• Title/Summary/Keyword: Revenue Generation

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Power Tracing Method for Transmission Usage Allocation Considering Reactive Power

  • Han Choong-Kyo;Park Jong-Keun;Jung Hae-Sung
    • KIEE International Transactions on Power Engineering
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    • v.5A no.1
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    • pp.79-84
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    • 2005
  • In many countries, the electric power industry is undergoing significant changes known as deregulation and restructuring. These alterations introduce competition in generation and retail and require open access to the transmission network. The competition of the electric power industry causes many issues to surface. Among them, unbundling of the transmission service is probably the most complicated as it is a single and integrated sector and the transmission revenue requirement must be allocated to market participants in a fair way. In these situations, it is valuable to research the methodologies to allocate transmission usage. The power tracing method offers useful information such as which generators supply a particular load or how much each generator (load) uses a particular transmission line. With this information, we can allocate required transmission revenue to market participants. Recently, several algorithms were proposed for tracing power flow but there is no dominant power tracing method. This paper proposes a power tracing method based on graph theory and complex-current distribution. For practicability, the proposed method for transmission usage allocation is applied to IEEE 30 buses and compared with the method proposed by Felix F.Wu.

Analysis of IoT Security in Wi-Fi 6 (Wi-Fi 6 환경에서의 IoT 보안 분석)

  • Kim, HyunHo;Song, JongGun
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.1
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    • pp.38-44
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    • 2021
  • Wi-Fi provides some low-power connection solutions that other Bluetooth cannot provide, and at the same time brings many benefits. First, there is a potentially higher data rate: it can reach 230mbps. Wi-Fi coverage is also wider than competitors, and its operating frequency is also 5GHz, which is much less congested than 2.4GHz. Finally, it also supports IP networks, which is important if you want to send data to the cloud without complexity. The 802.11ac standard of the previous generation still accounts for most shipments (80.9%) and revenue (76.2%). However, there is a limit to accepting IoT devices that will continue to increase significantly in the future. To solve this problem, the new Wi-Fi 6 standard is expected to be the solution (IEEE 802.11ax) which is quickly becoming the main driving force of the wireless local area network (WLAN) market. According to IDC market research analysts, in the first quarter of 2020, independent access points (APs) supported by Wi-Fi 6 accounted for 11.8% of shipments, but 21.8% of revenue. In this paper, we have compared and analyzed the IoT connectivity, QoS, and security requirements of devices using Wi-Fi 6 network.

Analysis of project-level elements of a smart city: A case study

  • Kisi, Krishna P.;Bhattarai, Sushmit Sharma
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1001-1008
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    • 2022
  • As a part of the Smart Cities Mission, the Government of India in 2015 embarked upon the development of 100 existing cities as smart cities. In this study, the authors selected Ahmedabad city as the smart city development in India and presented project-level elements of the city based on the secondary data availability. At first, the authors focused on peer-reviewed articles, policy documents, and technical reports. Next, the authors collected the secondary data of project-level elements of the Ahmedabad city from the years 2015 to 2019. The findings show no significant improvement in the sewage system and waste collection as compared to the level of investment made in these sectors. The study showed that the water supply system outperformed revenue generation based on the government investment made in that sector. As a lesson learned, these findings indicate that significant improvement should be addressed in sewage management and waste collection. These study findings could help government officials, investors, developers, and city planners in making the appropriate decision before and during smart city execution. The lesson learned from this study could be used as a reference to improve revenue during the future smart city implication.

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Economic Analysis and Comparison between Low-Power and High-Power SOEC Systems (저출력 및 고출력 SOEC 시스템의 경제성 분석 비교)

  • TUANANH BUI;YOUNG SANG KIM;DONG KEUN LEE;KOOK YOUNG AHN;YONGGYUN BAE;SANG MIN LEE
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.6
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    • pp.707-714
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    • 2022
  • Hydrogen production using solid oxide electrolysis cells (SOEC) is a promising technology because of its efficiency, cleanness, and scalability. Especially, high-power SOEC system has received a lot of attention from researchers. This study compared and analyzed the low-power and high-power SOEC system in term of economic. By using revenue requirement method, levelized cost of hydrogen (LCOH) was calculated for comparison. In addition, the sensitivity analysis was performed to determine the dependence of hydrogen cost on input variables. The results indicated that high-power SOEC system is superior to a low-power SOEC system. In the capital cost, the stack cost is dominant in both systems, but the electricity cost is the most contributed factor to the hydrogen cost. If the high-power SOEC system combines with a nuclear power plant, the hydrogen cost can reach 3.65 $/kg when the electricity cost is 3.28 ¢/kWh and the stack cost is assumed to be 574 $/kW.

