The Experts below are selected from a list of 1395 Experts worldwide ranked by ideXlab platform

Massimo Filippini - One of the best experts on this subject based on the ideXlab platform.

  • demand side management by electric utilities in switzerland analyzing its impact on residential Electricity demand
    Energy Economics, 2017
    Co-Authors: Nina Boogen, Souvik Datta, Massimo Filippini
    Abstract:

    In this paper, we use panel data from a survey conducted on 30 utilities in Switzerland to estimate the impact of demand-side management (DSM) activity on residential Electricity demand. Using the variation in DSM activity within utilities and across utilities over time we identify the impact of DSM programs and find that their presence reduces per customer residential Electricity consumption by around 5%. If we consider monetary spending, the effect of a 10% increase in DSM spending causes a 0.14% reduction in per customer residential Electricity consumption. The cost of saving a kilowatt hour is around 0.04CHF while the average cost of producing and Distributing Electricity in Switzerland is around 0.18CHF per kilowatt hour. We conclude that current DSM practices in Switzerland have a statistically significant effect on reducing the demand for residential Electricity.

  • Demand-Side Management by Electric Utilities in Switzerland: Analyzing Its Impact on Residential Electricity Demand
    SSRN Electronic Journal, 2016
    Co-Authors: Nina Boogen, Souvik Datta, Massimo Filippini
    Abstract:

    In this paper we use panel data from a survey conducted on 30 Swiss utilities to estimate the Impact of demand-side management (DSM) activities on residential Electricity demand using DSM spending and an energy efficiency score. Using the variation in DSM activities within utilities and across utilities over time we identify the impact of these programs and find that their presence reduce per customer residential Electricity consumption by around 5%. If we consider monetary spending, the effect of a 10% increase in DSM spending causes around a 0.14% reduction in per customer residential Electricity consumption. The cost of saving a kilowatt hour is around CHF 0.04 while the average cost of producing and Distributing Electricity in Switzerland is around CHF 0.18 per kilowatt hour. We conclude that current DSM practices in Switzerland have a statistically significant effect on reducing the demand for residential Electricity.

  • economies of scale and scope in multi utilities
    The Energy Journal, 2008
    Co-Authors: Mehdi Farsi, Aurelio Fetz, Massimo Filippini
    Abstract:

    This paper explores the economies of scale and scope in the Electricity, gas and water utilities. These issues have a crucial importance in the actual policy debates about unbundling the integrated utilities into separate entities, a policy which has often been supported by the ongoing reforms in the deregulation of network industries. This paper argues that the potential improvements in efficiency through unbundling should be assessed against the loss of scope economies. Several econometric specifications including a random-coefficient model are used to estimate a cost function for a sample of utilities Distributing Electricity, gas and/or water to the Swiss population. The estimates of scale and scope economies are compared across different models and the effect of heterogeneity among companies are explored. While indicating considerable scope and scale economies overall, the results suggest a significant variation in scope economies across companies due to unobserved heterogeneity.

Nina Boogen - One of the best experts on this subject based on the ideXlab platform.

  • demand side management by electric utilities in switzerland analyzing its impact on residential Electricity demand
    Energy Economics, 2017
    Co-Authors: Nina Boogen, Souvik Datta, Massimo Filippini
    Abstract:

    In this paper, we use panel data from a survey conducted on 30 utilities in Switzerland to estimate the impact of demand-side management (DSM) activity on residential Electricity demand. Using the variation in DSM activity within utilities and across utilities over time we identify the impact of DSM programs and find that their presence reduces per customer residential Electricity consumption by around 5%. If we consider monetary spending, the effect of a 10% increase in DSM spending causes a 0.14% reduction in per customer residential Electricity consumption. The cost of saving a kilowatt hour is around 0.04CHF while the average cost of producing and Distributing Electricity in Switzerland is around 0.18CHF per kilowatt hour. We conclude that current DSM practices in Switzerland have a statistically significant effect on reducing the demand for residential Electricity.

  • Demand-Side Management by Electric Utilities in Switzerland: Analyzing Its Impact on Residential Electricity Demand
    SSRN Electronic Journal, 2016
    Co-Authors: Nina Boogen, Souvik Datta, Massimo Filippini
    Abstract:

    In this paper we use panel data from a survey conducted on 30 Swiss utilities to estimate the Impact of demand-side management (DSM) activities on residential Electricity demand using DSM spending and an energy efficiency score. Using the variation in DSM activities within utilities and across utilities over time we identify the impact of these programs and find that their presence reduce per customer residential Electricity consumption by around 5%. If we consider monetary spending, the effect of a 10% increase in DSM spending causes around a 0.14% reduction in per customer residential Electricity consumption. The cost of saving a kilowatt hour is around CHF 0.04 while the average cost of producing and Distributing Electricity in Switzerland is around CHF 0.18 per kilowatt hour. We conclude that current DSM practices in Switzerland have a statistically significant effect on reducing the demand for residential Electricity.

