Monitoring Recovery Using Energy Consumption Indices

2007 ◽  
Vol 2 (6) ◽  
pp. 445-452
Author(s):  
Masasuke Takashima* ◽  
◽  
Haruo Hayashi** ◽  
Keyword(s):  
Energy Consumption ◽  
Hurricane Katrina ◽  
Recovery Process ◽  
Night Time ◽  
Catastrophic Event ◽  
Affected Area ◽  
Electric Power Supply ◽  
The Impact ◽  
Recovery Monitoring

A methodology to monitor the socio-economic impact due to a catastrophic event in high spatial resolution, high frequency, and in homogenous manner within the entire affected area is indispensable to maintain an up-to-date overall picture of the event in disaster response/recovery operations. Energy consumption of the affected area is a promising index for long-term recovery monitoring. The energy consumption of an urbanized area strongly correlates with its socioeconomic activity. When an area is urbanized and developed, more energy is required to maintain it. Once a catastrophic event interrupts these activities, energy consumption of the area decreases. We have been studying ways to monitor long-term recovery using electric power supply data and the night time city light imagery data provided by the Defense Meteorological Satellite Program as indices of energy consumption. In this paper, we introduce these methodologies and their application to recovery process monitoring after the Kobe earthquake in Japan and Hurricane Katrina in the U.S. The impact and following recovery process of those two catastrophic events were clearly depicted. These examples have shown both methodologies to be promising in monitoring the spaciotemporal distribution of impact due to events independent of the type of hazard. Recovery monitoring methodologies introduced in this paper provide a way to determine overall trends in recovery of affected areas macroscopically. For concrete policy making and support, a more detailed view is also needed to evaluate recovery conditions of different social and economic sectors and individual households and businesses. Both macroscopic and microscopic viewpoints are needed to appropriate response and recovery operations.

scholarly journals Climate Change and Building Energy Consumption: A Review of the Impact of Weather Parameters Influenced by Climate Change on Household Heating and Cooling Demands of Buildings

2021 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Hassan Bazazzadeh ◽  
Adam Nadolny ◽  
Seyedeh Sara Hashemi Safaei
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Energy Consumption ◽  
Industrial Development ◽  
Building Sector ◽  
Total Energy Consumption ◽  
Heating And Cooling ◽  
Urban Energy ◽  
The Impact

The growth of urban population as the result of economic and industrial development has changed our place of living from a prosperous place to where the resources are carelessly consumed. On the other hand, long-term climate change, i.e. global warming, has had adverse impact on our resources. Certain resources are on the verge of depletion as the consequence of climate change and inconsiderate consumption of resources, unless serious measures are implemented immediately. The building sector, whose share in the municipal energy consumption is considerably high, is a key player that may successfully solve the problem. This paper aims to study the effects of climate change on the energy consumption of buildings and analyze its magnitude to increase the awareness of how construction can reduce the overall global energy consumption. A descriptive-analytical method has been applied to analyze valid models of energy consumption according to different scenarios and to interpret the conditions underlying current and future energy consumption of buildings. The results clearly show that the energy consumption in the building sector increasingly depends on the cooling demand. With that being said, we can expect the reduction of overall energy consumption of buildings in regions with high heating demands, whereas rising the energy consumption in buildings is expected in regions with high cooling demand. To conclude, the long-term climate change (e.g. global warming) underlies the increased energy consumption for the cooling demand whose share in total energy consumption of buildings much outweighs the heating demand. Therefore, to conserve our resources, urban energy planning and management should focus on working up a proper framework of guidelines on how to mitigate the cooling loads in the energy consumption patterns of buildings.

scholarly journals The Long-Term Trend Analysis and Scenario Simulation of the Carbon Price Based on the Energy-Economic Regulation

2020 ◽  
Vol 12 (5) ◽  
pp. 653-668
Author(s):  
Zhao-Peng Li ◽  
Li Yang ◽  
Si-Rui Li ◽  
Xiaoling Yuan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Clean Energy ◽  
Carbon Price ◽  
Energy Development ◽  
Carbon Market ◽  
Content Type ◽  
Price Trends ◽  
The Impact

