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Title : Exploring A Sea Of Sustainability Choices: The Nexus Of Blue Economy, Green Economy And Energy In ASEAN
Name : Ayesha Afzal
University : Innovation and Technology Centre, Lahore School of Economics
Country : pakistan
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Reduction of carbon intensity has gained significant importance due to the environmental damage caused by carbon emissions. The blue economic model is being highlighted for addressing this global challenge and reaching a win-win situation of economic growth with environmental sustainability. This research incorporates carbon intensity, blue economic indicators (marine trade, aquatic production and marine tourism), green economic variables (R&D, patents and technology) and energy factors.
The sample includes the 10 countries of Association of SouthEast Asian Nations (ASEAN). According to UN, over 80% of global trade is conducted through the seas. This shows importance of marine resources in the global economy as well as the SouthEast Asia region. Southeast Asia has a coastline of 173 000 km bordering some of the most economically and ecologically rich ocean areas of the world. Since blue economic resources have an important role in this region, governments have recognised the importance of their sustainable utilisation. Against this backdrop of economic opportunities and sustainability concerns, the blue economy concept has been promoted. Therefore, SouthEast Asia is a highly relevant sample for this research.
Data for the 2010-2022 period has been analysed using the autoregressive distributed lag (ARDL) model. Results show that blue economic indicators and green economic variables help to lower carbon intensity. Energy intensity contributes to carbon emissions. Renewable energy sources decrease carbon intensity while non-renewable sources have the opposite impact. These findings have implications for economic and public policy makers.
Blue economic sectors should utilise modern mechanisms of sustainable economic growth. First, every business in the ASEAN region should plan its resource usage carefully. This will help to control energy intensity and non-renewable energy usage. Second, enterprises should aim at innovation in terms of market offerings that have low energy intensity or are based on renewable energy. In this area, R&D efforts can be highly useful. Third, businesses need to adopt cleaner technologies for more sustainable economic development. More specifically, technologies such as carbon capture and storage should be utilised. Fourth, the blue economic sectors can introduce modern mechanisms such as solar power boating. Fifth, organisations need to be proactive in this context. More specifically, actions are needed to limit environmental damage. For example, they should ensure that there is proper treatment of carbon emissions they are producing.
Government authorities need to support these sectors. Efforts should be made to garner stakeholder support for sustainable economic growth.
Keywords: Carbon intensity, Blue economy, Green economy, Renewable energy, Sustainable development
Biography
Dr. Afzal is a Professor and member of permanent faculty at Lahore School of Economics. She has been a fellow at the University of Oxford where she has worked on issues in growth and social policy under modern financial paradigm in comparative studies of South Asian economies. Dr. Afzal’s research interests include various aspects of development with special focus on sustainable development, financial system, and risk management. She is currently conducting collaborative research with renowned international researchers on Blue Economy, Sustainable development and Green finance. Along with academic research, Dr Afzal is also consulting with various organizations for projects on sustainable development and finance. Currently, she is working as “Project Coordinator” with World Bank Project on Building Energy Efficiency Opportunities Study and as a “Project Economist” with SAMAˆVerte on a Pilio carbon Insetting project
Title : The optimum of heat recovery in non-residential buildings
Name : Christoph Kaup
University : Department of environmental planning / environmental technology
Country : denmark
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This presentation is intended to answer the question of whether there can be a clear optimum according thermal efficiency and the corresponding electric effort when using heat recovery systems (HRS) under specific framework conditions. Since the benefits and the associated effort can vary widely in individual cases due to the different framework conditions, the question arises whether it is sensible to define the HRS requirements based on individual criteria, rather than blanket, rigid statutory requirements as is done with EU Regulation 1253/2014. In order to be able to find a respective economic optimum of the heat recovery in individual cases on the basis of various framework conditions without an individual optimization, a polynomial equation based on the nonlinear multiple-regression analysis has to be developed to predict the relevant optimum easily and quickly on the base of multidimensional optimizations. Thus, the determination of an optimal heat recovery in any case can prevent that with a too small or too large heat recovery an economic potential is given away. This makes sense from a business as well as from a macroeconomic point of view, since the sum of the business (microeconomic) optima must lead to a macro¬economic optimum. The influence on the heat recovery is shown on the basis of the parameters outdoor air temperature, extract air temperature and operating time. As a result, both the optimal temperature efficiency of the heat recovery, and the therefore required optimal air velocity, as well as the corresponding optimal pressure drop or the represented SFP-value de¬pending on the general framework conditions are highlighted on the basis of two load cases and two balance limits.
