Renewable Energy Technology

SCENARIO

University of Norton, which is located in SW England, aims to significantly reducing its carbon footprint over the next 15 years. You are required to complete a renewable energy plan and report for Norton University. The initial priority is to use RET for all its electricity consumption, and thus reduce its high cost and CO2 emissions. Current electricity consumption per month, costs and electric Kw loads based on the above profile graph were recorded as follows:

%load Hrs/day Base load + Doy load Peak load 0:00-24:00 9:00-18:00 9:00-18:00 50% 50% Base+Day 24 /0 10 Month kwh Tariff unit price Cost days Kw Kw Kw Aug Sep 132626 149585 11 £14,589 11 £16,454 31 30 89 214 249 303 353 Oct Nov 181457 186532 11 £19,960 18 £33,576 31 30 122 130 2. 311 415 .0 Dec Jan 163906 169728 18 £29,503 18 £30,551 31 31 110 114 2. 274 375 388 Feb Mar 186353 181749 18 £33,544 11 £19,992 28 31 139 122 333 2. 471 415 Apr May 163021 170888 11 £17,932 11 £18,798 30 31 113 115 272 276 385 390 Jun Jul143627 ~~ 11 £15,799 11 £14,320 30 31 87 239 210 339 297 Tot/max 1959657 £265,019 139 471

Average costs were estimated at 11p/kwh: Mar-Oct, and 18p/kwh: Nov-Feb. The hourly electricity profile, above, found that 50% of the nyb,was consumed as a base load 0:00-24:00 while the remaining 50% was added to this usage between 9:00 and 18:00 (10=100%). Equipped with this information you are now required to develop the following tasks:

Key: RET — Renewable Energy Technology

  1. a) The University is now keen to develop your plans outlined in task 1 and would like you to consider how each renewable energy system could be connected with local energy systems, such as the electricity grid, battery storage and each other. To help with this, a size (Kw rating) has been proposed in the table below for the 3 RETs.
  2. To best describe how each RET could be connected with the university’s energy system needs, use an Excel spreadsheet to determine the output of each renewable system in terms of monthly power, energy and value as laid out below. Also find the total RET output and compare with the University’s monthly demand (Le, find the difference).

Briefly discuss if the proposal will meet the total consumption of the University by comparing monthly/total kWh from 3 RETs against the needs of the University. As the timing of renewable energy availability may not match demand, you should briefly describe what months the university is likely to be importing and exporting to the grid or battery storage.

iii. You have also been asked to re-run your spreadsheet with new RET sizes (adjust their Kw rating as appropriate) that you think might be a better cost or energy mix. Remember to show all your calculations and briefly describe your findings.

Guidance: The format and analysis approach for 3 common RE, are shown below; this approach could also be used for other RETs. You should use the Windows Accessories Snipping tool to copy/paste samples of your spreadsheet work into your assessment for completeness, as well as including a copy of your spreadsheet Wind —0(.10096 :7. Kw.,C.,7516 AO

Note: Actual monthly ‘capacity factor’ vanes depending on the season, use the following: For Wind: Nov-Feb=30% and Mar-Oct=25%, and for Solar: Sep-Nov=8%, Dec-Feb=3%, Mar-May=13%, Jun-Aug=16%. The CHP 300 Kw rating is its fuel input requirement and not its electrical rating