Purpose China’s national carbon market will be officially launched in 2020, when it will become the world’s largest carbon market. However, China’s carbon market is faced with various major challenges. One of the most important challenges is its impact on the social and economic development of arid and semi-arid regions. By simulating the carbon price trends under different economic development and energy consumption levels, this study aims to help the government can plan ahead to formulate various countermeasures to promote the integration of arid and semi-arid regions into the national carbon market. Design/methodology/approach To achieve this goal, this paper builds a back propagation neural network model, takes the third phase of the European Union Emissions Trading System (EU ETS) as the research object and uses the mean impact value method to screen out the important driving variables of European Union Allowance (EUA) price, including economic development (Stoxx600, Stoxx50, FTSE, CAC40 and DAX), black energy (coal and Brent), clean energy (gas, PV Crystalox Solar and Nordex) and carbon price alternatives Certification Emission Reduction (CER). Finally, this paper sets up six scenarios by combining the above variables to simulate the impact of different economic development and energy consumption levels on carbon price trends. Findings Under the control of the unchanged CER price level, economic development, black energy and clean energy development will all have a certain impact on the EUA price trends. When economic development, black energy consumption and clean energy development are on the rise, the EUA price level will increase. When the three types of variables show a downward trend, except for the sluggish development of clean energy, which will cause the EUA price to rise sharply, the EUA price trend will also decline accordingly in the remaining scenarios. Originality/value On the one hand, this paper incorporates driving factors of carbon price into the construction of carbon price prediction system, which not only has higher prediction accuracy but also can simulate the long-term price trend. On the other hand, this paper uses scenario simulation to show the size, direction and duration of the impact of economic development, black energy consumption and clean energy development on carbon prices in a more intuitive way.

Lessons for Long-Term Residential Recovery: Factors of Community Resilience and Marginalization

2010 ◽  
Vol 5 (2) ◽  
pp. 147-154 ◽  
Author(s):  
Nabil Kamel ◽  
Keyword(s):  
Hurricane Katrina ◽  
Community Resilience ◽  
Recovery Process ◽  
Informal Institutions ◽  
Local Communities ◽  
Northridge Earthquake ◽  
Economic Changes ◽  
Recovery Processes

This paper examines conditions influencing reconstruction and recovery processes following a disaster. The Northridge Earthquake and Hurricane Katrina are illustrative of supra-regional political and economic changes and their effect on local communities during the recovery process. In addition, the paper argues that informal institutions can play an important role in shaping the recovery process and its outcomes.

Into the Bullring: The Significance of “Empathy” after the Earthquake

Fabula ◽  
2017 ◽  
Vol 58 (1-2) ◽  
Author(s):  
Yutaka Suga
Keyword(s):  
Disaster Recovery ◽  
Traditional Culture ◽  
Recovery Process ◽  
Affected Area ◽  
Major Earthquake ◽  
Term Field

Abstract:In 2004, one of my long-term field sites was struck by a major earthquake. Following this event numerous researchers and experts arrived at the region and began executing various recovery projects centered around traditional culture. However, their activities were not purely intended to help the survivors but, rather, cleverly designed for their own benefit. I began to feel very uncomfortable about such efforts and worked to conduct my own activities from a folkloristic perspective based on “empathy,” an approach qualitatively distinct from those of many other researchers. Generally speaking, researchers and experts have sought to be as “objective” as possible and have undervalued empathy, which they have perceived as belonging to the realm of emotion. However, in order to support survivors' strategies for independently regaining livelihoods in the disaster recovery process, it is essential that researchers have empathy for the survivors and sufficiently understand their experiences and values. In this paper, based on my experiences in the disaster-affected area, I discuss both the utility of empathy as a means of understanding survivors as well as the subtle risks associated with such an approach.

Natural Disaster and Crisis: Lessons Learned about Cleft and Craniofacial Care from Hurricane Katrina and the West Bank

2011 ◽  
Vol 48 (6) ◽  
pp. 741-749 ◽  
Author(s):  
John A. Van Aalst ◽  
Ronald P. Strauss ◽  
Lynn Fox ◽  
Cynthia H. Cassell ◽  
Margot Stein ◽  
...  
Keyword(s):  
Hurricane Katrina ◽  
Disaster Preparedness ◽  
Care Delivery ◽  
West Bank ◽  
Health Care Delivery System ◽  
Lessons Learned ◽  
Craniofacial Anomalies ◽  
The West ◽  
The Impact

