scholarly journals Smart Energy Transition: An Evaluation of Cities in South Korea

Informatics ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. 50 ◽  
Author(s):  
Yirang Lim ◽  
Jurian Edelenbos ◽  
Alberto Gianoli

One positive impact of smart cities is reducing energy consumption and CO2 emission through the use of information and communication technologies (ICT). Energy transition pursues systematic changes to the low-carbon society, and it can benefit from technological and institutional advancement in smart cities. The integration of the energy transition to smart city development has not been thoroughly studied yet. The purpose of this study is to find empirical evidence of smart cities’ contributions to energy transition. The hypothesis is that there is a significant difference between smart and non-smart cities in the performance of energy transition. The Smart Energy Transition Index is introduced. Index is useful to summarize the smart city component’s contribution to energy transition and to enable comparison among cities. The cities in South Korea are divided into three groups: (1) first-wave smart cities that focus on smart transportation and security services; (2) second-wave smart cities that provide comprehensive urban services; and (3) non-smart cities. The results showed that second-wave smart cities scored higher than first-wave and non-smart cities, and there is a statistically significant difference among city groups. This confirms the hypothesis of this paper that smart city development can contribute to the energy transition.

Author(s):  
Makeri Yakubu Ajiji ◽  
Xi’an Jiaotong Victor Chang ◽  
Targio Hashem Ibrahim Abaker ◽  
Uzorka Afam ◽  
T Cirella Giuseppe

Today the world is becoming connected. The number of devices that are connected are increasing day by day. Many studies reveal that about 50 billion devices would be connected by 2020 indicating that Internet of things have a very big role to play in the future to come Considering the perplexing engineering of Smart City conditions, it ought not to be failed to remember that their establishment lies in correspondence advancements that permit availability and information move between the components in Smart City conditions. Remote interchanges with their capacities speak to Smart City empowering advancements that give the open door for their fast and effective execution and extension as well. The gigantic weight towards the proficient city the board has triggered various Smart City activities by both government and private area businesses to put resources into Information and Communication Technologies to discover feasible answers for the assorted chances and difficulties (e.g., waste the executives). A few specialists have endeavored to characterize a lot of shrewd urban areas and afterward recognize openings and difficulties in building brilliant urban communities. This short article likewise expresses the progressing movement of the Internet of Things and its relationship to keen urban communities. Advancement in ICT and data sharing innovation are the drivers of keen city degree and scale. This quick development is changing brilliant city development with the beginning of the Internet of Things (IoT). This transformation additionally speaks to difficulties in building (Kehua, Li, and Fu ,Su et al.1). By knowing the attributes of specific advances, the experts will have the occasion to create proficient, practical, and adaptable Smart City frameworks by actualizing the most reasonable one.


Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6615
Author(s):  
Sam Preston ◽  
Muhammad Usman Mazhar ◽  
Richard Bull

Cities constitute three quarters of global energy consumption and the built environment is responsible for significant use of final energy (62%) and greenhouse gas emissions (55%). Energy has now become a strategic issue for local authorities (LAs) and can offer savings when budget cuts have threatened the provision of core services. Progressive LAs are exploring energy savings and carbon reduction opportunities as part of the sustainable and smart city agenda. This paper explores the role of citizens in smart city development as “buildings don’t use energy: people do”. Citizens have the potential to shape transitions towards smart and sustainable futures. This paper contributes to the growing evidence base of citizen engagement in low carbon smart cities by presenting novel insights and practical lessons on how citizen engagement can help in smart city development through co-creation with a focus on energy in the built environment. A case study of Nottingham in the UK, a leading smart city, is analysed using Arnstein’s Ladder of Citizen Participation. Nottingham City Council (NCC) has pledged to keep “citizens at the heart” of its plans. This paper discusses learnings from two EU funded Horizon 2020 projects, REMOURBAN (REgeneration MOdel for accelerating the smart URBAN transformation) and eTEACHER, both of which aimed to empower citizens to reduce energy consumption and co-create smart solutions. Although these two projects are diverse in approaches and contexts, what unites them is a focus on citizen engagement, both face to face and digital. REMOURBAN has seen a “whole house” approach to retrofit in vulnerable communities to improve liveability through energy efficiency. User interaction and co-creation in eTEACHER has provided specifications for technical design of an energy saving App for buildings. eTEACHER findings reflect users’ energy needs, understanding of control interfaces, motivations for change and own creative ideas. Citizens were made co-creators in eTEACHER from the beginning through regular communication. In REMOURBAN, citizens had a role in the procurement and bidding process to influence retrofit project proposals. Findings can help LAs to engage demographically diverse citizens across a variety of buildings and communities for low carbon smart city development.