The Impact of CO2-Emission reduction can be implemented in the model by using a CO2-price to evaluate the CO2-influence.
The optimization calculations were carried out with constant energy prices. In a combined factorial regression, based on simple non-linear regressions on the various influencing factors, the energy prices are also used as variables to determine the optimum.
Title : Integration of Renewable Based Distributed Generation in Distribution networks Considering the Uncertainty
Name : Ashraf Ramadan Ragab
University : Aswan university
Country : Egypt
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Renewable energy resources (RER) are widely embedded in grids. where RERs are considered the key technologies for grid applications and provides a promising future for power generation in electric networks.
Many benefits can be captured by RER integration in terms of the power quality and economic consideration such as energy loss minimization, voltage profile improvement, stability enhancement and cost minimization of energy production.
Nevertheless, RER including photovoltaic power generation and wind power generation are considered the major uncertainty sources in grid due to the continues variations of irradiance and wind speed as well as the uncertainties of load demand, electricity price, plug-in electric vehicle (PEV) and future uncertain load growth.
Nowadays, the uncertainty handling in grids became one of the main concerns of the decision makers (including governors, engineers, managers, and scientists), for efficient planning and operation of grid and to diminish the risk of assigning the optimal siting and sizing of RER.
Many methods are used to handle the uncertainty in grid including Probabilistic method, Possibilistic method and hybrid possibilistic–probabilistic methods.
A Comprehensive survey is presented to depict the advantages and shortages of the uncertainty handling methods as well as the most recent techniques for handling uncertainty in grid.
Biography
Dr. Ashraf Ramadan is Renewable Energy consultant at Business Vision for renewable energy company & Instructor of Electrical Engineering. He totals 19 years in designing and supervision in electrical and Electronics work expert in Renewable Energy Uncertainty, teaching both courses and labs (Lab setup and development). He holds a PhD in Electrical Engineering and Renewable Energy with the title “Optimal Allocation of Distributed Generation in Radial Distribution Networks Considering Renewable Energy Uncertainty” from Aswan university Aswan Egypt. He got his Master of Electricals and Electronics Engineering Faculty of Engineering Assiut University Assiut Egypt “Testing and Fault Diagnosis for Pipelined ADCs” on May 2018. He has working experience in the following fields PV System Design installation, Wind Energy Course Renewable Energy, Electrical testing laboratory, Electrical measurements and instrumentations.
Title : Rainfall-runoff modeling using HEC-HMS model for Meki river watershed, rift valley basin
Name : Jerjera Ulu Guduru
University : Haramaya University
Country : Ethiopia
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Detail understanding of rainfall-runoff processes is tremendously important for a watershed with variable streamflow generation. The streamflow of the Meki River fluctuates seasonally causing flooding on surrounding agricultural land. This study adopted Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) to model the streamflow and predict flood in the Meki watershed, Rift valley basin. The model was calibrated with observed streamflow data from (1987– 2004) whereas the consecutive year’s data (2005–2010) was used for model validation. The evaluation criteria namely: Nash Sutcliff Efficiency and coefficient of determination were preferred to evaluate the model performance. The finding relieved that, the model can perform very well (NSE = 0.83, R2 = 0.91) during Calibration, and (NSE = 0.804, R2 = 0.89) at validation period. Moreover, the predicted floods at 2, 10, 25, 50, and 100 years were 133.2, 178.1, 239.7, 313.2, and 346.19 m3 /s, respectively in the watershed. The novelty of this study lies in evaluating the model results using both statistical parameters (NSE and R2 ) and the Generalized Extreme
Value method). The finding of this study is vital to developing flood mapping and designing flood mitigation measures in the study area. Further, the developed models can be applied to other hydrology with similar hydrological conditions.
Biography:
Mr. Jerjera Ulu Guduru obtained his BSc (Water Resources and Environmental Engineering) from the University of Jimma institute of Technology, Jimma University and his M.SC. (Hydraulic Engineering) from the University of Jimma institute of Technology, Jimma university. He previously worked as a teaching, community engagement, and researcher at the Haramaya Institute of Technology, Haramaya University. His research focus area is groundwater exploration, watershed management, and hydrological modeling in the Ethiopian river basin. He currently lectures water resources and environmental engineering at the Haramaya Institute of Technology, Haramaya University. His area of interest is Hydrology, Numerical methods, and transforms. He has published three papers in peer-reviewed journals (Elsevier journal).
