scholarly journals Load Optimization in Ceylon Steel Corporation through Economic Demand Response Model: A Case Study

2021 ◽  
Vol 54 (2) ◽  
pp. 15
Author(s):  
W. M. U. Wijerathne ◽  
K. A. C. Udayakumar ◽  
R. H. G. Sasikala
Keyword(s):  
Demand Response ◽  
Response Model ◽  
Load Optimization ◽  
Steel Corporation

Real-time price-based demand response model for combined heat and power systems

Energy ◽  
2019 ◽  
Vol 168 ◽  
pp. 1119-1127 ◽  
Author(s):  
Manijeh Alipour ◽  
Kazem Zare ◽  
Heresh Seyedi ◽  
Mehdi Jalali
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Demand Response ◽  
Combined Heat And Power ◽  
Response Model ◽  
Time Price

scholarly journals Thermal demand response model considering user's satisfaction with heat consumption under electrothermal coupling

2021 ◽  
Vol 236 ◽  
pp. 01034
Author(s):  
Wang Zhenyu ◽  
Zhang Jianhua ◽  
Hu Chunlan ◽  
Xu Lanlan ◽  
Han Yongjun
Keyword(s):  
Demand Response ◽  
Supply And Demand ◽  
Thermal Power ◽  
Response Model ◽  
Power Demand ◽  
Time Sharing ◽  
Economic Operation ◽  
New Energy ◽  
Heating Mode ◽  
Demand Side Response

.In recent years, the development of new energy has become a bottleneck. As a high-quality demand side response resource that can be flexibly dispatched, thermal load can be used to promote the consumption and utilization of new energy. Based on the theory of peak valley electricity price and power demand response mechanism, this paper designs a demand response model of thermal price type, which uses time-sharing heat price to guide users to use heat orderly on the heating side. The simulation results show that the reasonable setting of heat price and satisfaction constraints of different heating modes can effectively change the heating mode of the user side and alleviate the contradiction between the supply and demand of thermal power, reduce the heating cost and realize the economic operation of the system.

scholarly journals KPI Evaluation Framework and Tools Performance: A Case Study from the inteGRIDy Project

2021 ◽  
Vol 11 (1) ◽  
pp. 23
Author(s):  
Chris Ogwumike ◽  
Huda Dawood ◽  
Tariq Ahmed ◽  
Bjarnhedinn Gudlaugsson ◽  
Nashwan Dawood
Keyword(s):  
Demand Response ◽  
Performance Indicators ◽  
Storage System ◽  
Energy Storage System ◽  
Heat Pumps ◽  
Evaluation Framework ◽  
Pilot Site ◽  
Network Operator ◽  
Case Evaluation

This paper presents an assessment of the impacts of the different tools implemented within the inteGRIDy project through the analysis of key performance indicators (KPIs) that appropriately reflect the technical and economic domains of the inteGRIDy thematic pillars, comprising demand response and battery storage systems. The evaluation is based on improvements brought about by individual components of the inteGRIDy-enabled smart solution across the Isle of Wight (IOW) pilot site. The analyses and the interpretation of findings for the pilot use case evaluation are presented. The results indicate that the smart solution implementation across the IOW pilot site resulted in achieving the inteGRIDy set objectives. Overall, a 93% reduction in energy consumption, equivalent to 643 kWh was achieved, via the M7 energy storage system and heat pumps developed as part of inteGRIDy solution. Additionally, the grid efficiency and demand flexibility contribution to the distribution network operator (DNO)-triggered DR services, based on a 10% increase/decrease in demand, resulted in stabilizing the grid efficiency.

scholarly journals Assessing the Risk to Indoor Thermal Environments on Industrial Sites Offering AHU Capacity for Demand Response

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6261
Author(s):  
Alexander Brem ◽  
Ken Bruton ◽  
Paul D. O’Sullivan
Keyword(s):  
Demand Response ◽  
Response Times ◽  
Industrial Sector ◽  
Industrial Building ◽  
Factors Affecting ◽  
Ambient Temperatures ◽  
Thermal Environments ◽  
Industrial Sites ◽  
Electricity Grids