R-Economy ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 40-49
Author(s):  
Young-Sang Choi ◽  

Research relevance. The article discusses the experience of South Korea in the sphere of smart city projects. The study's relevance is determined, on the one hand, by the role smart cities play in the creation of the new urban living space, in enhancement of urban economy and, on the other, by the need to analyze and systematize the best practices of smart city development. Research aim. The study describes the development of the 'smart city' concept in South Korea. Smart city is understood as a complex eco-system, which, on the one hand, comprises a range of technological and socio-economic processes and, on the other, involves such actors as government, corporations, research organizations and urban communities. Data and methodology. The study relies on methods of comparative and evolutionary analysis to analyze the concept of smart city and its structure by focusing on the case of South Korea, the world's renowned ICT leader. The study also provides cross-national comparisons of the experience of other developed Asian countries (Japan and China), which, like South Korea, are actively supporting building of smart cities on the state level. Results. The study describes the main stages in the development of the smart city concept in South Korea as well as the main types of smart city projects (pilot projects, research validation projects, and city restoration projects). The study identifies problems of planning, design and implementation of smart city projects and compares the relevant experience of South Korea, Japan and China. It is shown that although smart city projects in these countries were launched in approximately the same period, each of these countries has its own approach to smart cities and ways of their development. Conclusions. The key to Korea's success in smart city development lies in large-scale direct state support, public trust in the government and the application of an integrated approach to smart city development. At the current stage, smart city services not only provide enhanced comfort to city dwellers but also create more opportunities for their personal growth.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2430 ◽  
Author(s):  
Alaa Alsaig ◽  
Vangalur Alagar ◽  
Zaki Chammaa ◽  
Nematollaah Shiri

Smart city is an emerging initiative for integrating Information and Communication Technologies (ICT) in effective ways to support development of smart cities with enhanced quality of life for its citizens through safe and secure context-aware services. Major technical challenges to realize smart cities include resource use optimization, service delivery without interruption at all times in all aspects, minimization of costs, and reduction of resource consumption. To address these challenges, new techniques and technologies are required for modeling and processing the big data generated and used through the underlying Internet of Things (IoT). To this end, we propose a data-centric approach to IoT in conceptualizing the “things” from a service-oriented perspective and investigate efficient ways to identify, integrate, and manage big data. The data-centric approach is expected to better support efficient management of data with complexities inherent in IoT-generated big data. Furthermore, it supports efficient and scalable query processing and reasoning techniques required in development of smart city applications. This article redresses the literature and contributes to the foundations of smart cities applications.


2019 ◽  
Author(s):  
Adriano Bisello ◽  
◽  
Daniele Vettorato ◽  

The European Union is in the process of updating its energy policy and legislative framework under the motto “Clean Energy for All Europeans”. This will facilitate the low carbon energy transition, make it fit for the 21st century, and delivering the EU’s Paris Agreement commitments. Besides expected climate-energy benefits, the EU narrative is introducing new elements to persuade citizens and stakeholders to change their perspective, shifting the general perception from mitigation costs to development opportunities. For example, impact assessment of the new directives estimated that they would generate 900,000 jobs and an increase of up to 1% in EU GDP over the next decade. However, this is just one among several multiple benefits that could be gained thanks to the smart energy transition of cities and neighborhoods (e.g. increased value of refurbished properties, improved health and well-being, enhanced social cohesion, etc.) Starting from this premise, the ongoing research will analyses 12 ongoing EU smart cities and communities projects started between 2014 and 2017, in order to investigate their capability in using the multiple benefits as an effective communication tool, or even including them among the key performance indicators to be used in the assessment phase. In that respect, the Positive energy district concept that permeates the smart city approach of latest calls for funding provides, even more, an interesting nexus and testbed opportunity for EU ambitions. However, ongoing and future projects need to be understood not only as marketing devices for new energy efficient technologies but powerful tools requiring a radical change in management and planning of cities and urban life. In this way, positive energy districts including good habits and behaviors of urban citizens will provide equitable solutions and clear benefits for all.


