Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A Dynamic Pricing Framework for Water Demand Management Using Advanced Metering Infrastructure Data
by
Alghamdi, Faisal Mohammed G
in
Civil engineering
/ Elasticity of demand
/ Environmental economics
/ Environmental engineering
/ Hydrologic sciences
/ Price elasticity
/ Pricing policies
/ Water Resources Management
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A Dynamic Pricing Framework for Water Demand Management Using Advanced Metering Infrastructure Data
by
Alghamdi, Faisal Mohammed G
in
Civil engineering
/ Elasticity of demand
/ Environmental economics
/ Environmental engineering
/ Hydrologic sciences
/ Price elasticity
/ Pricing policies
/ Water Resources Management
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A Dynamic Pricing Framework for Water Demand Management Using Advanced Metering Infrastructure Data
by
Alghamdi, Faisal Mohammed G
in
Civil engineering
/ Elasticity of demand
/ Environmental economics
/ Environmental engineering
/ Hydrologic sciences
/ Price elasticity
/ Pricing policies
/ Water Resources Management
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A Dynamic Pricing Framework for Water Demand Management Using Advanced Metering Infrastructure Data
Dissertation
A Dynamic Pricing Framework for Water Demand Management Using Advanced Metering Infrastructure Data
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Cities face continuous challenges in maintaining and operating reliable water supply systems. Management strategies are needed to support both water conservation and cost reduction of infrastructure operations. New pricing policies can be used as an instrument of water demand management to reduce the cost of operating, maintaining, and expanding water distribution networks. As utilities adopt advanced metering infrastructure (AMI), new data that describe water consumption at high temporal resolution and accuracy are available and can be used to evaluate demand management policies. In this research, dynamic pricing strategies are developed and evaluated as a tool to enhance the performance and life of water distribution systems (WDSs). This research investigates the performance of a dynamic pricing framework designed to flatten the daily demand curve by reducing peak demand. Demand changes reduce peak flows within the WDS to mitigate the cost of energy. Several criteria are used to evaluate the effects of dynamic pricing on drinking water infrastructure management, including the cost of water for consumers and the hydraulic performance of the network, based on water loss, peak flow, energy consumption, energy cost, and water age. AMI data collected at nearly 20,000 accounts at Lakewood City in California are used to develop a model of expected water use and simulate changes in consumption and innetwork metrics. This research developed four dynamic pricing policies with different parameters and levels of constraints to test the model. Analysis is conducted to explore reductions in the peak demand, reduction in total water demands, and hydraulic performance. Results demonstrate that reductions in peak demand ranging from 8% to 20% lead to a 40% reduction in peak energy demands and a 10-11% reduction in total energy, with a maximum of 13% reduction in energy cost. Cost savings reflect the importance of dynamic pricing as a demand-side strategy to manage infrastructure. Operational costs can be lowered without new infrastructure investment or expansion, while continuing to meet urban water demands.
Publisher
ProQuest Dissertations & Theses
Subject
ISBN
9798759926924
This website uses cookies to ensure you get the best experience on our website.