The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The commercial viability of a marine renewable energy technology is impacted by a range of holistic factors related not only to the performance of the generating device, but also the characteristics of the system-of-systems within which the device operates. In this work, an investment risk assessment methodology is presented that takes account of a wide range of whole-system parameters, and provides...
Long-term power system planning is beset by a trade-off between detail and scope: The chosen approach usually lies somewhere between modeling a great many generation portfolios coarsely and very few in a more detailed manner. This paper seeks to argue that the performance of generation portfolios is influenced by a sufficiently large number of variables, of varying uncertainties, such that the long-term...
This paper proposes a new explicit, step-by-step approach for a generating company to evaluate investments considering uncertainties and future expected investment from its competitors. We introduce a probabilistic valuation model to provide to the generating company a wider analytical framework as well as to incorporate risk assessment in the evaluation. The new framework consists of i) defining...
Nowadays IPP's power plant construction is encouraged by the current deregulatory climate, and the financing technique employed to implement these projects is often the project financing formula. This means that an investor consortium, usually foreigner, plan, build, operate the power plant, and sell the generated electricity to the host utility. The sale price is determined from the expected IPP's...
Liberalization and privatization in the electricity industry have led to increased competition. At the same time, generation companies are now exposed more than ever to risk and uncertainties which they cannot pass through to their customers in the form price increases as in a regulated environment. The central challenge for electricity generators is to maximize profits under uncertainty. But this...
Power generation projects are usually capital-intensive and require long lead time, while power consumption demands high reliability of supply service. Therefore this kind of investment faces much complex situation and uncertainties especially in the liberalized electricity market. The uncertain factors bring risks and affect the benefit of the investment. The traditional DCF method supposes that...
The investment risk at various stages in power generation project is a complex and dynamic system. There're many uncertainty information in the process of investment. By analyzing the cost risks, time risks, environmental policy risks, financial risks and market risks in the preconstruction, construction and operating period of power generation project, a dynamic risk evaluating model which considered...
An analytic approach using real option theory is proposed in this paper for evaluation of wind power generation asset investment in restructured electricity industry. The model for the mean reversion process with long-term periodic mean is employed to describe the special characteristics of electricity price such as fluctuation, uncertainty and periodicity. Analytic expressions for wind power generation...
Uncertainty affecting project values makes investors hesitate to build new capacity unless profitability is significant. When analysing the potential for new renewable capacity in a region, it is therefore necessary to properly capture both uncertainty effects and decision-making behaviour of investors. Important stochastic factors typically include wholesale electricity prices and certificate prices...
The paper presents a model able to evaluate consequences of investments in hydropower systems, as well as in distributed power production. In the model both the hydraulic system, as well as local transmission grid are included. The subjects focuses on relative parameters of spot generating price such as: the uncertainty about any nuclear plants to be retired within the foreseeable future, the probability...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.