scholarly journals A TOU Pricing Mechanism to Promote Renewable Energy Consumption: The Case of the Western Inner Mongolia Grid in China

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Yong-xiu He ◽  
Yue-xia Pang ◽  
Jie Guan
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Inner Mongolia ◽  
Power Plants ◽  
Market Price ◽  
Energy Generation ◽  
Production Costs ◽  
Renewable Energy Consumption ◽  
Pricing Mechanism ◽  
Renewable Energy Generation

The curtailment of wind power and photovoltaic power is becoming increasingly serious from the year 2012 to present in China. And the small installed capacity captive coal-fired power plants have been developed rapidly aiming to cut production costs. Therefore, by the substitution of renewable energy for captive coal-fired power plants, this paper establishes a time-of-use (TOU) pricing mechanism with a linkage between the supply side and the demand side to promote renewable energy consumption, which is applied to the Western Inner Mongolia grid in China. The results show that the benefits to the grid company, electricity users, renewable energy producers, and social environment are influenced by the quantity of renewable energy purchased in the market, the market price for renewable energy, the quantity of electricity from grid to peak shaving, the carbon price, and the quantity of electricity generated by captive coal-fired power plants shifting to grid, in which the first factor has the greatest influence on the benefits of stakeholders. Furthermore, improving the accuracy of renewable energy generation forecast and optimizing using electricity behaviors by considering the renewable energy generation characteristics could ensure the TOU mechanism implementation successfully.

A short-term decline in anthropogenic emission of CO2 in India due to COVID-19 confinement

2020 ◽  
pp. 030913332096674
Author(s):  
Bikash Ranjan Parida ◽  
Somnath Bar ◽  
Nilendu Singh ◽  
Bakimchandra Oinam ◽  
Arvind Chandra Pandey ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Fossil Fuels ◽  
Local Level ◽  
Energy Generation ◽  
Total Change ◽  
Increasing Demand ◽  
Using Data ◽  
Novel Coronavirus ◽  
Renewable Energy Generation

To curb the spread of novel coronavirus (COVID-19), confinement measures were undertaken, which altered the pattern of energy consumption and India’s anthropogenic CO2 emissions during the effective lockdowns periods (January to June 2020). Such changes are being analyzed using data of energy generated from coal and renewable sources and fossil-based daily CO2 emissions. Results revealed that coal-fired (fossil-based) energy generation fell by –13% in March, –29% in April, and –20% in May, and –16.6% in mid-June 2020 as compared with the same period in 2018–2019. Conversely, the renewable energy generation increased by 19% in March, 12% in April, 17% in May, and 7% in June 2020. The share of fossil-based energy fell by –6.55% in 2020 compared with mean levels, which was further offset by increases of renewable energy. India’s daily fossil-based CO2 emissions fell by –11.6% (–5 to –25.7%) by mid-June 2020 compared with mean levels of 2017–2019 with total change in fossil-based CO2 emission by –139 (–62 to –230) MtCO2, with the largest reduction in the industry (–41%), transport (–28.5%), and power (–21%) followed by the public (–5.4%), and aviation (–4%) sectors. If some levels of lockdown persist until December 2020, both energy consumption and CO2 emissions patterns would be below the 2019 level. The nationwide lockdown has led to a reduction in anthropogenic CO2 emissions and, subsequently, improved air quality and global environment and has also helped in reducing atmospheric CO2 concentrations at the local level but not on the global level. With suitable government policies, switching to a cleaner mode of energy generation other than fossil fuels could be a viable option to minimize CO2 emissions under increasing demand for energy.

scholarly journals Operational Simulation Environment for SCADA Integration of Renewable Resources

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1333 ◽  
Author(s):  
Diego Francisco Larios ◽  
Enrique Personal ◽  
Antonio Parejo ◽  
Sebastián García ◽  
Antonio García ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power Plants ◽  
Wind Farm ◽  
Energy Generation ◽  
Generation Process ◽  
Renewable Power ◽  
Operator Tasks ◽  
Energy Assets ◽  
Renewable Energy Generation

