Query Result Set
Skip Navigation Links
   ActiveUsers:431Hits:19886258Skip Navigation Links
Show My Basket
Contact Us
IDSA Web Site
Ask Us
Today's News
HelpExpand Help
Advanced search

  Hide Options
Sort Order Items / Page
STOCHASTIC PROGRAMMING (4) answer(s).
 
SrlItem
1
ID:   111349


Critical mid-term uncertainties in long-term decarbonisation pa / Usher, Will; Strachan, Neil   Journal Article
Strachan, Neil Journal Article
0 Rating(s) & 0 Review(s)
Publication 2012.
Summary/Abstract Over the next decade, large energy investments are required in the UK to meet growing energy service demands and legally binding emission targets under a pioneering policy agenda. These are necessary despite deep mid-term (2025-2030) uncertainties over which national policy makers have little control. We investigate the effect of two critical mid-term uncertainties on optimal near-term investment decisions using a two-stage stochastic energy system model. The results show that where future fossil fuel prices are uncertain: (i) the near term hedging strategy to 2030 differs from any one deterministic fuel price scenario and is structurally dissimilar to a simple 'average' of the deterministic scenarios, and (ii) multiple recourse strategies from 2030 are perturbed by path dependencies caused by hedging investments. Evaluating the uncertainty under a decarbonisation agenda shows that fossil fuel price uncertainty is very expensive at around £20 billion. The addition of novel mitigation options reduces the value of fossil fuel price uncertainty to £11 billion. Uncertain biomass import availability shows a much lower value of uncertainty at £300 million. This paper reveals the complex relationship between the flexibility of the energy system and mitigating the costs of uncertainty due to the path-dependencies caused by the long-life times of both infrastructures and generation technologies.
        Export Export
2
ID:   162960


Effectiveness of crop residuals in ethanol and pyrolysis-based electricity production: a stochastic analysis under uncertain climate impacts / Kung, Chih-Chun   Journal Article
Kung, Chih-Chun Journal Article
0 Rating(s) & 0 Review(s)
Summary/Abstract Taiwan aims to replace all nuclear power with renewable energy by 2025, and thus how much electricity from such sources can actually sustain or improve its energy structure must be thoroughly evaluated. This study is designed to explore the Taiwan's bioenergy potential in the face of climate change and climate-induced crop yield change. Multiple bioenergy technologies and energy crops and residuals are embedded in a two-stage stochastic programming with recourse model to discover their efficiency under changes in crop yields and market conditions. The results show that up to 2.26% of total electricity demand can be fulfilled with pyrolysis-based electricity and more than 3.1 million tons of emission reduction can be achieved. Climate-induced crop yield change, if it is small, shall not have considerable influences on bioenergy technology selection and bioenergy output, but land use may be altered considerably with an additional $NT 2.88 billion dollars in government expenditures on support programs.
        Export Export
3
ID:   029311


Probabilistic programming / Vajda, S 1972  Book
Vajda, S Book
0 Rating(s) & 0 Review(s)
Publication New York, Academic Press, 1972.
Description ix, 127p.Hardbound
Series Probability and mathematical statistics: a series of monographs and textbooks
Standard Number 0127101500
        Export Export
Copies: C:1/I:0,R:0,Q:0
Circulation
Accession#Call#Current LocationStatusPolicyLocation
010241519.7/VAJ 010241MainOn ShelfGeneral 
4
ID:   117269


Short-term strategies for Dutch wind power producers to reduce / Chaves-Avila, Jose Pablo; Hakvoort, Rudi A; Ramos, Andres   Journal Article
Chaves-Avila, Jose Pablo Journal Article
0 Rating(s) & 0 Review(s)
Publication 2013.
Summary/Abstract The paper assesses bidding strategies for a wind power producer in the Netherlands. To this end, a three-stage stochastic optimization framework is used, maximizing wind power producer's profit using the day-ahead and cross-border intraday market, taking into account available interconnection capacity. Results show that the wind power producer can increase its profits by trading on the intraday market and - under certain imbalance prices - by intentionally creating imbalances. It has been considered uncertainties about prices, power forecast and interconnection capacity at the day-ahead and intraday timeframes.
        Export Export