Agent-Based Simulation for Consumers’ Behavior Mode on Low-Carbon Buildings

2014 ◽  
Vol 962-965 ◽  
pp. 1524-1528
Author(s):  
Fu Qun
Keyword(s):  
Evolutionary Theory ◽  
Evolutionary Models ◽  
Low Carbon ◽  
Agent Based Simulation ◽  
Agent Based ◽  
The World ◽  
New Energy ◽  
The Commons ◽  
Energy Consuming ◽  
People’S Attitudes

Transitioning to purchasing low carbon buildings is vital for pro-environment because it consume less energy. Consumers’ attitudes may fall into three categories: Supportive, opposed and neutral. By simulating the agents’ behaviors based on evolutionary models which believes that buying low carbon buildings can reduce energy consuming and protect environment. At the same time, it assumes environment is shared by all the agents and those against the low carbon won’t receive penalty. Human being can exploit renewable and new energy with developed technology. Evolutionary theory explains people who get energy will affect people’s attitudes around them, while those lack of energy will change their behaviors. Research proves that opponents will dominant in the world without punishments and their behaviors increase pollution. So it is necessary to improve social education and let government to take administrative compulsory measures or legislate in order to get rid of “tragedy of the commons” produced by consuming non-low carbon buildings.

National Policies to Promote Renewable Energy

Daedalus ◽  
2012 ◽  
Vol 141 (2) ◽  
pp. 105-110 ◽  
Author(s):  
Mohamed T. El-Ashry
Keyword(s):  
Climate Change ◽  
Renewable Energy ◽  
Energy Security ◽  
Low Carbon ◽  
Energy Access ◽  
Renewable Energy Resources ◽  
The World ◽  
New Energy ◽  
Main Driver ◽  
Low Carbon Energy

The world is entering a new energy era marked by concerns over energy security, climate change, and access by the poor to modern energy services. Yet the current energy path is not compatible with sustainable development objectives. Global demand for energy will continue to grow; so will CO2 emissions. Achieving a low-carbon energy world will require an unprecedented technological transformation in the way energy is produced and used. That transformation has begun, as renewables capacity continues to grow, prices continue to fall, and shares of global energy from renewables continue to increase. Government policies are the main driver behind renewable energy's meteoric growth. Still, the world is tapping only a small amount of the vast supply of renewable energy resources. There is broad consensus that the role of these resources should be expanded significantly in order to meaningfully address energy security, energy access, and climate change.

scholarly journals Agent-Based Simulation for Evaluation of Contact-Tracing Policies Against the Spread of SARS-CoV-2

2020 ◽  
Author(s):  
Martin Bicher ◽  
Claire Rippinger ◽  
Christoph Urach ◽  
Dominik Brunmeir ◽  
Uwe Siebert ◽  
...  
Keyword(s):  
Case Studies ◽  
Exploratory Analysis ◽  
Contact Tracing ◽  
Agent Based Simulation ◽  
Effective Measure ◽  
Agent Based ◽  
The World ◽  
Different Characteristics ◽  
Second Wave ◽  
Restrictive Policy

AbstractThe decline of active COVID-19 cases in many countries in the world has proved that lockdown policies are indeed a very effective measure to stop the exponential spread of the virus. Still, the danger of a second wave of infections is omnipresent and it is clear, that every policy of the lockdown has to be carefully evaluated and possibly replaced by a different, less restrictive policy, before it can be lifted. Tracing of contacts and consequential tracing and breaking of infection-chains is a promising and comparably straightforward strategy to help containing the disease, although its precise impact on the epidemic is unknown. In order to quantify the benefits of tracing and similar policies we developed an agent-based model that not only validly depicts the spread of the disease, but allows for exploratory analysis of containment policies. We will describe our model and perform case studies in which we use the model to quantify impact of contact tracing in different characteristics and draw valuable conclusions about contact tracing policies in general.

scholarly journals Inertial confinement fusion and prospects for power production

2015 ◽  
Vol 3 ◽  
Author(s):  
C.B. Edwards ◽  
C.N. Danson
Keyword(s):  
Energy Demand ◽  
Inertial Confinement Fusion ◽  
Energy Gap ◽  
Fusion Energy ◽  
Inertial Confinement ◽  
Low Carbon ◽  
Sustainable Solutions ◽  
The World ◽  
New Energy ◽  
Confinement Fusion

As our understanding of the environmental impact of fossil fuel based energy production increases, it is becoming clear that the world needs a new energy solution to meet the challenges of the future. A transformation is required in the energy market to meet the need for low carbon, sustainable, affordable generation matched with security of supply. In the short term, an increasing contribution from renewable sources may provide a solution in some locations. In the longer term, low carbon, sustainable solutions must be developed to meet base load energy demand, if the world is to avoid an ever increasing energy gap and the attendant political instabilities. Laser-driven inertial fusion energy (IFE) may offer such a solution.

