scholarly journals Modelling flood reservoir integrated with pumped hydropower storage for electricity production using HOMER

2018 ◽  
Vol 225 ◽  
pp. 05021
Author(s):  
Aishah Safi ◽  
Shahrani Anuar ◽  
Daing Mohd Nafiz ◽  
Firdaus Basrawi ◽  
Mohd Nazani ◽  
...  
Keyword(s):  
Environmental Effect ◽  
Model System ◽  
Hybrid Optimization ◽  
Electricity Production ◽  
Lower Reservoir ◽  
Cost Of Energy ◽  
High Emission ◽  
Hybrid Optimization Model ◽  
Water Catchment

This paper presented the potential of flood reservoir integrated with pumped hydropower storage for electricity production in Pekan, Malaysia. Based on the procedure in T echnical Release 55 (T R- 55), the volume of the reservoir to attenuat e flood was 5.2 million3. The volume estimated will be the size of the lower reservoir of proposed PHS and act as flood water catchment during flood seasons. The system proposed an integration of PHS with wind turbines and connect it to the grid. The Hybrid Optimization Model for Electric Renewable (HOMER) software was used to model system for electricity production. The software has simulated 200 different configurations of systems which included the diesel-only system and hybrid wind/diesel system. The standalone diesel system could produce about 25,041,824 kWh of electricity per year and emits 30,030,457 kg/year of pollutants into the atmosphere. Meanwhile, the hybrid wind/diesel could produce 25,668,980 kWh/year of electricity and emits 29,293,174 kg/year of total pollutants into the air. Although, the standalone diesel has the lowest cost of energy among all configurations which is RM 0.852/kWh, but it releases the most amount of carbon dioxide. The high emission of this gasses can have many environmental effect s in a long term.

scholarly journals Economic Analysis and Optimization of Micro Grid considering Incentive Oriented Demand Response Programme

2019 ◽  
Vol 8 (4) ◽  
pp. 3716-3721
Keyword(s):  
Demand Response ◽  
Optimization Model ◽  
Return On Investment ◽  
Net Present Value ◽  
Hybrid Optimization ◽  
Present Value ◽  
Levelized Cost ◽  
Cost Of Energy ◽  
Micro Grid ◽  
Hybrid Optimization Model

In this paper, Economic Analysis and Optimization of Micro Grid (MG) considering Incentive oriented Demand Response Programme (DRP) is proposed. To minimize levelized cost of energy, net present value and to maximize return on investment, incentive oriented Demand Response Programme is implemented using Hybrid optimization model of electric renewables (HOMER). Assessment of this work targets end users having installed net energy meters/smart meters with flat rate. This DRP also encourage end users to reduce their peak load. Simulations are carried by Hybrid optimization model of electric renewables. Results show that MG with incentive oriented DRP can be utilized for optimizing the bidding, utility savings to minimize levelized cost of energy, net present value and maximize Return on Investment(ROI).

scholarly journals Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4597
Author(s):  
Zi-Xuan Yu ◽  
Meng-Shi Li ◽  
Yi-Peng Xu ◽  
Sheraz Aslam ◽  
Yuan-Kang Li
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Positive Impact ◽  
Environmental Aspects ◽  
Component Size ◽  
Cost Of Energy ◽  
Four Seasons ◽  
Demand Response Program ◽  
Real Time Pricing

The optimal planning of grid-connected microgrids (MGs) has been extensively studied in recent years. While most of the previous studies have used fixed or time-of-use (TOU) prices for the optimal sizing of MGs, this work introduces real-time pricing (RTP) for implementing a demand response (DR) program according to the national grid prices of Iran. In addition to the long-term planning of MG, the day-ahead operation of MG is also analyzed to get a better understanding of the DR program for daily electricity dispatch. For this purpose, four different days corresponding to the four seasons are selected for further analysis. In addition, various impacts of the proposed DR program on the MG planning results, including sizing and best configuration, net present cost (NPC) and cost of energy (COE), and emission generation by the utility grid, are investigated. The optimization results show that the implementation of the DR program has a positive impact on the technical, economic, and environmental aspects of MG. The NPC and COE are reduced by about USD 3700 and USD 0.0025/kWh, respectively. The component size is also reduced, resulting in a reduction in the initial cost. Carbon emissions are also reduced by 185 kg/year.

scholarly journals Accessibility and Sustainability of Hybrid Energy Systems for a Cement Factory in Oman

2020 ◽  
Vol 13 (1) ◽  
pp. 93
Author(s):  
Wesam H. Beitelmal ◽  
Paul C. Okonkwo ◽  
Fadhil Al Housni ◽  
Wael Alruqi ◽  
Omar Alruwaythi
Keyword(s):  
Functional Limitations ◽  
Energy Systems ◽  
Energy System ◽  
Electricity Production ◽  
Diesel Generator ◽  
Hybrid Energy ◽  
Electric System ◽  
Cement Factory ◽  
Hybrid Energy Systems ◽  
Cost Of Energy

