The Experts below are selected from a list of 19593 Experts worldwide ranked by ideXlab platform

Thijs Broes - One of the best experts on this subject based on the ideXlab platform.

  • the dimensioning of pv battery systems depending on the incentive and selling price conditions
    Applied Energy, 2013
    Co-Authors: Grietus Mulder, Bert Claessens, Thijs Broes
    Abstract:

    Electric energy storage is probably the first viable for households since they pay the highest electricity tariffs, being a factor four higher than bulk electricity prices. The attractiveness depends on the subsidy systems (if existing), the electricity price and the purchase cost of a PV installation and a battery system. Since the electricity price may not remain constant during the lifetime of the storage system, a financial cash flow calculation is needed including discount Rate and Inflation. In this research the optimal PV-battery system is determined as a function of the remuneration (discerning a subsidised region, a “market” price region and no fees at all), the investment year (2012, 2017 and 2021) and the electricity price increase Rate (0%, 4%, 6%) (including the General Inflation Rate). The analysis is based on available battery energy storage systems on the market and on real household measurement data. All these degrees of freedom secure the accuracy of the analysis. The article shows also the battery throughput cost with a direct comparison to the electricity cost.

Grietus Mulder - One of the best experts on this subject based on the ideXlab platform.

  • the dimensioning of pv battery systems depending on the incentive and selling price conditions
    Applied Energy, 2013
    Co-Authors: Grietus Mulder, Bert Claessens, Thijs Broes
    Abstract:

    Electric energy storage is probably the first viable for households since they pay the highest electricity tariffs, being a factor four higher than bulk electricity prices. The attractiveness depends on the subsidy systems (if existing), the electricity price and the purchase cost of a PV installation and a battery system. Since the electricity price may not remain constant during the lifetime of the storage system, a financial cash flow calculation is needed including discount Rate and Inflation. In this research the optimal PV-battery system is determined as a function of the remuneration (discerning a subsidised region, a “market” price region and no fees at all), the investment year (2012, 2017 and 2021) and the electricity price increase Rate (0%, 4%, 6%) (including the General Inflation Rate). The analysis is based on available battery energy storage systems on the market and on real household measurement data. All these degrees of freedom secure the accuracy of the analysis. The article shows also the battery throughput cost with a direct comparison to the electricity cost.

Bert Claessens - One of the best experts on this subject based on the ideXlab platform.

  • the dimensioning of pv battery systems depending on the incentive and selling price conditions
    Applied Energy, 2013
    Co-Authors: Grietus Mulder, Bert Claessens, Thijs Broes
    Abstract:

    Electric energy storage is probably the first viable for households since they pay the highest electricity tariffs, being a factor four higher than bulk electricity prices. The attractiveness depends on the subsidy systems (if existing), the electricity price and the purchase cost of a PV installation and a battery system. Since the electricity price may not remain constant during the lifetime of the storage system, a financial cash flow calculation is needed including discount Rate and Inflation. In this research the optimal PV-battery system is determined as a function of the remuneration (discerning a subsidised region, a “market” price region and no fees at all), the investment year (2012, 2017 and 2021) and the electricity price increase Rate (0%, 4%, 6%) (including the General Inflation Rate). The analysis is based on available battery energy storage systems on the market and on real household measurement data. All these degrees of freedom secure the accuracy of the analysis. The article shows also the battery throughput cost with a direct comparison to the electricity cost.

Hayimro Edmealem - One of the best experts on this subject based on the ideXlab platform.

  • Generalized Autoregressive Conditional Heteroskedastic Model to Examine Silver Price Volatility and Its Macroeconomic Determinant in Ethiopia Market
    'Hindawi Limited', 2020
    Co-Authors: Amare Wubishet Ayele, Emmanuel Gabreyohannes, Hayimro Edmealem
    Abstract:

    Like most commodities, the price of silver is driven by supply and demand speculation, which makes the price of silver notoriously volatile due to the smaller market, lower market liquidity, and fluctuations in demand between industrial and store value use. The concern of this article was to model and forecast the silver price volatility dynamics on the Ethiopian market using GARCH family models using data from January 1998 to January 2014. The price return series of silver shows the characteristics of financial time series such as leptokurtic distributions and thus can suitably be modeled using GARCH family models. An empirical investigation was conducted to model price volatility using GARCH family models. Among the GARCH family models considered in this study, ARMA (1, 3)-EGARCH (3, 2) model with the normal distributional assumption of residuals was found to be a better fit for price volatility of silver. Among the exogenous variables considered in this study, saving interest Rate and General Inflation Rate have a statistically significant effect on monthly silver price volatility. In the EGARCH (3, 2) volatility model, the asymmetric term was found to be positive and significant. This is an indication that the unanticipated price increase had a greater impact on price volatility than the unanticipated price decrease in silver. Then, concerned stockholders such as portfolio managers, planners, bankers, and investors should intervene and pay due attention to these factors in the formulation of financial and related market policy

Amare Wubishet Ayele - One of the best experts on this subject based on the ideXlab platform.

  • Generalized Autoregressive Conditional Heteroskedastic Model to Examine Silver Price Volatility and Its Macroeconomic Determinant in Ethiopia Market
    'Hindawi Limited', 2020
    Co-Authors: Amare Wubishet Ayele, Emmanuel Gabreyohannes, Hayimro Edmealem
    Abstract:

    Like most commodities, the price of silver is driven by supply and demand speculation, which makes the price of silver notoriously volatile due to the smaller market, lower market liquidity, and fluctuations in demand between industrial and store value use. The concern of this article was to model and forecast the silver price volatility dynamics on the Ethiopian market using GARCH family models using data from January 1998 to January 2014. The price return series of silver shows the characteristics of financial time series such as leptokurtic distributions and thus can suitably be modeled using GARCH family models. An empirical investigation was conducted to model price volatility using GARCH family models. Among the GARCH family models considered in this study, ARMA (1, 3)-EGARCH (3, 2) model with the normal distributional assumption of residuals was found to be a better fit for price volatility of silver. Among the exogenous variables considered in this study, saving interest Rate and General Inflation Rate have a statistically significant effect on monthly silver price volatility. In the EGARCH (3, 2) volatility model, the asymmetric term was found to be positive and significant. This is an indication that the unanticipated price increase had a greater impact on price volatility than the unanticipated price decrease in silver. Then, concerned stockholders such as portfolio managers, planners, bankers, and investors should intervene and pay due attention to these factors in the formulation of financial and related market policy