Scalability and replicability analysis of large-scale smart grid implementations: Approaches and proposals in Europe

Rodriguez-Calvo, Andrea; Cossent, Rafael; Frías, Pablo

doi:10.1016/j.rser.2018.03.041

Cited by 27 publications

(18 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is estimated that investments in SG technologies had reached €3.15 billion in Europe by the end of 2014, underlining their growing significance . The impact of SG projects and their suitability for large‐scale applications has been investigated, such as by Rodriguez‐Calvo et al…”

Section: Resultsmentioning

confidence: 99%

“…It is estimated that investments in SG technologies had reached €3.15 billion in Europe by the end of 2014, underlining their growing significance. 113 The impact of SG projects and their suitability for large-scale applications has been investigated, such as by Rodriguez-Calvo et al 23 Within SGs, the devices of DEPs can be used to provide flexibility by • Transferring energy between the energy sectors within the SES • Support of RES integration if controlled flexibly • Support of wind integration even if not controlled flexibly 24,[36][37][38] • Causation of more frequent and higher peaks • Least-cost operation results in less RES friendliness [38][39][40] • Load shifting possibilities if operated flexibly • Reduction of required reserve capacity 24,37 • Dependency on storage type and size, control strategy and building physics 24,38,41 • Voltage regulation • Increased efficiencies in virtual power plants 5,37,38,40,42 • Suitability limited to low-temperature heat markets in DH 43 • High efficiency • Increased flexibility in DH 36,37,40,41,44,45 • Efficiency losses caused by flexible HP operation 41,46 • Integration of RES 36,47,48 • Not suited for wind power integration 40,49 • Increase in supply security [50][51][52] • Risk averse operation of CHPs causes less profit through flexibility programs 53 • Voltage and frequency regulation • Reduction of system operation cost •...…”

Section: Results Of Qualitative Analysismentioning

confidence: 99%

See 1 more Smart Citation

Locating experts and carving out the state of the art: A systematic review on Industry 4.0 and energy system analysis

et al. 2019

View full text Add to dashboard Cite

Summary As Germany's manufacturing industry highly depends on international competitiveness, German companies must rapidly assimilate to current processes of digitization and so‐called Industry 4.0. These processes will also affect the German energy system. Understanding and predicting the implications of these changes is one of the core elements of energy system analysis. To address this issue, herein, we present a structured and systematic review of literature within the intersection of industrial digitalization in the sense of Industry 4.0 and scientific energy system analysis. The goals of this study are (1) to reveal the locations and institutions of relevant experts and (2) to carve out the current state of the art with regard to technologies that enable (digitized) industries to interact with the energy system in order to contribute to a smart energy system. Our approach is based on a systematic and reproducible keyword search using the scientific literature database Scopus. Both a quantitative evaluation and a qualitative evaluation of the relevant literature are conducted. The quantitative results are presented using GIS‐based visualizations. This facilitates us to identify the European Union as main contributor on a global level and the United Kingdom as the most prolifically publishing country within the European Union. Focusing on Germany, we find North Rhine‐Westphalia to be the most scientifically active area and Aachen/Dortmund to be the cities where most publications originate. In the qualitative, content‐based part of this review, we show that in particular sector coupling and the integration of distributed energy prosumers can lead to a working smart energy system. We demonstrate that industrial digitalization processes in the sense of Industry 4.0 can serve as enabling factor in this respect. Further, we provide extensive summaries regarding both the technological and economic potentials and challenges of different technologies in future smart energy systems. Taking all of the results into account, we outline a framework to connect the highly discussed topics of digitalized industries and smart energy systems to corresponding experts.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Results Of Qualitative Analysismentioning

confidence: 99%

Locating experts and carving out the state of the art: A systematic review on Industry 4.0 and energy system analysis

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Currently, most studies available in literature put an emphasis on the analysis of the scalability and replicability of smart grid implementations. Some characteristic studies are those of Calvo et al [38] and Sigrist et al [39].…”

Section: Scalability and Replicability Analysismentioning

confidence: 99%

A Methodological Framework for the Selection of Key Performance Indicators to Assess Smart City Solutions

et al. 2019

View full text Add to dashboard Cite

Smart and sustainable cities are expected to form a cornerstone for achieving resource efficiency and sustainability worldwide. In this specific study we introduce a holistic framework for determining a repository of key performance indicators (KPIs) that are able to evaluate both business-as-usual and novel technologies and services related to smart city solutions. The framework includes six steps: (a) Clustering of the technology/service solutions into groups called Transition Tracks; (b) definition of the main groups of stakeholders; (c) definition of KPIs dimensions (or domains); (d) definition of KPIs repository per dimension; (e) definition of the scope of evaluation per KPI; and (f) threshold definition per KPI. The implementation of the proposed framework led to the development of a repository of 75 KPIs categorized in six dimensions (technical, environmental, economic, social, ICT and legal KPIs) with the corresponding levels of assessment and stakeholders’ group of interest. The proposed repository can serve as a great basis for similar projects to monitor and evaluate the performance of their solutions. Tips and guidance based on the actual implementation and lessons learned from a smart city project are provided.

show abstract

“…Power system applications (e.g., [44,79,83]) usually select scenarios so as to reflect particular high-stress grid configurations (e.g., the worst-case "generation peak and load valley" daily scenario), as well as to forecast some future network evolution (e.g., foreseen electric vehicle penetration, electricity demand or emission prices). Moreover, the so-called Scalability and Replicability Analysis (SRA) often adopts scenario analysis to evaluate the future potential of promising smart grid implementations and identify economic/regulatory barriers [84].…”

Section: Scenario Analysismentioning

confidence: 99%

Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started

2021

View full text Add to dashboard Cite

Power systems are increasingly affected by various sources of uncertainty at all levels. The investigation of their effects thus becomes a critical challenge for their design and operation. Sensitivity Analysis (SA) can be instrumental for understanding the origins of system uncertainty, hence allowing for a robust and informed decision-making process under uncertainty. The SA value as a support tool for model-based inference is acknowledged; however, its potential is not fully realized yet within the power system community. This is due to an improper use of long-established SA practices, which sometimes prevent an in-depth model sensitivity investigation, as well as to partial communication between the SA community and the final users, ultimately hindering non-specialists’ awareness of the existence of effective strategies to tackle their own research questions. This paper aims at bridging the gap between SA and power systems via a threefold contribution: (i) a bibliometric study of the state-of-the-art SA to identify common practices in the power system modeling community; (ii) a getting started overview of the most widespread SA methods to support the SA user in the selection of the fittest SA method for a given power system application; (iii) a user-oriented general workflow to illustrate the implementation of SA best practices via a simple technical example.

show abstract

Scalability and replicability analysis of large-scale smart grid implementations: Approaches and proposals in Europe

Cited by 27 publications

References 24 publications

Locating experts and carving out the state of the art: A systematic review on Industry 4.0 and energy system analysis

Locating experts and carving out the state of the art: A systematic review on Industry 4.0 and energy system analysis

A Methodological Framework for the Selection of Key Performance Indicators to Assess Smart City Solutions

Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started

Contact Info

Product

Resources

About