The complexity of power systems is rising mainly due to the expansion of renewable energy generation. Due to the enormous variability and uncertainty associated with these types of resources, they require sophisticated planning tools so that they can be used appropriately. In this sense, several tools for the simulation of renewable energy assets have been proposed. However, they are traditionally focused on the simulation of the generation process, leaving the operation of these systems in the background. Conversely, more expert SCADA operators for the management of renewable power plants are required, but their training is not an easy task. SCADA operation is usually complex, due to the wide set of information available. In this sense, simulation or co-simulation tools can clearly help to reduce the learning curve and improve their skills. Therefore, this paper proposes a useful simulator based on a JavaScript engine that can be easily connected to any renewable SCADAs, making it possible to perform different simulated scenarios for novel operator training, as if it were a real facility. Using this tool, the administrators can easily program those scenarios allowing them to sort out the lack of support found in setting up facilities and training of novel operator tasks. Additionally, different renewable energy generation models that can be implemented in the proposed simulator are described. Later, as a use example of this tool, a study case is also performed. It proposes three different wind farm generation facility models, based on different turbine models: one with the essential generation turbine function obtained from the manufacturer curve, another with an empirical model using monotonic splines, and the last one adding the most important operational states, making it possible to demonstrate the usefulness of the proposed simulation tool.

scholarly journals Combining Wind and Pumped Hydro Energy Storage for Renewable Energy Generation in Ireland

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Alice Coburn ◽  
Eilín Walsh ◽  
Patrick J. Solan ◽  
Kevin P. McDonnell
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Wind Energy ◽  
Power Plants ◽  
Wind Farms ◽  
Energy Generation ◽  
Western Coast ◽  
Hydroelectric Power ◽  
Wind Potential ◽  
Renewable Energy Generation

Ireland has one of the highest wind energy potentials in Europe. The intermittent nature of wind makes this renewable resource impractical as a sole source of energy. Combining wind energy with pumped hydro energy storage (PHES) can overcome this intermittency, consuming energy during low-demand periods and supplying energy for periods of high demand. Currently Ireland has a number of hydroelectric power plants and wind farms of various scales in operation. A feasibility study was conducted to investigate the potential of securing a reliable source of renewable energy by increasing the penetration of hydroelectric power by means of combined wind-PHES developments. The greatest wind potential is experienced along the western coast of Ireland and a number of sites were identified here which satisfied a minimum mean wind speed criterion of 10.5 ms−1. Each site was then further evaluated according to topographical requirements for PHES. All but two of the identified sites are immediately unsuitable due to the presence of areas protected under European legislation; this highlights the nonenergy related obstacles in the path of renewable energy generation in Ireland and suggests that a compromise should be researched which could facilitate both renewable energy generation and species and habitat protection in Europe.

scholarly journals ARTIFICIAL INTELLIGENCEINTERVENTION TO URBAN BUILDING RENEWABLE ENERGY MODELING INTERVENTION FOR ROBUST FLEXIBLE COMMUNITIES

2021 ◽  
Vol 9 (03) ◽  
pp. 314-321
Author(s):  
Sammar Z. Allam
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Power Plants ◽  
Energy Use ◽  
Model Simulation ◽  
Renewable Energy Sources ◽  
Energy Generation ◽  
Building Blocks ◽  
Positive Energy ◽  
Use Pattern

This research coveys a comparative analysis between Urban Building energy model (UBEM) generated by scholar, researchers, and professional in academia and industry while highlighting the reliable main components to manifest a successful and reliable UBEM technologies. Nevertheless, it consolidates distributed generation on building blocks rather than a whole district relying on renewable energy sources. It guides engineers through energy system model simulation on Openmodelica platform to feed green sustained communities. Moreover, energy use-pattern is mapped and analyzed by internet of things (IOT) technologies to fine-tune energy uses and refine use-pattern. Demonstrating artificial Intelligence (AI) algorithmto predict energy consumption can reflect on the amount of energy required for storage to cover energy needs. AI shapes a robust positive energy district (PED) through storinggenerated renewable solar or bio-energy to cover predicted energy use-pattern.Distributed -power-plant stations capacity to cover clusters using AI in predicting energy consumption consolidates on-site energy generation recommended by multiple International rating systems. AI-based Energy management plan guide engineers and planners to design distributed-power-plants of energy generation capacity lies between the actual energy need and a predicted scenario.

