A standardised flexibility assessment methodology for demand response

TitleA standardised flexibility assessment methodology for demand response
Publication TypeJournal Article
Year of Publication2019
AuthorsO’Connell, S, Reynders, G, Seri, F, Sterling, R, Keane, MM
JournalInternational Journal of Building Pathology and Adaptation
PublisherEmerald Publishing Limited
LanguageEnglish
ISSN2398-4708
KeywordsDemand response; Demand side management; Demonstration study; Energy flexible buildings; Smart grid; Smart readiness indicator
Abstract

Purpose
The purpose of this paper is to standardised four-step flexibility assessment methodology for evaluating the available electrical load reduction or increase a building can provide in response to a signal from an aggregator or grid operator.

Design/methodology/approach
The four steps in the methodology consist of Step 1: systems, loads, storage and generation identification; Step 2: flexibility characterisation; Step 3: scenario modelling; and Step 4: key performance indicator (KPI) label.

Findings
A detailed case study for one building, validated through on-site experiments, verified the feasibility and accuracy of the approach.

Research limitations/implications
The results were benchmarked against available demonstration studies but could benefit from the future development of standardised benchmarks.

Practical implications
The ease of implementation enables building operators to quickly and cost effectively evaluate the flexibility of their building. By clearly defining the flexibility range, the KPI label enables contract negotiation between stakeholders for demand side services. It may also be applicable as a smart readiness indicator.

Social implications
The novel KPI label has the capability to operationalise the concept of building flexibility to a wider spectrum of society, enabling smart grid demand response roll-out to residential and small commercial customers.

Originality/value
This paper fulfils an identified need for an early stage flexibility assessment which explicitly includes source selection that can be implemented in an offline manner without the need for extensive real-time data acquisition, ICT platforms or additional metre and sensor installations.

DOI10.1108/IJBPA-01-2019-0011