Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 2080-2088 |
| Number of pages | 9 |
| Journal | Energy Procedia |
| Volume | 142 |
| DOIs | |
| Publication status | Published - 1 Dec 2017 |
| Event | 9th International Conference on Applied Energy: ICAE2017 - Cardiff, United Kingdom Duration: 21 Aug 2017 → 24 Aug 2017 |
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Keywords
- Energy Management
- Demand Response
- Data Analytics
- Gamification
- Smart Cities
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Energy behaviour engagement in smart urban environments. / Carreira, Paulo; Mendes, Gonçalo; Barroca, Bruno; Amaral, Vasco; Honkapuro, Samuli; Prada, Rui.
In: Energy Procedia, Vol. 142, 01.12.2017, p. 2080-2088.Research output: Contribution to journal › Conference article in journal › Academic › peer-review
TY - JOUR
T1 - Energy behaviour engagement in smart urban environments
AU - Carreira, Paulo
AU - Mendes, Gonçalo
AU - Barroca, Bruno
AU - Amaral, Vasco
AU - Honkapuro, Samuli
AU - Prada, Rui
PY - 2017/12/1
Y1 - 2017/12/1
N2 - In today’s ubiquitously connected society, citizens are continuously exposed to information energy usage- related. information However, users are not interpreting or taking appropriate action to benefit from the opportunities such information embodies. This concern is particularly relevant when time-dependent and especially real-time pricing of electricity is available. A parallel problem resides in businesses not transferring energy pricing variations onto their customers, in a way that shields them from effectively contributing to demand response. Under such a scenario, for businesses to remain competitive, different levels of services could be offered, according to the time of day at which energy consumption takes place. This paper is grounded on the assumption that energy consumers require assistance for making appropriate energy usage choices in the ever-complex evolving energy market, especially in consuming services and products that optimize overall energy use. A tentative architecture for a community-wide collaborative energy optimization platform is presented, aimed at engaging citizens, business owners, and city authorities into exploring alternative efficient behaviour scenarios. This work also reviews and discusses how developments in fields of cloud-based data acquisition, energy management, and ICT-based engagement platforms can be integrated to realize this vision.
AB - In today’s ubiquitously connected society, citizens are continuously exposed to information energy usage- related. information However, users are not interpreting or taking appropriate action to benefit from the opportunities such information embodies. This concern is particularly relevant when time-dependent and especially real-time pricing of electricity is available. A parallel problem resides in businesses not transferring energy pricing variations onto their customers, in a way that shields them from effectively contributing to demand response. Under such a scenario, for businesses to remain competitive, different levels of services could be offered, according to the time of day at which energy consumption takes place. This paper is grounded on the assumption that energy consumers require assistance for making appropriate energy usage choices in the ever-complex evolving energy market, especially in consuming services and products that optimize overall energy use. A tentative architecture for a community-wide collaborative energy optimization platform is presented, aimed at engaging citizens, business owners, and city authorities into exploring alternative efficient behaviour scenarios. This work also reviews and discusses how developments in fields of cloud-based data acquisition, energy management, and ICT-based engagement platforms can be integrated to realize this vision.
KW - Energy Management
KW - Demand Response
KW - Data Analytics
KW - Gamification
KW - Smart Cities
U2 - 10.1016/j.egypro.2017.12.580
DO - 10.1016/j.egypro.2017.12.580
M3 - Conference article in journal
VL - 142
SP - 2080
EP - 2088
JO - Energy Procedia
JF - Energy Procedia
SN - 1876-6102
ER -