• 제목/요약/키워드: Renewable policy

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A Study on Energy Platform Using Data in the US: Based on Opening Platform Model

  • Song, Minzheong
    • International journal of advanced smart convergence
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    • 제10권3호
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    • pp.41-50
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    • 2021
  • The purpose of this study is to analyze various energy platforms using data in the US and to suggest directions and implications. Some of the leading energy platforms are selected and analyzed based on the opening platform model. We focus on the case analysis of the US utility companies. In case of the horizontal open platform, Green Button sponsor's 'Connect My Data (CMD)' driven by the government invites the utility companies to jointly develop the sponsor's data solution. In case of the vertical open platform, the certification program 'Share My Data (SMD)' allows backward compatibility, because the technical improvement is minimal. The utility companies benchmark Amazon's three-sided market mediation and prefer platform and category exclusivity. For the former, they have data analytics companies like Enervee, Opower and for the latter, they have electronics manufactures and energy service providers (ESPs) like Distributed Energy Resources (DERs). Based on this US case study, we suggest the energy platforms to open their platform for renewable energy supply, energy conservation, high-efficiency products, and residential DER dissemination. To successfully implement the government's energy transition policy, the US platforms should be benchmarked as a business model. Especially, it is needed for them to coordinate a platform ecosystem. To ensure trust in the products and services offered on the marketplace platform, platform's certification program is helpful.

Green Bonds Driving Sustainable Transition in Asian Economies: The Case of India

  • PRAKASH, Nisha;SETHI, Madhvi
    • The Journal of Asian Finance, Economics and Business
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    • 제8권1호
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    • pp.723-732
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    • 2021
  • On September 25, 2015, 193 countries of the United Nations (UN) General Assembly, signed the 2030 Agenda to work towards attaining 17 Sustainable Development Goals (SDGs) and its associated 169 targets and 232 indicators. With one of the largest renewable energy programs, India is well-poised to be a role model for low-carbon transformation to other Asian countries. However, bridging the financing gap is critical to ensure that the country meets its SDG targets. Though the SDGs identified by the UN are broad-based and interdependent, for ease of analysis we have grouped them into five themes - people, planet, prosperity, peace, and partnership - based on existing UN models. This paper investigates the financing gap for 'green' projects linked to planet-related SDG targets in India. It builds an argument for utilizing green bonds as an instrument to bridge the gap. After establishing the potential of green bonds in raising the finance to meet India's planet-related SDG targets, we look at the current policy landscape and suggest recommendations for successful execution. The paper concludes that deepening of the corporate fixed income securities market and firming up guidelines in line with India's climate action plans are inevitable before green bonds can be considered a viable financing option.

에너지 거장과 탄소 중립을 위한 DNA(데이터, 네트워크, 인공지능) 중심 에너지ICT 기술 개발 현황 (Energy Maestro and Development Status of the DNA-oriented Energy-ICT Technology for Carbon Neutrality)

  • 박완기;구태연;이일우
    • 전자통신동향분석
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    • 제36권1호
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    • pp.109-119
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    • 2021
  • The Korean government recently announced a plan of the Carbon Neutral policy in addition to the Green New Deal of the Korean New Deal and the Renewable Energy 3020. The energy sector is entering the era of major transformation involving the expansion of decarbonization, decentralization, and digitalization. DNA-oriented ICT technology will be incorporated into the sector. Further, new energy industries and services are being realized via efficient and smart operation and by appropriately managing the energy-environment changes. Recently, ETRI presented a technology development map for 2035 comprising 12 new concepts in four major fields(personal, social, industrial and public) of national intelligence. This map includes the concept of "Energy Maestro" associated with the field of public intelligence for human sustainability. This paper briefly introduces this concept and ETRI's Energy-R&D status. Based on the domain knowledge and the experience acquired through the R&D, ETRI will lead to a new paradigm with respect to the creation of new energy services and industries via the incorporation of the new ICT technologies including AI and big-data into the energy sector.

