A New Energy Hub Scheduling Model Considering Energy Efficiency and Demand Response Programs as Energy Democracy Policy

2019 ◽  
Author(s):  
M.M.S. Dezfouli ◽  
Sobhan Dorahaki ◽  
Masoud Rashidinejad ◽  
Amir Abdollahi ◽  
Alireza Bakhshai
Keyword(s):  
Energy Efficiency ◽  
Demand Response ◽  
Energy Hub ◽  
Scheduling Model ◽  
New Energy ◽  
Demand Response Programs

scholarly journals Optimal Control of Multiple Microgrids and Buildings by an Aggregator

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1058 ◽  
Author(s):  
Giulio Ferro ◽  
Riccardo Minciardi ◽  
Luca Parodi ◽  
Michela Robba ◽  
Mansueto Rossi
Keyword(s):  
Distributed Generation ◽  
Electric Vehicles ◽  
Demand Response ◽  
Electrical Grid ◽  
Energy Management Systems ◽  
New Energy ◽  
Systems Models ◽  
Fair Assignment ◽  
Demand Response Programs

The electrical grid has been changing in the last decade due to the presence of renewables, distributed generation, storage systems, microgrids, and electric vehicles. The introduction of new legislation and actors in the smart grid’s system opens new challenges for the activities of companies, and for the development of new energy management systems, models, and methods. A new optimization-based bi-level architecture is proposed for an aggregator of consumers in the balancing market, in which incentives for local users (i.e., microgrids, buildings) are considered, as well as flexibility and a fair assignment in reducing the overall load. At the lower level, consumers try to follow the aggregator’s reference values and perform demand response programs to contain their costs and satisfy demands. The approach is applied to a real case study.

scholarly journals Energy-Efficient Multi-Job Scheduling Model for Cloud Computing and Its Genetic Algorithm

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Xiaoli Wang ◽  
Yuping Wang ◽  
Hai Zhu
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Efficient ◽  
Job Scheduling ◽  
Point Of View ◽  
Scheduling Model ◽  
Fitness Value ◽  
New Energy ◽  
Searching Ability ◽  
Local Search Operator

For the problem that the energy efficiency of the cloud computing data center is low, from the point of view of the energy efficiency of the servers, we propose a new energy-efficient multi-job scheduling model based on Google’s massive data processing framework. To solve this model, we design a practical encoding and decoding method for the individuals and construct an overall energy efficiency function of the servers as the fitness value of each individual. Meanwhile, in order to accelerate the convergent speed of our algorithm and enhance its searching ability, a local search operator is introduced. Finally, the experiments show that the proposed algorithm is effective and efficient.

scholarly journals Design and Development of a New Control System For Improving Energy Efficiency and Demand Response

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Guillermo Escriva-Escriva
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Demand Response ◽  
Cost Benefit ◽  
Energy Systems ◽  
Management Actions ◽  
Energy Demands ◽  
New Energy ◽  
Cost Benefit Ratio ◽  
Innovative System

One of the best strategies for improving energy efficiency in any system is using the energy resources in the facilities properly. Using energy systems only when they are absolutely necessary is one of the best cost-benefit ratio strategies, i.e. the best energy saving strategy is, not using it.The aim of this paper resides on introducing a new Energy Management and Control System (EMCS), developed by the authors, which has been installed at the Universitat Politècnica de València. Alongside the paper, the architecture, the components and the installation cost analysis of the EMCS, as well as management actions implemented in the university and the obtained results are presented.Furthermore, this innovative system has been designed to improve demand response in energy systems by providing consumers with a tool for responding actively to energy demands, and also to provide all the different electrical market agents with a communication and business platform for exchanging information.

Demand Response and FERC Mandated Compensation Issues

2012 ◽  
Author(s):  
Donald Lincoln
Keyword(s):  
Energy Efficiency ◽  
Demand Response ◽  
Market Competition ◽  
Peak Load ◽  
Market Price ◽  
Energy Markets ◽  
Local Market ◽  
Wholesale Market ◽  
Market Prices ◽  
Demand Response Programs

This paper describes a Demand Response (DR) pilot event performed at Sandia National Laboratories in August of 2011. This paper includes a description of the planning for the demand response event, sources of energy reduction during the event, the potential financial benefit to Sandia National Laboratories from the event, event implementation issues, and the event results. In addition, this paper presents the implications of the Federal Energy Regulatory Commission (FERC) Order 745, Demand Response Compensation in Organized Wholesale Energy Markets, issued in March 2011. In this order FERC mandates that demand response suppliers must be compensated by the organized wholesale energy markets at the local market price for electricity during the hour the demand response is performed. Energy management in a commercial facility can be segregated into energy efficiency and demand response. Energy efficiency focuses on steady state load minimization. Demand response reduces load for event-driven periods during the peak load. Commercial facility demand response refers to voluntary actions by customers that change their consumption of electric power in response to price signals, incentives, or directions from grid operators at times of high wholesale market prices or when electric system reliability is jeopardized. Demand-response-driven changes in electricity use are designed to be short-term and centered on critical hours during the day when demand is high or when the electricity supplier’s reserve margins are low. Demand response events are typically scheduled between 12:00 p.m. and 7:00 p.m. on eight to 15 days during the hottest period of the year. Analysis has determined that automated demand response programs are more efficient and effective than manually controlled demand response programs due to persistence. FERC has stated that their Order 745 ensures organized wholesale energy market competition and removes barriers to the participation of demand response resources. In Order 745, FERC also directed that the demand response compensation costs be allocated among those customers who benefit from the lower prices for energy resulting from the demand response. FERC has allowed the organized wholesale energy markets to establish details for implementation methods for demand response compensation over the next four years following the final Order issue date. This compensation to suppliers of demand response can be significant since demand response is typically performed during those hours when the wholesale market prices are at their highest levels during the year.

scholarly journals Analysis of building energy upgrade technologies for implementing the dual energy efficiency and demand response scheme for non-residential buildings

2019 ◽  
Vol 282 ◽  
pp. 02016
Author(s):  
Olga Macías ◽  
Sarah Noyé ◽  
Nagore Tellado ◽  
Ignacio Torrens ◽  
Pablo De Agustín ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Business Model ◽  
Demand Response ◽  
Residential Buildings ◽  
Supply And Demand ◽  
Continuous Growth ◽  
Business Opportunity ◽  
New Business ◽  
Storage Technologies ◽  
Demand Response Programs

The continuous growth of renewable energy and the transition to a more de-centralised electricity generation adds significant complexity to balance power supply and demand in the grid. These imbalances are partially compensated by demand response programs, which represent a new business opportunity in the building sector, especially for ESCOs. Including demand response to their traditional energy efficiency-based business model adds an additional revenue stream that could potentially shorten payback periods of energy renovation projects. This paper introduces this new dual-services business model, and evaluates the potential suitability of HVAC, generation and storage technologies to ensure proposed energy efficiency and flexibility goals.

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