Damir Novosel - One of the best experts on this subject based on the ideXlab platform.

  • impact of renewable distributed generation on power systems
    Hawaii International Conference on System Sciences, 2001
    Co-Authors: M Begovic, A Pregelj, A Rohatgi, Damir Novosel
    Abstract:

    The traditional approach in electric power generation is to have centralized plants Distributing Electricity through an extensive transmission & distribution network. Distributed generation (DG) provides electric power at a site closer to the customer, eliminating the unnecessary transmission and distribution costs. In addition, it can reduce fossil fuel emissions, defer capital cost, reduce maintenance investments and improve the distribution feeder voltage conditions. In the case of small residential photovoltaic (PV) and wind systems, the actual generator locations and DG penetration level are usually not apriori known. The following study attempts to calculate the boundaries of the impact of randomly placed distributed generators on a distribution feeder. Monte Carlo simulations are performed, and boundaries for overall improvements are determined. The study shows that the knowledge of total penetration of small PV systems is sufficient to estimate the effects of DG on the feeder.

Souvik Datta - One of the best experts on this subject based on the ideXlab platform.

  • demand side management by electric utilities in switzerland analyzing its impact on residential Electricity demand
    Energy Economics, 2017
    Co-Authors: Nina Boogen, Souvik Datta, Massimo Filippini
    Abstract:

    In this paper, we use panel data from a survey conducted on 30 utilities in Switzerland to estimate the impact of demand-side management (DSM) activity on residential Electricity demand. Using the variation in DSM activity within utilities and across utilities over time we identify the impact of DSM programs and find that their presence reduces per customer residential Electricity consumption by around 5%. If we consider monetary spending, the effect of a 10% increase in DSM spending causes a 0.14% reduction in per customer residential Electricity consumption. The cost of saving a kilowatt hour is around 0.04CHF while the average cost of producing and Distributing Electricity in Switzerland is around 0.18CHF per kilowatt hour. We conclude that current DSM practices in Switzerland have a statistically significant effect on reducing the demand for residential Electricity.

  • Demand-Side Management by Electric Utilities in Switzerland: Analyzing Its Impact on Residential Electricity Demand
    SSRN Electronic Journal, 2016
    Co-Authors: Nina Boogen, Souvik Datta, Massimo Filippini
    Abstract:

    In this paper we use panel data from a survey conducted on 30 Swiss utilities to estimate the Impact of demand-side management (DSM) activities on residential Electricity demand using DSM spending and an energy efficiency score. Using the variation in DSM activities within utilities and across utilities over time we identify the impact of these programs and find that their presence reduce per customer residential Electricity consumption by around 5%. If we consider monetary spending, the effect of a 10% increase in DSM spending causes around a 0.14% reduction in per customer residential Electricity consumption. The cost of saving a kilowatt hour is around CHF 0.04 while the average cost of producing and Distributing Electricity in Switzerland is around CHF 0.18 per kilowatt hour. We conclude that current DSM practices in Switzerland have a statistically significant effect on reducing the demand for residential Electricity.

Mousa Marzband - One of the best experts on this subject based on the ideXlab platform.

  • optimal energy management for stand alone microgrids based on multi period imperialist competition algorithm considering uncertainties experimental validation
    International Transactions on Electrical Energy Systems, 2016
    Co-Authors: Mousa Marzband, Narges Parhizi, Jafar Adabi
    Abstract:

    Summary Microgrid (MG) constitutes non-dispatchable resources and responsive loads, which can serve as a basic tool to reach desired objectives while Distributing Electricity more effectively, economically, and securely. However, high penetration of distributed generations into the grid leads to fundamental and critical challenges to ensure a reliable power system operation. This paper presents a general formulation of optimum operation strategy with the objective of cost optimization plan and demand response regulation. MG energy management problem can be formulated as an optimization problem in order to minimize the cost-related to generation resources and responsive loads. An expert heuristic approach based on multi-period imperialist competition algorithm is applied to implement an energy management system for optimization purposes. A comparison is carried out between the proposed algorithm and classical techniques, including particle swarm optimization and a modified conventional energy management system algorithms. An artificial neural network combined with Markov-chain approach is used to predict non-dispatchable power generation and load demand under uncertainty conditions. The proposed algorithm is evaluated experimentally on an MG testbed, and the obtained results demonstrate the efficiency of the proposed algorithm to minimize the total generation cost with a fast calculation time, which makes it useful for real-time applications. Copyright © 2015 John Wiley & Sons, Ltd.