Preface
Page: ii-ii (1)
Author: Pijush Samui, Anasua GuhaRay and Elham Mahmoudi
DOI: 10.2174/9789815049077122010002
Information Modelling Technology
Page: 1-51 (51)
Author: Amirhooshang Fakhimi and Javad Sardroud Majrouhi*
DOI: 10.2174/9789815049077122010004
PDF Price: $15
Abstract
The permanent growth of urbanization will bring the world's urban
population to more than 68% of the world's population by 2050. This means that urban
problems will be elevated to a higher level than today. Improper and increasing
consumption of natural resources, increasing waste, malapropos design of urban
environments, asymmetric development of the urban area, infrastructure problems, low
productivity, and inadequate quality of life are some of the urban problems that must be
solved seriously and quickly. City 4.0 is a solution that has been implemented to solve
the urban area and urbanism problems. City 4.0, in which using smart digital
technologies in the context of industry 4.0 creates quicker control, real-time
information flow, and more sustainable urban planning in urban management. It keeps
the ability of future generations to meet their own needs and requirements while
meeting the current needs of people in all areas, such as economic, environmental, and
social areas. To achieve sustainable urban development goals and overcome barriers,
City Information Modeling (CIM), in which information modeling techniques are used
to prepare dynamic modeling, simulation, visualization, and analytics to present realtime responses for stakeholders' demands, has been coming out. In this chapter,
focusing on information modeling technologies, the necessary definitions for a smart
and sustainable city are provided, and by presenting the specifications of city 4.0, the
information modeling technologies used in it including blockchain, cloud computing,
fog/mist computing, edge computing, Building Information Modeling (BIM), spatial
information technology, cyber-physical systems, and digital twin are described. At the
end of this chapter, the characteristics of the city model (CI model) are stated in the
context of CIM and the challenges and barriers that must be overcome to increase the
quality of life are addressed
IoT Based Solar Mini-Grid for Smart Grid Infrastructure: An Imperative Facet of Smart City
Page: 52-59 (8)
Author: L Chhaya*
DOI: 10.2174/9789815049077122010005
PDF Price: $15
Abstract
Smart city can be characterised by its advanced facilities in the areas of
transportation, water supply, disaster management, electricity, pollution control,
drainage and waste management etc. Out of all these, energy is the most critical
requirement. Electricity is an essential resource in current era. High penetrations of
communication standards and technologies have broadened the scope of integration of
existing power infrastructure with ICT infrastructure. The most fundamental
prerequisite of empowerment is energy. A grid carries electrical energy from the power
generation division to consumer premises. The grid can be termed as ‘’Smart” if it is
capable of making decisions with its computational proficiencies. These proficiencies
are essential for optimization and reliable operation of the Smart grid. Energy
efficiency, power quality, fault diagnosis, self-healing, economy, security,
sustainability and reliability are the fundamental requirements of the power system.
Smart grid is one of the biggest technological revolutions around the world. It will play
a pivotal role in changing people’s lives. Smart grid can be termed as an ‘inclusive
technology’. Smart Grid technology has transformed the energy sector. It is
characterized by full duplex flow of energy and information with self-healing
capability. Smart grid is an integrated energy system with automation and regulation.
Integration of renewable energy resources with the power grid is the biggest challenge
for the traditional grid system. Instability and variability are the two critical challenges
for integrating renewable energy resources. Lack of real time information is also one of
the critical factors for monitoring renewable energy resources. This paper describes the
IoT based prototype design of a smart solar power system. In this paper, a solar minigrid is considered. The prototype is designed using IEEE 802.3 and IEEE 802.11
standards. It can be used for IoT based home area network of smart grid technology.
This paper is anticipated to provide an inclusive and experimental study of IoT based
renewable power system as an essential component of Smart city.
