LOCAL ENERGY AND FLEXIBILITY MARKETS TO FOSTER DEMAND RESPONSE MODES OF USE ENABLING COMMUNITY AND ENERGY PROVIDER ORIENTED BUSINESS MODELS

2021 ◽  
Author(s):  
E. Rodrigues ◽  
G. Mendes
2019 ◽  
Vol 256 ◽  
pp. 113913 ◽  
Author(s):  
Esther Mengelkamp ◽  
David Schlund ◽  
Christof Weinhardt

Buildings ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. 93 ◽  
Author(s):  
Mario Sisinni ◽  
Federico Noris ◽  
Sander Smit ◽  
Thomas Messervey ◽  
Tracey Crosbie ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4629 ◽  
Author(s):  
Emilio Ghiani ◽  
Andrea Giordano ◽  
Andrea Nieddu ◽  
Luca Rosetti ◽  
Fabrizio Pilo

Recent strategic policies and regulations dealing with market liberalization and decarbonization plans, such as the European directives contained in the recent EU Clean Energy for All Europeans Package, are seeking to promote new roles for citizens in the management of the self-produced renewable energy and the development of local energy markets. In this context, this paper aims at presenting the planning actions for the transition of the current passive distribution system of the Municipality of Berchidda (Italy) towards a smart local energy community. This planning study represents the first stage of a development action financed by the Sardinian Region, whose Regional Energetic and Environmental Plan identifies the Municipality of Berchidda as a priority area to focus the experimental actions for innovative smart grids and intelligent energy management. The project, named “Berchidda Energy 4.0”, focuses on increasing the energy efficiency of the community by boosting local renewable generation production and maximizing its self-consumption, also with the support of storage systems, as well as increasing the active involvement of the consumers that will be equipped with a smart home automation system for demand response applications.


SIMULATION ◽  
2021 ◽  
pp. 003754972110200
Author(s):  
Jonathan Muraña ◽  
Sergio Nesmachnow

This article presents the evaluation of multicriteria planning heuristics for demand response in datacenters and supercomputing facilities. This is a relevant problem for science nowadays, when the growing application of cutting-edge technologies (numerical methods, big data processing, artificial intelligence, smart systems, etc.) has raised the energy demands in datacenters. The proposed approach involves a negotiation mechanism for colocation datacenters, where the datacenter operator agrees prices and quality of service with a group of tenants. Twelve different multicriteria heuristics are proposed for planning using both local and global information at tenants and datacenter operator levels. The proposed approach is evaluated applying simulations over realistic scenarios considering different tenant sizes and heterogeneity levels that model different business models for datacenters. Several metrics are computed and Pareto analysis is provided. The main results indicate that accurate trade-off values between the problem objectives are obtained, offering different options for decision making. The proposed approach provides a useful and applicable method for demand response planning in modern datacenters.


Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2721 ◽  
Author(s):  
Cátia Silva ◽  
Pedro Faria ◽  
Zita Vale

The need for new business models to replace existing ones, soon obsolete, is a subject often discussed among researchers in the area. It is essential to find a practical solution that includes the concepts of demand response and distributed generation in the energy markets, these being the future of the electricity grid. It is believed that these resources can bring advantages to the operation of the system, namely increasing technical efficiency. However, one of the problems is the aggregation of small resources as a result of the associated uncertainties. The authors propose a business model with three main phases used in planning: optimal scheduling, aggregation, and remuneration. In this paper, a new phase was added, the classification, with the main purpose of assisting the aggregator of these small resources in operating situations. The focus is on the fair remuneration of participants in the management of the market, in addition to minimizing operating costs. After testing four different remuneration methods, it was proved that the method proposed by the authors obtained better results, proving the viability of the proposed model.


2021 ◽  
Author(s):  
M. Aro ◽  
C. Evens ◽  
K. Mäki ◽  
P. Järventausta

2016 ◽  
Vol 53 (6) ◽  
pp. 3-11 ◽  
Author(s):  
I. Oleinikova ◽  
A. Mutule ◽  
A. Obushevs ◽  
N. Antoskovs

Abstract This paper analyses demand side management (DSM) projects and stakeholders’ experience with the aim to develop, promote and adapt smart grid tehnologies in Latvia. The research aims at identifying possible system service posibilites, including demand response (DR) and determining the appropriate market design for such type of services to be implemented at the Baltic power system level, with the cooperation of distribution system operator (DSO) and transmission system operator (TSO). This paper is prepared as an extract from the global smart grid best practices, smart solutions and business models.


2014 ◽  
Vol 19 (03) ◽  
pp. 1450014 ◽  
Author(s):  
INGRID WAKKEE ◽  
RAHUL BARUA ◽  
PIETER VAN BEUKERING

The central assumption of publicly-supported market development programs is that providing resources to local entrepreneurs and strengthening the business environments fosters the emergence of self-sustaining local energy access ventures. We explore this assumption by applying a business model lens to analyze how participation in a market development program affects the development of local energy access ventures. Using the domestic biogas market development program in Rwanda as our case, we evaluate program design, the role of local entrepreneurs and interactions between participating ventures and the coordinating office to determine how market development programs contribute to a self-sustaining private energy sector. While providing a detailed framework for local ventures, the business model offers entrepreneurs few possibilities to act entrepreneurial and exploit local opportunities. Consequently, such programs will attract necessity-driven rather than opportunity- and growth-driven entrepreneurs, causing concern for the achievement of program objectives and the establishment of a self-sustaining private sector.


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