• Title/Summary/Keyword: Energy policies

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Customer Baseline Load Calculation using Time Series Prediction Technique in Energy Efficiency Programs (시계열 모델을 이용한 행동기반 에너지 효율화 프로그램의 고객기준부하 산정 방안)

  • Koh, Sae-Hyun;Joo, Sung-Kwan;Lee, Jae-Hee;Moon, Guk-Hyun;Wi, Young-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.68 no.1
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    • pp.19-26
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    • 2019
  • As global demand for energy, energy prices, and power generation has increased worldwide, the government is turning to supply-oriented electricity supply and demand policies, such as behavior-based energy efficiency programs. In order to measure the implementation effect of the behavior-based energy efficiency program, the energy reduction must be accurately calculated by calculating the customer baseline load.

A Study on Constructing Bottom-up Model for Electric Sector (전력부문 온실가스 감축정책 평가를 위한 상향식 모형화 방안)

  • Kim, Hugon;Paik, Chunhyun;Chung, Yongjoo;Ahn, Younghwan
    • Journal of Energy Engineering
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    • v.25 no.3
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    • pp.114-129
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    • 2016
  • Since the release of mid-term domestic GHG goals until 2020, in 2009, some various GHG reduction policies have been proposed to reduce the emission rate about 30% compared to BAU scenario. There are two types of modeling approaches for identifying options required to meet greenhouse gas (GHG) abatement targets and assessing their economic impacts: top-down and bottom-up models. Examples of the bottom-up optimization models include MARKAL, MESSAGE, LEAP, and AIM, all of which are developed based on linear programming (LP) with a few differences in user interface and database utilization. The bottom-up model for electric sector requires demand management, regeneration energy mix, fuel conversation, etc., thus it has a very complex aspect to estimate some various policies. In this paper, we suggest a bottom-up BAU model for electric sector and how we can build it through step-by-step procedures such that includes load region, hydro-dam and pumping storage.

Innovations for Sustainability: A Case of Mainstreaming Energy Access in Rural India

  • Patil, Balachandra
    • Asian Journal of Innovation and Policy
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    • v.4 no.2
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    • pp.154-177
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    • 2015
  • India faces a formidable challenge in ensuring security of access to modern energy carriers to majority of its population. The fossil-fuel dominated centralized energy system has proved to be ineffective in creating sustainable access to energy, which suggests need for a radical and innovative approach. We present such an approach. First, the need for innovations given the implications of lack of energy access on sustainable development is assessed. Next, possible innovations with respect to technologies, policies, institutions, markets, financial instruments and business models are discussed. Finally, an economic and financial feasibility of implementing such innovations are analyzed. The results indicate that such a proposal needs an investment of US$ 26.2 billion over a period of 20 years for a GHG mitigation potential of 213Tg $CO_{2e}$. The proposition is profitable for the enterprises with IRRs in the range of 39%-66%. The households will get lifeline access to electricity and gas for cooking at an affordable monthly cost of about US$ 5.7.

A Locality-Aware Write Filter Cache for Energy Reduction of STTRAM-Based L1 Data Cache

  • Kong, Joonho
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.1
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    • pp.80-90
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    • 2016
  • Thanks to superior leakage energy efficiency compared to SRAM cells, STTRAM cells are considered as a promising alternative for a memory element in on-chip caches. However, the main disadvantage of STTRAM cells is high write energy and latency. In this paper, we propose a low-cost write filter (WF) cache which resides between the load/store queue and STTRAM-based L1 data cache. To maximize efficiency of the WF cache, the line allocation and access policies are optimized for reducing energy consumption of STTRAM-based L1 data cache. By efficiently filtering the write operations in the STTRAM-based L1 data cache, our proposed WF cache reduces energy consumption of the STTRAM-based L1 data cache by up to 43.0% compared to the case without the WF cache. In addition, thanks to the fast hit latency of the WF cache, it slightly improves performance by 0.2%.

Correlation between High-Caffeine Energy Drink Intake and Mental Health in High School Students (고등학생의 고카페인 에너지 음료섭취와 정신건강의 상관성)

  • Park, Woong-Sub;Park, Sunu;Kim, Sang-A
    • Journal of the Korean Society of School Health
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    • v.29 no.3
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    • pp.132-139
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    • 2016
  • Purpose: In this study, we analyzed the correlation between high-caffeine energy drink intake and mental health in high school students. Methods: Analyses were conducted using the data of 27,097 responses from the 2015 Korea Youth Risk Behavior Web-based Survey of general high school students. Data were analyzed by logistic regression based on a complex sample design. Results: High-caffeine energy drink intake was positively correlated with the rates of smoking, alcohol consumption, violence, depression, and suicidal thoughts and negatively correlated with the sense of happiness. Conclusion: High-caffeine energy drink intake has a significant impact on the mental health of high school students. Therefore, in-depth research and policies on high-caffeine energy drink intake and the mental health of young individuals are required.