Predicting Movie Revenue by Online Review Mining: Using the Opening Week Online Review (영화 흥행성과 예측을 위한 온라인 리뷰 마이닝 연구: 개봉 첫 주 온라인 리뷰를 활용하여)

  • Cho, Seung Yeon;Kim, Hyun-Koo;Kim, Beomsoo;Kim, Hee-Woong
    • Information Systems Review
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    • v.16 no.3
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    • pp.113-134
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    • 2014
  • Since a movie is an experience goods, purchase can be decided upon preliminary information and evaluation. There are ongoing researches on what impact online reviews might have on movie revenues. Whereas research in the past was focused on the effect of online reviews. The influence of online reviews appears to be significant in products like a movie because it is difficult to evaluate the feature prior to "consuming" the product. Since an online review is regarded to be objective, consumers find it more trustworthy. Contrary to prior research focused on movie review ratings and volume, we focus moves on movie features related specific reviews. This research proposes a predictive model for movie revenue generation. We decided 15 criteria to classify movie features collected from online reviews through the online review mining and made up feature keyword list each criterion. In addition, we performed data preprocessing and dimensional reduction for data mining through factor analysis. We suggest the movie revenue predictive model is tested using discriminant analysis. Following the discriminant analysis, we found that online review factors can be used to predict movie popularity and revenue stream. We also expect using this predictive model, marketers and strategic decision makers can allocate their resources in more parsimonious fashion.

Exploring Fractional Ownership in Korean Art Market: Based on Business Model Canvas (분할소유 미술시장의 현황과 과제 - 비즈니스 모델 캔버스를 중심으로 -)

  • Lee, Yunjin;Koo, Jajoon
    • Korean Association of Arts Management
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    • no.58
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    • pp.179-204
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    • 2021
  • Not only the consumption trend after the COVID-19 pandemic but also low financial interest rates have stimulated people to invest artworks. With the recent noticeable growth, art investments that mainly conducted by younger generation through online platform can be characterized by a fractional ownership in art market which means several people share one piece of artwork. This study explores 4 fractional ownership platforms in the domestic art market including Art Together, Art & Guide, Tessa, and Pica projects, using a business model canvas that describes nine key elements: Customer Segments, Value Proposition, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partners and Cost Structure. The four cases have similar business models, but the details of revenue streams are different. The key sources of revenue are the profit and commission of the work. Thus, maximizing the profit margin of artworks is the core of revenue streams, so selecting and purchasing highly profitable artworks are significant. Based on the analysis, there are 3 suggestions to continue fractional ownership platform businesses in art market successfully. First, it is required to have a long-term perspective on art investments, as a way to diverse asset portfolio. Second, business confidence should be increased to maintain customer loyalty. Third, the role of platforms as competent experts is important.

Impacts of Energy Tax Reform on Electricity Prices and Tax Revenues by Power System Simulation (전력계통 모의를 통한 에너지세제 개편의 전력가격 및 조세수입에 대한 영향 연구)

