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Renewable Energy Resources Impact on Clean Electrical Power by developing the North-West England Hydro Resource Model.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

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Renewable Energy Resources Impact on Clean Electrical Power by developing the North-West England Hydro Resource Model. / Leigh, P.; Aggidis, George A.; Howard, D. et al.
International Conference on Clean Electrical Power, 2007. ICCEP '07. IEEE, 2007. p. 315-322.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Leigh, P, Aggidis, GA, Howard, D & Rothschild, R 2007, Renewable Energy Resources Impact on Clean Electrical Power by developing the North-West England Hydro Resource Model. in International Conference on Clean Electrical Power, 2007. ICCEP '07. IEEE, pp. 315-322. https://doi.org/10.1109/ICCEP.2007.384230

APA

Leigh, P., Aggidis, G. A., Howard, D., & Rothschild, R. (2007). Renewable Energy Resources Impact on Clean Electrical Power by developing the North-West England Hydro Resource Model. In International Conference on Clean Electrical Power, 2007. ICCEP '07 (pp. 315-322). IEEE. https://doi.org/10.1109/ICCEP.2007.384230

Vancouver

Leigh P, Aggidis GA, Howard D, Rothschild R. Renewable Energy Resources Impact on Clean Electrical Power by developing the North-West England Hydro Resource Model. In International Conference on Clean Electrical Power, 2007. ICCEP '07. IEEE. 2007. p. 315-322 doi: 10.1109/ICCEP.2007.384230

Author

Leigh, P. ; Aggidis, George A. ; Howard, D. et al. / Renewable Energy Resources Impact on Clean Electrical Power by developing the North-West England Hydro Resource Model. International Conference on Clean Electrical Power, 2007. ICCEP '07. IEEE, 2007. pp. 315-322

Bibtex

@inbook{48357ea42d22433b8ddcbd6d93801f33,
title = "Renewable Energy Resources Impact on Clean Electrical Power by developing the North-West England Hydro Resource Model.",
abstract = "This paper describes the development of a sequential decision support system to promote hydroelectric power in North-West England. The system, composed of integrated models, addresses barriers to the installation of hydroelectric power schemes. Information is linked through an economic assessment which identifies different turbine options, assesses their suitability for location and demand; and combines the different types of information in a way that supports decision making. The system is structured into five components: the hydrological resource is modelled using Low Flows 2000, the turbine options are identified from hydrological, environmental and demand requirements; and the consequences of different solutions will be fed into other components so that the environmental impacts and public acceptability can be assessed and valued. A preliminary case study is presented on an old gunpowder works to illustrate how the resource model may be employed. Historical architectural structures, power uptake and educational instruction of hydro power technology are considered.",
author = "P. Leigh and Aggidis, {George A.} and D. Howard and R. Rothschild",
note = "2007 International Conference on Clean Electrical Power (ICCEP), Capril Italy, 21-23 May 2007.",
year = "2007",
month = may,
doi = "10.1109/ICCEP.2007.384230",
language = "English",
isbn = "1424406323",
pages = "315--322",
booktitle = "International Conference on Clean Electrical Power, 2007. ICCEP '07",
publisher = "IEEE",

}

RIS

TY - CHAP

T1 - Renewable Energy Resources Impact on Clean Electrical Power by developing the North-West England Hydro Resource Model.

AU - Leigh, P.

AU - Aggidis, George A.

AU - Howard, D.

AU - Rothschild, R.

N1 - 2007 International Conference on Clean Electrical Power (ICCEP), Capril Italy, 21-23 May 2007.

PY - 2007/5

Y1 - 2007/5

N2 - This paper describes the development of a sequential decision support system to promote hydroelectric power in North-West England. The system, composed of integrated models, addresses barriers to the installation of hydroelectric power schemes. Information is linked through an economic assessment which identifies different turbine options, assesses their suitability for location and demand; and combines the different types of information in a way that supports decision making. The system is structured into five components: the hydrological resource is modelled using Low Flows 2000, the turbine options are identified from hydrological, environmental and demand requirements; and the consequences of different solutions will be fed into other components so that the environmental impacts and public acceptability can be assessed and valued. A preliminary case study is presented on an old gunpowder works to illustrate how the resource model may be employed. Historical architectural structures, power uptake and educational instruction of hydro power technology are considered.

AB - This paper describes the development of a sequential decision support system to promote hydroelectric power in North-West England. The system, composed of integrated models, addresses barriers to the installation of hydroelectric power schemes. Information is linked through an economic assessment which identifies different turbine options, assesses their suitability for location and demand; and combines the different types of information in a way that supports decision making. The system is structured into five components: the hydrological resource is modelled using Low Flows 2000, the turbine options are identified from hydrological, environmental and demand requirements; and the consequences of different solutions will be fed into other components so that the environmental impacts and public acceptability can be assessed and valued. A preliminary case study is presented on an old gunpowder works to illustrate how the resource model may be employed. Historical architectural structures, power uptake and educational instruction of hydro power technology are considered.

U2 - 10.1109/ICCEP.2007.384230

DO - 10.1109/ICCEP.2007.384230

M3 - Chapter

SN - 1424406323

SP - 315

EP - 322

BT - International Conference on Clean Electrical Power, 2007. ICCEP '07

PB - IEEE

ER -