Books on the topic 'Water distribution system design optimization'

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1

Boiler plant and distribution system optimization manual. 2nd ed. Lilburn, GA: Fairmont Press, 1998.

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2

Boiler plant and distribution system optimization manual. Lilburn, GA: The Fairmont Press, Inc., 2014.

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3

Boiler plant and distribution system optimization manual. Lilburn, GA: Fairmont Press, 1991.

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4

1960-, Wang Hong, ed. Stochastic distribution control system design: A convex optimization approach. London: Springer, 2010.

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5

AWWA Seminar on Network Analysis: Treated Water System Planning, Design, and Operation (1989 Dallas, Tex.). Proceedings: AWWA Seminar on Network Analysis, Treated Water System Planning, Design, and Operation, Distribution System Symposium, Dallas, Texas, September 10, 1989. Denver, CO: American Water Works Association, 1990.

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Soong, Kim Che, Melikov Agassi, and SpringerLink (Online service), eds. Performance Analysis and Optimization of Multi-Traffic on Communication Networks. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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7

ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai Shi: Shanghai da xue chu ban she, 2010.

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8

AWWA and Partnership for Safe Water. Self-Assessment for Distribution System Optimization. American Water Works Association, 2018.

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9

(Contributor), Melinda Friedman, George Kimeyer (Contributor), Gregory Pierson (Contributor), Steve Harrison (Contributor), Kathy Martel (Contributor), Anne Sandvig (Contributor), and Amie Hanson (Contributor), eds. Development of Distribution System Water Quality Optimization Plans. American Water Works Association, 2005.

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10

W, Chesnutt Thomas, Los Angeles (Calif.). Dept. of Water and Power., and AWWA Research Foundation, eds. Spatial demand allocation for distribution system design. Denver, CO: AWWA Research Foundation, 2003.

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11

Wang, Hong, and Lei Guo. Stochastic Distribution Control System Design: A Convex Optimization Approach. Springer, 2010.

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12

Wang, Hong, and Lei Guo. Stochastic Distribution Control System Design: A Convex Optimization Approach. Springer, 2012.

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13

Deb, Arun K. Decision Support System for Distribution System Piping Renewal. Amer Water Works Assn, 2002.

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14

Jenkins, Thomas E. Aeration Control System Design: A Practical Guide to Energy and Process Optimization. Wiley & Sons, Incorporated, John, 2013.

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Jenkins, Thomas E. Aeration Control System Design: A Practical Guide to Energy and Process Optimization. Wiley & Sons, Incorporated, John, 2013.

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16

E, Jenkins Thomas. Aeration Control System Design: A Practical Guide to Energy and Process Optimization. Wiley & Sons, Limited, John, 2013.

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17

E, Jenkins Thomas. Aeration Control System Design: A Practical Guide to Energy and Process Optimization. Wiley & Sons, Incorporated, John, 2013.

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18

E, Jenkins Thomas. Aeration Control System Design: A Practical Guide to Energy and Process Optimization. Wiley & Sons, Incorporated, John, 2013.

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19

Ilescu, Doinita Cristina. A review of system constrants for the design and operation of water distribution systems. 2006, 2006.

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20

Castillo, Enrique del. Process Optimization. Springer, 2008.

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21

Proceedings: AWWA Seminar on Network Analysis, Treated Water System Planning, Design, and Operation, Distribution System Symposium, Dallas, Texas, September 10, 1989 (AWWA seminar proceedings). American Water Works Association, 1990.

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22

Castillo, Enrique del. Process Optimization: A Statistical Approach. Springer London, Limited, 2007.

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23

Process Optimization: A Statistical Approach (International Series in Operations Research & Management Science). Springer, 2007.

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24

Ponomarenko, Leonid, Che Soong Kim, and Agassi Melikov. Performance Analysis and Optimization of Multi-Traffic on Communication Networks. Springer, 2014.

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Performance Models And Risk Management In Communications Systems. Springer, 2010.

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26

Salinas-Rodríguez, Sergio G., Juan Arévalo, Juan Manuel Ortiz, Eduard Borràs-Camps, Victor Monsalvo-Garcia, Maria D. Kennedy, and Abraham Esteve-Núñez, eds. Microbial Desalination Cells for Low Energy Drinking Water. IWA Publishing, 2021. http://dx.doi.org/10.2166/9781789062120.

