The Experts below are selected from a list of 29319 Experts worldwide ranked by ideXlab platform
Kody M Powell - One of the best experts on this subject based on the ideXlab platform.
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Techno-economic analysis of the impact of dynamic electricity prices on solar penetration in a smart grid environment with distributed energy storage
Applied Energy, 2021Co-Authors: Moataz N Sheha, Kasra Mohammadi, Kody M PowellAbstract:Abstract This study investigates the technical and economic feasibility of using high levels of solar energy penetration up to 400 MW into a smart grid system of 60,000 smart houses. A novel non-cooperative Stackelberg game is introduced that incorporates the profitability of the supply-side and helps in solving problems related to overgeneration and photovoltaic curtailment. The non-cooperative game is intended to find the optimal dynamic prices that would leverage distributed storage through the demand-side to stabilize the power grid operation. Ten cases are studied with five photovoltaic plant sizes and two battery designs. A novel quantitative analysis of high levels of solar penetration as a percentage of the total electricity demand is introduced to evaluate the technical feasibility of the studied cases. To evaluate the economic viability of the proposed smart grid system, four metrics were used: the levelized cost of energy, the levelized cost of storage, the Payback Period, and the net present value. Two out of ten studied cases were concluded to be the most promising cases, one with a solar photovoltaic plant size of 200 MW and the other with 300 MW. The case with 300 MW solar plant is preferred as it paves the way for more solar energy deployment with a solar penetration percentage up to 67.78%. This case had a Payback Period of 10.72 years and a net present value of $51.44 M for the solar plant and a Payback Period of 12.06 years and a net present value of $40.75 M for the demand-side.
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solving the duck curve in a smart grid environment using a non cooperative game theory and dynamic pricing profiles
Energy Conversion and Management, 2020Co-Authors: Moataz N Sheha, Kasra Mohammadi, Kody M PowellAbstract:Abstract With the intermittency that comes with electricity generation from renewables, utilizing dynamic pricing will encourage the demand-side to respond in a smart way that would minimize the electricity costs and flatten the net electricity demand curve. Determining the optimal dynamic pricing profile that would leverage distributed storage to flatten the curve is a novel idea that needs to be studied. Moreover, the economic feasibility of utilizing distributed electrical energy storage is still not given in the literature. Therefore, in this paper, a novel way of solving a citywide dynamic model using a bilevel programming algorithm is introduced. The problem is developed as a novel non-cooperative Stackelberg game that utilizes air-conditioning systems and electrical storage through the end-users to determine the optimal dynamic pricing profile. The results show that the combined effect of utilizing demand-side air-conditioning systems and distributed storage together can flatten the curve while employing the optimal dynamic pricing profile. An economic study is performed to determine the economic feasibility of 20 different cases with different battery designs and the level of solar penetration. Three metrics were used to evaluate the economic performance of each case: the levelized cost of storage, the levelized cost of energy, and the simple Payback Period. Most cases had levelized cost of storage values lower than 0.457 $/kWh, which is the lower bound available in the literature. Seven out of 16 cases have a simple Payback Period shorter than the lifetime of the system (25 years). The case with a 100 MW PV power plant and a battery storage of size 597 MWh, was found to be the most promising case with a simple Payback Period of 12.71 years for the photovoltaic plant and 19.86 years for the demand-side investments.
Soepranianondo Koesnoto - One of the best experts on this subject based on the ideXlab platform.
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PENGGUNAAN PROBIOTIK KOMBINASI lactococcus lactis DAN L actobacillus acidophilus SEBAGAI PENGGANTI ANTIBIOTIKA PADA AYAM PETELUR YANG DIINFEKSI E scherichia coli TERHADAP ANALISIS USAHA
'Unitri Press', 2019Co-Authors: Wardhani, Hana Cipka Pramuda, Lokapirnasari, Widya Paramita, Soepranianondo KoesnotoAbstract:Escherichia coli is a normal flora in the digestive system of laying hens that are non-pathogenic, which can change into pathogens and cause the egg production to decrease. So the combination of Lactococcus lactis and Lactobacillus acidophilus probiotics is expected to be able to overcome E. coli and become a substitute for the antibiotics (Virginiamycin) in animal feed. This study aims to determine business analysis including Break Event Points (BEP), Revenue Cost Ratio (R / C Ratio), Payback Period (PP) and Return On Investment (ROI). The best results obtained for the calculation of Break Event Point (BEP) on a0b2 treatment with a BEP of Rp. 17,587,24 with BEP production on a1b2 of 14,36 kg, Revenue Cost Ratio (R / C Ratio) generates a value of 1,543 for treatment a0b2, Payback Period (PP) generates a value of 1 year 3 months 9 days and Return On Investment (ROI) generates a value of 3. It was concluded that the a0b2 treatment had good results to be developed
