Arabian Journal for Science and Engineering, Год журнала: 2024, Номер unknown
Опубликована: Июль 30, 2024
Язык: Английский
Energies, Год журнала: 2024, Номер 17(11), С. 2534 - 2534
Опубликована: Май 24, 2024
Behind the meter (BTM) distributed energy resources (DERs), such as photovoltaic (PV) systems, battery storage systems (BESSs), and electric vehicle (EV) charging infrastructures, have experienced significant growth in residential locations. Accurate load forecasting is crucial for efficient operation management of these resources. This paper presents a comprehensive survey state-of-the-art technologies models employed process BTM DERs recent years. The review covers wide range models, from traditional approaches to machine learning (ML) algorithms, discussing their applicability. A rigorous validation essential ensure model’s precision reliability. Cross-validation techniques can be utilized reduce overfitting risks, while using multiple evaluation metrics offers assessment predictive capabilities. Comparing predictions with real-world data helps identify areas improvement further refinement. Additionally, U.S. Energy Information Administration (EIA) has recently announced its plan collect electricity consumption identified U.S.-based crypto mining companies, which exhibit abnormal patterns due rapid fluctuations. Hence, some case studies been presented that focus on irregular buildings equipped DERs. These activities underscore importance implementing robust anomaly detection address deviations typical usage profiles. Thus, our proposed framework, DERs, considering smart meters (SMs). Finally, thorough exploration potential challenges emerging based artificial intelligence (AI) large language (LLMs) suggested promising approach.
Язык: Английский
Процитировано
2
Journal of Energy Storage, Год журнала: 2024, Номер 94, С. 112433 - 112433
Опубликована: Июнь 14, 2024
Язык: Английский
Процитировано
2
Опубликована: Янв. 1, 2023
Effective battery operation management and scheduling strategies are crucial for optimizing utilization in residential grid-connected applications, addressing the ongoing challenge how to enhance value this context ensure sustained profitability. This study proposes two day-ahead maximize profitability by factoring revenue gains, operation-dependent degradation cost, lifetime, real-time-pricing electricity tariffs, as well their interconnected effects. Each scenario employs unique approaches make optimal decisions utilization. The first aims optimize short-term prioritizing gains under three charge/discharge rates (high, moderate, low). Conversely, second a smart strategy capable of making intelligent on wide range decision-variables simultaneously daily minimize costs, ensuring long-term To effective assessment, both scenarios employ battery-behavior-aware accurately monitor performance, calendric cyclic capacity degradations, internal-states, capturing impact real operational conditions until reaches its end-of-life criteria. assessed economically using various indicators: total-revenue, -profit over estimated profitability-index, profitability-per-energy-installed, payback-period. Furthermore, price size impacts optimization outcomes examined. key findings showcase that strike balance between achieves impressive profit (18-20€/kWh/yr), short payback, extended lifespan, contrasting revenue-focused scenarios, owners applications. offer valuable insights decision-makers, enabling informed strategic choices profitable solutions.
Язык: Английский
Процитировано
5
Energies, Год журнала: 2024, Номер 17(12), С. 3052 - 3052
Опубликована: Июнь 20, 2024
The European Union, in pursuit of the goal reducing emissions by at least 55% 2030 and achieving climate neutrality 2050, is deploying different actions, with industry decarbonization as a key strategy. However, increasing electricity demand requires an intensification energy generation from clean technologies, system’s expansion hindered renewable generation’s climatic dependencies imperative for substantial electrical infrastructure investments. Although transmission grid expected to grow, flexibility mechanisms innovative technologies need be applied avoid overwhelming growth. In this context, paper presents thorough assessment, conducted within FLEXINDUSTRIES project, potential across seven energy-intensive industries (automotive industry, biofuel production, polymer manufacturing, steel mills, pharmaceutical cement production). methodology followed during analysis entails reviewing state-of-the-art existing mechanisms, industries’ markets engagement, technical/operational readiness. results highlight feasibility proposed actions enabling market through demand-response programs, quantifying opportunities, pinpointing regulatory technical barriers.
Язык: Английский
Процитировано
1
Arabian Journal for Science and Engineering, Год журнала: 2024, Номер unknown
Опубликована: Июль 30, 2024
Язык: Английский
Процитировано
1