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The world's largest demonstrator of a revolutionary energy system in desalination for drinking water production is in operation. MIDES uses Microbial Desalination Cells (MDC) in a pre-treatment step for reverse osmosis (RO), for simultaneous saline stream desalination and wastewater treatment. MDCs are based on bio-electro-chemical technology, in which biological wastewater treatment can be coupled to the desalination of a saline stream using ion exchange membranes without external energy input. MDCs simultaneously treat wastewater and perform desalination using the energy contained in the wastewater. In fact, an MDC can produce around 1.8 kWh of bioelectricity from the energy contained in 1 m3 of wastewater. Compared to traditional RO, more than 3 kWh/m3 of electrical energy is saved. With this novel technology, two low-quality water streams (saline stream, wastewater) are transformed into two high-quality streams (desalinated water, treated wastewater) suitable for further uses. An exhaustive scaling-up process was carried out in which all MIDES partners worked together on nanostructured electrodes, antifouling membranes, electrochemical reactor design and optimization, life cycle assessment, microbial electrochemistry and physiology expertise, and process engineering and control. The roadmap of the lab-MDC upscaling goes through the assembly of a pre-pilot MDC, towards the development of the demonstrator of the MDC technology (patented). Nominal desalination rate between 4-11 Lm-2h-1 is reached with a current efficiency of 40 %. After the scalability success, two MDC pilot plants were designed and constructed consisting of one stack of 15 MDC pilot units with a 0.4 m2 electrode area per unit. This book presents the information generated throughout the EU funded MIDES project and includes the latest developments related to desalination of sea water and brackish water by applying microbial desalination cells. ISBN: 9781789062113 (Paperback) ISBN: 9781789062120 (eBook)
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27

Zydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.