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PENGGUNAAN PROBIOTIK KOMBINASI Lactococcus lactis DAN Lactobacillus acidophilus SEBAGAI PENGGANTI ANTIBIOTIKA PADA AYAM PETELUR YANG DIINFEKSI Escherichia coli TERHADAP ANALISIS USAHA
'Universitas Galuh Ciamis', 2019Co-Authors: Wardhani, Hana Cipka Pramuda, Lokapirnasari, Widya Paramita, Soepranianondo KoesnotoAbstract:Escherichia coli is a normal flora in the digestive system of laying hens that are non-pathogenic, which can change into pathogens and cause the egg production to decrease. So the combination of Lactococcus lactis and Lactobacillus acidophilus probiotics is expected to be able to overcome E. coli and become a substitute for the antibiotics (Virginiamycin) in animal feed. This study aims to determine business analysis including Break Event Points (BEP), Revenue Cost Ratio (R / C Ratio), Payback Period (PP) and Return On Investment (ROI). The best results obtained for the calculation of Break Event Point (BEP) on a0b2 treatment with a BEP of Rp. 17,587,24 with BEP production on a1b2 of 14,36 kg, Revenue Cost Ratio (R / C Ratio) generates a value of 1,543 for treatment a0b2, Payback Period (PP) generates a value of 1 year 3 months 9 days and Return On Investment (ROI) generates a value of 3. It was concluded that the a0b2 treatment had good results to be developed
Sadegh Sadeghi - One of the best experts on this subject based on the ideXlab platform.
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a novel economic analysis and multi objective optimization of a 200 kw recuperated micro gas turbine considering cycle thermal efficiency and discounted Payback Period
Applied Thermal Engineering, 2020Co-Authors: Peyman Maghsoudi, Sadegh SadeghiAbstract:Abstract One pivotal way of boosting efficiency and reducing overall cost of micro-gas turbines, utilized in residential buildings, is to generate energy from waste heat. In this study, a novel multi-objective optimization is performed to maximize the thermal efficiency of a 200-kW micro-gas turbine and minimize the discounted Payback Period of the system equipped by plate-fin recuperator using NSGA-II. An elaborate sensitivity analysis is presented to show the impacts of geometrical design variables on cycle thermal efficiency and annual cost. To conduct a detailed economic analysis, main consumed costs (total capital investment, operational and maintenance costs), and profits (due to electricity production, and reductions of fuel consumption, CO2 emissions and exergy destruction), are considered. Total capital investment consists of fixed-capital investment (direct costs, including onsite and off-site costs, and indirect costs) and other outlays. Optimization results are displayed by a set of designs called Pareto-optimal front. Based on the optimization results, cycle thermal efficiency and discounted Payback Period of the best optimal design are equal to 29.8% and 1.4 year, respectively. For this case, average share of profits related to fuel consumption, exergy, electricity and environment over 20 years of operation are equal to 49.55%, 48.07%, 2.33% and 0.05%, respectively.
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a multi factor methodology for evaluation and optimization of plate fin recuperators for micro gas turbine applications considering Payback Period as universal objective function
International Journal of Numerical Methods for Heat & Fluid Flow, 2019Co-Authors: Peyman Maghsoudi, Sadegh Sadeghi, Qingang Xiong, Saiied M. AminossadatiAbstract:Purpose: Because of the appreciable application of heat recovery systems for the increment of overall efficiency of micro gas turbines, promising evaluation and optimization are crucial. This paper aims to propose a multi-factor theoretical methodology for analysis, optimization and comparison of potential plate-fin recuperators incorporated into micro gas turbines. Energetic, exergetic, economic and environmental factors are covered. Design/methodology/approach: To demonstrate applicability and reliability of the methodology, detailed thermo-hydraulic analysis, sensitivity analysis and optimization are conducted on the recuperators with louver and offset-strip fins using a genetic algorithm. To assess the relationship between investment cost and profit for the recuperated systems, Payback Period (PBP), which incorporates all the factors is used as the universal objective function. To compare the performance of the recuperated and non-recuperated systems, exergy efficiency, exergy destruction and corresponding cost rate, fuel consumption and environmental damage cost rates, capital and operational cost rates and acquired profit rates are determined. Findings: Based on the results, optimal PBP of the louvered-fin recuperator (147 days) is slightly lower than that with offset-strip fins (153 days). The highest profit rate is acquired by reduction of exergy destruction cost rate and corresponding decrements for louver and offset-strip fins are 2.3 and 3.9 times compared to simple cycle, respectively. Originality/value: This mathematical study, for the first time, focuses on introducing a reliable methodology, which covers energetic, exergetic, economic and environmental points of view beneficial for design and selection of efficient plate-fin recuperators for micro gas turbine applications.
Moataz N Sheha - One of the best experts on this subject based on the ideXlab platform.
