$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

[해외논문] Assessing the impact of a demand-resource bidding market on an electricity generation portfolio and the environment

Energy policy, v.147, 2020년, pp.111918 -   

Hyun, Minwoo (College of Business, Korea Advanced Institute of Science and Technology (KAIST)) ,  Kim, Yeong Jae (RFF-CMCC European Institute on Economics and the Environment (EIEE)) ,  Eom, Jiyong (College of Business, Korea Advanced Institute of Science and Technology (KAIST))

Abstract AI-Helper 아이콘AI-Helper

Abstract Although numerous studies have examined the economic benefits of demand response programs, the environmental impacts of such programs have been relatively underexplored. This study assesses the impact of demand resource bidding on the wholesale energy market and the environment, based on t...

Keyword

참고문헌 (41)

  1. Energy Aghajani 126 622 2017 10.1016/j.energy.2017.03.051 Demand side management in a smart micro-grid in the presence of renewable generation and demand response 

  2. Energy Pol. Ari 39 6120 2011 10.1016/j.enpol.2011.07.012 Carbon dioxide emission from the Turkish electricity sector and its mitigation options 

  3. Energy Econ. Boogen 64 402 2017 10.1016/j.eneco.2017.04.006 Demand-side management by electric utilities in Switzerland: analyzing its impact on residential electricity demand 

  4. Energy Procedia Bouckaert 61 1844 2014 10.1016/j.egypro.2014.12.226 Expanding renewable energy by implementing demand response 

  5. Energy Pol. Cardell 80 11 2015 10.1016/j.enpol.2015.01.021 Targeting existing power plants: EPA emission reduction with wind and demand response 

  6. Econom. Theor. Cragg 222 1993 10.1017/S0266466600007519 Testing identifiability and specification in instrumental variable models 

  7. Econometrica: J. Econometr. Soc. Dickey 1057 1981 10.2307/1912517 Likelihood ratio statistics for autoregressive time series with a unit root 

  8. Energy Pol. Dupont 67 344 2014 10.1016/j.enpol.2013.12.058 Demand response with locational dynamic pricing to support the integration of renewables 

  9. Chin. J. Eng. Dwivedi 2014 10.1155/2014/746924 Optimal demand side bidding with carbon emission by using MRS strategy 

  10. Econometrica: J. Econometr. Soc. Elliott 813 1996 10.2307/2171846 Efficient tests for an autoregressive unit root 

  11. Felder 2007 Quantifying Demand Response Benefits in Pjm 

  12. Energy Pol. Fernandez 96 458 2016 10.1016/j.enpol.2016.06.014 Renewable generation versus demand-side management. A comparison for the Spanish market 

  13. Energy Pol. Gilbraith 59 459 2013 10.1016/j.enpol.2013.03.056 Residential demand response reduces air pollutant emissions on peak electricity demand days in New York City 

  14. Goldman 2010 Coordination of Energy Efficiency and Demand Response 

  15. Appl. Energy Hirth 181 210 2016 10.1016/j.apenergy.2016.07.039 The benefits of flexibility: the value of wind energy with hydropower 

  16. Rev. Econ. Stat. Holland 90 550 2008 10.1162/rest.90.3.550 Is real-time pricing green? The environmental impacts of electricity demand variance 

  17. Wiley Interdisciplinary Rev.: Energy Environ. Huertas-Hernando 6 2017 Hydro power flexibility for power systems with variable renewable energy sources: an IEA Task 25 collaboration 

  18. IEA 2014 World Energy Outlook 2014 

  19. IEA 2018 Status of Power System Transformation 2018 

  20. IEEE Trans. Power Syst. Ji 28 4615 2013 10.1109/TPWRS.2013.2274176 Low-carbon power system dispatch incorporating carbon capture power plants 

  21. Energy J. Joskow 29 9 2008 10.5547/ISSN0195-6574-EJ-Vol29-NoSI2-3 Lessons learned from electricity market liberalization 

  22. Keith 2003 Modeling Demand Response and Air Emissions in New England 

  23. Lee 2015 Green Energy Study: Optimal Social Rate of Discount and Social Cost of Carbon in Korea 

  24. IEEE Trans. Smart Grid Logenthiran 3 1244 2012 10.1109/TSG.2012.2195686 Demand side management in smart grid using heuristic optimization 

  25. Elec. Power Syst. Res. Mahmoudi 108 144 2014 10.1016/j.epsr.2013.11.009 A new demand response scheme for electricity retailers 

  26. Energy Pol. Nelson 43 436 2012 10.1016/j.enpol.2012.01.031 High-resolution modeling of the western North American power system demonstrates low-cost and low-carbon futures 

  27. IEE Proc. Generat. Transm. Distrib. Newborough 146 283 1999 10.1049/ip-gtd:19990318 Demand-side management opportunities for the UK domestic sector 

  28. Peikherfeh 1 2010 IEEE, Energy Market (EEM), 2010 7th International Conference on the European Energy Market Economic effect of demand response programs on coupled active/reactive market prices in deregulated electricity markets 

  29. Biometrika Phillips 75 335 1988 10.1093/biomet/75.2.335 Testing for a unit root in time series regression 

  30. Energy Rodríguez-García 113 1136 2016 10.1016/j.energy.2016.07.146 A novel tool for the evaluation and assessment of demand response activities in the industrial sector 

  31. Energy J. Ros 38 73 2017 10.5547/01956574.38.4.aros An econometric assessment of electricity demand in the United States using utility-specific panel data and the impact of retail competition on prices 

  32. Energy Smith 85 10 2015 10.1016/j.energy.2015.02.067 Demand response: a carbon-neutral resource? 

  33. Stock 2005 Identification and Inference for Econometric Models: Essays in Honor of Thomas J. Rothenberg Testing for weak instruments in linear IV regression 

  34. Energy Pol. Tauchmann 34 3898 2006 10.1016/j.enpol.2005.09.014 Firing the furnace? An econometric analysis of utilities' fuel choice 

  35. Tellidou 1 2009 IEEE, 15th International Conference on Intelligent System Applications to Power Systems Demand response in electricity markets 

  36. Energy Pol. Walawalkar 36 3692 2008 10.1016/j.enpol.2008.06.036 An economic welfare analysis of demand response in the PJM electricity market 

  37. Energy Wang 35 1592 2010 10.1016/j.energy.2009.06.020 Demand response in China 

  38. IEEE Trans. Smart Grid Wijaya 5 1755 2014 10.1109/TSG.2014.2309053 When bias matters: an economic assessment of demand response baselines for residential customers 

  39. J. Am. Stat. Assoc. Zellner 57 348 1962 10.1080/01621459.1962.10480664 An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias 

  40. Environ. Sci. Technol. Zhang 49 1260 2015 10.1021/es505007m Demand response, behind-the-meter generation and air quality 

  41. Zhong 1 2012 IEEE, Power and Energy Society General Meeting Coupon incentive-based demand response (CIDR) in smart grid 

LOADING...

활용도 분석정보

상세보기
다운로드
내보내기

활용도 Top5 논문

해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.

관련 콘텐츠

유발과제정보 저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로