Effects of Transmission Congestion on Different Incentive Policies for Renewable Energy

Autor: Miguel Pérez de Arce, Enzo Sauma, Javier Contreras

Publikováno v: Journal of Energy Engineering. 143

This paper analyzes the effects of relieving power transmission congestion to encourage the development of renewable energy (RE) under different regulatory policies. The present model is based on Cournot competition and incorporates uncertainty and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f30e1faa8bf91721443b9bbeb02a5bea
https://doi.org/10.1061/(asce)ey.1943-7897.0000360

Multiple Equilibria in Oligopolistic Power Markets with Feed-in Tariff Incentives for Renewable Energy Generation

Autor: Miguel Pérez de Arce, Javier Contreras, Enzo Sauma

Publikováno v: HICSS

Different policies have been implemented to incentivize the development of renewable energy generation. One of these policies is the feed-in tariff mechanism. When evaluating this policy, the typical approach is to look at the social welfare and the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1b58eeee8709bae5c1dc21f3b23fe0e3
https://doi.org/10.1109/hicss.2015.305

Royal academy of medicine in Ireland section of biological sciences

Autor: Elizabeth Law, J. D. Seigne, D. N. Kisauzi, A. Bradford, K. G. Lowry, R. G. Shanks, J. A. Houghton, S. A. M. Salem, Alison J. Morton, T. J. Lenehan, M. Murdock, S. K. Pandit, G. F. Browne, W. W. Dinsmore, Caroline G. Bullock, C. O’boyle, J. F. O’dowd, P. Cannon, H. G. McAllister, J. D. Woods, K. St. J. Lucas, C. Bolger, W. S. Lowry, M. Hussain, Emer Colleran, J. C. McElnay, S. Walsh, Miguel A. de Arce, N. M. B. Harrington, W. J. Hall, M. McGrath, B. Donne, P. Elliott, D. F. Goldspink, J. F. Andrews, D. Harris, Sheena E. M. Lewis, R. J. McClelland, M. Rowan, R. K. Mirakhur, J. D. Allen, M. E. Callender, A. Molloy, J. R. Docherty, E. W. Clark, B. F. Leek, J. L. Waddington, J. V. McLoughlin, E. M. Gebruers, S. P. Verma, Lesley A. Iggulden, C. Carroll, D. Cooney, A. H. Sidahmed, P. Strain, A. Walsh, G. A. Armstrong, J. Climax, R. J. Atkinson, R. Lambe, A. H. G. Love, A. Darragh, J. D. Bruton, W. N. Chestnutt, R. Anwyl, J. S. Fox, J. G. Kelly, D. G. McDevitt, B. Silke, Kathy M. O'Boyle, C. N. Scholfield, Hilary M. Clarke, G. I. C. Nelson, Nina A. J. Carson, P. F. D’arcy, D. McMaster, V. Young, A. K. Keenan, P. C. O’connor, W. J. Leahey, P. G. Loughran, P. T. Tomkins, K. D. Buchanan, C. T. Kirkpatrick, R. G. O’regan, J. P. Jamison, T. D. Lavery, D. Maher, S. H. Taylor, J. McCabe, E. W. Clarke, M. H. R Lewis, J. W. Dundee, R. Linggard, K. O’malley, R. E. Moore, D. J. Orr, Elizabeth White

Publikováno v: Irish Journal of Medical Science. 153:24-41

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07e0df34559320423372225313cc3cb4
https://doi.org/10.1007/bf02940521

The effect of donor sex and age on the number of sister chromatid exchanges in human lymphocytes growing in vitro

Autor: Miguel A. de Arce

Publikováno v: Human Genetics. 57:83-85

After analysing the distribution of the numbers of sister chromatid exchanges (SCE) in 200 cells from one individual, we found no evidence to reject the hypothesis of a normal distribution (P greater than 0.50). We then compared the mean numbers of S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::653710fba5517644026d7ded930ad1fd
https://doi.org/10.1007/bf00271174

A computer model for the study of segregation in reciprocal translocation carriers: application to 20 new cases

Autor: Susan P. McManus, Miguel A. De Arce, Patrick M. Grace, Giovanni Neri

Publikováno v: American journal of medical genetics. 24(3)

We report on a computer program that, given the breakpoints and the chromosomes involved in a translocation, generates all the possible imbalanced gametes, calculates their corresponding imbalances, and arranges them in order of increasing imbalance.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03712a21a085d9a11fba1aaa0059ae9f
https://pubmed.ncbi.nlm.nih.gov/3755291