scholarly journals Design of Clean Steel Production with Hydrogen: Impact of Electricity System Composition

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8349
Author(s):  
Alla Toktarova ◽  
Lisa Göransson ◽  
Filip Johnsson
Keyword(s):  
Cost Minimization ◽  
Direct Reduction ◽  
Steel Production ◽  
Optimal Operation ◽  
Electricity Price ◽  
Solar Pv ◽  
Electricity System ◽  
Cost Efficient ◽  
The Cost ◽  
Hot Briquetted Iron

In Europe, electrification is considered a key option to obtain a cleaner production of steel at the same time as the electricity system production portfolio is expected to consist of an increasing share of varying renewable electricity (VRE) generation, mainly in the form of solar PV and wind power. We investigate cost-efficient designs of hydrogen-based steelmaking in electricity systems dominated by VRE. We develop and apply a linear cost-minimization model with an hourly time resolution, which determines cost-optimal operation and sizing of the units in hydrogen-based steelmaking including an electrolyser, direct reduction shaft, electric arc furnace, as well as storage for hydrogen and hot-briquetted iron pellets. We show that the electricity price following steelmaking leads to savings in running costs but to increased capital cost due to investments in the overcapacity of steel production units and storage units for hydrogen and hot-briquetted iron pellets. For two VRE-dominated regions, we show that the electricity price following steel production reduces the total steel production cost by 23% and 17%, respectively, as compared to continuous steel production at a constant level. We also show that the cost-optimal design of the steelmaking process is dependent upon the electricity system mix.

Energy Cost Optimization of HVAC Loads Under Time-Varying Electricity Price Signals

2016 ◽  
Author(s):  
Saeid Bashash
Keyword(s):  
Dynamic Programming ◽  
Cost Function ◽  
Energy Cost ◽  
Optimal Operation ◽  
Electricity Price ◽  
Programming Approach ◽  
Time Varying ◽  
Temperature Deviation ◽  
Price Signals ◽  
The Cost

This paper presents a dynamic programming approach to optimize energy cost of multiple interacting household appliances such as air conditioning systems and refrigerators with temperature flexibility, under time varying electricity price signals. We adopt a first order differential equation model with a binary (ON-OFF) switching control function for each load. An energy cost minimization problem is then formulated with a pair of constraints on the temperature lower and upper bounds, as well as an equality condition on the initial and final temperature states. We use dynamic programming to compute cost-optimal control inputs and temperature trajectories for a given electricity price profile and ambient temperature condition. To account for temperature deviation from its desired setpoint, a quadratic temperature deviation penalty is added to the cost function. Moreover, to minimize the control input chattering for equipment protection, the cost function is expanded to also minimize the number of on-off switching events. Results for the different weighting combinations of the optimization objectives provide useful insights on the optimal operation of individual and multiple interacting HVAC loads. In particular, we observe that the loads are desynchronized under the cost-optimal operation, in the presence of local (renewable) power generation. The presented optimization algorithm and observed results can lead to the development of novel model predictive and rule-based feedback control policies for optimal energy management in households.

scholarly journals Production of Negative-Emissions Steel Using a Reducing Gas Derived from DFB Gasification

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4835
Author(s):  
Sébastien Pissot ◽  
Henrik Thunman ◽  
Peter Samuelsson ◽  
Martin Seemann
Keyword(s):  
Natural Gas ◽  
Cost Estimation ◽  
Direct Reduction ◽  
Steel Production ◽  
Carbon Price ◽  
Basic Oxygen Furnace ◽  
Energetic Efficiency ◽  
Reducing Gas ◽  
Negative Emissions ◽  
The Cost

A dual fluidized bed (DFB) gasification process is proposed to produce sustainable reducing gas for the direct reduction (DR) of iron ore. This novel steelmaking route is compared with the established process for DR, which is based on natural gas, and with the emerging DR technology using electrolysis-generated hydrogen as the reducing gas. The DFB-DR route is found to produce reducing gas that meets the requirement of the DR reactor, based on existing MIDREX plants, and which is produced with an energetic efficiency comparable with the natural gas route. The DFB-DR path is the only route considered that allows negative CO2 emissions, enabling a 145% decrease in emissions relative to the traditional blast furnace–basic oxygen furnace (BF–BOF) route. A reducing gas cost between 45–60 EUR/MWh is obtained, which makes it competitive with the hydrogen route, but not the natural gas route. The cost estimation for liquid steel production shows that, in Sweden, the DFB-DR route cannot compete with the natural gas and BF–BOF routes without a cost associated with carbon emissions and a revenue attributed to negative emissions. When the cost and revenue are set as equal, the DFB-DR route becomes the most competitive for a carbon price >60 EUR/tCO2.

