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A Spreadsheet Algorithm for Determin...

University of Arkansas.

A Spreadsheet Algorithm for Determining the Economic Feasibility of Micro-CHP Systems in the Arkansas Manufacturing Sector.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A Spreadsheet Algorithm for Determining the Economic Feasibility of Micro-CHP Systems in the Arkansas Manufacturing Sector./
作者:	Lewallen, Ford.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	341 p.
附註:	Source: Masters Abstracts International, Volume: 56-06.
Contained By:	Masters Abstracts International56-06(E).
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10607090
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. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 341 p.

Source: Masters Abstracts International, Volume: 56-06.

Thesis (M.S.M.E.)--University of Arkansas, 2017.

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.

ISBN: 9780355138627Subjects--Topical Terms:

557493
Mechanical engineering.

A Spreadsheet Algorithm for Determining the Economic Feasibility of Micro-CHP Systems in the Arkansas Manufacturing Sector.
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500 $a Adviser: Darin Nutter.
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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.
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