Title : Crustal rheological heterogeneities beneath the Harrat Lunnayir in SW Saudi Arabia - - Perspectives of the Afar Plume activity along the Red Sea margin
Name : Manoj Mukhopadhyay
University : University of Technology
Country : Papua New Guinea
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The crustal and sub-crustal rheological parameters are investigated down to a depth of
150 km for an area of 650 x 215 km2 of the Large Igneous Province of Arabia whose
spine is constituted by the Makkah-Madinah-Nafud (MMN) volcanic line. This is done with
an aim to gain an insight on the plume head as well as on the regional crustal
effects brought by the Afar Plume. The rheological parameters are: Vp, Vp/Vs, Density
(ρ), Acoustic Impedance, Lame’s First constant (λ), Shear modulus (μ), Poisson’s Ratio
(σ), Bulk modulus (K) and Young’s modulus (E). These are computed from the Receiver
Function Analysis results based on data from 24 seismic stations underlying the Harrat
Lunnayir, Northern Rahat and Khaybar (Figure 1). Actual calculations are done by the
following constitutive relations: (i) Vp (km/s) = 0.9409 + 2.0974Vs–0.8206 Vs2 +
0.2683Vs3 – 0.0251Vs4, where, VP = P-wave velocity, VS = Shear-wave velocity, (ii). ρ
= 1.6612Vp – 0.4721Vp2 +0.0671Vp3 – 0.0043Vp4 + 0.000106Vp5, (iii). λ = ρ (Vp 2 –
2VS 2), (iv). μ, K and E are calculated following equations [μ = Vs2 ρ; K = λ +2/3(μ); E
= μ (3λ+2μ)/(λ+ μ)], (v). σ = 0.8835–0.315Vp + 0.0491Vp2 – 0.0024Vp3 and (vi).
Acoustic Impedance (AI) = Vp*ρ. The parameters are analyzed by: (a) individual plots to
infer the variation of lithological composition and metamorphism at crustal depths, (b)
spatial mapping of the parameters to identify their 2D-variation. The former accounts for
the changes locally introduced underneath the harrats by magmatic intrusions. Mutual
correlations of computed rheological parameters for upper and lower crustal columns
underneath HL indicate linear relations in the upper crust but represented mostly as
linear pattern in the lower crust. These are inferred as changes in rock composition from
felsic to mafic, where the lower crust attains granulite facies of metamorphism. The
rheological parameters for HL, when compared to those for the host region, indicate
fundamental changes in crustal composition which were locally introduced in HL by the
mantle flow produced by Afar plume activity. The Vp/Vs values are higher in the lower
and upper crust below HL in comparison to the entire area. In the lower crust, Vp/Vs
attains an average value of 1.73 (with λ = μ) represent a change in crustal composition
from quartz-diorite to diorite. These results are best described by a pervasive and
interconnected ‘Zone of Anomalous Rheological Parameters’ (ZARP) in the upper and
lower crust. Their major features are: (i) a clear continuity between the upper and lower
crust, (ii) the surface gap between the harrats Rahat and Lunayyir is actually represented
by a ZARP high underneath, and (iii) the ZARP maps when correlated to detailed
structural maps provide an initial indication on the causal pathway of magmatic intrusion
at crustal depths connecting the harrats laterally. Next we look for their vertical
continuity by tracking the rheological parameters to lithospheric depths that unravels, for
the first time, two anomalous zones at respective depth intervals of 30-50 km (the
immediate sub-crust) as well as at greater lithospheric depths or still beyond (80-150
km). We speculate that the former acts as the zone of de-compressed crustal melting
linked to crustal thinning that possibly acts as the magma feeder zone for the harrats
represented by the MMN Line. By definition, this should thus represent the plume head.
The deeper zone at sub-lithospheric depth is likely to represent the more extensive and
persistent zone of horizontal mantle flow from the Afar region (Figure 2). Further studies
are warranted to substantiate these initial findings.
