Next Article in Journal
Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun
Next Article in Special Issue
The System Dynamics (SD) Analysis of the Government and Power Producers’ Evolutionary Game Strategies Based on Carbon Trading (CT) Mechanism: A Case of China
Previous Article in Journal
Energy-Independent Architectural Models for Residential Complex Plans through Solar Energy in Daegu Metropolitan City, South Korea
Previous Article in Special Issue
Communication Barriers and Lessons Learned in Energy Policy
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(2), 483; https://doi.org/10.3390/su10020483

Integration of Methodologies for the Evaluation of Offer Curves in Energy and Capacity Markets through Energy Efficiency and Demand Response

1
Department of Electrical Engineering, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
2
Institute for Energy Engineering, Universidad Politécnica de Valencia, 46022 Valencia, Spain
3
Department of Applied Mathematics and Statistics, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
4
Department of Mechanics and Energy Engineering, Universidad Miguel Hernández de Elche, 03202 Elche, Spain
*
Author to whom correspondence should be addressed.
Received: 31 December 2017 / Revised: 2 February 2018 / Accepted: 8 February 2018 / Published: 11 February 2018
View Full-Text   |   Download PDF [2248 KB, uploaded 11 February 2018]   |  

Abstract

The objectives of improving the efficiency, and integration, of renewable sources by 2030–2050 are complex in practice and should be linked to an increase of demand-side flexibility. The main challenges to achieving this flexibility are the lack of incentives and an adequate framework. For instance, customers’ revenue is usually low, the volatility of prices is high and there is not any practical feedback to customers from smart meters. The possibility of increasing customer revenue could reduce the uncertainty with respect to economic concerns, improving investments in efficiency, enabling technology and thus, engaging more customers in these policies. This objective could be achieved by the participation of customers in several markets. Moreover, Demand Response and Energy Efficiency can share ICT technologies but this participation needs to perform an aggregation of demand. The idea of this paper is to present some methodologies for facilitating the definition and evaluation of energy versus cost curves; and subsequently to estimate potential revenues due to Demand Response. This can be accomplished by models that estimate: demand and energy aggregation; economic opportunities and benefits; impacts on customer convenience; customer feedback and price analysis. By doing so, we would have comprehensive information that can help customers and aggregators to define energy packages and their monetary value with the objective of fostering their market participation. View Full-Text
Keywords: demand response; load modelling; energy efficiency; economic dr models; information and communication technology; electricity markets; load disaggregation demand response; load modelling; energy efficiency; economic dr models; information and communication technology; electricity markets; load disaggregation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Gabaldón, A.; Álvarez, C.; Ruiz-Abellón, M.C.; Guillamón, A.; Valero-Verdú, S.; Molina, R.; García-Garre, A. Integration of Methodologies for the Evaluation of Offer Curves in Energy and Capacity Markets through Energy Efficiency and Demand Response. Sustainability 2018, 10, 483.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top