Installed Capacity Prediction of Biomass Power Generation in China Based on Gray Dynamic Model

2013 ◽  
Vol 291-294 ◽  
pp. 221-224
Author(s):  
Zhi Bin Liu ◽  
Ai Sheng Ren ◽  
Li Wei Hou
Keyword(s):  
Power Generation ◽  
Global Warming ◽  
Energy Structure ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
The World ◽  
New Energy ◽  
Installed Capacity ◽  
Capacity Prediction ◽  
Carbon Economy

The low-carbon economy is attention increasingly all over the world, and which has become the best economic mode to cope with global warming. And it is the important way to achieve the low carbon economy, optimize the energy structure through developing the biomass power generation and other new energy. In recent years, the development of biomass power generation in China is rapid, there are also some problems. Therefore, it is necessary to predict the biomass power generation industry development, especially the installed capacity of biomass power generation. In this paper, the authors used the GM (1, 1) model to predict the installed capacity of biomass power generation, which can reveal the evolution of things under the circumstances of less data and less information. The installed capacity prediction from 2011 to 2020 showed that the results given by this model were reliable, and it is feasible to predict the installed capacity of biomass power generation.

scholarly journals Using Agent-based Simulation for Safety: Fact-finding about a crowd accident to improve public space design

2020 ◽  
Vol 5 ◽  
pp. A88
Author(s):  
Yuanyuan Liu ◽  
Toshiyuki Kaneda
Keyword(s):  
Public Space ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Urban Public Space ◽  
Original Space ◽  
Space Design ◽  
The World ◽  
The Media ◽  
Fact Finding ◽  
Public Space Design

With the growing city density and large gatherings happening all over the world, crowd safety has become a new topic. This research discusses how to diagnosis and improve crowd safety in urban public space by analysing a real crowd accident that happened in Shanghai in 2014 using an agent-based simulator. Fact-finding analysis shows that insufficient capacity of the whole area, density difference in bottleneck stairs and lack of separation measurements in front of bottleneck stairs are the main causes of the accident. According to the media query towards the original space plan, we made two alternative plans in the bottleneck area and tested their performances.

A national strategy for a low-carbon economy: The contribution of regional development planning

2017 ◽  
Vol 28 (1) ◽  
pp. 57-76
Author(s):  
Patrick Troy
Keyword(s):  
Sustainable Development ◽  
Regional Development ◽  
Mineral Resources ◽  
Development Planning ◽  
Low Carbon ◽  
Urban And Regional Planning ◽  
Low Carbon Economy ◽  
Environmentally Sustainable ◽  
New Energy ◽  
The Commons

Planning for a low-carbon future in Australia will need to address simultaneously three aspects of sustainable development: centralisation/regional development, mobility and communication. After reviewing existing roadmaps for low-carbon growth by 2050, the article identifies the importance for Australia of an integrated and mutually reinforcing set of measures, based on a bold approach to urban and regional planning. Taking account of national geography, the approach is based on the decentralisation of energy production, use and storage, and on new uses of communication, transport and the location of food, water and mineral resources. Revitalised regional centres could be connected, through new energy and transport solutions, by a national transport arc and electrified highways. The use of infrastructure funding to support low-carbon regional development would avoid the ‘tragedy of the commons’, transcending incremental, cumulative approaches based on compensation and incentives for household, business and sectoral abatement efforts. It would generate long-term environmentally sustainable development.

INCENTIVE POLICIES TO ADDRESS CLIMATE CHANGE IN CHINA

2012 ◽  
Vol 09 (04) ◽  
pp. 1250031 ◽  
Author(s):  
JUN JIN ◽  
YING DONG ◽  
JIN CHEN
Keyword(s):  
Climate Change ◽  
Energy Industry ◽  
Low Carbon ◽  
Address Climate Change ◽  
Catching Up ◽  
The World ◽  
New Energy ◽  
Incentive Policies ◽  
New Energy Vehicle ◽  
New Energy Vehicles

China has launched a set of policies and projects to address climate change, one of the most serious problems in the world. This paper reviews the Chinese policies and national plans on the encouragement of environmentally beneficial and energy-saving innovations. Policies on the energy industry and the development of new energy vehicle industry are taken as cases to illustrate in detail the Chinese policies on climate change. The research reveals that actions on the low carbon innovation, such as the innovation on new energy vehicles, not only benefit the dealing with climate change, but also contribute to the strategies of catching up advanced countries.

scholarly journals Agent-Based Simulation Framework for Epidemic Forecasting during Hajj Seasons in Saudi Arabia

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 325
Author(s):  
Sultanah Mohammed Alshammari ◽  
Mohammed Hassan Ba-Aoum ◽  
Nofe Ateq Alganmi ◽  
Arwa AbdulAziz Allinjawi
Keyword(s):  
Public Health ◽  
Saudi Arabia ◽  
Disease Transmission ◽  
Simulation Framework ◽  
Agent Based Simulation ◽  
Agent Based ◽  
The World ◽  
Hajj Season ◽  
The Impact ◽  
Epidemic Forecasting

The religious pilgrimage of Hajj is one of the largest annual gatherings in the world. Every year approximately three million pilgrims travel from all over the world to perform Hajj in Mecca in Saudi Arabia. The high population density of pilgrims in confined settings throughout the Hajj rituals can facilitate infectious disease transmission among the pilgrims and their contacts. Infected pilgrims may enter Mecca without being detected and potentially transmit the disease to other pilgrims. Upon returning home, infected international pilgrims may introduce the disease into their home countries, causing a further spread of the disease. Computational modeling and simulation of social mixing and disease transmission between pilgrims can enhance the prevention of potential epidemics. Computational epidemic models can help public health authorities predict the risk of disease outbreaks and implement necessary intervention measures before or during the Hajj season. In this study, we proposed a conceptual agent-based simulation framework that integrates agent-based modeling to simulate disease transmission during the Hajj season from the arrival of the international pilgrims to their departure. The epidemic forecasting system provides a simulation of the phases and rituals of Hajj following their actual sequence to capture and assess the impact of each stage in the Hajj on the disease dynamics. The proposed framework can also be used to evaluate the effectiveness of the different public health interventions that can be implemented during the Hajj, including size restriction and screening at entry points.

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