Optimal investment decisions in transmission expansion

2012 ◽  
Author(s):  
Chin Yen Tee ◽  
Marija Ilic
Keyword(s):  
Investment Decisions ◽  
Optimal Investment ◽  
Transmission Expansion

Price and subsidy under uncertainty: Real-option approach to optimal investment decisions on energy storage with solar PV

2021 ◽  
pp. 0958305X2199229
Author(s):  
Jingyu Qu ◽  
Wooyoung Jeon
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Real Option ◽  
Financial Burden ◽  
Investment Decisions ◽  
Optimal Investment ◽  
Investment Incentives ◽  
Solar Pv ◽  
Increased Risk ◽  
Trigger Price

Renewable generation sources still have not achieved economic validity in many countries including Korea, and require subsidies to support the transition to a low-carbon economy. An initial Feed-In Tariff (FIT) was adopted to support the deployment of renewable energy in Korea until 2011 and then was switched to the Renewable Portfolio Standard (RPS) to implement more market-oriented mechanisms. However, high volatilities in electricity prices and subsidies under the RPS scheme have weakened investment incentives. In this study we estimate how the multiple price volatilities under the RPS scheme affect the optimal investment decisions of energy storage projects, whose importance is increasing rapidly because they can mitigate the variability and uncertainty of solar and wind generation in the power system. We applied mathematical analysis based on real-option methods to estimate the optimal trigger price for investment in energy-storage projects with and without multiple price volatilities. We found that the optimal trigger price of subsidy called the Renewable Energy Certificate (REC) under multiple price volatilities is 10.5% higher than that under no price volatilities. If the volatility of the REC price gets doubled, the project requires a 26.6% higher optimal investment price to justify the investment against the increased risk. In the end, we propose an auction scheme that has the advantage of both RPS and FIT in order to minimize the financial burden of the subsidy program by eliminating subsidy volatility and find the minimum willingness-to-accept price for investors.

Unravelling the opposing effects of network clustering on electricity system models with high shares of renewables

2021 ◽  
Author(s):  
Martha Frysztacki ◽  
Jonas Hörsch ◽  
Veit Hagenmeyer ◽  
Tom Brown
Keyword(s):  
Spatial Resolution ◽  
Social Acceptance ◽  
Optimal Solution ◽  
Renewable Resource ◽  
Optimal Investment ◽  
Data Sets ◽  
Network Clustering ◽  
High Resolution Data ◽  
Transmission Expansion ◽  
Expansion Model

<p>Energy systems are typically modeled with a low spatial resolution that is based on administrative boundaries such as countries, which eases data collection and reduces computation times. However, a low spatial resolution can lead to sub-optimal investment decisions for renewable generation, transmission expansion or both. Ignoring power grid bottlenecks within regions tends to underestimate system costs, while combining locations with different renewable capacity factors tends to overestimate costs. We investigate these two competing effects in a capacity expansion model for Europe’s future power system that reduces carbon emissions by 95% compared to 1990s levels, taking advantage of newly-available high-resolution data sets and computational advances. We vary the model resolution by changing the number of substations, interpolating between a 37-node model where every country and synchronous zone is modeled with one node respectively, and a 512-node model based on the location of electricity substations. If we focus on the effect of renewable resource resolution and ignore network restrictions, we find that a higher resolution allows the optimal solution to concentrate wind and solar capacity at sites with higher capacity factors and thus reduces system costs by up to 10.5% compared to a low resolution model. This results in a big swing from offshore to onshore wind investment. However, if we introduce grid bottlenecks by raising the network resolution, costs increase by up to 19% as generation has to be sourced more locally where demand is high, typically at sites with worse capacity factors. These effects are most pronounced in scenarios where transmission expansion is limited, for example, by low social acceptance.</p>

AMERIREAL Corporation

2011 ◽  
pp. 21-31
Author(s):  
Mo Adam Mahmood ◽  
Gary J. Mann ◽  
Mark Dubrow
Keyword(s):  
Information Technology ◽  
Organizational Performance ◽  
Investment Decisions ◽  
Optimal Investment ◽  
Student Thinking ◽  
It Investment ◽  
The Subject ◽  
Case Based

This instructional case, based on an actual firm’s experience (name changed) is intended to challenge student thinking with regard to the extent to which information technology (IT) can demonstrably contribute to organizational performance and productivity, and to which users of IT can relate their investment decisions to measurable outcomes. Relationships between an organization’s investment in IT and the effect of such investments on the organization’s performance and productivity have long been the subject of discussion and research. Managers, interested in knowing the “payoff” of such investments, are continually seeking answers to this question. A failure to understand the benefits of IT investment, or an over- or under-estimation of the benefits of a planned investment in IT relative to the costs, will likely result in less than optimal investment decisions.

