Abstract
Research on electric profiles analysis is gaining momentum due to the smart meters rollout around the world and with big datasets being produced. Furthermore, new business models taking advantage of peer to peer schemes, blockchain technologies and decentralized electricity generation from renewable energy sources are emerging.
The main objective of this paper is to characterize and typify consumer load profiles by economic sector and power level, later evaluating their potential complementarity and links to solar photovoltaic generation. It was performed a set of statistical data analysis over 15-minute electricity consumption data registries of the years 2014/2015 from a sample of over 3000 smart meters from the most relevant 10 economic sectors of a city. The city of tvora in Portugal was used as a case study.
The results show that it has been possible to typify annual and daily profiles (mainly daily profiles) in several sectors, namely: public administration, retail, education, public lighting, health, and services. Additionally, it was disclosed that there is a huge complementarity between important economic sectors (either at a daily or seasonal level and with different power levels) identifying shared investments opportunities on PV systems.
This work allowed to go forward in the analysis of electricity consumption at high temporal granularity, indicating its interest to improve the electric consumption rationality and promote the integration of renewables energies in many economic sectors.
The main objective of this paper is to characterize and typify consumer load profiles by economic sector and power level, later evaluating their potential complementarity and links to solar photovoltaic generation. It was performed a set of statistical data analysis over 15-minute electricity consumption data registries of the years 2014/2015 from a sample of over 3000 smart meters from the most relevant 10 economic sectors of a city. The city of tvora in Portugal was used as a case study.
The results show that it has been possible to typify annual and daily profiles (mainly daily profiles) in several sectors, namely: public administration, retail, education, public lighting, health, and services. Additionally, it was disclosed that there is a huge complementarity between important economic sectors (either at a daily or seasonal level and with different power levels) identifying shared investments opportunities on PV systems.
This work allowed to go forward in the analysis of electricity consumption at high temporal granularity, indicating its interest to improve the electric consumption rationality and promote the integration of renewables energies in many economic sectors.
| Original language | English |
|---|---|
| Title of host publication | PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ENERGY & ENVIRONMENT (ICEE 2019): BRINGING TOGETHER ENGINEERING AND ECONOMICS |
| Editors | P. Ferreira, I. Soares |
| Publisher | Universidade do Minho |
| Pages | 419-424 |
| ISBN (Print) | 978-989-97050-9-8 |
| Publication status | Published - 2019 |
| Event | 4th International Conference on Energy and Environment - Bringing together Engineering and Economics (ICEE) - Guimarães, Portugal Duration: 16 May 2019 → 17 May 2019 |
Publication series
| Name | ICEE International Conference on Energy & Environment |
|---|---|
| ISSN (Print) | 2183-3982 |
Conference
| Conference | 4th International Conference on Energy and Environment - Bringing together Engineering and Economics (ICEE) |
|---|---|
| Country/Territory | Portugal |
| City | Guimarães |
| Period | 16/05/19 → 17/05/19 |
Keywords
- Smart Meters
- Electricity Consumption Profiles
- Economic Sectors
