138,543 research outputs found
Maine Comprehensive Energy Plan
Prepare a comprehensive energy resources plan to be revised and updated at least annually and more often as the Director of the Office of Energy Resources or the State Legislature deem necessary
The Economics of Solar Water Heaters : A Guide for Evaluating the Cost-Effectiveness of Active Solar Water Heating Systems in Maine
The Economics of Solar Water Heaters : A Guide for Evaluating the Cost-Effectiveness of Active Solar Water Heating Systems in Maine
State of Maine, Executive Department, Office of Energy Resources,
Augusta, Maine (July, 1979).
Contents: Section I: Introduction / Section II: Economic Method: The Life Cycle Cost Analysis / Section III: Factors Affecting the Decision to Buy / Section IV: Explanation of the Tables / Table I - Table IIIAhttps://digitalcommons.usm.maine.edu/me_collection/1155/thumbnail.jp
Sun, Wind, Water, Wood : Using Maine\u27s Renewable Resources Through Appropriate Technology
Sun, Wind, Water, Wood : Using Maine\u27s Renewable Resources Through Appropriate Technology.
State of Maine Office of Energy Resources. (1986?)
Contents: Solar / Biomass / Water & Wind Powerhttps://digitalcommons.usm.maine.edu/me_collection/1064/thumbnail.jp
Risk-Aware Management of Distributed Energy Resources
High wind energy penetration critically challenges the economic dispatch of
current and future power systems. Supply and demand must be balanced at every
bus of the grid, while respecting transmission line ratings and accounting for
the stochastic nature of renewable energy sources. Aligned to that goal, a
network-constrained economic dispatch is developed in this paper. To account
for the uncertainty of renewable energy forecasts, wind farm schedules are
determined so that they can be delivered over the transmission network with a
prescribed probability. Given that the distribution of wind power forecasts is
rarely known, and/or uncertainties may yield non-convex feasible sets for the
power schedules, a scenario approximation technique using Monte Carlo sampling
is pursued. Upon utilizing the structure of the DC optimal power flow (OPF), a
distribution-free convex problem formulation is derived whose complexity scales
well with the wind forecast sample size. The efficacy of this novel approach is
evaluated over the IEEE 30-bus power grid benchmark after including real
operation data from seven wind farms.Comment: To appear in Proc. of 18th Intl. Conf. on DSP, Santorini Island,
Greece, July 1-3, 201
Maine Comprehensive Energy Plan, 1978 Edition
https://digitalmaine.com/energy_resources_publications/1010/thumbnail.jp
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