Diesel generators are being used as a source of electricity in different parts of the world. Because of the significant expense in diesels cost and the requirement for a greener domain, such electric generating systems appear not to be efficient and environmentally friendly and should be tended to. This paper explores the attainability of utilizing a sustainable power source based on a cross-breed electric system in the cement factory in Salalah, Oman. The HOMER software that breaks down the system setup was utilized to examine the application and functional limitations of each hybridized plan. The result showed that a renewable-energy (RE)-based system has a lower cost of energy (COE) and net present cost (NPC) compared to diesel generator-based hybrid electric and standalone systems. Although the two pure renewable hybrid energy systems considered in this study displayed evidence of no emissions, lower NPC and COE values are observed in the photovoltaic/battery (PV/B) hybrid energy system compared with photovoltaic/wind turbine/battery (PV/WT/B). The PV/WT/B and PV/B systems have higher electricity production and low NPC and COE values. Moreover, the PV/B has the highest return on investment (ROI) and internal rate of return (IRR), making the system the most economically viable and adjudged to be a better candidate for rural community electrification demands.

scholarly journals The Long-term Cost of Energy Generation

2020 ◽  
Author(s):  
Jimmy Horn ◽  
Yutong Wu ◽  
Ali Khodabakhsh ◽  
Evdokia Nikolova ◽  
Emmanouil Pountourakis
Keyword(s):  
Energy Generation ◽  
Cost Of Energy

Foundations for a Low-Carbon Energy System in China

2021 ◽  
Author(s):  
Henry Lee ◽  
Daniel P. Schrag ◽  
Matthew Bunn ◽  
Michael Davidson ◽  
Wei Peng ◽  
...  
Keyword(s):  
Fossil Fuels ◽  
Energy System ◽  
Electricity Sector ◽  
Electricity Production ◽  
Low Carbon ◽  
Electricity Pricing ◽  
Energy Policies ◽  
Near Term ◽  
Low Carbon Energy

Climate change is a key problem of the 21st century. China, as the largest emitter of greenhouse gases, has committed to stabilize its current emissions and dramatically increase the share of electricity production from non-fossil fuels by 2030. However, this is only a first step: in the longer term, China needs to aggressively strive to reach a goal of zero-emissions. Through detailed discussions of electricity pricing, electric vehicle policies, nuclear energy policies, and renewable energy policies, this book reviews how near-term climate and energy policies can affect long-term decarbonization pathways beyond 2030, building the foundations for decarbonization in advance of its realization. Focusing primarily on the electricity sector in China - the main battleground for decarbonization over the next century – it provides a valuable resource for researchers and policymakers, as well as energy and climate experts.

scholarly journals An Optimization Model Based on Electric Power Generation in Steel Industry

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Jing-yu Liu ◽  
Jiu-ju Cai
Keyword(s):  
Power Generation ◽  
Electric Power ◽  
Optimization Model ◽  
Steel Industry ◽  
Optimal Allocation ◽  
Mathematical Optimization ◽  
Production Equipment ◽  
Electricity Production ◽  
Cost Of Energy ◽  
Save Energy

Electric power is an important energy in steel industry. Electricity accounts for roughly 20% to 30% of the gross energy consumption and costs about 10% of the gross cost of energy. In this paper, under the premise of ensuring the stability of energy supply and the normal production safety, the mathematical programming method and the dynamic mathematical optimization model were used to set up the surplus gas in the optimal allocation among the buffer users and steam production dispatching for the production equipment. The application of this optimization model can effectively improve the energy efficiency and the accuracy of power generation, making full use of secondary energy and residual heat. It also can realize the rationalization of the electricity production structure optimization which can effectively reduce the flare of the gas and steam on one hand, and save energy and decrease production cost on the other.

An Examination of Follow-up Services Received by Vulnerable Burn Populations: A Burn Model System National Database Study

2019 ◽  
Vol 41 (2) ◽  
pp. 377-383
Author(s):  
Lynne Benavides ◽  
Vivian Shie ◽  
Brennan Yee ◽  
Miranda Yelvington ◽  
Laura C Simko ◽  
...  
Keyword(s):  
Vulnerable Populations ◽  
Long Term Care ◽  
Model System ◽  
Psychological Therapy ◽  
Psychological Services ◽  
National Database ◽  
Vulnerable Group ◽  
Term Care

Abstract While disparities in healthcare outcomes and services for vulnerable populations have been documented, the extent to which vulnerable burn populations demonstrate disparities in long-term care is relatively underexplored. This study’s goal was to assess for differences in long-term occupational or physical therapy (OT/PT) and psychological service use after burn injury in vulnerable populations. Data from the Burn Model System National Database (2006–2015) were analyzed. The vulnerable group included participants in one or more of these categories: 65 years of age or older, nonwhite, no insurance or Medicaid insurance, preinjury receipt of psychological therapy or counseling, preinjury alcohol and/or drug misuse, or with a preexisting disability. Primary outcomes investigated were receipt of OT/PT and psychological services. Secondary outcomes included nine OT/PT subcategories. Outcomes were examined at 6, 12, and 24 months postinjury. One thousand one hundred thirty-six burn survivors (692 vulnerable; 444 nonvulnerable) were included. The vulnerable group was mostly female, unemployed at time of injury, and with smaller burns. Both groups received similar OT/PT and psychological services at all time points. Adjusted regression analyses found that while the groups received similar amounts services, some vulnerable subgroups received significantly more services. Participants 65 years of age or older, who received psychological therapy or counseling prior to injury, and with a preexisting disability received more OT/PT and psychological or peer support services at follow-up. Overall, vulnerable and nonvulnerable groups received comparable OT/PT and psychological services. The importance of long-term care among vulnerable subgroups of the burn population is highlighted by this study. Future work is needed to determine adequate levels of follow-up services.

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