Analysis on short-term decay heat after shutdown during load-follow operation with seasonal and daily scenarios

  • Hwang, Dae Hee;Kim, Yonghee
    • Nuclear Engineering and Technology
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    • 제54권10호
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    • pp.3878-3887
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    • 2022
  • For the future energy-mix policy for carbon neutrality, demand for the capability of load-follow operation has emerged in nuclear power plants in order to accommodate the intermittency of renewable energy. The short-term decay heat analysis is also required to evaluate the decay heat level varied by the power level change during the load-follow operation, which is a very important parameter in terms of short-term decay heat removal during a grace time. In this study, the short-term decay heat level for 10 days after the shutdown was evaluated for both seasonal and daily load-follow cases. Additionally, the nuclide-wise contribution to the accumulated decay heat for 10 days was analyzed for further understanding of the short-term decay heat behavior. The result showed that in the seasonal case, the decay heat level was mainly determined by the power level right before the shutdown and the amount of each nuclide was varied with the power variation due to the long variation interval of 90 days. Whereas, in the daily case, the decay heat level was strongly impacted by the average power level during operation and meaningful mass variations for those nuclides were not observed due to the short variation interval of 0.5 days.

주차장·옥상 유휴부지를 활용한 태양광발전 비용편익 분석: 환경·사회 편익 중심으로 (Analyzing of Solar Power Generation Cost-Benefit Using Idle Sites(Parking Lot & Rooftop): Focusing on Environmental Benefit and Social Benefit)

  • 고형도;김정인;안경진
    • 아태비즈니스연구
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    • 제13권2호
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    • pp.139-154
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    • 2022
  • Purpose - This study aims to analyzing of solar power generation cost-benefit. Design/methodology/approach - We analyzed whether there is economic feasibility by selecting parking lots and idle sites located in four areas of Seoul, Gyeonggi, Chungcheong, Jeolla, and Gyeongsang areas nationwide, and analyzing site conditions and installation capacity. Findings - According to the results of the analysis, it was found that there is low profitability in Seoul, Gyeonggi and Chungcheong regions, where the solar radiation was not excellent even if REC is selected through the contract market. However, it is necessary to analyzed the economical validity the profitable validity including environmental benefits (greenhouse gas reduction, NOx, SOx reduction effect) and social benefits (renewable power supply) that is analyzed by income and operating costs which is occurred from electricity sales and REC sales when installing solar power generation facilities. Research implications or Originality - In this study, economic feasibility was evaluated additionally in consideration of environmental and social benefits. In conclusion, it was shown that businesses are not economical when considering only simple financial aspects are also sufficiently economical when it is considering environmental and social benefits.

에너지 산업 주기에 따른 신.재생에너지-IT융합 정책 수요에 관한 연구 : 산업 태동기 연료전지와 성장기 태양광을 중심으로 (A Study on the Policy Demand for Renewable Energy-IT Convergence based on Industry Life Cycle)

  • 박수경;김예진;이봉규
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 춘계학술발표대회
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    • pp.1181-1184
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    • 2011
  • 화석 에너지 고갈 및 지구 온난화 문제가 대두됨에 따라 신 재생에너지 산업에 대한 관심이 증가하고 있으며, 특히 신 재생에너지-IT 융합을 통한 산업 효율성 향상에 관한 정책적 논의가 지속되고 있다. 그러나 각 신 재생에너지 산업은 고유의 특성을 가지고 있기에 이를 효과적으로 달성하기 위해서는 각 특성을 고려한 지원정책이 필요하다. 따라서 본 연구는 에너지 산업 주기에 따라 각 산업에서 필요로 하는 지원 정책을 분석하고자 한다. 이를 위해 산업 태동기인 연료전지와 성장기인 태양광을 비교대상으로 선정하여 전문가 초점집단인터뷰(Focus Group Interview)를 실행하였다. 이를 현 지원정책과 비교함으로써 산업 활성화에 실질적으로 기여할 수 있는 지원정책을 도출하고자 한다. 본 연구는 향후 신 재생에너지-IT융합 정책을 수립하는 과정에서 기초자료로 활용될 것으로 예상되며 에너지-IT융합 산업에서 큰 기여를 할 것으로 기대된다.

