IEEJ Transactions on Power and Energy
Online ISSN : 1348-8147
Print ISSN : 0385-4213
ISSN-L : 0385-4213
Volume 142, Issue 7
Displaying 1-16 of 16 articles from this issue
Review
  • Ryoichi Komiyama
    2022 Volume 142 Issue 7 Pages 323-326
    Published: July 01, 2022
    Released on J-STAGE: July 01, 2022
    JOURNAL RESTRICTED ACCESS

    Many computational energy models have been internationally developed to analyze energy supply and demand for the purpose of assessing the specific impact of energy and environmental policies. Energy models are utilized for a wide range of requirements such as energy price impact assessment, energy policy impact assessment such as the introduction of advanced technology and infrastructure, feasibility analysis of greenhouse gas emission reduction such as carbon neutrality, and creation of a realistic future energy supply and demand outlook. The merits of the energy model consist of consistent and quantitative evaluation of numerous factors using mathematical formulas for a system with a huge and complex structure such as energy and economy, deep understanding of the system structure through modeling, and provision of a transparent framework for policy discussions. Future energy model directions include expanding and refining the types of target technologies and sectors, and refining geographical and temporal resolutions in light of computational performance improvements.

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Paper
  • Kyoshiro Mae, Mutsumi Aoki
    2022 Volume 142 Issue 7 Pages 327-333
    Published: July 01, 2022
    Released on J-STAGE: July 01, 2022
    JOURNAL RESTRICTED ACCESS

    In recent years, non-utility generators of large consumers have been expected to contribute to the stabilization and restoration of power supply during in the event of a disasters. For this purpose, it is required to maintain the interconnection with the utility power system for a while during emergencies. However, if the non-utility generators are not able to maintain stable operation due to grid disturbance, not only the operation of the consumers will be suspended, but also the operation of the utility power system will be disturbed. In this paper, we construct a grid analysis model based on a real power system that includes a large consumer with non-utility generators, and show the issues that may arise in the generators through simulation.

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  • —An Analysis Considering Siting Constraints on Variable Renewable Energy—
    Takashi Otsuki, Hideaki Obane, Yasuaki Kawakami, Kei Shimogori, Yuji M ...
    2022 Volume 142 Issue 7 Pages 334-346
    Published: July 01, 2022
    Released on J-STAGE: July 01, 2022
    JOURNAL RESTRICTED ACCESS

    This study investigated cost-effective energy mix for realizing net zero CO2 emissions in Japan by 2050, employing an energy system optimization model with hourly electricity balances. The detailed temporal resolution enables the model to capture intermittency of variable renewable energy (VRE) and costs of system integration measures. Siting constraints on VRE, such as prohibiting solar PV and onshore wind developments in forest and offshore wind developments inside fishery rights area, are incorporated in the model to reflect the environmental protection and social acceptance perspectives. Simulation results imply that a well-balanced power generation mix, combining renewables, nuclear, gas-fired with carbon capture and storage, as well as ammonia-fired, would contribute to curbing mitigation costs. In contrast, a simulation case with very high VRE penetration poses economic challenges. Average shadow price of electricity in 2050 in a 100% renewables case (RE100) is projected to be more than doubled from a reference case which is based on middle-of-the-road assumptions. Marginal CO2 abatement cost in 2050 increases from 49,200 JPY/tCO2 in the reference case to 75,300 JPY/tCO2 in the RE100 case. The economic viability of high VRE penetration is improved by relaxing the siting constraints, although it may raise environmental and social concerns.

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  • Yoh Yasuda, Daigo Yonetsu, Toshiaki Fujii
    2022 Volume 142 Issue 7 Pages 347-359
    Published: July 01, 2022
    Released on J-STAGE: July 01, 2022
    JOURNAL RESTRICTED ACCESS

    Offshore wind power plants has gotten attention worldwide as one of key technology for future energy mix. Recent Japanese policy also promotes offshore wind power plants (OWPPS) on costal waters in the Sea of Japan. On the other hand, those areas are known by notorious winter lightning with upward lightning and large electric charge, that has caused catastrophic damages to onshore wind turbines in past. It is therefore needed stronger lightning risk management for offshore wind turbines than that for onshore. The authors proposed a lightning protection method using an independent lightning tower (ILT) and have stored experience by numerical calculations and small-scale model experiments. However, there still remain several uncertainties in the given data. This paper proposes a new method on CBA (cost-benefit analysis) regarding with the uncertainty. In the concrete, a probability density function, e.g. Gauss Function, is superimposed on quasi-quantitative data with several uncertainty given by experiment tests, which enable optimization of net benefit and objective and quantitative decision making for appropriate risk management even under uncertainty.

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