Signal Time Optimisation for a 3-Legged Urban Intersection in Developing Economies Using Branch and Bound Algorithm
Page: 60-75 (16)
Author: Ankita Sharma, Vinod Kumar Adigopula* and Sunny Deol Guzzarlapudi
DOI: 10.2174/9789815049077122010006
PDF Price: $15
Abstract
Urban road traffic at the intersection causes severe congestion problems and
causes delays for road users. Contending excessive delays at signalized intersections
due to traffic flow fluctuations has been recognized as one of the most challenging
issues for traffic engineers. The objective of this paper is to compare the conventional
signal design method (Ex: Webster and trial cycle method) and sophisticated method
using branch and bound algorithm of signal optimization technique. For a long time,
traffic delays, recursive branch and bound algorithm techniques prove an important
time optimization method of urban three legged regional traffic signal. This paper
provides useful information about signal time optimization techniques based on the
demographical features and existing traffic conditions and draws a corresponding flow
chart. In this article, one of the busiest three legged intersections was selected in the
city of Raipur. Practise has proven that in optimisation signal design branch and bound
algorithm of signal optimization has better performs in terms of signal optimization
cycle length.
Effect Of Rapid Urbanization On Water Quality: An Experimental Study From Indian Himalayan City, Gangtok
Page: 76-91 (16)
Author: Archana Sharma, Mayank Joshi*, Rajesh Joshi, Devendra Kumar, Mithilesh Singh, Kireet Kumar, Manisha Upreti and Saurabh Singh Barfal
DOI: 10.2174/9789815049077122010008
PDF Price: $15
Abstract
Sustainable urban development explains as 'scientific development' that
meets the needs of the present without compromising with the future. It can be
achieved by focusing on improvement, progress, and possible changes in the dimension
of environment and social consideration. With expanding urbanization, the
environmental quality is depleting worldwide. Like any other developing country,
urbanization in India is also a rapidly growing phenomenon, where people tend to
move to urban areas for better living standards. This ultimately has put more stress on
the urban areas/regions. The Himalayan region, one of the most marginalized mountain
regions of the world, has been experiencing rapid urban growth in recent times. In the
Eastern Himalaya, Sikkim is one of the biodiversity hotspots of India with high species
richness. Here the loss of biodiversity has been attributed in particular to
overpopulation and anthropogenic activities. Being the capital of Sikkim, Gangtok has
become one of the most rapidly urbanized towns of the state due to available urban
facilities and basic amenities. Despite rapid urban growth and unplanned construction
of houses and hotels, the pressure of heavy influx of tourists and other seasonal
migrants have put pressure on the carrying capacity of Gangtok town. This imposed a
major impact on different natural resources. Among those, it has a significant impact
on water sources and water supply catchment areas. The present research has been
carried out through a designed experimental questionnaire, which covers the different
aspects of water quality, water supply quantity and source of water in Gangtok
Municipal Corporation (GMC) in the last 2 decades. The results show that natural
water sources have been decreased. Now in all wards of the municipal area, the
municipality has provided a water supply. However, only a few numbers of houses
have their own supply from natural springs. The results further indicate that rapid
economic development, changing environment, and climate variability has increased
the vulnerability of natural resources. Therefore, it is very important to understand the
emerging issues related with natural resources for sustainable development.
Review On Water Scarcity Across Indian Himalayan Region
Page: 92-102 (11)
Author: Moon Moon Das, Saurabh Singh Barfal, Mayank Joshi*, Rajesh Joshi, Kireet Kumar and Devendra Kumar
DOI: 10.2174/9789815049077122010009
PDF Price: $15
Abstract
With the increasing space between need and supply of natural resources,
‘sustainability’ became the talk of the hour. The escalating population worldwide has
called for a judicial approach towards the usage of all kinds of non-renewable and
natural resources. In the race of the crisis of natural resources, water has marked a
striking position over the decades. The deficit for this elixir could be blamed on both
natural and anthropogenic causes. For the latter, choosing the unsustainable path for a
long time has made the crisis scenario worst than ever. The available amount of water
would have been sufficient had it been well-governed, regulated, supervised and used
in a prudential manner. India also has its fair share of water scarcity, especially in the
Indian Himalayan Region, along with many other countries of the world. The alarm of
deteriorating water was neglected for the longest time in IHR. Both the eastern and
western Himalayan states have their own story to tell about the crisis. Even after having
common reasons aiding the scarcity, there is end number of region-specific factors as
well. Certainly, those factors must be studied and taken into consideration. Rapid
urbanization in this fragile ecosystem has added to the aspects of water scarcity. It is
very necessary to have a unique and specific solution for all the states. Despite the
contribution mountains make towards feeding and sourcing a large number of perennial
rivers, the health of the mountainous ecosystem still remains inconspicuous. The rate at
which water scarcity is increasing might lead to a situation where the term ‘water’
becomes an endangered concept of the future generation. So, working towards making
a sustainable environment is a pressing priority. This review paper has shed light on
many factors of water scarcity across the states of the Indian Himalayan Region, along
with a comparative study on issues of both the eastern and western belt of IHR.