키워드 네트워크 분석을 통한 주요국 연료전지 분야 연구동향 분석 (Fuel Cell Research Trend Analysis for Major Countries by Keyword-Network Analysis)

  • 손범석;황한수;오상진
    • 한국수소및신에너지학회논문집
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    • 제33권2호
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    • pp.130-141
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    • 2022
  • Due to continuous climate change, greenhouse gases in the atmosphere are gradually accumulating, and various extreme weather events occurring all over the world are a serious threat to human sustainability. Countries around the world are making efforts to convert energy sources from traditional fossil fuels to renewable energy. Hydrogen energy is a clean energy source that exists infinitely on Earth, and can be used in most areas that require energy, such as power generation, transportation, commerce, and household sectors. A fuel cell, a device that produces electric and thermal energy by using hydrogen energy, is a key field to respond to climate change, and major countries around the world are spurring the development of core fuel cell technology. In this paper, research trends in China, the United States, Germany, Japan, and Korea, which have the highest number of papers related to fuel cells, are analyzed through keyword network analysis.

우리나라 태양광 산업의 교역패턴 요인 분석 (Factor Analysis of Trade Patterns in Korea Photovoltaic Industry)

  • 주신애;정윤세;박현희
    • 무역학회지
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    • 제41권2호
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    • pp.185-202
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    • 2016
  • 온실가스 감축 의무와 방사능 유출 우려 등으로 각국의 신·재생에너지에 대한 관심이 높아지고 있다. 그 중에서도 태양광은 가장 현실적인 에너지로 주목받고 있으며, 세계 시장의 수요가 증가함에 따라 한국 태양광 산업의 해외진출 및 무역요인에 관한 체계적 분석이 필요하다. 본 연구에서는 한국과 태양광 제품을 거래하는 11개국을 대상으로 1990년부터 2014년까지 총 25년간의 패널데이터를 연구하여 보았다. 중력모형을 중심으로 분석을 시행하였으며, 분석결과 한국의 태양광 제품은 일반적으로 중력모형과 일치하는 것으로 나타났다. 그러나 경제규모와 거리 이외의 요인에서는 각각 다른 결과가 도출되었다.

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Sustainable Tall Buildings: Summary of Energy-Efficient Design

  • Kheir Al-Kodmany;Mir M. Ali;Paul J. Armstrong
    • 국제초고층학회논문집
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    • 제12권2호
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    • pp.107-120
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    • 2023
  • Tall buildings are frequently decried as unsustainable due to their excessive energy usage. Early skyscrapers used natural light and ventilation to facilitate human comfort and applied organic materials such as stone, glass, wood, concrete, and terra cotta for cladding and finishes. With the advent of fluorescent lighting, modern heating, ventilation, air-conditioning (HVAC) systems, and thermally sealed curtain walls, tall office buildings no longer had to rely on natural light and ventilation to provide comfort. Energy efficiency was not a significant factor when the operational costs of buildings were relatively inexpensive. However, today's skyscrapers must become more energy-efficient and sustainable due to energy crises and climate change. This paper highlights vital energy-efficient design principles and demonstrates with illustrative case studies how they are applied to tall buildings in various parts of the world. It shows how sustainable environmental systems do not act alone but are integrated with advanced curtain wall systems, sky gardens, and atria, among others, to regulate and sustain thermal comfort and conserve energy.

Flexible operation and maintenance optimization of aging cyber-physical energy systems by deep reinforcement learning

  • Zhaojun Hao;Francesco Di Maio;Enrico Zio
    • Nuclear Engineering and Technology
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    • 제56권4호
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    • pp.1472-1479
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    • 2024
  • Cyber-Physical Energy Systems (CPESs) integrate cyber and hardware components to ensure a reliable and safe physical power production and supply. Renewable Energy Sources (RESs) add uncertainty to energy demand that can be dealt with flexible operation (e.g., load-following) of CPES; at the same time, scenarios that could result in severe consequences due to both component stochastic failures and aging of the cyber system of CPES (commonly overlooked) must be accounted for Operation & Maintenance (O&M) planning. In this paper, we make use of Deep Reinforcement Learning (DRL) to search for the optimal O&M strategy that, not only considers the actual system hardware components health conditions and their Remaining Useful Life (RUL), but also the possible accident scenarios caused by the failures and the aging of the hardware and the cyber components, respectively. The novelty of the work lies in embedding the cyber aging model into the CPES model of production planning and failure process; this model is used to help the RL agent, trained with Proximal Policy Optimization (PPO) and Imitation Learning (IL), finding the proper rejuvenation timing for the cyber system accounting for the uncertainty of the cyber system aging process. An application is provided, with regards to the Advanced Lead-cooled Fast Reactor European Demonstrator (ALFRED).