scholarly journals The Impact of Renewable Energy Generation on the Spot Market Price in Germany: Ex-Post Analysis using Boosting Method

2020 ◽  
Vol 41 (01) ◽  
Author(s):  
Alexander Ryota Keeley ◽  
Ken’ichi Matsumoto ◽  
Kenta Tanaka ◽  
Yogi Sugiawan ◽  
Shunsuke Managi
Keyword(s):  
Renewable Energy ◽  
Market Price ◽  
Energy Generation ◽  
Spot Market ◽  
Ex Post ◽  
Boosting Method ◽  
Renewable Energy Generation ◽  
The Impact ◽  
Ex Post Analysis

scholarly journals The Impact of Renewable Energy Generation on the Spot Market Price in Germany: Ex-Post Analysis using Boosting Method

2020 ◽  
Vol 41 (01) ◽  
Author(s):  
Alexander Ryota Keeley ◽  
Ken’ichi Matsumoto ◽  
Kenta Tanaka ◽  
Yogi Sugiawan ◽  
Shunsuke Managi
Keyword(s):  
Renewable Energy ◽  
Market Price ◽  
Energy Generation ◽  
Spot Market ◽  
Ex Post ◽  
Boosting Method ◽  
Renewable Energy Generation ◽  
The Impact ◽  
Ex Post Analysis

scholarly journals The Potential of Hydro Renewable Energy Technology to Electricity Remote Villages in Papua and Maluku Islands, Indonesia

2021 ◽  
Vol 927 (1) ◽  
pp. 012002
Author(s):  
H Sudibyo ◽  
G Pikra ◽  
A Fudholi
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Energy Generation ◽  
Energy Potential ◽  
Hydro Power ◽  
West Papua ◽  
Hydro Power Plants ◽  
Axial Turbines ◽  
Renewable Energy Generation ◽  
Generation Technology

Abstract The islands of Papua and Maluku are eastern Indonesia which consists of remote islands and villages. The Papua Islands consist of 3,749 islands divided into two provinces, namely Papua and West Papua, while the Maluku Islands are 1,735 islands into two provinces of Maluku and North Maluku, the number of inhabited islands in Papua and Maluku around 230 islands and around 100 newly electrified islands. The electrification ratio for Papua is 47.69%, West Papua is 89.94%, Maluku is 87.02% and North Maluku is 88.68%. The electrification ratio is still below the national average. Maluku Islands and Papua Indonesia has abundant renewable energy natural resources, namely hydro potential. The total hydro energy potential of Papua and Maluku is 808 MW. To overcome this shortage of electricity, it is necessary to develop a renewable energy generation system according to the potential of the area, namely hydro power. Energy generation technology that is environmentally friendly, efficient, effective, and reliable can be a solution for electrification in Papua and Maluku. Hydro power plants using vortex turbines, picohydro turbines and axial turbines for permanent magnet generators can be a solution to electrify areas or villages remote in Papua and Maluku.

scholarly journals Day-Ahead Scheduling for Renewable Energy Generation Systems considering Concentrating Solar Power Plants

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xiaojuan Lu ◽  
Leilei Cheng
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power Plants ◽  
Solar Power ◽  
Thermal Power ◽  
Energy Resource ◽  
Energy Generation ◽  
Concentrating Solar Power ◽  
Solar Power Plants ◽  
Renewable Energy Generation

With the advent of the new types of electrical systems that attach more importance to the renewability of the energy resource, issues arising out of the randomness and volatility of the renewable energy resource, such as the safety, reliability, and economic operation of the underlying power generation system, are expected to be challenging. Generally speaking, the power generation company can do a reasonable dispatch of each unit according to weather forecast and load demand information. Focusing on concentrating solar power (CSP) plants (wind power, photovoltaic, battery energy storage, and thermal power plants), this paper proposes a day-ahead scheduling model for renewable energy generation systems. The model also considers demand response and related generator set constraints. The problem is described as a mixed-integer nonlinear programming (MINLP) problem, which can be solved by the CPLEX solver to obtain an optimal solution. At the same time, the paper compares and analyzes the impact of concentrating solar power plants on other renewable energy generation and thermal power operation systems. The results show that the renewable energy generation system can lower power generation costs, reduce load fluctuation, and enhance the energy storage rate.

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