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The Plan for Computer network charge in Compus (캠퍼스내의 전산망 유료화를 위한 방안)

Dong-Su Kim;Hye-Jin Jeong;Young-Sung Kim
- Proceedings of the Korea Information Processing Society Conference
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- 2008.11a
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- pp.1187-1190
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- 2008
유비쿼터스 환경이 도래하고 있어, 이를 위한 막대한 자원과 장비 등의 인프라 투자비용 증대가 불가피한 시점에서 수익자 부담의 유료화 정책 도입이 그 어느 때보다도 절실히 필요하다l 유료화 기준을 설정하여 컴퓨터 유료화 과금 체계에 관한 모델을 제시하였다, 따라서 본 연구를 통해 과금 방법 등 유료화 정책을 통해 안정적이고 예측 가능한 예산 수급 방안을 가지고 인터넷 서비스 사용자에게 만족감을 주고 안정적이고 고속. 고품질 양질의 서비스를 제공하는 캠퍼스 전산망을 운용할 수 있을 것이다.
https://doi.org/10.3745/PKIPS.y2008m011a.1187 인용 PDF

A Case Study of GHG Reduction Based on Electricity Consumption Pattern of Individual Rooms : In case of Seoul National University (실별 전력 소비패턴에 의거한 온실가스 감축 잠재량 산정 - 서울대학교 관악 캠퍼스를 대상으로 -)

Kim, Seok-Young;Park, Moonseo;Lee, Hyun-Soo;Kim, Sooyoung;Jung, Hye-Jin
- Korean Journal of Construction Engineering and Management
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- v.14 no.4
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- pp.55-64
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- 2013
As GHG target management is introduced in Korea, designated establishment takes responsibilities to reduce more than 30% of expected GHG emission until 2020. Although decreasing GHG has been requested to universities which consume great amount of energy, there are difficulties to apply high cost countermeasures. Therefore, this research suggest a low cost, easily-applicable energy saving method, and derive potential GHG reduction amount in the case of SNU, Kwan-ak campus. First of all, 11 rooms of different use were chosen as the samples, and energy consumption in each room was measured. Standard models for each room were built through researching on the electric devices in each room. Moreover, energy consumption was computed for each devices through analyzing the pattern of electricity consumption. 32 GHG reduction technology and action program were chosen, and they were applied to the standard models for individual rooms. Through multiplying energy reduction rate of each program to energy consumption of each electric device, maximum energy reduction of each electric device is derived. Through that, Maximum GHG reduction for individual rooms and each month and the total GHG reduction capacity of Kwan-ak campus were computed. It was found out that approximately $5,311tCO_2$-eq can be reduced, when reduction technology and action program suggested by this research are applied. It appeared 24.48% of requested reduction amount to SNU can be reduced, till 2016.
https://doi.org/10.6106/KJCEM.2013.14.4.055 인용 PDF KSCI