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Techno-economic analysis of the impact of dynamic electricity prices on solar penetration in a smart grid environment with distributed energy storage
Applied Energy, 2021Co-Authors: Moataz N Sheha, Kasra Mohammadi, Kody M PowellAbstract:Abstract This study investigates the technical and economic feasibility of using high levels of solar energy penetration up to 400 MW into a smart grid system of 60,000 smart houses. A novel non-cooperative Stackelberg game is introduced that incorporates the profitability of the supply-side and helps in solving problems related to overgeneration and photovoltaic curtailment. The non-cooperative game is intended to find the optimal dynamic prices that would leverage distributed storage through the demand-side to stabilize the power grid operation. Ten cases are studied with five photovoltaic plant sizes and two battery designs. A novel quantitative analysis of high levels of solar penetration as a percentage of the total electricity demand is introduced to evaluate the technical feasibility of the studied cases. To evaluate the economic viability of the proposed smart grid system, four metrics were used: the levelized cost of energy, the levelized cost of storage, the Payback Period, and the net present value. Two out of ten studied cases were concluded to be the most promising cases, one with a solar photovoltaic plant size of 200 MW and the other with 300 MW. The case with 300 MW solar plant is preferred as it paves the way for more solar energy deployment with a solar penetration percentage up to 67.78%. This case had a Payback Period of 10.72 years and a net present value of $51.44 M for the solar plant and a Payback Period of 12.06 years and a net present value of $40.75 M for the demand-side.
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solving the duck curve in a smart grid environment using a non cooperative game theory and dynamic pricing profiles
Energy Conversion and Management, 2020Co-Authors: Moataz N Sheha, Kasra Mohammadi, Kody M PowellAbstract:Abstract With the intermittency that comes with electricity generation from renewables, utilizing dynamic pricing will encourage the demand-side to respond in a smart way that would minimize the electricity costs and flatten the net electricity demand curve. Determining the optimal dynamic pricing profile that would leverage distributed storage to flatten the curve is a novel idea that needs to be studied. Moreover, the economic feasibility of utilizing distributed electrical energy storage is still not given in the literature. Therefore, in this paper, a novel way of solving a citywide dynamic model using a bilevel programming algorithm is introduced. The problem is developed as a novel non-cooperative Stackelberg game that utilizes air-conditioning systems and electrical storage through the end-users to determine the optimal dynamic pricing profile. The results show that the combined effect of utilizing demand-side air-conditioning systems and distributed storage together can flatten the curve while employing the optimal dynamic pricing profile. An economic study is performed to determine the economic feasibility of 20 different cases with different battery designs and the level of solar penetration. Three metrics were used to evaluate the economic performance of each case: the levelized cost of storage, the levelized cost of energy, and the simple Payback Period. Most cases had levelized cost of storage values lower than 0.457 $/kWh, which is the lower bound available in the literature. Seven out of 16 cases have a simple Payback Period shorter than the lifetime of the system (25 years). The case with a 100 MW PV power plant and a battery storage of size 597 MWh, was found to be the most promising case with a simple Payback Period of 12.71 years for the photovoltaic plant and 19.86 years for the demand-side investments.
Naouel Daouas - One of the best experts on this subject based on the ideXlab platform.
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impact of external longwave radiation on optimum insulation thickness in tunisian building roofs based on a dynamic analytical model
Applied Energy, 2016Co-Authors: Naouel DaouasAbstract:In Tunisia, the building sector is considered as a major issue of energy consumption. A special attention should be drawn to improve the thermal quality of the building envelope with real consideration of the Tunisian climate specificity. One of the most effective measures is the roof insulation. Therefore, the present study is concerned with the determination of the optimum insulation thickness and the resulting energy savings and Payback Period for two typical roof structures and two types of insulation materials. An efficient analytical dynamic model based on the Complex Finite Fourier Transform (CFFT) is proposed and validated in order to handle the nonlinear longwave radiation (LWR) exchange with the sky. This model provides a short computational time solution of the transient heat transfer through multilayer roofs, which could be a good alternative to some numerical methods. Both heating and cooling annual loads are rigorously estimated and used as inputs to a life-cycle cost analysis. Among the studied cases, the most economical one is the hollow terracotta-based roof insulated with rock wool, where the optimum insulation thickness is estimated to be 7.9cm, with a Payback Period of 6.06years and energy savings up to 58.06% of the cost of energy consumed without insulation. The impact of the LWR exchange component is quantified and the results show its important effect on the annual transmission loads and, consequently, on optimum insulation thickness. A sensitivity analysis shows the efficiency of cool roofs in the Tunisian climate context, where the cooling energy cost benefits outweigh the wintertime penalty. Comparison of CFFT results with those of sol–air Degree-Hours (DH) shows that optimum insulation thickness and energy savings are overestimated and Payback Period is underestimated using the latter model. The proposed CFFT model could be an efficient tool for the design and the energy analysis of building envelope components in various climatic locations.
