"Valuing the Visual Disamenity of Offshore Wind Projects at Varying Distances from the Shore: An Application on the Delaware Shoreline"

Several offshore wind power projects are under consideration in the United States. A concern with any wind power project is the visual disamenity it may create. Using a stated preference choice model, we estimated the external costs to residents of the State of Delaware for offshore wind turbines located at different distances from the coast. The annual costs to inland residents was $19,$9, $1, and$0 (2006$) for turbines located at 1, 3.6, 6, and 9 miles offshore. The cost to residents living on the ocean was$80, $69,$35, and $27 for the same increments.Windfarms, View Disamenity, Valuation

Implications of intermittency and transmission constraints for renewables deployment

We represent hourly, regional wind data and transmission constraints in an investment planning model calibrated to the UK and test sensitivities of least cost expansions to fuel and technology prices. Thus we can calculate the value of transmission expansions to the system. We represent limited public acceptance of wind and regional network constraints by maximum built rates per region and year. Thus we calculate the marginal value of improved planning and grid connection regimes. It is likely that some constraints will remain. Market designs that do not allow for regional differentiation to reflect transmission and planning constraints can increase overall costs to consumers.Investment planning model, wind power, constraint land, Network constraints.

A system-based approach to assessing the value of wind for society

A system-based approach to assessing the value of wind is based on the definition of the subsystems that lie inside the system boundary, then the categories in each subsystem, and finally the elements that compose those categories. The subsystems that were identified as affecting the value of wind are: • technology, including research, development and demonstration (RD&D), technology spillover and materials; • the energy sector, including the electricity market and electricity system categories, the security and economic aspects of security of supply and the wider non-electricity energy market; • the wind energy market, including industrial activities and the cost of wind energy and its support, for example, in the form of subsidies, grants, taxes, fees and levies, and by the financial sector; • the broader economy, including electricity generation technology investment, government actions and industrial competitiveness; • social, covering employment, the impact on land or the sea, social acceptance, non-economic costs of administration, anti-wind campaigns, health and safety issues; • environmental categories, including life-cycle greenhouse gas emissions, air pollution, water use and land and water surface. The result is a guide that could be used by analysts and practitioners of policy-support theory and practice to define which subsystems, categories and/or elements they decide to include in a prospective analysis of the value (and the impact) of wind for society.JRC.F.6-Energy Technology Policy Outloo

Modelling Wind in the Electricity Sector

We represent hourly, regional an wind data and transmission constraints in an investment planning model calibrated to the UK and test sensitivities of least cost expansions to fuel and technology prices. Thus we can calculate the value of transmission expansions to the system. We represent limited public acceptance of wind and regional network constraints by maximum built rates per region and year. Thus we calculate the marginal value of improved planning and grid connection regimes. It is likely that some constraints will remain. Market designs that do not allow for regional differentiation to reflect transmission and planning constraints can increase overall costs to consumers