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1 |
Managing expert knowledge in water network expansion project implementation
مدیریت دانش تخصصی در اجرای پروژه توسعه شبکه آب-2021 The implementation of expansion projects of water networks supplying growing cities
is deemed to be a complex decision-making problem involving both technical aspects and expert
knowledge. Management and control processes must rely on experts in the field whose knowhow must be coupled with techniques able to deal with the natural subjectivity that affects
input evaluations. Given the presence of many decision-making elements, the choice of proper
hydraulic technical parameters may be linked to the main aspects of analysis requiring formal
expert evaluation. In this contribution, the simulation of hydraulic indicators is integrated with
a multi-criteria approach able to eventually determine those areas of a water network through
which organising the expansion may be more beneficial. The software EPAnet 2.0 is first used
for hydraulic simulations, whereas the Technique for Order of Preference by Similarity to Ideal
Solution (TOPSIS) will eventually rank network’s nodes. A case study is solved to demonstrate
the applicability and effectiveness of the proposed approach.
keywords: Complex Systems | Management and Control | Water Distribution Networks | Expansion Project | EPAne | software 2.0 | TOPSIS. |
مقاله انگلیسی |
2 |
Zero-net energy management for the monitoring and control of dynamically-partitioned smart water systems
مدیریت انرژی صفر خالص برای نظارت و کنترل سیستم های اب هوشمند تقسیم شده -2020 The optimal and sustainable management of water distribution systems still represent an arduous task.
In many instances, especially in aging water net-works, pressure management is imperative for reducing
breakages and leakages. Therefore, optimal District Metered Areas represent an effective solution to
decreasing the overall energy input without performance compromise. Within this context, this paper
proposes a novel adaptive management framework for water distribution systems by reconfiguring the
original network layout into (dynamic) district metered areas. It utilises a multiscale clustering algorithm
to schedule district aggregation/desegregation, whilst delivering energy and supply management goals.
The resulting framework was tested in a water utility network for the simultaneously production of
energy during the day (by means of the installation of micro-hydropower systems) and for the reduction
of water leakage during the night. From computational viewpoint, this was found to significantly reduce
the time and complexity during the clustering and the dividing phase. In addition, in this case, a
recovered energy potential of 19 MWh per year and leakage reduction of up to 16% was found. The
addition of pump-as-turbines was also found to reduce investment and maintenance costs, giving
improved reliability to the monitoring stations. The financial analyses to define the optimal period in
which to invest also showed the economic feasibility of the proposed solution, which assures, in the
analysed case study, a positive annual net income in just five years. This study demonstrates that the
combined optimisation, energy recovery and creation of optimized multiple-task district stations lead to
an efficient, resilient, sustainable, and low-cost management strategy for water distribution networks. Keywords: Water distribution systems | Micro-hydropower systems | Sustainable and smart cities | Water-energy nexus | Water leakage reduction | Financial return-on-investment |
مقاله انگلیسی |
3 |
An efficient interactive framework for improving resilience of power-water distribution systems with multiple privately-owned microgrids
یک چارچوب تعاملی کارآمد برای بهبود مقاومت در برابر سیستم های توزیع آب و انرژی با چندین میکروگرید متعلق به بخش خصوصی-2020 Resilience improvement of power distribution networks against natural disasters is an important problem. Water
network similar to other important infrastructures depends on power networks. In this paper, resilience improvement
is defined as increasing the users’ accessibility to water and power after natural disasters. Microgrids
with appropriate operation can provide energy to restore disconnected loads in distribution networks. In the
proposed interactive framework, a stochastic energy management program for microgrids is designed that not
only determines the amount of energy can be delivered to distribution systems, but also considers the reliability
of local loads during emergency conditions. Each microgrid provides a list of bid-quantity energy blocks to the
distribution system operator (DSO) during the emergency period. Then, the DSO chooses the best plan to restore
disconnected loads considering inaccessibility values to power and water and also the damage of power and
water distribution networks. Demand response actions in microgrids are also considered as effective tools for the
energy management program, and their impact on the distribution system resilience is investigated. The proposed
model is tested on the modified IEEE 33-bus distribution system with multiple microgrids, and the effectiveness
