10 research outputs found
Social integration and system integration: Reconsidering the classical distinction
Accepted versio
The role of libraries in the teaching and studying of french in secondary schools in West Africa
Induction of Angiogenic Immediate Early Genes by Activation of FP Prostanoid Receptors in Cultured Human Ciliary Smooth Muscle Cells
Use of the inhibition of enzymatic antioxidant systems in order to evaluate their physiological importance
Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand
Demand response is receiving increasing interest as a new form of flexibility within lowcarbon
power systems. Energy models are an important tool to assess the potential
capability of demand side contributions. This paper critically reviews the assumptions in
current models and introduces a new conceptual framework to better facilitate such an
assessment.
We propose three dimensions along which change could occur, namely technology,
activities and service expectations. Using this framework, the socio-technical assumptions
underpinning ‘bottom-up’ activity-based energy demand models are identified and a
number of shortcomings are discussed.
First, links between appliance usage and activities are not evidence-based. We propose
new data collection approaches to address this gap. Second, aside from thermal comfort,
service expectations, which can be an important source of flexibility, are underrepresented
and their inclusion into demand models would improve their predicative power
in this area. Finally, flexibility can be present over a range of time scales, from immediate
responses, to longer term trends. Longitudinal time use data from participants in demand
response schemes may be able to illuminate these.
The recommendations of this paper seek to enhance the current state-of-the-art in
activity-based models and to provide useful tools for the assessment of demand response