2017 ◽  
Vol 11 (3) ◽  
pp. 377-392 ◽  
Author(s):  
Adriana Zait

Purpose The purpose of this paper was to identify the main necessary competences for smart cities’ development. From their inception until now, smart cities are striving to clarify their identity and become better, and thus, smarter. The whole process is in many ways similar to the journey of a child in his quest of growing into a smart adult, with the help of parents and support from educators. But it is not easy to tell how we, as citizens, through civic, educational and governance structures, raise smart cities. What competences do we need? This was the main question for the present essay, generated from several theoretical and practical experiences. Design/methodology/approach In this study, literature analysis, synthesis and theoretical inferences, for the smart city problematiques, and induction and exploratory qualitative analysis, for soft, civilizational competences, were used. Findings The main conclusion is that the literature still associates the smart city especially with its hard dimension, the highly developed and intelligent technologies, including information and communication technologies (ICTs), despite a growing number of studies dedicated to the soft, human and social capital component. The intangible, soft component – the human actor – plays an equally, if not even more important role, through mechanisms affecting all classical dimensions of smart cities (smart economy, people, governance, mobility, environment, living). Civilizational competences, soft skills or human-related characteristics of cities strongly influenced by culture (at national, regional, organizational and individual levels) are crucial for the development of smart and competitive cities. Civilizational competences are grouped into four categories: enterprise culture, discoursive culture, civic culture and daily culture. If we want to make our cities smart, we need to develop these competences – first define them, then identify their antecedents or influence factors and measure them. Research limitations/implications The study has several limits. First, the exploratory nature in itself, with many inductive and abductive suppositions that will need further testing. Second, the literature selection has a certain degree of subjectivity owing to the fact that besides the common, classical theory of smart cities, the authors were particularly interested in rather heterodox opinions about the subject, which lead them to the inclusion of singular or isolated points of view on narrower issues. Practical implications The findings of this exploratory conceptual essay could be used for further testing of hypotheses on the relationship between civilizational competences and smart cities’ development. Social implications Local and regional administrations could use the results to increase civil society’s involvement in the development of smart cities. Originality/value The study points out some new connections and relations for the smart city problematiques, and explicitly suggests relating the development of smart cities to the development of civilizational competences, as a complex category of factors going beyond the unique dimension of “people” or “human and social capital” from the smart cities literature. It is an exploratory outcome, generating new research hypotheses for the relationships between smart city development and culture-related factors grouped under the “cities” civilizational competences’ label.


2020 ◽  
pp. 50-62
Author(s):  
K.S. Teteryatnikov ◽  
S.G. Каmolov ◽  
A.A. Pyatova

The article is meant to analyze various strategies and models for the development of smart cities, as well as the concept of project financing of smart cities, proposed by Pietro Doran, one of the founding partners of the world’s first smart city built from scratch in South Korea — Songdo. The authors believe that Songdo’s financing model, based on P. Doran’s Project Model can be considered as an effective way to attract investment in greenfield projects for the development of «smart cities» in Russia on the basis of public-private partnership.


Buildings ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 78
Author(s):  
Daria Uspenskaia ◽  
Karl Specht ◽  
Hendrik Kondziella ◽  
Thomas Bruckner

Without decarbonizing cities energy and climate objectives cannot be achieved as cities account for approximately two thirds of energy consumption and emissions. This goal of decarbonizing cities has to be facilitated by promoting net-zero/positive energy buildings and districts and replicating them, driving cities towards sustainability goals. Many projects in smart cities demonstrate novel and groundbreaking low-carbon solutions in demonstration and lighthouse projects. However, as the historical, geographic, political, social and economic context of urban areas vary greatly, it is not always easy to repeat the solution in another city or even district. It is therefore important to look for the opportunities to scale up or repeat successful pilots. The purpose of this paper is to explore common trends in technologies and replication strategies for positive energy buildings or districts in smart city projects, based on the practical experience from a case study in Leipzig—one of the lighthouse cities in the project SPARCS. One of the key findings the paper has proven is the necessity of a profound replication modelling to deepen the understanding of upscaling processes. Three models analyzed in this article are able to provide a multidimensional representation of the solution to be replicated.


Work ◽  
2021 ◽  
pp. 1-12
Author(s):  
Zhang Mengqi ◽  
Wang Xi ◽  
V.E. Sathishkumar ◽  
V. Sivakumar

BACKGROUND: Nowadays, the growth of smart cities is enhanced gradually, which collects a lot of information and communication technologies that are used to maximize the quality of services. Even though the intelligent city concept provides a lot of valuable services, security management is still one of the major issues due to shared threats and activities. For overcoming the above problems, smart cities’ security factors should be analyzed continuously to eliminate the unwanted activities that used to enhance the quality of the services. OBJECTIVES: To address the discussed problem, active machine learning techniques are used to predict the quality of services in the smart city manages security-related issues. In this work, a deep reinforcement learning concept is used to learn the features of smart cities; the learning concept understands the entire activities of the smart city. During this energetic city, information is gathered with the help of security robots called cobalt robots. The smart cities related to new incoming features are examined through the use of a modular neural network. RESULTS: The system successfully predicts the unwanted activity in intelligent cities by dividing the collected data into a smaller subset, which reduces the complexity and improves the overall security management process. The efficiency of the system is evaluated using experimental analysis. CONCLUSION: This exploratory study is conducted on the 200 obstacles are placed in the smart city, and the introduced DRL with MDNN approach attains maximum results on security maintains.


2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>


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