scholarly journals Optimal Operation of Microgrid considering Renewable Energy Sources, Electric Vehicles and Demand Response

2019 ◽  
Vol 87 ◽  
pp. 01007 ◽  
Author(s):  
Surender Reddy Salkuti
Keyword(s):  
Electric Vehicles ◽  
Hybrid System ◽  
Demand Response ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Operating Cost ◽  
Energy Systems ◽  
Optimal Operation ◽  
Solar Pv ◽  
The Cost

This paper proposes a new optimal operation of Microgrids (MGs) in a distribution system with wind energy generators (WEGs), solar photovoltaic (PV) energy systems, battery energy storage (BES) systems, electric vehicles (EVs) and demand response (DR). To reduce the fluctuations of wind, solar PV powers and load demands, the BES systems and DR are utilized in the proposed hybrid system. The detailed modeling of WEGs, solar PV units, load demands, BES systems and EVs has been presented in this paper. The objective considered here is the minimization of total operating cost of microgrid, and it is formulated by considering the cost of power exchange between the main power grid and microgrid, cost of wind and solar PV energy systems, cost of BES systems, EVs and the cost due to the DR in the system. Simulations are performed on a test microgrid, and they are implemented using GAMS software. Various case studies are performed with and without considering the proposed hybrid system.

scholarly journals Driving investments in ore beneficiation and scrap upgrading to meet an increased demand from the direct reduction-EAF route

2021 ◽  
Author(s):  
Rutger Gyllenram ◽  
Niloofar Arzpeyma ◽  
Wenjing Wei ◽  
Pär G. Jönsson
Keyword(s):  
Iron Ore ◽  
Direct Reduction ◽  
Steel Production ◽  
Silica Content ◽  
Basic Oxygen Furnace ◽  
Ore Pellets ◽  
Percentage Points ◽  
Major Transition ◽  
Conservative Estimation ◽  
The Cost

AbstractThe pressure on the steel industry to reduce its carbon footprint has led to discussions to replace coke as the main reductant for iron ore and turn to natural gas, bio-syngas or hydrogen. Such a major transition from the blast furnace-basic oxygen furnace route, to the direct reduction-electric arc furnace route, for steel production would drastically increase the demand for both suitable iron ore pellets and high-quality scrap. The value for an EAF plant to reduce the SiO2 content in DRI by 2 percentage points and the dirt content of scrap by 0.3 percentage points Si was estimated by using the optimization and calculation tool RAWMATMIX®. Three plant types were studied: (i) an integrated plant using internal scrap, (ii) a plant using equal amounts of scrap and DRI and (iii) a plant using a smaller fraction of DRI in relation to the scrap amount. Also, the slag volume for each plant type was studied. Finally, the cost for upgrading was estimated based on using mainly heuristic values. A conservative estimation of the benefit of decreasing the silica content in DRI from 4 to 2% is 20 USD/t DRI or 15 USD/t DR pellets and a conservative figure for the benefit of decreasing the dirt in scrap by 0.3 percentage points Si is 9 USD/t scrap. An estimate on the costs for the necessary ore beneficiation is 2.5 USD/t pellet concentrate and for a scrap upgrade, it is 1-2 USD/t scrap.

scholarly journals Optimal operation management of grid-connected microgrids under uncertainty

2019 ◽  
Vol 16 (3) ◽  
pp. 1163 ◽  
Author(s):  
Surender Reddy Salkuti
Keyword(s):  
Hybrid System ◽  
Distribution System ◽  
Operating Cost ◽  
Energy Systems ◽  
Optimal Operation ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Power Exchange ◽  
Battery Energy ◽  
The Cost