Increasing participation in demand response within the industrial sector may be crucial to growing the levels of available flexible capacity required to reliably control national electricity grids as renewable generation increases to satisfy emission targets. This research aims to assist the uptake of demand response in the industrial sector by investigating risk to indoor thermal environments on industrial sites offering air handling unit capacity for demand response. This evaluation uses a systematic model-based approach, calibrated and validated with empirical data from a relevant case study industrial building to assess risk through a number of scenarios. The conditions investigated cover several relevant grid response times and durations, and national and international extreme external ambient temperatures in the past, present and future under a variety of temperature limits. The study demonstrated that there is very low risk to the case study site participating in demand response, with only 15 of 264 initial and 284 of 936 total scenarios triggering any risk. The major factors affecting risk levels identified were more stringent temperature limits and the influence of more extreme climates. The development and implementation of this concept has considerable potential to benefit industrial participants and the wider national electricity grids.

scholarly journals A Model for Multi-Energy Demand Response with Its Application in Optimal TOU Price

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 994 ◽  
Author(s):  
Nan Zhao ◽  
Beibei Wang ◽  
Mingshen Wang
Keyword(s):  
Demand Response ◽  
Energy Demand ◽  
Alternative Energy ◽  
Energy System ◽  
Response Characteristic ◽  
Test System ◽  
Interior Point Algorithm ◽  
Response Model ◽  
Transfer Energy ◽  
Typical Application

With the generalization of the integrated energy system (IES) on the demand side, multi-energy users may participate in a demand response (DR) program based on their flexible consumption of energy. However, since users could choose using alternative energy or transfer energy consumption to other time periods, obtaining response characteristics of this type of DR usually appears more complicated than traditional single-energy DR. To obtain the response characteristic, a response model for multi-energy DR, which reflects the relations between electricity (gas) response and time-of-use (TOU) electric prices, is proposed. The model is characterized by several coefficients which are associated with electric and heat efficiency. The model is obtained through the derivation process of optimizing user’s energy-using problem. Then, as a typical application of the response model, the TOU electric pricing for multi-energy users is able to be formulated by an interior point algorithm after giving the Kuhn-Tucker conditions of the optimal problem. Typical results of the optimal TOU pricing are further illustrated through the formulation on a PJM five-bus test system. It demonstrates that optimal TOU pricing can be effectively pre-calculated by the utility company using the proposed response model.

scholarly journals Demand Response Model Development for Smart Households Using Time of Use Tariffs and Optimal Control—The Isle of Wight Energy Autonomous Community Case Study

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 541 ◽  
Author(s):  
Sourav Khanna ◽  
Victor Becerra ◽  
Adib Allahham ◽  
Damian Giaouris ◽  
Jamie M. Foster ◽  
...  
Keyword(s):  
Demand Response ◽  
Large Scale ◽  
Energy Transport ◽  
Model Development ◽  
Software Tool ◽  
Load Flow ◽  
Smart Devices ◽  
Smart Meters ◽  
Isle Of Wight

Residential variable energy price schemes can be made more effective with the use of a demand response (DR) strategy along with smart appliances. Using DR, the electricity bill of participating customers/households can be minimised, while pursuing other aims such as demand-shifting and maximising consumption of locally generated renewable-electricity. In this article, a two-stage optimization method is used to implement a price-based implicit DR scheme. The model considers a range of novel smart devices/technologies/schemes, connected to smart-meters and a local DR-Controller. A case study with various decarbonisation scenarios is used to analyse the effects of deploying the proposed DR-scheme in households located in the west area of the Isle of Wight (Southern United Kingdom). There are approximately 15,000 households, of which 3000 are not connected to the gas-network. Using a distribution network model along with a load flow software-tool, the secondary voltages and apparent-power through transformers at the relevant substations are computed. The results show that in summer, participating households could export up to 6.4 MW of power, which is 10% of installed large-scale photovoltaics (PV) capacity on the island. Average carbon dioxide equivalent (CO2e) reductions of 7.1 ktons/annum and a reduction in combined energy/transport fuel-bills of 60%/annum could be achieved by participating households.

Modeling the long-term impact of demand response in energy planning: The Portuguese electric system case study

Energy ◽  
2018 ◽  
Vol 165 ◽  
pp. 456-468 ◽  
Author(s):  
João Anjo ◽  
Diana Neves ◽  
Carlos Silva ◽  
Abhishek Shivakumar ◽  
Mark Howells
Keyword(s):  
Demand Response ◽  
Energy Planning ◽  
Electric System ◽  
Long Term Impact
Sign in / Sign up

Export Citation Format

Share Document