Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Development of a novel market forecasting tool and its application to hydrogen energy production in Scotland

Houghton, T. and Cruden, A. (2010) Development of a novel market forecasting tool and its application to hydrogen energy production in Scotland. International Journal of Hydrogen Energy, 35 (16). pp. 8385-8397. ISSN 0360-3199

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

The authors propose a novel model for forecasting the deployment of hydrogen energy systems based on a company value maximisation algorithm, designed to assist governments and other industry players in decision-making and the development of appropriate policy instruments. Current cost-minimisation approaches, such as MARKAL, have limitations particularly where price arbitrage between energy streams exists. A theoretical relationship between market sector valuations and investment activity is developed and the model is subsequently applied to the Scottish hydrogen energy market. Through the utilisation of net present value, revenue and profitability based valuations, the impact of investing in hydrogen energy infrastructure projects on three key market competitors is considered. It is shown that the three methods for calculating the value impact render different results suggesting that the use of a single method to assess forecast development scenarios, whether cost or value-based methods, may be misleading and that the holistic approach proposed is more realistic. The archivable value of this paper is to demonstrate the impact that investor expectations can have on investment decisions, a facet not captured in traditional methods of forecasting. (C) 2010 Professor T. Nejat Veziroglu. Published by Elsevier Ltd. All rights reserved.