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Estimating the benefits of cooperation in a residential microgrid : a data-driven approach

Title data

Fridgen, Gilbert ; Rieger, Alexander ; Thummert, Robert ; Kahlen, Micha ; Ketter, Wolfgang:
Estimating the benefits of cooperation in a residential microgrid : a data-driven approach.
In: Applied Energy. Vol. 180 (October 2016) . - pp. 130-141.
ISSN 1872-9118
DOI: https://doi.org/10.1016/j.apenergy.2016.07.105

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Energie und kritische InfrastrukturenNo information

Abstract in another language

Private households are increasingly taking cooperative action to change their energy consumption patterns in pursuit of green, social, and economic objectives. Cooperative demand response (DR) programs can contribute to these common goals in several ways. To quantify their potential, we use detailed energy consumption and production data collected from 201 households in Austin (Texas) over the year 2014 as well as historic real-time prices from the Austin wholesale market. To simulate cooperative DR, we adapt a load-scheduling algorithm to support both real-time retail prices and a capacity-pricing component (two-part pricing schemes). Our results suggest that cooperative DR results in higher cost savings for households than individual DR. Whereas cooperative DR that is based on real-time pricing alone leads to an increase in peak demand, we show that adding a capacity-pricing component is able to counteract this effect. The capacity-pricing component successfully reduces the cooperative’s peak demand and also increases the cost savings potential. Effective peak shaving is furthermore only possible in a cooperative setting. We conclude that cooperative DR programs are not only beneficial to customers but also to energy providers. The use of appropriate tariffs allows consumers and suppliers to share these benefits fairly.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Demand response; Energy cooperatives; Microgrids; Peak shaving; Energy tariffs
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management > Professorship Business Informations Systems and sustainable IT management- Univ.-Prof. Dr. Gilbert Fridgen
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 12 Oct 2016 12:13
Last Modified: 07 Mar 2018 11:58
URI: https://eref.uni-bayreuth.de/id/eprint/34916