of the proposed method is validated accordingly. Keywords: Microgrids | Natural disasters | Resilience | Stochastic linear programming | Water network |
مقاله انگلیسی |
4 |
Deep learning identifies accurate burst locations in water distribution networks
دقت شناسایی یادگیری عمیق مکان های انفجاری در شبکه های توزیع آب-2019 Pipe bursts in water distribution networks lead to considerable water loss and pose risks of bacteria and
pollutant contamination. Pipe burst localisation methods help water service providers repair the burst
pipes and restore water supply timely and efficiently. Although methods have been reported on burst
detection and localisation, there is a lack of studies on accurate localisation of a burst within a potential
district by accessible meters. To address this, a novel Burst Location Identification Framework by Fullylinear
DenseNet (BLIFF) is proposed. In this framework, additional pressure meters are placed at limited,
optimised places for a short period (minutes to hours) to monitor system behaviour after the burst. The
fully-linear DenseNet (FL-DenseNet) newly developed in this study modifies the state-of-the-art deep
learning algorithm to effectively extract features in the limited pressure signals for accurate burst
localisation. BLIFF was tested on a benchmark network with different parameter settings, which showed
that accurate burst localisation results can be achieved even with high model uncertainties. The
framework was also applied to a real-life network, in which 57 of the total 58 synthetic bursts in the
potential burst district were correctly located when the top five most possible pipes are considered and
among them, 37 were successfully located when considering only the top one. Only one failed because of
the very small pipe diameter and remote location. Comparisons with DenseNet and the traditional fully
linear neural network demonstrate that the framework can effectively narrow the potential burst district
to one or several pipes with good robustness and applicability. Codes are available at https://github.com/
wizard1203/waternn. Keywords: Burst localisation | Deep learning | DenseNet | Pipe burst | Water distribution network |
مقاله انگلیسی |
5 |
داده های مربوط به غلظت فلوراید و ارزیابی ریسک بهداشت آب آشامیدنی استان خراسان رضوی
سال انتشار: 2018 - تعداد صفحات فایل pdf انگلیسی: 6 - تعداد صفحات فایل doc فارسی: 8 در حالی که فلوراید (F) آنیون ضروری برای حفظ سلامت بدن انسان است، مصرف زیاد فلوراید می تواند منجر به مشکلات جدی سلامتی شود. نظارت بر میزان فلوراید آب آشامیدنی در مسیر اصلی مصرف فلوراید ، یک عامل کلیدی در پیشگیری از پیامدهای منفی بهداشتی آن است. در این مقاله به سطوح فلوراید در شبکه های توزیع آب آشامیدنی استان خراسان رضوی دسترسی داریم که طی 2016 تا 2017 جمع آوری شده است. محاسبه خطر ابتلا به سرطان ناشی از فلوراید در مناطق شهری و روستایی نیز با محاسبه¬ی مصرف روزانه مزمن (CDI) و فاکتور خطر (HQ) برای بزرگسالان و کودکان انجام شد. نمونه برداری از شبکه توزیع آب آشامیدنی در 112 منطقه مختلف خراسان رضوی صورت گرفت و غلظت فسفر ، با روش استاندارد SPADNS تعیین شد. حداقل سطح فلوراید در نمونه های شهرداری و روستایی به ترتیب 0.09 و 0.16 میلی گرم در لیتر، حداکثر آن نیز به ترتیب 1.7 و 1.1 و میانگین آن به ترتیب 0.74 و 0.59 میلی گرم در لیتر است. میانگین مقادیر میانگین CDI فلوراید در نمونه های شهری برای مردان، زنان و کودکان به ترتیب 2-10 × 1.3، 4-10 × 3.34 و 6-10 × 6.56 میلی گرم/کیلوگرم/ روز بدست امد. CDIبرای نمونه های روستایی به ترتیب برای مردان، زنان و کودکان به ترتیب2-10 × 1.51، 4-10 × 3.34 و 6-10 × 8.56 میلی گرم/کیلوگرم/ روز بدست آمد. میانگین HQ فلوراید برای مردان، زنان و کودکان در نمونه های شهری و روستایی به ترتیب 1-10 × 2.17، 3-10 × 5.56 ، 4-10 × 1.43 و 1-10 × 2.44، 3-10 × 6.26 ، 4-10 × 1.61 است. به منظور جلوگیری از خطرات بالقوه سلامتی در مناطق دارای HQ>1 به استراتژی مناسب برای کاهش سطح فلوراید آب آشامیدنی نیاز است.
کليدواژه: فلورايد | ارزيابي ريسك سلامتی | آب آشاميدني | خراسان رضوي |
مقاله ترجمه شده |
6 |
STPA-SafeSec: Safety and security analysis for cyber-physical systems
STPA-SafeSec: تجزیه و تحلیل ایمنی و امنیت سیستم های فیزیکی سایبری-2017 Article history:Available online 30 June 2016Keywords:Smart gridSynchronous islanded generation STPACPSSafetyCyber securityCyber-physical systems tightly integrate physical processes and information and communication technolo- gies. As today’s critical infrastructures, e.g., the power grid or water distribution networks, are complex cyber-physical systems, ensuring their safety and security becomes of paramount importance. Traditional safety analysis methods, such as HAZOP, are ill-suited to assess these systems. Furthermore, cybersecu- rity vulnerabilities are often not considered critical, because their effects on the physical processes are not fully understood. In this work, we present STPA-SafeSec, a novel analysis methodology for both safety and security. Its results show the dependencies between cybersecurity vulnerabilities and system safety. Us- ing this information, the most effective mitigation strategies to ensure safety and security of the system can be readily identified. We apply STPA-SafeSec to a use case in the power grid domain, and highlight its benefits.© 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/) Keywords: Smart grid | Synchronous islanded generation | STPA | CPS | Safety | Cyber security |
مقاله انگلیسی |