnan’s electricity consumption will increase by about 8.02% year-on-year. However, according to the commissioning of some projects, the total electricity consumption in the province will be about 192.9 billion kwh in 2020, with a yearon-year increase of 12.3%.

scholarly journals Using Agent-Based Customer Modeling for the Evaluation of EV Charging Systems

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2858 ◽  
Author(s):  
Tobias Rodemann ◽  
Tom Eckhardt ◽  
René Unger ◽  
Torsten Schwan
Keyword(s):  
Stochastic Approach ◽  
Customer Behavior ◽  
Limited Information ◽  
Charging Infrastructure ◽  
Charging System ◽  
Simulated Performance ◽  
Agent Simulation ◽  
Multi Agent ◽  
Customer Model ◽  
Ev Charging

The development of efficient electric vehicle (EV) charging infrastructure requires a modeling of customer behavior at an appropriate level of detail. Since only limited information about real customers is available, most simulation approaches employ a stochastic approach by combining known or estimated customer features with random variations. A typical example is to model EV charging customers by an arrival and a targeted departure time, plus the requested amount of energy or increased state of charge (SoC), where values are drawn from normal (Gaussian) distributions with mean and variance values derived from user studies of obviously limited sample size. In this work, we compare this basic approach with a more detailed customer model employing a multi-agent simulation (MAS) framework in order to investigate how a customer behavior that responds to external factors (like weather) or historical data (like satisfaction in past charging sessions) impacts the essential key performance indicators of the charging system. Our findings show that small changes in the way customers are modeled can lead to quantitative and qualitative differences in the simulated performance of EV charging systems.

Solar Renewable Energy Credit Price Volatility and Investment Returns: Have Policies Stranded Capital Investment?

Commonwealth ◽  
2017 ◽  
Vol 19 (1) ◽  
Author(s):  
Somayeh Youssefi ◽  
Patrick L. Gurian
Keyword(s):  
Solar Energy ◽  
Capital Investment ◽  
Supply And Demand ◽  
Price Volatility ◽  
The United States ◽  
Investment Model ◽  
Capital Investments ◽  
Demand Model ◽  
Market Prices ◽  
Investment Returns

Pennsylvania is one of a number of U.S. states that provide incentives for the generation of electricity by solar energy through Solar Renewal Energy Credits (SRECs). This article develops a return on investment model for solar energy generation in the PJM (mid-­Atlantic) region of the United States. Model results indicate that SREC values of roughly $150 are needed for residential scale systems to break even over a 25-­year project period at 3% interest. Market prices for SRECs in Pennsylvania have been well below this range from late 2011 through the first half of 2016, indicating that previous capital investments in solar generation have been stranded as a result of steep declines in the value of SRECs. A simple conceptual supply and demand model is developed to explain the sharp decline in market prices for SRECs. Also discussed is a possible policy remedy that would add unsold SRECs in a given year to the SREC quota for the subsequent year.

The impact of regulations on labor markets in the U.S.

2019 ◽  
Vol 1 (1) ◽  
pp. 36-40
Author(s):  
Souad Adnane
Keyword(s):  
Supply And Demand ◽  
Demand Model ◽  
Lead Teachers ◽  
Associate's Degree ◽  
Childcare Workers ◽  
Educational Requirements ◽  
The Cost ◽  
Women's Labor Force Participation ◽  
The Impact ◽  
The U.S

The District of Columbia (DC) Office of the Superintendent of Education (OSSE) issued in December 2016 new educational requirements for childcare workers, according to which, all childcare center directors in the District must earn a bachelor’s degree by December 2022 and all lead teachers an associate’s degree by December 2020 (Institute for Justice, 2018). Moreover, DC has one of the lowest staff-child ratios in the country. How are regulations pertaining to childcare workers’ qualifications and staff-child ratio affecting the childcare market in DC? The present paper is an attempt to answer this question first by analyzing the effects of more stringent regulations on the cost and availability of childcare in the U.S based on existing studies. It also uses the basic supply and demand model to examine the possible impact of the new DC policy on the cost, quality and supply of childcare in the District and how it will affect working parents, especially mothers. Next, the paper discusses the impact of deregulation based on simulations and regressions conducted by studies covering the U.S., and implications for quality. It concludes that more stringent childcare regulations, regarding educational requirements and staff-child ratios, are associated with a reduced number of childcare centers and a higher cost, and eventually affects women’s labor force participation.