Biography:
Prof. Manoj Mukhopadhyay holds an M.Sc. (Applied Geophysics) (1971) degree from Indian School of Mines (ISM), Dhanbad and Ph.D. (Geophysics) (1976) from ISM & the National Geophysical Research Institute, Hyderabad, India. He worked as a faculty with the Department of Applied Geophysics at ISM from 1976 – 2006, when, he was elevated to the rank of Professor in 1989. He also held the Departmental Chair for seven years (1994-97 and 2004-06). His teaching areas cover: Gravity Exploration, Offshore Geophysics and Geodynamics. He conducted gravity mapping over extensive areas in central and eastern India. He set up the ISM Seismological Observatory Dhanbad in 1998. He was a Visiting Fellow of the Natural Sciences & Engineering Research Council, Govt. of Canada, working at the Earth Physics Branch, Ottawa (formerly; the Dominion Observatory) (1978-80), and a Visiting Fellow of the Royal Norwegian Council of Scientific & Industrial Research, Oslo, working at the Norwegian Institute of Technology, Trondheim (1991-93). He was a Visiting Professor at the University of Kuwait (2006-08), and subsequently, a Professor of Geophysics, Department of Geology & Geophysics, King Saud University, Riyadh, Saudi Arabia (2008-15). Since 2017, he is with the Department of Applied Physics, University of Technology, Lae, Papua New Guinea. His research publications are indexed in: (i) Canadian Geophysical Atlas (1987) published by the Geological Survey of Canada, Ottawa, (ii) Bouguer Gravity Anomaly Map of Bangladesh (1990) published by the United States Geological Survey, Denver, (iii) Seismotectoinc Atlas of India & its Environs (2000) published by the Geological Survey of India, Kolkata, & (iv) World Stress Map, Helmholtz Centre Potsdam – GFZ. His Research Gate ‘Research Interest Score’ (Aug. 2022): 1070 (67 publications), and h-index (Elsevier Science alert): 24.
Title : Identification and Assessment of Sustainability Performance Indicators for Construction Projects
Name : Sareh Rajabi
University : University of Sharjah
Country : UAE
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Improving the sustainability performance of construction projects is essential to the sustainability of regions, nations, and the world as a whole. Sustainability key performance indicators (KPIs) can play an essential role in advancing the practice of sustainable construction. Despite the numerous studies on sustainability indicators, there is still a gap in identifying applicable sustainability KPIs that can be used during the execution phase of construction projects for contractors. This research aims to identify and assess KPIs for monitoring and evaluating the sustainability performance of construction projects during the execution phase. Twenty-two sustainability indicators were identified and shortlisted based on a comprehensive review of related literature. The indicators were grouped into two groups environmental and socio-economic. A survey was then designed and sent to construction professionals in the United Arab Emirates (UAE). Thirty-one respondents evaluated the importance of indicators using pair-wise comparison using the Analytic Hierarchy Process (AHP). The results highlighted that the use of renewable energy indicator was ranked as the most important with a global weight of 0.164 (environmental group). In contrast, the construction site safety indicator was the most important, with a global weight of 0.093 (socio-economic group). This research is important as it fills the identified research gap. Additionally, this study benefits contractors in identifying the most appropriate sustainability indicators for their construction projects to assess sustainability performance during the construction phase.
Biography
Sareh Rajabi was born on 1986, in Tehran, Iran. She was educated in a private school, The International School of Zakkieh, and was granted her high school diploma in June 2004 with honors. She then joined the American University of Sharjah and from which she graduated with a Bachelor of Science in Civil Engineering in June 2009.
Upon graduation, Ms. Sareh worked as a planning engineer in a multinational contracting organization, Al Rajhi Construction Company (ARC). She was responsible for successfully completing many critical tasks in high-profile infrastructure projects undertaken in the UAE. She held the position of Sr. Planning Engineer at the end of her career with ARC.
In 2010, She began a master’s program in Engineering Systems Management at the American University of Sharjah and graduated in May 2012.
In 2015, She joined DX Contracting LLC, another contracting organization in UAE, holding the position of Project Control Manager. She has professional experience in project control in initiating, planning, executing, controlling, and closing large and complex projects.
In 2018, She began a PhD program in Engineering Systems Management at the American University of Sharjah and graduated in May 2022.
Title : Optimal Solar and wind energy cable pooling mix for enhancing grid transport capacity
Name : Sander Mertens
University : Hague University of Technology
Country : Netherlands
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The electrical transport capacity of the grid depends on the load and capacity factor of the cables of the grid. The optimum load of the cables has a capacity factor of 100% at rated power of the cable. Yet, the capacity factor of the electricity production of renewable energy sources: solar and wind power, is much smaller, approximately 10% to 50%. As a consequence, solar and wind power provide inefficient cable usage.
Solar and wind farms are mostly found at remote locations with little demand in the surrounding areas so that transport capacity of solar and wind power is a standard requirement. What means do we have to improve the transport capacity for solar and wind power?
What
The electrical transport capacity of solar and wind power is studied with a dynamic simulation of solar and wind power, based on hourly weather data from the Dutch meteorological office KNMI.
