Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
A Spreadsheet Algorithm for Determin...
~
Lewallen, Ford.
A Spreadsheet Algorithm for Determining the Economic Feasibility of Micro-CHP Systems in the Arkansas Manufacturing Sector.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
A Spreadsheet Algorithm for Determining the Economic Feasibility of Micro-CHP Systems in the Arkansas Manufacturing Sector./
Author:
Lewallen, Ford.
Description:
1 online resource (341 pages)
Notes:
Source: Masters Abstracts International, Volume: 56-06.
Subject:
Mechanical engineering. -
Online resource:
click for full text (PQDT)
ISBN:
9780355138627
A Spreadsheet Algorithm for Determining the Economic Feasibility of Micro-CHP Systems in the Arkansas Manufacturing Sector.
Lewallen, Ford.
A Spreadsheet Algorithm for Determining the Economic Feasibility of Micro-CHP Systems in the Arkansas Manufacturing Sector.
- 1 online resource (341 pages)
Source: Masters Abstracts International, Volume: 56-06.
Thesis (M.S.M.E.)--University of Arkansas, 2017.
Includes bibliographical references
Combined heat and power (CHP) systems are not new to the market. However, advances in technology, specifically MicroTurbines, have presented new opportunities for installations of micro-CHP units - defined as 50 kWe to 300 kWe, specifically at small- to medium-sized industrial facilities. One pressing concern is whether or not an industrial plant has a high enough process thermal load requirement to fully utilize the energy output.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355138627Subjects--Topical Terms:
557493
Mechanical engineering.
Index Terms--Genre/Form:
554714
Electronic books.
A Spreadsheet Algorithm for Determining the Economic Feasibility of Micro-CHP Systems in the Arkansas Manufacturing Sector.
LDR
:02474ntm a2200337K 4500
001
914964
005
20180727091502.5
006
m o u
007
cr mn||||a|a||
008
190606s2017 xx obm 000 0 eng d
020
$a
9780355138627
035
$a
(MiAaPQ)AAI10607090
035
$a
(MiAaPQ)uark:12661
035
$a
AAI10607090
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
100
1
$a
Lewallen, Ford.
$3
1148578
245
1 2
$a
A Spreadsheet Algorithm for Determining the Economic Feasibility of Micro-CHP Systems in the Arkansas Manufacturing Sector.
264
0
$c
2017
300
$a
1 online resource (341 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Masters Abstracts International, Volume: 56-06.
500
$a
Adviser: Darin Nutter.
502
$a
Thesis (M.S.M.E.)--University of Arkansas, 2017.
504
$a
Includes bibliographical references
520
$a
Combined heat and power (CHP) systems are not new to the market. However, advances in technology, specifically MicroTurbines, have presented new opportunities for installations of micro-CHP units - defined as 50 kWe to 300 kWe, specifically at small- to medium-sized industrial facilities. One pressing concern is whether or not an industrial plant has a high enough process thermal load requirement to fully utilize the energy output.
520
$a
This thesis will discuss simulations that were run on several actual electric and thermal load combinations, which correspond to types of manufacturing facilities commonly found in Arkansas. Analysis of the plant usage profiles will identify economically feasible scenarios from CHP production based on electric and thermal loads, electric demand and energy costs, the cost of natural gas, and CHP unit size and efficiencies. The spreadsheet algorithm will be written in a form to allow a user to select utility rate structures from major utility companies in Arkansas, or customize their own rate schedule, and enter their monthly energy usages and demands. The user can then compare and contrast costs and savings of different CHP units, and then make informed decisions on whether a company would benefit from installing a CHP system.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2018
538
$a
Mode of access: World Wide Web
650
4
$a
Mechanical engineering.
$3
557493
650
4
$a
Energy.
$3
784773
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0548
690
$a
0791
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
710
2
$a
University of Arkansas.
$b
Mechanical Engineering.
$3
1148579
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10607090
$z
click for full text (PQDT)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login