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LokalPower: Enabling Local Energy Markets with User-Driven Engagement

Series
CHI EA '18
ISBN
978-1-4503-5621-3/18/04
Type
conference poster
Date Issued
2018-04
Author(s)
Meeuw, Arne  
;
Schopfer, Sandro
;
Ryder, Benjamin
;
Wortmann, Felix  
DOI
10.1145/3170427.3188610
Abstract
With the advent of decentralised energy resources (DERs), there has been increased pressure on classic grid infrastructure to manage non-dispatchable resources. In face of these challenges, microgrids provide a new way of managing and distributing DERs and are characterised as core building blocks of smart grids. In this context blockchain technology enables transaction-based systems for keeping track of energy flows in between producing and consuming parties. However, such systems are not intuitive and introduce challenges for the user»s understanding. In our current work, we introduce a user-centric approach to utilise a transactional data structure, providing transparency and understanding for when and from where electric energy is consumed. We present our approach for an engaging user interface and a preliminary study with feedback from solar installation owners and close with remarks on our future research plans.
Language
English
Keywords
blockchain technology
eco-feedback
energy transparency
microgrids
peer to peer markets
user engagement
HSG Classification
contribution to scientific community
Publisher
ACM
Publisher place
Montreal, QC, Canada
Start page
LBW613:1
End page
LBW613:6
Pages
6
Event Title
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Event Location
Montréal, QC, Canada
Event Date
21.-26. April 2018
Official URL
http://doi.acm.org/10.1145/3170427.3188610
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/100619
Subject(s)

other research area

information managemen...

Division(s)

ITEM - Institute of T...

IWI - Institute of In...

Contact Email Address
arne.meeuw@unisg.ch
Eprints ID
254083
File(s)
Thumbnail Image

open.access

Name

LBW613.pdf_ip=66.171.173.253&id=3188610&acc=OPEN&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E6D218144511F3437&__acm__=1524509723_25766e74e2cc877e037aea7461adb4e8

Size

8.56 MB

Format

Adobe PDF

Checksum (MD5)

e1a16b83f88f222bc6acfda2b3987edb

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