Accessibility navigation


A comparative analysis of building energy estimation methods in the context of demand response

Curtis, M., Torriti, J. and Smith, S. T. (2018) A comparative analysis of building energy estimation methods in the context of demand response. Energy and Buildings, 174. pp. 13-25. ISSN 0378-7788

[img] Text - Accepted Version
· Restricted to Repository staff only until 20 June 2019.
· Available under License Creative Commons Attribution Non-commercial No Derivatives.

1MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.enbuild.2018.06.004

Abstract/Summary

A critical element of assessing a building’s suitability for Demand Side Response (DSR) is understanding its turndown potential to ensure that DSR participation will be financially viable. While research has been undertaken on site level DSR estimation methods, there is currently no research that compares the outcomes of these methods. This paper compares four non-domestic energy estimation methods used for understanding the DSR potential of electrical appliances in a building to provide insights about uncertainty levels based on input requirements. Each method is deployed to estimate the DSR potential of HVAC chiller assets at two UK hotels over two years. The results show the methods have a range of error levels from the highest Mean Average Percentage Error (MAPE) of 159% to the lowest MAPE of 39%. The input requirements followed a general trend of more complex informational inputs resulting in lower error values. The outcomes of this research enable users to make informed decisions in selecting DSR estimation methods based on information availability and acceptable estimation error levels.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of the Built Environment > Construction Management and Engineering > Innovative and Sustainable Technologies
Interdisciplinary centres and themes > Energy Research
ID Code:78070
Uncontrolled Keywords:Demand side response; Estimation comparative analysis; Method review; Electricity demand
Publisher:Elsevier

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation