Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids

The ongoing electrification of the transport sector is expected to cause an increase in electricity demand and, therefore, trigger significant network investments to accommodate it. This paper focuses on investment decision-making for electricity distribution grids and specifically on the strategic and incremental investment network planning approaches. In particular, the former involves network planning with the consideration of a long-term multi-stage study horizon, as opposed to a shorter–term view of the future that applies to the latter case. An investment analysis that is carried out underlines the economic savings generated from adopting a strategic investment perspective over an incremental one. These economic savings are achieved from the fact that the associated fixed investment costs are incurred only once in the horizon under strategic planning. On the other hand, incremental planning involves a series of network reinforcement decisions, thereby incurring the fixed cost multiple times. In addition, sensitivity analyses that are carried out capture the effect of key parameters, such as investment cost, discount rate and investment delay, on the generated economic savings.

Section: Discussionmentioning

confidence: 99%

Investments in Electricity Distribution Grids: Strategic versus Incremental Planning

Giannelos,

Zhang,

Pudjianto

et al. 2024

“…Höysniemi [56], Svobodova et al [57], and Ankrah et al [58]'s investigation into the geopolitical aspects adds another layer of complexity to the energy transition landscape. Furthermore, studies like those by Lamnatou et al [59], Giannelos et al [60], and Dileep [61] highlight the integral role of digital technologies, such as smart grids, in optimizing energy use, although Ivanova et al [62], Borle et al [63], and Rolandi et al [64] caution that the impacts of digitalization can vary across different socio-economic settings. The financial aspects, including investment strategies and market dynamics, are explored in depth by Qadir et al [65], Capellán-Pérez et al [66], and Tagliapietra et al [67], offering insight into the economic factors influencing the adoption of renewable energy.…”

Section: Literature Reviewmentioning

confidence: 99%

Digitization Meets Energy Transition: Shaping the Future of Environmental Sustainability

Wang,

He,

2024

This paper presents an empirical investigation into the effects of energy transition and digitization on carbon dioxide emissions, serving as a proxy for environmental sustainability, across 28 Chinese provinces from 2000 to 2021. Utilizing both static and dynamic regression analyses, the study reveals a significant driving effect of the energy transition on environmental sustainability, primarily through a reduction in carbon dioxide emissions. Notably, this influence is more pronounced in the eastern region of China, followed by the central and western regions, indicating regional heterogeneity in the impact of the energy transition. Furthermore, digitization is found to have a substantial moderating effect, enhancing energy conservation and emission reductions. As digitization progresses, its capability to diminish the impact of energy transitions on carbon dioxide emissions becomes more apparent, particularly in the eastern region, while this effect is less marked in central and western China. The study also delves into the nonlinear relationship between energy transitions and carbon dioxide emissions, discovering that increased levels of digitization can exacerbate the negative effects of energy transitions on emissions. These findings offer valuable insights into the dynamics of energy transition and digitalization, highlighting their crucial roles in shaping environmental sustainability in China.

“…Deploying these renewable energy technologies is seen as a remedy, and if not viewed holistically, it might risk the system's sustainability [12,37]. The essence of energy management in microgrids underscores the necessity for a comprehensive approach encompassing production, storage, distribution, and usage [37][38][39].…”

Section: Patent Marketmentioning

confidence: 99%

Specialization Patterns for the Development of Renewable Energy Generation Technologies across Countries

Grigorescu,

Lopez Ruiz,

Lincaru

et al. 2023

Renewable energy is a global priority, as it addresses the goals of carbon neutrality and plays an important role in reshaping energy mixes. The shift from fossil fuels to renewable energy sources (solar, photovoltaic, geothermal, hydropower, wind, and biomass) must be performed without negatively affecting economic growth or our quality of life. Renewable energy-generating technologies (patents) and their implementation (commercialization and usage) play essential roles, as they are the main steps in the process of the transition from conventional to emerging technologies. The decreased usage of fossil fuels, the objectives of the European Green Deal, and other constraints have pushed countries to seek innovative solutions. Depending on the available resources, these solutions involve a wide variety of approaches and may involve the emergence of specific patterns. This study addresses the identification of the cross-country features of specialization patterns in developing renewable energy generation technologies. The methods used are the analysis of the evolution of patent numbers with country fractional value, the application of the Herfindahl–Hirschman Index to renewable energy generation, and the use of the multivariate clustering spatial statistics tool combined with spatial representation. The findings show the differences between countries at the global level and, more specifically, at the EU level, by clustering the countries based on their specialization pattern of renewable energy generation technologies. EU countries belong to the same cluster at the international level, and the deep clustering model shows four patterns. Moreover, the findings highlighted the country profile to be used as a competitive advantage and the group of countries with the same or similar pattern that could be used as partners in implementing new technologies or as models for future actions. The geographical distribution of the specialization offers a picture of potential market development for patents and renewable energy technologies. The countries specialization is a hotspot for decision makers for further developments and policy design support.