Estimates of Energy Non-resource Costs

Estimates of Energy Non-resource Costs
Author: United States. Energy Information Administration. Office of Energy Use Analysis
Publisher:
Total Pages: 36
Release: 1979
Genre: Energy policy
ISBN:

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Marginal Costs of Energy in 1979

Marginal Costs of Energy in 1979
Author: United States. Energy Information Administration. Office of Energy Use Analysis
Publisher:
Total Pages: 44
Release: 1979
Genre: Fuel
ISBN:

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The Economics of Energy and Natural Resource Pricing

The Economics of Energy and Natural Resource Pricing
Author: United States. Congress. House. Committee on Banking, Currency, and Housing. Ad Hoc Committee on the Domestic and International Monetary Effect of Energy and Other Natural Resource Pricing
Publisher:
Total Pages: 764
Release: 1975
Genre: Natural resources
ISBN:

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Estimating Renewable Energy Economic Potential in the United States

Estimating Renewable Energy Economic Potential in the United States
Author:
Publisher:
Total Pages: 127
Release: 2015
Genre: Electric power production
ISBN:

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"This report describes a geospatial analysis method to estimate the economic potential of several renewable resources available for electricity generation in the United States. Economic potential, one measure of renewable generation potential, may be defined in several ways. For example, one definition might be expected revenues (based on local market prices) minus generation costs, considered over the expected lifetime of the generation asset. Another definition might be generation costs relative to a benchmark (e.g., a natural gas combined cycle plant) using assumptions of fuel prices, capital cost, and plant efficiency. Economic potential in this report is defined as the subset of the available resource technical potential where the cost required to generate the electricity (which determines the minimum revenue requirements for development of the resource) is below the revenue available in terms of displaced energy and displaced capacity. The assessment is conducted at a high geospatial resolution (more than 150,000 technology-specific sites in the continental United States) to capture the significant variation in local resource, costs, and revenue potential. This metric can be a useful screening factor for understanding the economic viability of renewable generation technologies at a specific location. In contrast to many common estimates of renewable energy potential, economic potential does not consider market dynamics, customer demand, or most policy drivers that may incent renewable energy generation"--Page ii.

Energy and Water Development Appropriations for 1996

Energy and Water Development Appropriations for 1996
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
Publisher:
Total Pages: 1254
Release: 1995
Genre: Energy development
ISBN:

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Optimal Control of Energy Resources for State Estimation Over Wireless Channels

Optimal Control of Energy Resources for State Estimation Over Wireless Channels
Author: Alex S. Leong
Publisher: Springer
Total Pages: 131
Release: 2017-08-16
Genre: Technology & Engineering
ISBN: 3319656147

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This brief introduces wireless communications ideas and techniques into the study of networked control systems. It focuses on state estimation problems in which sensor measurements (or related quantities) are transmitted over wireless links to a central observer. Wireless communications techniques are used for energy resource management in order to improve the performance of the estimator when transmission occurs over packet dropping links, taking energy use into account explicitly in Kalman filtering and control. The brief allows a reduction in the conservatism of control designs by taking advantage of the assumed. The brief shows how energy-harvesting-based rechargeable batteries or storage devices can offer significant advantages in the deployment of large-scale wireless sensor and actuator networks by avoiding the cost-prohibitive task of battery replacement and allowing self-sustaining sensor to be operation. In contrast with research on energy harvesting largely focused on resource allocation for wireless communication systems design, this brief optimizes estimation objectives such as minimizing the expected estimation error covariance. The resulting power control problems are often stochastic control problems which take into account both system and channel dynamics. The authors show how to pose and solve such design problems using dynamic programming techniques. Researchers and graduate students studying networked control systems will find this brief a helpful source of new ideas and research approaches.