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

Curtis, M., Torriti, J. ORCID: and Smith, S. T. ORCID: (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

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


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
Divisions:Interdisciplinary centres and themes > Energy Research
Science > School of the Built Environment > Energy and Environmental Engineering group
ID Code:78070
Uncontrolled Keywords:Demand side response; Estimation comparative analysis; Method review; Electricity demand


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