  • Kim, Yoon Kyung;Park, Kwang Soo;Cho, Sungjin
    • Environmental and Resource Economics Review
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    • v.24 no.3
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    • pp.573-605
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    • 2015
  • This study proposed scenarios of tax reform regarding taxation on bituminous coal for power generation since July 2015 and July 2014, estimated its impact on SMP, settlement price, tax revenue from year 2015 to year 2029. These scenarios are compared with those of the standard scenario. To estimate them, the power system simulation was performed based on the government plan, such as demand supply program and the customized model to fit Korea's power system and operation. Imposing a tax on bituminous coal for power generation while maintaining tax neutrality reducing tax rate on LNG, the short-term SMP is lowered than the one of the standard scenario. Because the cost of nuclear power generation is still smaller than costs of other power generation, and the nuclear power generation rarely determines SMPs, the taxation impact on SMP is almost nonexistent. Thus it is difficult to slow down the electrification of energy consumption due to taxation of power plant bituminous coal in the short term, if SMP and settlement price is closely related. However, in the mid or long term, if the capacity of coal power plant is to be big enough, the taxation of power plant bituminous coal will increase SMP. Therefore, if the tax reform is made to impose on power plant bituminous coal in the short term, and if the tax rate on LNG is to be revised after implementing big enough new power plants using bituminous coal, the energy demand would be reduced by increasing electric charges through energy tax reform. Both imposing a tax on power plant bituminous coal and reducing tax rate on LNG increase settlement price, higher than the one of the standard scenario. In the mid or long term, the utilization of LNG complex power plants would be lower due to an expansion of generating plants, and thus, the tax rate on LNG would not affect on settlement price. Unlike to the impact on SMP, the taxation on nuclear power plants has increased settlement price due to the impact of settlement adjustment factor. The net impact of energy taxation will depend upon the level of offset between settlement price decrease by the expansion of energy supply and settlement price increase by imposing a tax on energy. Among taxable items, the tax on nuclear power plants will increase the most of additional tax revenue. Considering tax revenues in accordance with energy tax scenarios, the higher the tax rate on bituminous coal and nuclear power, the bigger the tax revenues.

A Study on the Application Direction of Financial Industry Metaverse Platform to secure MZ Generation Contact Points (MZ 세대 접점 확보를 위한 금융권 메타버스 플랫폼 활용 방향 연구)

  • Ki-Jung Ryu;Ki-Bum Park;Sungwon Cho;Dongho Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.3
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    • pp.127-137
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    • 2023
  • COVID-19 has not only affected all sectors of society, economy and politics, but also had a huge impact on industry. The non-face-to-face exchange method was essential to prevent infectious diseases, and the generation who experienced it recognizes the importance of a platform that can be quickly accessed anytime, anywhere, and attention is focused on the Metaverse that can accommodate it well. Each financial industry uses a differentiated metabus platform strategy, focuses on new customer service and revenue generation, and is also used as an internal and external communication channel. This paper analyzes the theoretical background of the financial sector metaverse and domestic and international cases, and studies and describes the direction of using the financial sector metaverse platform to secure MZ generation contact points.

A Study on the TCN based Train Diagnostic and Control System of the HEMU (TCN을 이용한 분산형고속열차 차세대 진단제어장치 개발에 대한 연구)

  • Hong, Goo-Sun;Park, Seong-Ho;Shin, Kwang-Kyun;Shin, Myong-Jun
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.1618-1628
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    • 2011
  • The Train Diagnostic and Control System(TDCS) has been equipped on the modern Metro Vehicle, Locomotive and High Speed Train. The main purpose of this system is to support the identification of train status by real-time, the fast action against such failure events during revenue service and the fast convenient maintenance processes. Some of newest TCMS, a kind of control and monitoring system, has participated in the main control functions such as pantograph up and down, powering and braking command and so on. But these kind of control functions of the high speed train which has the operating speed over 300km/h are conducted by the train electrical logic circuits. The KTX-I and KTX-II - the local high speed train, are the typical example. The next generation TDCS for the ongoing project of distributed high speed train(HEMU) is designing with the target to increase main train control functions, to increase the reliability/avalibility and to increase the convenient driving. This paper introduces the overall configurations and functions of the new generation TDCS.

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Analyzing the Economic Effects of Past Mobile Network Sharing Deals for Future Network Deployment

  • Kim, Dongwook;Kim, Sungbum;Zo, Hangjung
    • ETRI Journal
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    • v.40 no.3
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    • pp.355-365
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    • 2018
  • The increase in data traffic calls for investment in mobile networks; however, the saturating revenue of mobile broadband and increasing capital expenditure are discouraging mobile operators from investing in next-generation mobile networks. Mobile network sharing is a viable solution for operators and regulators to resolve this dilemma. This research uses a difference-in-differences analysis of 33 operators (including 11 control operators) to empirically evaluate the cost reduction effect of mobile network sharing. The results indicate a reduction in overall operating expenditure and short-term capital expenditure by national roaming. This finding implies that future technology and standards development should focus on flexible network operation and maintenance, energy efficiency, and maximizing economies of scale in radio access networks. Furthermore, mobile network sharing will become more viable and relevant in a 5G network deployment as spectrum bands are likely to increase the total cost of ownership of mobile networks and technical enablers will facilitate network sharing.