How
Various mixes of solar and wind power, with different load factors above rated power of a cable, provided insight in increasing cable transport capacity and optimal mix of solar and wind power to provide that increased transport capacity. Solar and wind power are modelled with basic physics that handle the meteorological input of solar irradiation and wind speed. The physics of the models of the mix are analysed to interpret and understand the results of the dynamic simulation on the transport capacity.
Result
The dynamic simulation provided insight in the optimal mix of solar-, wind power and cable loads, with the smallest curtailment losses of excessive power (i.e. above rated cable power).
It is shown that large cable loads of up to 1,8 times the rated cable capacity have only small curtailment losses of a few percent.
The results of this study allow us to optimally use our electrical infrastructure. This is important to achieve low transport costs, but this is even more important for the Dutch situation where the energy transition results in a vanishing grid capacity for solar and wind parks
Additionally to findings in literature of the optimal baseload mix of solar and wind power, in order to arrive at the lowest seasonal storage capacity, the study reveals a different optimum mix of solar and wind power, to achieve maximum transport capacities at the smallest curtailment losses.
Title : Clean nuclear energy to help meeting global decarbonization goals.
Name : Raul B. Rebak
University : General Electric Research in Schenectady
Country : USA
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During the recent pandemic, the world has grown more sensitized and concerned about climate change as expressed by the outcomes of the recent COP26 and COP27 conferences in 2021 and 2022, respectively. The mission of the many participant nations was to reduce their dependence on fossil fuels in the generation of electricity, or to embrace a decarbonization process. That is, most nations are committed to rely more and more on clean energy sources such as solar, wind, hydroelectric, geothermic and, of course, nuclear. At this moment the USA still has the world largest fleet of light water reactors (92) which currently produce approximately 50% of the clean electricity consumed in the country. Recent legislation in the USA has provided funds to the private sector to prevent the premature shutdown of operating commercial nuclear power plants. The goal of the US Department of Energy is not only to keep existing nuclear plants operating but also to build new capacity through advanced reactors including micro reactors, small modular reactors, and larger scale Gen III and Gen IV reactors. It is argued that the commercialization of accident tolerant fuels (ATF) in the next quinquennium may contribute to the life extension of current light water reactors.
Biography
Raul is a corrosion research scientist at General Electric Research in Schenectady, New York since 2007. Previously he was the lead for materials corrosion testing in the Yucca Mountain Project at the University of California Lawrence Livermore National Laboratory. Raul has more than 30 years’ experience in environmental degradation processes of materials in many fields including nuclear power, oil & gas, energy storage, healthcare, transportation, and aerospace. Raul is a Fellow of both NACE International and ASM International.
Title : Automated System for defect discrimination and grading in citrus fruits
Name : Harvinder Singh
University : Torrens University Australia
Country : Australia
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The citrus industry is Australia’s largest fresh fruit exporting industry by volume, with major export
markets in Asian countries and the United States. However, the export of fresh produce (particularly fruit) is
limited by quarantine restrictions in several countries. One of the major causes of these restrictions includes
postharvest decay and defects. These post-harvest losses can reach 30% of the total production in developed
and 50% in less developed countries. National breakdown of on-farm losses for citrus is between 20-30%
that equals 30-35,000 tones in Australia.
We propose a novel, safe and low-cost citrus defect discrimination and grading mobile application based
on computer vision and image analysis technique to sort healthy from defective and also, predict the early
disease infestation that may result in reducing the application of commonly used synthetic fungicides (hence
reduced MRLs) during post-harvest management. Deep neural networks (DNN) was employed to extract
desired features with an appropriate set of filters applied on the given set of images. The system was able to
automatically categorize and then sort the given various samples in respective classes in real-time citrus
post-harvesting procedures. It is efficient, cost-effective, accurate and non-destructive, furthermore, it will
improve inspection time and quality sorting guarantee in citrus production and supply chain management.
Besides this the solution will allow farmers to reduce waste and achieve a sustainable and efficient grading
process, providing real-time information which accurately identifies fruit diseases and imperfections that
would also improve the efficiency of supply chain by 30-35%.
Biography:
Professor Harvinder Singh has been an academic for nearly two decades with strong teaching and research
expertise in applied informatics, traditional and molecular plant breeding approaches for the improvement
and management of cereal crops, and medicinal plants. He has IPs for novel inventions in agriculture and has
published over 50 research articles in peer reviewed journals, books and conference proceedings. He has also
presented his research at national and international conferences.