Consumption of Industrial Waste in Sustainable Development of Clean and Environmentally Friendly City Near an Industrial Area
Page: 103-119 (17)
Author: Sufyan Ghani and Sunita Kumari*
DOI: 10.2174/9789815049077122010010
PDF Price: $15
Abstract
Environmental sustainability has become an important problem due to
irrational consumption of natural resources and extensive wastes generation.
Urbanisation and industrialization have led to a substantial increase in the amount of
industrial wastes and their inappropriate disposal leads to serious environmental
impacts. Construction industry has the potential for using these wastes in accordance
with the sustainability of the environment. In view of the above, the present study
explores the effectiveness and bulk utilization of ferrochrome slag, a sort of industrial
waste used as a geo-material to improve soil strength by controlling foundation
settlement. To investigate the strength and deformation properties of strip footing lying
on ferrochrome slag waste, a series of model load tests with varying geotextile depths
were conducted. Furthermore, Artificial Intelligence (AI) based computational model
has been used for the prediction of settlement for different parameters and geotextile
layers. The use of computational models provides a new technique for accurately and
cost-effectively predicting footing settling. The findings show that using ferrochrome
slag as a ground improvement material is a cost-effective and environmentally friendly
way to recycle industrial waste and that AI-based computational models are highly
effective at predicting footing settlement and can be used as a reliable tool for
preliminary assessments. It also directs towards a clean and environmentally friendly
city near the industrial area.
Traditional and Modern Trends in Waste Management
Page: 120-137 (18)
Author: Ankita Subhrasmita Gadtya and Srikanta Moharana*
DOI: 10.2174/9789815049077122010011
PDF Price: $15
Abstract
In the first two decades of the 21st century, the problem of waste disposal has
surfaced with much severity due to the ever-increasing population, rapid urbanization,
continuing industrialization, and change in lifestyle, and also to some extent through
universal digitalization. These factors have collectively amounted to the generation of
enormous volumes of toxic/non-toxic wastes, domestic, agricultural, medical,
commercial, industrial, mining, electronic, radioactive, etc. Waste management
specifies the sum total of activities and actions essential to handle waste from its origin
to its ultimate clearance. In a broader approach, it targets the collection, transportation
and disposal of garbage, sewage, and other waste products, simultaneously taking care
of its generation, characterization, and minimization too. Though source reduction and
reuse, animal feeding, recycling, composting, fermentation, landfills, incineration, and
land application are the eight key groups of traditional waste management practices, the
modern approach can encompass other aspects like waste management policies with
the legal and regulatory framework. Moreover, in recent years, many sophisticated
methods are employed to successfully manage these wastes, including biological
reprocessing, recovery and recycling, dumping in a sanitary landfill, waste to energy,
bioremediation, plasma gasification, and disposal in ocean or sea etc. The advancement
that is being made in waste disposal methods is still not adequate. Both developing as
well as the least developed countries still have many important issues that need to be
resolved related to waste disposal wherein some of the most critical ones include lack
of political will to tackle the problem, absence of a planned national policy related to
solid waste management, feeble implementation of rules and regulations, paucity of
funds dedicated to mitigating the problem, lack of mass awareness and or educational
programmes at all levels, and ignorance about a ‘circular economy. Needless to say,
even the developed countries continue to grapple with the problem of a speedy and
secure mode of waste management. As the waste load increases incessantly, it becomes
more and more challenging for humans to find a wholesome method of waste disposal
that can help maintain a cleaner environment and support sustainable development.
Therefore, the need of the hour is an integrated waste management approach with ‘All
for Environment’ attitude.
