Estimating the economic costs of nuclear power plant outages in a regulated market using a latent factor model

Power-to-X is one of the most attention-grabbing topics in the energy sector. Researchers are exploring the potential of harnessing power from renewable technologies and converting it into fuels used in various industries and the transportation sector. With the current market and research emphasis on Power-to-X and the accompanying substantial investments, a review of Power-to-X is becoming essential. Optimization will be a crucial aspect of managing an energy portfolio that includes Power-to-X and electrolysis systems, as the electrolyzer can participate in multiple markets. Based on the current literature and published reviews, none of them adequately showcase the state-of-the-art optimization algorithms for energy portfolios focusing on Power-to-X. Therefore, this paper provides an in-depth review of the optimization algorithms applied to energy portfolios with a specific emphasis on Power-to-X, aiming to uncover the current state-of-the-art in the field.

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“…Additionally to the forecast, there are also market uncertainties related to unexpected outages of production plants, large consumers, etc. [36].…”

Section: Forecast and Market Uncertaintiesmentioning

confidence: 99%

Review of Energy Portfolio Optimization in Energy Markets Considering Flexibility of Power-to-X

2023

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“…The installation of large-scale solar panels and giant windmills in villages or nature for producing sustainable and eco-friendly energy to replace carbon results in opposition from residents and nature conservation groups [9]. Moreover, the decline in nuclear energy production due to the nuclear phase-out policy has led to a sharp increase in energy costs because of an imbalance in energy supply and insufficient energy production [10,11]. In response to the duality of sustainable development through artificial intervention, sustainable development is implemented with minimal intervention.…”

Section: Introductionmentioning

confidence: 99%

Reinventing Sustainable Neighborhood Planning: A Case Study of Le Rheu, France

Choi

2024

Buildings

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This study focuses on sustainable development in urban planning and develops a 21st century sustainable neighborhood. For empirical neighborhood design, urban design was conducted on a specific 5.2 ha site in Le Rheu Commune, France. Targeting a site with the attributes of ecologically based sustainable urban planning, this study derived a neighborhood design model using sustainable development strategy methods from environmental, economic, and social perspectives. Consequently, an infrastructure-based design was created, integrating and accommodating the infrastructure and various urban amenities necessary for the neighborhood. Additionally, infrastructure within the neighborhood was proposed as a design element for technology-based sustainable urban planning. This is a novel, empirical study based on urban planning theory. This theory-based empirical research model contributes to urban planning theory and the knowledge of urban planners and architects. Future studies should conduct urban planning research that combines sustainable neighborhood planning based on ecological infrastructure, as attempted in Le Rheu Commune, with the IoT, such as smart home care.

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Carbon emission fluctuations of Chinese inter-regional interaction: a network multi-hub diffusion perspective

Ni²,

Chen³

2023

Environ Sci Pollut Res

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Estimating the economic costs of nuclear power plant outages in a regulated market using a latent factor model

Cited by 4 publications

References 27 publications

Review of Energy Portfolio Optimization in Energy Markets Considering Flexibility of Power-to-X

Review of Energy Portfolio Optimization in Energy Markets Considering Flexibility of Power-to-X

Reinventing Sustainable Neighborhood Planning: A Case Study of Le Rheu, France

Carbon emission fluctuations of Chinese inter-regional interaction: a network multi-hub diffusion perspective

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