<span>This paper proposes a new optimal operation of Microgrids (MGs) in a distribution system with wind energy generators (WEGs), solar photovoltaic (PV) energy systems, battery energy storage (BES) systems, electric vehicles (EVs) and demand response (DR). To reduce the fluctuations of wind, solar PV powers and load demands, the BES systems and DR are utilized in the proposed hybrid system. The detailed modeling of WEGs, solar PV units, load demands, BES systems and EVs has been presented in this paper. The objective considered here is the minimization of total operating cost of microgrid, and it is formulated by considering the cost of power exchange between the main power grid and microgrid, cost of wind and solar PV energy systems, cost of BES systems, EVs and the cost due to the DR in the system. Simulations are performed on a test microgrid, and they are implemented using GAMS software. Various case studies are performed with and without considering the proposed hybrid system.</span>

Cost Reduction of Raw Materials in a Steel Factory with Implementation of Mix Problem (A Case Study)

2012 ◽  
Vol 433-440 ◽  
pp. 2178-2183
Author(s):  
Hamid Reza Moheghi ◽  
Hamid Mashhadi Moghadam ◽  
Sara Motevali
Keyword(s):  
Raw Materials ◽  
Cost Minimization ◽  
Steel Production ◽  
Optimal Solution ◽  
Raw Material ◽  
Model Parameters ◽  
The Cost ◽  
Production Company ◽  
The Mathematical Model

Material cost decrease is an important issue for industrial factories. Operations Research is considered as a proper means for this purpose. A steel production company as a case study is presented in this paper. The combination of raw material is important in steel production. In the company raw materials are mixed experimentally without attention to cost minimization. After considering the process of steel production, a mix model is determined as a proper model for lowering the cost of production in the company. At first, we study the mix problem. Then, we deal with the quantities of the model parameters as well as a mathematical modeling based on the proper constraints. Finally, the solution to the mathematical model is created by a software .The model solution shows that the proposed optimal solution leads to cost minimization significantly.

scholarly journals Combined solar power and storage as cost-competitive and grid-compatible supply for China’s future carbon-neutral electricity system

2021 ◽  
Vol 118 (42) ◽  
pp. e2103471118
Author(s):  
Xi Lu ◽  
Shi Chen ◽  
Chris P. Nielsen ◽  
Chongyu Zhang ◽  
Jiacong Li ◽  
...  
Keyword(s):  
Solar Power ◽  
Average Power ◽  
Energy Transition ◽  
Energy System ◽  
Solar Pv ◽  
Electricity System ◽  
Technical Potential ◽  
Technical Advances ◽  
The Cost ◽  
And Storage

As the world’s largest CO2 emitter, China’s ability to decarbonize its energy system strongly affects the prospect of achieving the 1.5 °C limit in global, average surface-temperature rise. Understanding technically feasible, cost-competitive, and grid-compatible solar photovoltaic (PV) power potentials spatiotemporally is critical for China’s future energy pathway. This study develops an integrated model to evaluate the spatiotemporal evolution of the technology-economic-grid PV potentials in China during 2020 to 2060 under the assumption of continued cost degression in line with the trends of the past decade. The model considers the spatialized technical constraints, up-to-date economic parameters, and dynamic hourly interactions with the power grid. In contrast to the PV production of 0.26 PWh in 2020, results suggest that China’s technical potential will increase from 99.2 PWh in 2020 to 146.1 PWh in 2060 along with technical advances, and the national average power price could decrease from 4.9 to 0.4 US cents/kWh during the same period. About 78.6% (79.7 PWh) of China’s technical potential will realize price parity to coal-fired power in 2021, with price parity achieved nationwide by 2023. The cost advantage of solar PV allows for coupling with storage to generate cost-competitive and grid-compatible electricity. The combined systems potentially could supply 7.2 PWh of grid-compatible electricity in 2060 to meet 43.2% of the country’s electricity demand at a price below 2.5 US cents/kWh. The findings highlight a crucial energy transition point, not only for China but for other countries, at which combined solar power and storage systems become a cheaper alternative to coal-fired electricity and a more grid-compatible option.