Does nuclear energy reduce consumption-based carbon emissions: The role of environmental taxes and trade globalization in highest carbon emitting countries

  • Muhammad Yasir Mehboob;Benjiang Ma;Muhammad Sadiq;Yunsheng Zhang
    • Nuclear Engineering and Technology
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    • v.56 no.1
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    • pp.180-188
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    • 2024
  • This research examined consumption-based carbon emission reduction by nuclear energy consumption and environmental tax while considering the context of trade globalization in the highest five emitter nations from 1990 to 2020. This study used various empirical methodologies, including preliminary analysis to check the stationarity and cointegration, the CS-ARDL for long-run analysis, CCEMG, AMG for robustness, and the D-H causality test for short-term pairwise causation. The results indicated that nuclear energy consumption, environmental tax, and trade globalization help to mitigate consumption-based carbon emissions while economic growth and population density boost carbon emissions. Furthermore, the results also found two-way casual connection exists between nuclear energy consumption, population density, and consumption-based carbon emissions. Thus, the results emphasize the need for government policies that encourage nuclear energy and environmental tax as a strategy to reduce carbon emissions and achieve and maintain environmental development.

Policies of the Developed Countries for Reducing Standby Power in Electronic Appliances (전기전자 기기의 대기전력 절감을 위한 주요국들의 정책)

  • 김은동;서길수;김남균
    • Proceedings of the Korea Society for Energy Engineering kosee Conference
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    • 2003.05a
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    • pp.457-460
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    • 2003
  • 대부분의 전기전자기기는 주 기능을 사용하지 않고 단지 전기 플러그만 연결된 상태에서도 수 와트 정도의 전력을 소모하는데 이를 대기전력이라고 한다. 대기전력은 전기전자기기의 급속한 보급확대와 사무자동화 및 홈 오토메이션의 가속화로 점점 국가적 차원의 주요 에너지 문제로 대두하게 되었다. 본 발표에서는 대기전력을 절감하기 위한 선진국들의 제도와 정책을 조사하고 대기전력 절감을 위한 일련의 과정에 대하여 기술하였다.

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Cache Replacement Policies for Energy Efficiency (저전력 캐쉬 대체 정책)

  • 이문상;이원진;이준원;맹승렬
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.04a
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    • pp.12-14
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    • 2000
  • 소형의 이동 컴퓨터 시스템이 발전하면서 프로세서의 전력 소모(energy dissipation)가 중요한 이슈가 되고 있다. 현재 대부분의 프로세서들은 성능 향상을 위해 캐쉬를 사용하고 있고 이것은 프로세서내의 많은 비율의 전력을 소모한다. 따라서 저 전력 프로세서를 설계하기 위해서는 내장 캐쉬(on-chip cache)의 전력 소모를 줄이는 것이 중요하다. 본 논문은 캐쉬 대체 전략으로 현재 많이 사용되는 LRU(Least Recently Used) 방식을 LFU(Least Frequently Used), LFUT(LFU with Threshold), FIFO(First In First Out) 방식과 관련 효율적 측면에서 비교 분석 한다.

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The Role of Digital Technology in Climate Technology Innovation

  • KARAM JO
    • KDI Journal of Economic Policy
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    • v.45 no.2
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    • pp.21-50
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    • 2023
  • In this paper, I empirically estimate the relationship between digital technology and climate technology using the United States Patent and Trademark Office's patent database. I find that innovation in digital technology increases the number of patents for climate technology by 17.3% on average, with digital data-processing technology and machine-learning-related technologies especially playing a key role in this relationship. Designing and implementing detailed policies that take into account the relationship between the two technologies will help us reduce the time required to achieve carbon neutrality and shift to the digital economy.

Nuclear Safety: A Longitudinal Case Study from the Fukushima Nuclear Disaster (후쿠시마 원전사고 종적사례연구를 통한 원전에너지 안전성 고찰)

  • Lee, Joon-Hyuk;Jin, Young-Min;Jo, Young-Hyuk;Lee, Soon-Hong
    • Journal of the Korean Society of Safety
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    • v.31 no.1
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    • pp.139-147
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    • 2016
  • Nuclear energy is considerably cheap and clean compared to other fossil fuels. Yet, there are rising safety concerns of nuclear power plants including the possibility of radiation releasing nuclear accidents. In light of the Fukushima nuclear crisis in 2011, Japan has been re-evaluating their existing energy policies and increasing the share of alternative energy. This paper first tracks the major historical changes of energy policy in Japan by time period. Next, energy security, reignited concerns and alternative energy are covered to examine Japan's energy security situation and its transition after the Fukushima disaster. Lastly, a short survey based on thematic analysis was conducted in South Korea and Japan to understand the public awareness of nuclear. This paper postulates that the case of Fukushima will contribute to establish and operate a safe-future nuclear program in South Korea, given that the country is not only geographically neighbouring Japan but also the world's fourth largest producer of nuclear energy.