Optimal investment decisions when time-horizon is uncertain

2008 ◽  
Vol 44 (11) ◽  
pp. 1100-1113 ◽  
Author(s):  
Christophette Blanchet-Scalliet ◽  
Nicole El Karoui ◽  
Monique Jeanblanc ◽  
Lionel Martellini
Keyword(s):  
Time Horizon ◽  
Investment Decisions ◽  
Optimal Investment

Instantaneous optimal investment decisions with costly and costless reversibility

EconoQuantum ◽  
2007 ◽  
Vol 3 (2) ◽  
pp. 71-88
Author(s):  
Öner Günçavdi ◽  
◽  
Seyidali S. Akhiev ◽  
Andrew McKay ◽  
◽  
...  
Keyword(s):  
Investment Decisions ◽  
Optimal Investment

scholarly journals Observed heterospecific clutch size can affect offspring investment decisions

2011 ◽  
Vol 8 (3) ◽  
pp. 341-343 ◽  
Author(s):  
Jukka T. Forsman ◽  
Janne-Tuomas Seppänen ◽  
Inka L. Nykänen
Keyword(s):  
Clutch Size ◽  
Bird Species ◽  
Investment Decisions ◽  
Optimal Investment ◽  
Migratory Bird ◽  
Lifetime Reproductive Success ◽  
Egg Mass ◽  
Artificial Nests ◽  
Fine Tune

Optimal investment in offspring is important in maximizing lifetime reproductive success. Yet, very little is known how animals gather and integrate information about environmental factors to fine tune investment. Observing the decisions and success of other individuals, particularly when those individuals initiate breeding earlier, may provide a way for animals to quickly arrive at better breeding investment decisions. Here we show, with a field experiment using artificial nests appearing similar to resident tit nests with completed clutches, that a migratory bird can use the observed high and low clutch size of a resident competing bird species to increase and decrease clutch size and egg mass, accordingly. Our results demonstrate that songbirds can discriminate between high and low quantity of heterospecific eggs, and that social information can have long-term physiological consequences affecting reproductive strategies. Such behaviour may help animals to better adapt to changing environments and lead to convergent traits with competitors.

Technological Innovation, Product Life Cycle and Market Power: A Real Options Approach

2015 ◽  
Vol 14 (01) ◽  
pp. 93-113 ◽  
Author(s):  
Johnson T. S. Cheng ◽  
I-Ming Jiang ◽  
Yu-Hong Liu
Keyword(s):  
Life Cycle ◽  
Real Options ◽  
Market Power ◽  
Technological Innovation ◽  
Product Life Cycle ◽  
Investment Decision ◽  
Investment Decisions ◽  
Optimal Investment ◽  
Product Life ◽  
Real Options Approach

This paper employs a real options approach to analyze optimal investment decisions. When investment projects have the characteristics of irreversibility, uncertainty and the option to wait or exit, the traditional net present value (NPV) method would underestimate the value of investment, since it neglects the values of timing and operational flexibility. The distinctive feature of this paper is that the effects of product life cycle (PLC) as well as market power are incorporated into the model. In addition, and different to the approach in Liao et al. [Optimal investment decision and product life cycle: A real options approach, Sun Yat-Sen Management Review 11(3) (2003) 1–36], we introduce the concept of technological innovation into the model. It is shown that the optimal waiting time for the investment is longer than both those in the American call options model of McDonald and Siegel [The value of waiting to invest, Quarterly Journal of Economics 101(4) (1986) 707–727], which does not incorporate dividend yield, and Liao et al. [Optimal investment decision and product life cycle: A real options approach, Sun Yat-Sen Management Review 11(3) (2003) 1–36], but is shorter than that in Dixit and Pindyck's [Investment under Uncertainty (Princeton University Press, Princeton, NJ, 1994)] model, which incorporates dividend yield. Finally, a comparative static is used to analyze the determinants of optimal investment decisions. Our results indicate that the investment-ratio threshold will be higher, and thus the optimal entry time for an investment will be delayed, when (1) the PLC is longer, (2) the uncertainty is greater, (3) the discounting rate is higher, (4) market power is larger, (5) jump size intensity is stronger and (6) the payoff out ratio (R&D/revenue) is larger.

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