Cleft care is generally characterized by staged, carefully timed surgeries and long-term, team-centered follow-up. Acute and chronic crises can wreak havoc on the comprehensive team care required by children with craniofacial anomalies. In addition, there is evidence that crises, including natural disasters and chronic disruptions, such as political turmoil and poverty, can lead to an increased incidence of craniofacial anomalies. The purpose of this article is to delineate the impact of acute and chronic crises on cleft care. Hurricane Katrina in New Orleans, Louisiana, in 2005, resulted in an acute crisis that temporarily disrupted the infrastructure necessary to deliver cleft care; chronic turmoil in the West Bank/Palestine has resulted in an absence of infrastructure to deliver cleft care. Through these central examples, this article will illustrate—through the prism of cleft care—the need for (1) disaster preparedness for acute crises, (2) changing needs following acute crises that may lead to persistent chronic disruption, and (3) baseline and long-term monitoring of population changes after a disaster has disrupted a health care delivery system.

scholarly journals Management of diabetes during natural emergencies

2014 ◽  
Vol 02 (02) ◽  
pp. 067-069 ◽  
Author(s):  
Mintu Baruah ◽  
K.V.S. Kumar
Keyword(s):  
Hurricane Katrina ◽  
Disaster Preparedness ◽  
The Past ◽  
Gas Leak ◽  
Patients With Diabetes ◽  
Short And Long Term ◽  
Long Term Consequences ◽  
Chronic Disorders ◽  
The Impact

AbstractDisaster preparedness is an important but often a neglected part in the management of chronic disorders. India is facing an epidemic of diabetes and the patients with diabetes are also exposed to the risk of natural disaster along with other members of the society. India faced many disasters in the past including the Bhopal gas leak, Gujarat earthquake and Andaman tsunami. These disasters exposed the lacunae in the disaster preparedness and lead to devastating health consequences. Previous research focused more on the immediate, traumatic aspects of the disasters and neglected the impact on chronic disorders. The experience of managing diabetes after Hurricane Katrina gave important insights into the short and long term consequences of a disaster. Our article provides information about the impact of disasters on diabetes, difficulties in the management and suggested measures at various levels to improve the disaster preparedness.

The Impact of Using Mathematics Principles on the Performance of Chillers

2013 ◽  
Vol 278-280 ◽  
pp. 165-168
Author(s):  
Yan Hui Jiao
Keyword(s):  
Energy Consumption ◽  
Electrical Power ◽  
Electrical Energy ◽  
Time Shift ◽  
Electrical Load ◽  
Night Time ◽  
Ambient Temperatures ◽  
Partial Load ◽  
Ac Systems ◽  
The Impact

In AC industry chilled water storage (CWS) systems are one form of cool thermal storage technology that can be used to time shift the electrical load of the system from the peak day periods to off peak night time periods. In this paper the data for the actual exported and generated electrical energy obtained for the power stations has been used to estimate the electrical energy consumption and the peak electrical load of AC systems. Since the chiller in an air cooled AC system represent more than 75% of the total electrical power consumed by an AC system during the peak demand period, the impact of using CWS systems with alternative operating strategies including partial(load leveling ),partial (demand limiting) and full load has been investigated. In our conclusions we estimate that approximately 45% of the total annual exported electrical energy is consumed solely by AC systems as a result of the very high ambient temperatures. Furthermore, it is estimated AC systems represent about 62% of the peak electrical load. The results demonstrate that CWS can reduce the peak electrical load of a chiller in an air cooled AC system by up to 100% and reduce the nominal chiller size by up to 33% depending up on the operating strategy adopted. This is achieved with only a 4% increase in power consumption of the chiller for all CWS strategies except for full storage where the energy consumption actually decreases by approximately 4%.