Monitoring and validation of decentralised water and wastewater systems for increased uptake

2013 ◽  
Vol 67 (11) ◽  
pp. 2576-2581 ◽  
Author(s):  
A. K. Sharma ◽  
S. Cook ◽  
M. N. Chong
Keyword(s):  
Case Studies ◽  
Energy Demand ◽  
Climate Change Impacts ◽  
Extended Period ◽  
Design Guidelines ◽  
Limited Information ◽  
Actual Performance ◽  
Decentralised Systems ◽  
Wastewater Systems ◽  
Water And Wastewater

Decentralised water and wastewater systems are being implemented to meet growing demand for municipal services either in combination with centralised systems or as standalone systems. In Australia, there has been increased investment in decentralised water and wastewater systems in response to the capacity constraints of existing centralised systems, an extended period of below average rainfall, uncertainly in traditional water sources due to potential climate change impacts, and the need to reduce the environmental impact of urban development. The implementation of decentralised water systems as a mainstream practice at different development scales is impeded by the knowledge gaps on their actual performance in a range of development types and settings. As the wide-spread uptake of these approaches in modern cities is relatively new compared to centralised approaches, there is limited information available on their planning, design, implementation, reliability and robustness. This paper presents a number of case studies where monitoring studies are under way to validate the performance of decentralised water and wastewater systems. The results from these case studies show the yield and reliability of these decentralised systems, as well as the associated energy demand and ecological footprint. The outputs from these case studies, and other monitoring studies, are important in improving decentralised system design guidelines and developing industry wide management norms for the operation and maintenance of decentralised systems.

A total energy demand model of Québec

1995 ◽  
Vol 17 (2) ◽  
pp. 163-171 ◽  
Author(s):  
E. Arsenault ◽  
J.-T. Bernard ◽  
C.W. Carr ◽  
E. Genest-Laplante
Keyword(s):  
Total Energy ◽  
Energy Demand ◽  
Demand Model

scholarly journals Islamist Women as Candidates in Elections: A Comparison of the Party of Justice and Development in Morocco and the Muslim Brotherhood in Egypt

2017 ◽  
Vol 57 (3-4) ◽  
pp. 329-359 ◽  
Author(s):  
Katarína Škrabáková
Keyword(s):  
Supply And Demand ◽  
Muslim Brotherhood ◽  
Candidate Selection ◽  
Demand Model ◽  
Mena Region ◽  
External Interference ◽  
Female Candidates ◽  
The Muslim Brotherhood ◽  
Supply And Demand Model ◽  
The Impact

This paper examines the legislative recruitment of women from conservative Islamist parties. It questions the common assumption that generally all Islamist parties are equally hostile to political participation and representation of women. For this purpose, two of the electorally most successful Islamist groups in the MENA region are compared, namely the Egyptian Muslim Brotherhood (MB) and its Moroccan offshoot, the Party of Justice and Development (PJD). The article seeks an explanation for diverging trends in female candidacy between these conservative religious movements, using the traditional supply and demand model of candidate selection. It argues that the less centralized and the more institutionalized parties (as is the case with the PJD) seem to be better equipped to facilitate women’s candidacy than the more oligarchic ones (the MB). In order to fully grasp the reasons behind the diverging trends in the nomination of female candidates from both Islamist parties, cultural factors are scrutinized as well. The article highlights the limits of the supply and demand model of candidate selection, which cannot explain instances of unexpected change in recruitment strategies based on external interference. Furthermore, it does not provide us the means to assess the impact of individual candidates’ ‘feminist credentials’ on overall female representation.


Primary Energy System Chain Security Under the Energy Transition

2021 ◽  
Author(s):  
Osamah Alsayegh
Keyword(s):  
Electric Vehicles ◽  
Energy Demand ◽  
Oil And Gas ◽  
Supply And Demand ◽  
Energy Transition ◽  
System Security ◽  
Energy System ◽  
Primary Energy ◽  
Low Carbon ◽  
Low Carbon Energy

Abstract This paper examines the energy transition consequences on the oil and gas energy system chain as it propagates from net importing through the transit to the net exporting countries (or regions). The fundamental energy system security concerns of importing, transit, and exporting regions are analyzed under the low carbon energy transition dynamics. The analysis is evidence-based on diversification of energy sources, energy supply and demand evolution, and energy demand management development. The analysis results imply that the energy system is going through technological and logistical reallocation of primary energy. The manifestation of such reallocation includes an increase in electrification, the rise of energy carrier options, and clean technologies. Under healthy and normal global economic growth, the reallocation mentioned above would have a mild effect on curbing the oil and gas primary energy demands growth. A case study concerning electric vehicles, which is part of the energy transition aspect, is presented to assess its impact on the energy system, precisely on the fossil fuel demand. Results show that electric vehicles are indirectly fueled, mainly from fossil-fired power stations through electric grids. Moreover, oil byproducts use in the electric vehicle industry confirms the reallocation of the energy system components' roles. The paper's contribution to the literature is the portrayal of the energy system security state under the low carbon energy transition. The significance of this representation is to shed light on the concerns of the net exporting, transit, and net importing regions under such evolution. Subsequently, it facilitates the development of measures toward mitigating world tensions and conflicts, enhancing the global socio-economic wellbeing, and preventing corruption.

Sign in / Sign up

Export Citation Format

Share Document