1,721,081 research outputs found
Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning
Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning reviews research and policy developments surrounding the optimal operation and planning of DER in the context of local integrated energy systems in the presence of multiple energy carriers, vectors and multi-objective requirements. This assessment is carried out by analyzing impacts and benefits at local levels, and in distribution networks and larger systems. These frameworks represent valid tools to provide support in the decision-making process for DER operation and planning. Uncertainties of RES generation and loads in optimal DER scheduling are addressed, along with energy trading and blockchain technologies. Interactions among various energy carriers in local energy systems are investigated in scalable and flexible optimization models for adaptation to a number of real contexts thanks to the wide variety of generation, conversion and storage technologies considered, the exploitation of demand side flexibility, emerging technologies, and through the general mathematical formulations established
Optimal Bidding Strategy for a DER aggregator in the Day-Ahead Market in the presence of demand flexibility
The penetration of distributed energy resources (DER), including distributed generators, storage devices, and demand response (DR) is growing worldwide, encouraged by environmental policies and decreasing costs. To enable DER local integration, new energy players as aggregators appeared in the electricity markets. This player, acting toward the grid as one entity, can offer new services to the electricity market and the system operator by aggregating flexible DER involving both DR and generation resources. In this paper, an optimization model is provided for participation of a DER aggregator in the day-ahead market in the presence of demand flexibility. This player behaves as an energy aggregator, which manages energy and financial interactions between the market and DER organized in local energy systems (LES), which are in charge to satisfy the multienergy demand of a set of building clusters with flexible demand. A stochastic mixed-integer linear programming problem is formulated by considering uncertainties of intermittent DER facilities and day-ahead market price, to find the optimal bidding strategies while maximizing the expected aggregator's profit. Numerical results show that the method is efficient in finding the bidding curves in the day-ahead market through the optimal management of flexibility requests sent to clusters, as well as of DER in LES and interactions among LES
Conclusions and key findings of optimal operation and planning of distributed energy resources in the context of local integrated energy systems
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Challenges and Opportunities of the Energy Transition and the Added Value of Energy Systems Integration
This book addresses the topic of integrated energy systems and networks by also providing a comprehensive overview of the emerging technologies and systems that characterize this new energy paradigm. It discusses the energy transition toward a low- or even carbon-neutral energy system, which brings many challenges and opportunities, and the significant progress that is necessary for today's energy systems to change toward satisfying the needs of the society and the economy by becoming as environmentally sustainable as possible. Achieving this goal requires fully integrated energy systems able to supply low-carbon energy for all sectors from different energy sources, while integrating multiple energy carriers and exploiting the synergies coming from this interplay. An integrated energy system can be seen as a multi-energy system relaying on multiple energy carriers and characterized by a high level of integration between all related networks, supported by energy storage of different types and power conversion processes. The uniqueness of this book is in its holistic approach toward the concept of integrated energy systems, which will characterize the future energy system, by addressing the topic in a comprehensive way while also focusing the attention on the main emerging technologies playing a major role in integrated energy systems and networks
Influence of energy quality management on CO2 emissions in operation optimization of a distributed energy system
Efficiency of energy resource use is a key factor for a sustainable energy future. By matching the exergy levels of supply and demand, Energy Quality Management (EQM) of building energy supply systems may achieve more efficient use of energy resources. Beyond this, environmental impact of energy supply systems is another essential issue. This work addresses the influence of EQM on CO2 emissions in the operation optimization of a Distributed Energy System (DES). A multi-objective linear programming problem is formulated to reduce energy costs and increase the overall exergy efficiency. Total CO2 emissions are evaluated for the optimized operation strategies of the DES. The operators of the DES can choose the operation strategy from the Pareto front, based on their priorities and also aware of effects on CO2 emissions. Results demonstrate more efficient use of energy resources and reduction in CO2 emissions through EQM, as compared with conventional energy supply systems. © 2015 IEEE
- …
