dc.contributor.advisor |
Hemapala, KTMU |
|
dc.contributor.author |
Gunatilaka, J |
|
dc.date.accessioned |
2012-10-26T12:19:23Z |
|
dc.date.available |
2012-10-26T12:19:23Z |
|
dc.identifier.citation |
Gunatilaka, J. (2012). Error correction for TEBA application in a building management system [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/2086 |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/2086 |
|
dc.description.abstract |
Every increase in the unit cost of Energy just magnifies the importance of conserving energy and can’t accomplish that without tracking its use. More than ever, sub-metering is being applied in industrial as well as the traditional commercial and residential applications to encourage conservation and increase productivity. Smart Energy monitoring & Billing is new concept in the word and near future need the requirement & regulations for the smart Energy Billing for smart Building Owner and Tenant Energy User.
Smart Energy monitoring & Billing is new concept for Sri Lanka and near future need the requirement & regulations for the smart Energy Billing. In Present many of the countries in the word are decided to intended regulations for commercial building & other energy consumers in their country.
Although sub-metering can be used to perform most critical functions such as equipment monitoring, trending, alarming, predicative maintenance, communication, and power quality analysis. This research will concentrate on Tenant billing of the Energy.
Cooling Energy billing is one of the particular areas of the energy billing in commercial building sector Including Electrical Energy Usage, Cooling Energy Generation, and Cooling Energy Distribution & Tenant Side Air Handling Unit Energy Consumptions.
The thesis is based for identification of existing billing method for cooling Energy billing and introduced new strategy for chilled water cooling energy billing system. Using existing building energy billing system one month period real time energy data and mathematically functions analyzed new algorithm for error correction. In this error correction algorithm introduced estimation method for cooling energy loss & stored energy in the chilled water piping System. The data simulation for the new method the existing energy billing error reduced around 50% of existing real time energy billing system. That strategy application of chilled water energy billing system be more smart Billing for tenant & building owner. |
|
dc.language.iso |
en |
en_US |
dc.subject |
ELECTRICAL ENGINEERING - Thesis |
|
dc.subject |
ELECTRICAL INSTALLATIONS - Thesis |
|
dc.subject |
BUILDING SERVICES |
|
dc.subject |
BUILDING MANAGEMENT SYSTEMS |
|
dc.subject |
ENERGY CONSERVATION |
|
dc.title |
Error correction for TEBA application in a building management system |
|
dc.type |
Thesis-Abstract |
|
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.degree |
MSc |
en_US |
dc.identifier.department |
Department of Electrical Engineering |
en_US |
dc.date.accept |
2012 |
|
dc.identifier.accno |
102858 |
en_US |