Short-Term Solar Power Forecasting For Smart Grid Management
Page: 138-158 (21)
Author: Marius Paulescu* and Eugenia Paulescu
DOI: 10.2174/9789815049077122010012
PDF Price: $15
Abstract
Building a smart power grid is essential to supporting advanced city
infrastructure. A smart grid can be defined as a computer-driven power grid that
integrates efficiently and safely the actions of all connected entities: power plants and
consumers. The modern concept of smart grid management targets a real-time balance
of the inherent variability in the power production from renewable sources.
Consequently, short-term forecasting of power production became a key task in
providing smartness to the grid. Accurate forecasts allow computers to take control
actions to balance the grid. In this context, this chapter focuses on intra-hour
forecasting of photovoltaic (PV) power. A brief introduction to solar irradiance
variability is presented firstly. Then, a survey on the performance of solar irradiance
forecasting models is conducted. It is motivated by the commonsense observation that
the accuracy of forecasting the output power of a PV plant is highly conditioned by the
accuracy of forecasting the solar resource. The second part of the chapter includes a
review of several models for short-term forecasting the output power of a PV plant. A
critical survey on the metrics used for measuring the accuracy of the forecast is
presented as well. The chapter ends with a case study on short-term forecasting of PV
power, namely on the specific climate of southeastern Pannonia Plain. The study is
conducted with high-quality data measured on the Solar Platform of the West
University of Timisoara, Romania.
Globalization of Sustainable Environment: A New Era
Page: 159-180 (22)
Author: Pala Gireesh Kumar and Y. Sahitya*
DOI: 10.2174/9789815049077122010013
PDF Price: $15
Abstract
Cities are powerful engines for globalization nourished by intensive social
skills and sky-high concentrations of expertise. Environmental sustainability is
discussed comparable to all parts of our lives – from making eco-homes and
ecologically cognizant networks to sourcing sustainable food, sustainable power, low
effect furniture, and apparel. This article presents a broad writing audit carried out and
provides a comprehensive run-through in the field of sustainable environment in the
matter of elementary foundations and inferences, importance and evolution, primary
factors, the impact of environmental change, scope, materialize factual and
technological runs also future arranging. The existing sustainable environment
prototypes and their approaches have been analyzed in various pieces of literature and
are also discussed and presented in this paper.This also aims to investigate the extent to
which the concept of sustainability is linked to the preservation, reclamation, and
adaptation of historic structures in the United Kingdom, before presenting a list of 15
guiding principles culled from a variety of sources by the author and his understudies
and colleagues. They are sorted into five flawed but supportive categories. The study
found that the applied theoretical exploration into sustainable cities hereafter is
esteemed of high tolerance and significance. Adding to this, the suggested holistic
approach is credited to be the predominant of all times. Not only are these, the
sustainable activities that are visualized for better ecology are also given likely to
reduce the amplified human warmth stress. This can be nullified by increasing
vegetation mass in urban areas, which comes up with the Eva transpiration and shading
benefits. This research study also focuses on presenting the Sixth mass extinction,
issues, and its solutions operating in the various fields under the sun. The current study
concludes that “Diversity is the key”.
Introduction
A smart city uses technology to provide services and solve problems to improve urban policy efficiency, reduce waste, improve quality of life, and maximize social inclusion. By 2050, 66% of the world's population is expected to be urban, which is a key driver of a global trend toward the creation of smart cities. This trend creates many opportunities for urban planning committees to learn how to design, modernize, and operate smart cities intelligently and effectively. Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development is a collection of topics that are relevant to the design of a smart city. This book aims to complement technical journal articles that require advanced knowledge of the subject of smart cities and applications for readers. It aims to bridge knowledge gaps in sustainable urban design by providing background information via case studies to facilitate students, recent graduates and new practitioners in urban design and planning. Key Features: - This book features 9 chapters that cover 6 major domains, which include (i) information modelling, (ii) internet of things, (iii) intelligent transportation systems, (iv) water supply, (v) waste management and (vi) sustainable environment - Computational techniques are included in the book. These include artificial neural networks, stochastic models, particle swarm optimization, machine learning, and adaptive neuro-fuzzy Inference systems. - Goals of case studies presented in this book use computational techniques to offer readers examples of supervised, unsupervised and reinforcement learning strategies in the context of smart city applications - References are provided for further reading