TY - JOUR
TI - The global climate value of offshore wind energy
AU - Cranmer, A
AU - Baker, E
T2 - Environmental Research Letters
AB - We estimate the climate value of offshore wind energy with a highly flexible, forward-looking method that estimates the value in a consistent manner under a range of policies, including carbon caps and taxes. Backward looking methods measure the damages avoided due to emissions reductions attributed to renewable energy under an existing policy structure. Under a carbon cap, however, the climate value of offshore wind energy comes entirely from reducing the cost of meeting the cap. Our method for estimating the prospective climate value compares both climate damages and abatement costs in cases with and without offshore wind energy. This climate value can be compared to the costs of reducing barriers to new technologies, such as streamlining approval processes. The climate value depends on the cost of offshore wind technology, the climate policy under consideration, the severity of damages from climate change, and the discount rate. In the absence of a binding climate policy, the climate value of offshore wind energy ranges from $246 billion to $2.5 trillion under central assumptions about damages and discount rate, and can reach over $30 trillion under certain assumptions (low discount rate, high damages, low technology costs). The value of technical change – of moving from the highest cost to lowest cost assumptions about the technology – is estimated to be $300 billion even under the most unfavorable assumptions, dwarfing worldwide R&D investment in all wind energy technology. Using this method, we find that new low carbon technologies can provide a hedge against uncertainty and error in climate policies.
DA - 2020/02//
PY - 2020
VL - 15
IS - 5
SP - 054003
UR - https://iopscience.iop.org/article/10.1088/1748-9326/ab7667/meta
DO - 10.1088/1748-9326/ab7667
LA - English
KW - Wind Energy
KW - Fixed Offshore Wind
KW - Floating Offshore Wind
KW - Human Dimensions
KW - Climate Change
KW - Social & Economic Data
ER -