![]() Delgado Fernandez, Joaquin ![]() ![]() ![]() in Applied Energy (2022), 326 With high levels of intermittent power generation and dynamic demand patterns, accurate forecasts for residential loads have become essential. Smart meters can play an important role when making these ... [more ▼] With high levels of intermittent power generation and dynamic demand patterns, accurate forecasts for residential loads have become essential. Smart meters can play an important role when making these forecasts as they provide detailed load data. However, using smart meter data for load forecasting is challenging due to data privacy requirements. This paper investigates how these requirements can be addressed through a combination of federated learning and privacy preserving techniques such as differential privacy and secure aggregation. For our analysis, we employ a large set of residential load data and simulate how different federated learning models and privacy preserving techniques affect performance and privacy. Our simulations reveal that combining federated learning and privacy preserving techniques can secure both high forecasting accuracy and near-complete privacy. Specifically, we find that such combinations enable a high level of information sharing while ensuring privacy of both the processed load data and forecasting models. Moreover, we identify and discuss challenges of applying federated learning, differential privacy and secure aggregation for residential short-term load forecasting. [less ▲] Detailed reference viewed: 79 (21 UL)![]() Roth, Tamara ![]() in Applied Energy (2022), 325 Blockchain is no longer just a hype technology, and effective blockchain applications exist in many industries. Yet, few blockchain projects have been successful in Europe’s energy systems. To identify ... [more ▼] Blockchain is no longer just a hype technology, and effective blockchain applications exist in many industries. Yet, few blockchain projects have been successful in Europe’s energy systems. To identify the reasons for this slow progress, we reviewed the recent energy literature regarding the use of blockchain, analyzed industry reports, and interviewed experts who have conducted blockchain projects in Europe’s energy systems. Our analysis reveals eight common use cases, their expected benefits, and the challenges encountered. We find that the expected benefits are often little more than generic hopes, largely outweighed by technological, organizational, and regulatory challenges. The identified challenges are significant and numerous, especially for peer-to-peer trading and microgrid use cases. The fact that few projects have yet provided robust evidence for profitable use suggests there is still a rocky road ahead. Moreover, many use cases appear to require more than just blockchain technology to succeed. In particular, privacy and scalability requirements often call for systems in which blockchains only take a backseat. This realization may be essential for the future use of blockchain technology in energy systems – in Europe and beyond. [less ▲] Detailed reference viewed: 36 (10 UL)![]() ; ; et al in Applied Energy (2021), 285 The first wave of the COVID-19 pandemic led to decreases in electricity demand and a rising share of Renewable Energy Sources in various countries. In Germany, the average proportion of net electricity ... [more ▼] The first wave of the COVID-19 pandemic led to decreases in electricity demand and a rising share of Renewable Energy Sources in various countries. In Germany, the average proportion of net electricity generation via Renewable Energy Sources rose above 55% in the first half of 2020, as compared to 47% for the same period in 2019. Given these altered circumstances, in this paper we analyze how the German and other European electricity systems behaved during the COVID-19 pandemic. We use data visualization and descriptive statistics to evaluate common figures for electricity systems and markets, comparing developments during the COVID-19 pandemic with those of previous years. Our evaluation reveals noticeable changes in electricity consumption, generation, prices, and imports/exports. However, concerning grid stability and ancillary services, we do not observe any irregularities. Discussing the role of various flexibility options during the COVID-19 pandemic, a relatively higher grid capacity resulting from a decreased electricity consumption, in particular, may have contributed to grid stability. [less ▲] Detailed reference viewed: 98 (9 UL)![]() ; ; et al in Applied Energy (2020) In many countries, industry is one of the largest consumers of electricity. Given the special importance of electricity for industry, a reliable electricity supply is a basic prerequisite for further ... [more ▼] In many countries, industry is one of the largest consumers of electricity. Given the special importance of electricity for industry, a reliable electricity supply is a basic prerequisite for further industrial development and associated economic growth. As countries worldwide transition to a low-carbon economy (in particular, by the development of renewable energy sources), the increasing fluctuation in renewable energy production requires new flexibility options within the electricity system in order to guarantee security of supply. It is advanced in this paper that such a flexibility transition with an active participation of industry in general has unique potential: It will not only promote green industrial development, but also become an engine for inclusive industrial development and growth as well as delivering a just transition to a low-carbon economy. Given the high potential of industrial demand-side flexibility, a first monitoring approach for such a flexibility transition is illustrated, which bases on a flexibility index. Our flexibility index allows for an indication of mis-developments and supports an appropriate implementation of countermeasures together with relevant stakeholders. Hence, it holds various insights for both policy-makers and practice with respect to how industrial demand-side flexibility can ensure advances towards an inclusive, just, and sustainable industrial development. [less ▲] Detailed reference viewed: 110 (11 UL)![]() Fridgen, Gilbert ![]() in Applied Energy (2018), 210 Residential microgrids are poised to play an important role in future distributed energy networks. However, energy retailers have yet to identify effective electricity tariffs to incorporate residential ... [more ▼] Residential microgrids are poised to play an important role in future distributed energy networks. However, energy retailers have yet to identify effective electricity tariffs to incorporate residential microgrids into the energy value chain. For this reason, we have chosen to analyze a set of twelve representative tariff options retailers might offer in the future. To examine their effects on load profiles and electricity bills, we set up a comprehensive empirical evaluation framework. Our analyses identify three important recommendations for residential microgrid pricing: First, energy retailers should not offer volumetric tariffs as they result in higher electricity bills, encourage sharp peak loads, and fail to fully allocate system costs. Second, they should also be cautious in offering time-varying and especially real-time rates. Although these rates promise slightly lower energy bills for microgrid operators, they can destabilize load profiles if retailers fail to simultaneously introduce peak-moderating capacity charges. Third, energy retailers should consider tariffs with capacity and customer charges, which we find to lower electricity costs, foster peak shaving, and facilitate stable cost allocation. [less ▲] Detailed reference viewed: 59 (3 UL)![]() ; Hansen, Joachim ![]() in Applied Energy (2017), 208 Studies and publications from the past ten years demonstrate that generally the energy efficiency of Waste Water Treatment Plants (WWTPs) is unsatisfactory. In this domain, efficient pump energy ... [more ▼] Studies and publications from the past ten years demonstrate that generally the energy efficiency of Waste Water Treatment Plants (WWTPs) is unsatisfactory. In this domain, efficient pump energy management can generate economic and environmental benefits. Although the availability of on-line sensors can provide high-frequency information about pump systems, at best, energy assessment is carried out a few times a year using aggregated data. Consequently, pump inefficiencies are normally detected late and the comprehension of pump system dynamics is often not satisfactory. In this paper, a data-driven methodology to support the daily energy decision-making is presented. This innovative approach, based on fuzzy logic, supports plant managers with detailed information about pump performance, and provides case-based suggestions to reduce the pump system energy consumption and extend pump life spans. A case study, performed on a WWTP in Germany, shows that it is possible to identify energy inefficiencies and case-based solutions to reduce the pump energy consumption by 18.5%. [less ▲] Detailed reference viewed: 64 (0 UL)![]() Fridgen, Gilbert ![]() ![]() in Applied Energy (2016), 180 Detailed reference viewed: 74 (8 UL) |
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