Methodology for evaluating the economic pay-off of a more powerful wave energy resource

O. Roberts; H. Jeffrey; P. Ruiz-Minguela

Methodology for evaluating the economic pay-off of a more powerful wave energy resource

O. Roberts, H. Jeffrey, P. Ruiz-Minguela

RENOVABLES OFFSHORE

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

This study demonstrates a methodology for investigating the influence of Power Level (PL) on economic returns even when the exact characteristics of the chosen location are unknown. By linearising the relationship between site PL and the distribution of wave height and wave period, the influence on productivity and cost can be determined. An economic model is used to estimate Wave Energy Converter (WEC) performance and calculate the cost of four cost centres: the structure, mooring, power take-off and cabling, based on the PL. The results show that the rate of decrease in LCOE decreases with increasing PL, but that this trend is location specific. In certain cases, beyond 55 kW/m there is no improvement in the LCOE. This shows that careful, site-specific consideration needs to be given to selecting a more powerful energy resource for (WEC) deployment.

Idioma original	Inglés
Título de la publicación alojada	Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018
Editores	C. Guedes Soares
Editorial	CRC Press/Balkema
Páginas	95-103
Número de páginas	9
ISBN (versión impresa)	9781138585355
Estado	Publicada - 2019
Evento	3rd International Conference on Renewable Energies Offshore, RENEW 2018 - Lisbon, Portugal Duración: 8 oct 2018 → 10 oct 2018

Serie de la publicación

Nombre	Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018

Conferencia

Conferencia	3rd International Conference on Renewable Energies Offshore, RENEW 2018
País/Territorio	Portugal
Ciudad	Lisbon
Período	8/10/18 → 10/10/18

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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Roberts, O., Jeffrey, H., & Ruiz-Minguela, P. (2019). Methodology for evaluating the economic pay-off of a more powerful wave energy resource. En C. G. Soares (Ed.), Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018 (pp. 95-103). (Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018). CRC Press/Balkema.

Roberts, O. ; Jeffrey, H. ; Ruiz-Minguela, P. / Methodology for evaluating the economic pay-off of a more powerful wave energy resource. Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018. editor / C. Guedes Soares. CRC Press/Balkema, 2019. pp. 95-103 (Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018).

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title = "Methodology for evaluating the economic pay-off of a more powerful wave energy resource",

abstract = "This study demonstrates a methodology for investigating the influence of Power Level (PL) on economic returns even when the exact characteristics of the chosen location are unknown. By linearising the relationship between site PL and the distribution of wave height and wave period, the influence on productivity and cost can be determined. An economic model is used to estimate Wave Energy Converter (WEC) performance and calculate the cost of four cost centres: the structure, mooring, power take-off and cabling, based on the PL. The results show that the rate of decrease in LCOE decreases with increasing PL, but that this trend is location specific. In certain cases, beyond 55 kW/m there is no improvement in the LCOE. This shows that careful, site-specific consideration needs to be given to selecting a more powerful energy resource for (WEC) deployment.",

author = "O. Roberts and H. Jeffrey and P. Ruiz-Minguela",

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Roberts, O, Jeffrey, H & Ruiz-Minguela, P 2019, Methodology for evaluating the economic pay-off of a more powerful wave energy resource. En CG Soares (ed.), Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018. Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018, CRC Press/Balkema, pp. 95-103, 3rd International Conference on Renewable Energies Offshore, RENEW 2018, Lisbon, Portugal, 8/10/18.

Methodology for evaluating the economic pay-off of a more powerful wave energy resource. / Roberts, O.; Jeffrey, H.; Ruiz-Minguela, P.
Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018. ed. / C. Guedes Soares. CRC Press/Balkema, 2019. p. 95-103 (Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Methodology for evaluating the economic pay-off of a more powerful wave energy resource

AU - Roberts, O.

AU - Jeffrey, H.

AU - Ruiz-Minguela, P.

PY - 2019

Y1 - 2019

N2 - This study demonstrates a methodology for investigating the influence of Power Level (PL) on economic returns even when the exact characteristics of the chosen location are unknown. By linearising the relationship between site PL and the distribution of wave height and wave period, the influence on productivity and cost can be determined. An economic model is used to estimate Wave Energy Converter (WEC) performance and calculate the cost of four cost centres: the structure, mooring, power take-off and cabling, based on the PL. The results show that the rate of decrease in LCOE decreases with increasing PL, but that this trend is location specific. In certain cases, beyond 55 kW/m there is no improvement in the LCOE. This shows that careful, site-specific consideration needs to be given to selecting a more powerful energy resource for (WEC) deployment.

AB - This study demonstrates a methodology for investigating the influence of Power Level (PL) on economic returns even when the exact characteristics of the chosen location are unknown. By linearising the relationship between site PL and the distribution of wave height and wave period, the influence on productivity and cost can be determined. An economic model is used to estimate Wave Energy Converter (WEC) performance and calculate the cost of four cost centres: the structure, mooring, power take-off and cabling, based on the PL. The results show that the rate of decrease in LCOE decreases with increasing PL, but that this trend is location specific. In certain cases, beyond 55 kW/m there is no improvement in the LCOE. This shows that careful, site-specific consideration needs to be given to selecting a more powerful energy resource for (WEC) deployment.

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T3 - Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018

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BT - Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018

A2 - Soares, C. Guedes

PB - CRC Press/Balkema

T2 - 3rd International Conference on Renewable Energies Offshore, RENEW 2018

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ER -

Roberts O, Jeffrey H, Ruiz-Minguela P. Methodology for evaluating the economic pay-off of a more powerful wave energy resource. En Soares CG, editor, Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018. CRC Press/Balkema. 2019. p. 95-103. (Advances in Renewable Energies Offshore - Proceedings of the 3rd International Conference on Renewable Energies Offshore, RENEW 2018).

Methodology for evaluating the economic pay-off of a more powerful wave energy resource

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Conferencia

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