Including Investment Risk in Large-Scale Power-Market Models

التفاصيل البيبلوغرافية
العنوان: Including Investment Risk in Large-Scale Power-Market Models
المؤلفون: Jørgen Kjærgaard Lemming, P. Meibom
المصدر: Energy & Environment. 14:599-626
بيانات النشر: SAGE Publications, 2003.
سنة النشر: 2003
مصطلحات موضوعية: Environmental Engineering, Renewable Energy, Sustainability and the Environment, 020209 energy, Financial risk, Partial equilibrium, Energy Engineering and Power Technology, 02 engineering and technology, 010501 environmental sciences, Investment (macroeconomics), 01 natural sciences, Variable cost, Microeconomics, Scale (social sciences), 0202 electrical engineering, electronic engineering, information engineering, Economics, Production (economics), Energy market, Value at risk, 0105 earth and related environmental sciences, Energy (miscellaneous)
الوصف: Long-term energy market models can be used to examine investments in production technologies, however, with market liberalisation it is crucial that such models include investment risks and investor behaviour. This paper analyses how the effect of investment risk on production technology selection can be included in large-scale partial equilibrium models of the power market. The analyses are divided into a part about risk measures appropriate for power market investors and a more technical part about the combination of a risk-adjustment model and a partial-equilibrium model. To illustrate the analyses quantitatively, a framework based on an iterative interaction between the equilibrium model and a separate risk-adjustment module was constructed. To illustrate the features of the proposed modelling approach we examined how uncertainty in demand and variable costs affects the optimal choice of production technologies.
تدمد: 2048-4070
0958-305X
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::a98038e172d075ba2f16fdbd4ec250d1Test
https://doi.org/10.1260/095830503322663375Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........a98038e172d075ba2f16fdbd4ec250d1
قاعدة البيانات: OpenAIRE