PERFORMANCE ANALYSIS OF THE ENERGY CONSUMPTION OF THE SCHEDULING ALGORITHMS IN LONG TERM EVOLUTION LTE (LONG TERM EVOLUTION) NETWORKS

2016 ◽  
Vol 78 (10-4) ◽  
Author(s):  
Nurulanis Mohd Yusoff ◽  
Darmawaty Mohd Ali ◽  
Ku Siti Syahidah Ku Mohd Noh
Keyword(s):  
Global Warming ◽  
Energy Consumption ◽  
Communication Systems ◽  
Scheduling Algorithms ◽  
Long Term Evolution ◽  
Proportional Fair ◽  
Downlink Transmission ◽  
Term Evolution ◽  
The Impact

Energy efficiency has become an important feature in communication systems due to the problem of global warming and lack of energy resources. The impact on global warming caused by wireless communication industries has been gradually increasing, so it is obvious that developing the green communication is significant. In particular, energy consumption in the base stations and downlink transmission are the major areas where significant conservation can be achieved. Thus, the objective of this study is to investigate the performance of the packet scheduling algorithms in the downlink transmission and the energy consumption for video and Voice over IP (VoIP) applications in Long Term Evolution (LTE) systems. In this work, four different scheduling algorithms were analysed namely the Channel and Quality of Service Aware Proportional Fair (CQA_PF), CQA Frequency Fading (CQA_Ff), Priority Set Scheduler Proportional Fair (PSS_PF), and PSS Carrier Over Interference to Average (PSS_CoItA) based on the performance metrics of throughput, delay, energy consumption ratio (ECR) and fairness. The results showed that the CQA algorithm for both methods (CQA_PF and CQA_Ff) outperformed the other algorithms since it has the highest throughput with an increase of up to 25%. Meanwhile, for delay and ECR, the CQA scheduler was the lowest of up to 20% as compared to the PSS scheduler. Thus, it can be concluded that CQA is the most energy efficient algorithm to schedule the video and VoIP applications.

scholarly journals Effect of Energy Consumption and Economic Growth towards the environmental quality of Indonesia

2019 ◽  
Vol 125 ◽  
pp. 10007
Author(s):  
Shanty Oktavilia ◽  
FX. Sugiyanto ◽  
Firmansyah ◽  
Amin Pujiati ◽  
Andryan Setyadharma
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Environmental Quality ◽  
Quality Index ◽  
Development Process ◽  
Econometric Model ◽  
Environment Quality ◽  
The Impact

Economic development as a process of improving people's welfare in a country can also lead the declining of the environment quality. The degradation of the environment can be caused by the energy consumption required in the development process, as well as pollution. The main purpose of this study is to analyze empirically the impact of energy consumption and economic growth toward environmental quality which is measured by environmental quality index. This study employs the econometric model of panel data of 34 provinces in Indonesia along 2011-2016. The study finds the long-term relationship between energy consumption and economic growth on environmental quality in Indonesia.

scholarly journals GREENHOUSE GAS EMISSIONS AS AN IMPACT OF NEW ROAD UNDER RAILWAY ELEVATION PROJECT IN TAOYUAN, TAIWAN

2017 ◽  
Vol 11 (1) ◽  
pp. 37
Author(s):  
Rahayu Kusumaningrum
Keyword(s):  
Greenhouse Gas ◽  
Co2 Emissions ◽  
Estimation Model ◽  
Short Term ◽  
Period Analysis ◽  
Affected Area ◽  
Emission Estimation ◽  
The Impact ◽  
Grid Based

Frequent occurrence of severe traffic congestion between Taoyuan City and Zhongli City has encouraged Taoyuan County Government to build elevated railway between these two cities. Besides, this plan also intended to merge all road signage by constructing new roads under the newly built elevated railway. Based on the environmental point of view, railway infrastructure improvement may be able to reduce the congestion and also emission. But the construction of new roads under it may result conversely, especially for the area neighboring the project. Therefore, the impact of railway elevation project parallel with the construction of new road on greenhouse gas emissions generated by road transport needs to be further studied.This study integrates transportation planning model and emission estimation model in order to estimate CO2 emissions as an impact of road improvement and further shows the spatial distribution of emission in grid-based emission. Short-term and long-term period analysis were done both for Taoyuan County and the affected area. Short-term period analysis analyze the project’s impact on emission for short-term after the project is implemented. Meanwhile, long-term period analysis analyze the impact of the project 20 years later.The results shows that in term of emission, the implementation of railway elevation project parallel with the construction of new roads generates the lowest CO2 emissions for whole Taoyuan County area both for short-term and long-term period analysis. In contrary, for project-affected area, the lowest emission is derived from the implementation of railway elevation project without construction of new roads both for short-term and long-term period analysis. Keywords: Railway elevation project, road improvement, emission estimation model, grid-based emission, Taoyuan County  

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