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The aim of the paper was to determine the influence of root systems of chosen tree species found in the Polish Flysch Carpathians on the increase of soil shear strength (root cohesion) in terms of slope stability. The paper's goal was achieved through comprehensive tests on root systems of eight relatively common in the Polish Flysch Carpathians tree species. The tests that were carried out included field work, laboratory work and analytical calculations. As part of the field work, the root area ratio (A IA) of the roots was determined using the method of profiling the walls of the trench at a distance of about 1.0 m from the tree trunk. The width of the. trenches was about 1.0 m, and their depth depended on the ground conditions and ranged from 0.6 to 1.0 m below the ground level. After preparing the walls of the trench, the profile was divided into vertical layers with a height of 0.1 m, within which root diameters were measured. Roots with diameters from 1 to 10 mm were taken into consideration in root area ratio calculations in accordance with the generally accepted methodology for this type of tests. These measurements were made in Biegnik (silver fir), Ropica Polska (silver birch, black locust) and Szymbark (silver birch, European beech, European hornbeam, silver fir, sycamore maple, Scots pine, European spruce) located near Gorlice (The Low Beskids) in areas with unplanned forest management. In case of each tested tree species the samples of roots were taken, transported to the laboratory and then saturated with water for at least one day. Before testing the samples were obtained from the water and stretched in a. tensile testing machine in order to determine their tensile strength and flexibility. In general, over 2200 root samples were tested. The results of tests on root area ratio of root systems and their tensile strength were used to determine the value of increase in shear strength of the soils, called root cohesion. To this purpose a classic Wu-Waldron calculation model was used as well as two types of bundle models, the so called static model (Fiber Bundle Model — FIRM, FBM2, FBM3) and the deformation model (Root Bundle Model— RBM1, RBM2, mRBM1) that differ in terms of the assumptions concerning the way the tensile force is distributed to the roots as well as the range of parameters taken into account during calculations. The stability analysis of 8 landslides in forest areas of Cicikowicleie and Wignickie Foothills was a form of verification of relevance of the obtained calculation results. The results of tests on root area ratio in the profile showed that, as expected, the number of roots in the soil profile and their ApIA values are very variable. It was shown that the values of the root area ratio of the tested tree species with a diameter 1-10 ram are a maximum of 0.8% close to the surface of the ground and they decrease along with the depth reaching the values at least one order of magnitude lower than close to the surface at the depth 0.5-1.0 m below the ground level. Average values of the root area ratio within the soil profile were from 0.05 to 0.13% adequately for Scots pine and European beech. The measured values of the root area ratio are relatively low in relation to the values of this parameter given in literature, which is probably connected with great cohesiveness of the soils and the fact that there were a lot of rock fragments in the soil, where the tests were carried out. Calculation results of the Gale-Grigal function indicate that a distribution of roots in the soil profile is similar for the tested species, apart from the silver fir from Bie§nik and European hornbeam. Considering the number of roots, their distribution in the soil profile and the root area ratio it appears that — considering slope stability — the root systems of European beech and black locust are the most optimal, which coincides with tests results given in literature. The results of tensile strength tests showed that the roots of the tested tree species have different tensile strength. The roots of European beech and European hornbeam had high tensile strength, whereas the roots of conifers and silver birch in deciduous trees — low. The analysis of test results also showed that the roots of the studied tree species are characterized by high variability of mechanical properties. The values Of shear strength increase are mainly related to the number and size (diameter) of the roots in the soil profile as well as their tensile strength and pullout resistance, although they can also result from the used calculation method (calculation model). The tests showed that the distribution of roots in the soil and their tensile strength are characterized by large variability, which allows the conclusion that using typical geotechnical calculations, which take into consideration the role of root systems is exposed to a high risk of overestimating their influence on the soil reinforcement. hence, while determining or assuming the increase in shear strength of soil reinforced with roots (root cohesion) for design calculations, a conservative (careful) approach that includes the most unfavourable values of this parameter should be used. Tests showed that the values of shear strength increase of the soil reinforced with roots calculated using Wu-Waldron model in extreme cases are three times higher than the values calculated using bundle models. In general, the most conservative calculation results of the shear strength increase were obtained using deformation bundle models: RBM2 (RBMw) or mRBM1. RBM2 model considers the variability of strength characteristics of soils described by Weibull survival function and in most cases gives the lowest values of the shear strength increase, which usually constitute 50% of the values of shear strength increase determined using classic Wu-Waldron model. Whereas the second model (mRBM1.) considers averaged values of roots strength parameters as well as the possibility that two main mechanism of destruction of a root bundle - rupture and pulling out - can occur at the same. time. The values of shear strength increase calculated using this model were the lowest in case of beech and hornbeam roots, which had high tensile strength. It indicates that in the surface part of the profile (down to 0.2 m below the ground level), primarily in case of deciduous trees, the main mechanism of failure of the root bundle will be pulling out. However, this model requires the knowledge of a much greater number of geometrical parameters of roots and geotechnical parameters of soil, and additionally it is very sensitive to input data. Therefore, it seems practical to use the RBM2 model to assess the influence of roots on the soil shear strength increase, and in order to obtain safe results of calculations in the surface part of the profile, the Weibull shape coefficient equal to 1.0 can be assumed. On the other hand, the Wu-Waldron model can be used for the initial assessment of the shear strength increase of soil reinforced with roots in the situation, where the deformation properties of the root system and its interaction with the soil are not considered, although the values of the shear strength increase calculated using this model should be corrected and reduced by half. Test results indicate that in terms of slope stability the root systems of beech and hornbeam have the most favourable properties - their maximum effect of soil reinforcement in the profile to the depth of 0.5 m does not usually exceed 30 kPa, and to the depth of 1 m - 20 kPa. The root systems of conifers have the least impact on the slope reinforcement, usually increasing the soil shear strength by less than 5 kPa. These values coincide to a large extent with the range of shear strength increase obtained from the direct shear test as well as results of stability analysis given in literature and carried out as part of this work. The analysis of the literature indicates that the methods of measuring tree's root systems as well as their interpretation are very different, which often limits the possibilities of comparing test results. This indicates the need to systematize this type of tests and for this purpose a root distribution model (RDM) can be used, which can be integrated with any deformation bundle model (RBM). A combination of these two calculation models allows the range of soil reinforcement around trees to be determined and this information might be used in practice, while planning bioengineering procedures in areas exposed to surface mass movements. The functionality of this solution can be increased by considering the dynamics of plant develop¬ment in the calculations. This, however, requires conducting this type of research in order to obtain more data.
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