Cost-minimization analysis of drugs used in the treatment of Asthma and COPD diseases in India

2020 ◽  
Vol 15 ◽  
Author(s):  
Billu Payal ◽  
Anoop Kumar ◽  
Harsh Saxena
Keyword(s):  
Generic Drugs ◽  
Cost Minimization ◽  
Cost Savings ◽  
Chronic Obstructive ◽  
Pulmonary Medicine ◽  
Potential Cost ◽  
Maximum Cost ◽  
Cost Minimization Analysis ◽  
Cost Variation ◽  
The Cost

Background: Asthma and Chronic Obstructive Pulmonary Diseases (COPD) are well known respiratory diseases affecting millions of peoples in India. In the market, various branded generics, as well as generic drugs, are available for their treatment and how much cost will be saved by utilizing generic medicine is still unclear among physicians. Thus, the main aim of the current investigation was to perform cost-minimization analysis of generic versus branded generic (high and low expensive) drugs and branded generic (high expensive) versus branded generic (least expensive) used in the Department of Pulmonary Medicine of Era Medical University, Lucknow for the treatment of asthma and COPD. Methodology: The current index of medical stores (CIMS) was referred for the cost of branded drugs whereas the cost of generic drugs was taken from Jan Aushadi scheme of India 2016. The percentage of cost variation particularly to Asthma and COPD regimens on substituting available generic drugs was calculated using standard formula and costs were presented in Indian Rupees (as of 2019). Results: The maximum cost variation was found between the respules budesonide high expensive branded generic versus least expensive branded generic drugs and generic versus high expensive branded generic. In combination, the maximum cost variation was observed in the montelukast and levocetirizine combination. Conclusion: In conclusion, this study inferred that substituting generic antiasthmatics and COPD drugs can bring potential cost savings in patients.

scholarly journals Comparison of LPWAN Technologies: Cost Structure and Scalability

2021 ◽  
Author(s):  
Mohammad Istiak Hossain ◽  
Jan I. Markendahl
Keyword(s):  
Communication Technology ◽  
Service Providers ◽  
Communication Technologies ◽  
Cost Structure ◽  
Small Scale ◽  
Area Network ◽  
Wide Area Network ◽  
Generic Framework ◽  
Cost Efficient ◽  
The Cost

AbstractSmall-scale commercial rollouts of Cellular-IoT (C-IoT) networks have started globally since last year. However, among the plethora of low power wide area network (LPWAN) technologies, the cost-effectiveness of C-IoT is not certain for IoT service providers, small and greenfield operators. Today, there is no known public framework for the feasibility analysis of IoT communication technologies. Hence, this paper first presents a generic framework to assess the cost structure of cellular and non-cellular LPWAN technologies. Then, we applied the framework in eight deployment scenarios to analyze the prospect of LPWAN technologies like Sigfox, LoRaWAN, NB-IoT, LTE-M, and EC-GSM. We consider the inter-technology interference impact on LoRaWAN and Sigfox scalability. Our results validate that a large rollout with a single technology is not cost-efficient. Also, our analysis suggests the rollout possibility of an IoT communication Technology may not be linear to cost-efficiency.

scholarly journals Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1814
Author(s):  
Libo Zhang ◽  
Qian Du ◽  
Dequn Zhou
Keyword(s):  
Power Generation ◽  
Early Stage ◽  
Electricity Price ◽  
Grid Parity ◽  
Industry Environment ◽  
External Conditions ◽  
Generation Costs ◽  
Time Price ◽  
The Cost ◽  
Installed Capacity

The cost of centralized photovoltaic (CPV) power generation has been decreasing rapidly in China. However, the achievement of grid parity is full of uncertainties due to changes in policies and the industry environment. In order to explore the time, price, and external conditions in which grid parity can be achieved, we create the improved grey GM (1, 1) model to estimate the installed capacity over the next 10 years, and apply a learning curve to predict the cost of CPV generation. In the analysis of grid parity, we compare the benchmark price of coal power and the price under the market-oriented mechanism with CPV. The results show that China’s CPV industry will enter the early stage of maturity from 2020 onwards; with the help of benchmark investment, the grid parity of CPV may be achieved in 2022 at the earliest and 2025 at the latest. After 2025, the photovoltaic electricity price will be generally lower than the coal electricity price under marketization. By 2030, CPV power generation costs will reach US $0.05/kWh, the accumulative installed capacity will exceed 370 GW, and the uncertainties will lead to a cumulative installed gap of nearly 100 GW.

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