The TidGen Power System generates emission-free electricity from tidal currents and connects directly into existing grids using smart grid technology. The power system consists of three major subsystems: shore-side power electronics, mooring system, and turbine generator unit (TGU) device. This submission includes the Advanced TidGen cost and cost of energy metrics after critical design review for BP1, and a complete LCOE content model and LCOE reporting according to DOE guidance for the baseline system and the system with advanced technology integrated. A revised LCOE content model is also included, with more relevant market array assumptions. Additionally, this submission includes a complete system overview and component overview content models. The LCOE Content Model provides data submitters with an easy and consistent means of uploading data that can be used to calculate the levelized cost of energy for MHK devices. Data represents the design completed for the Critical Design Review conducted at ORPC in December, 2017. All values are for a single device. Note that with substantial fixed costs, larger arrays will greatly reduce LCOE. For an array in Admiralty Inlet producing 136,000 MWh, 270 devices with an array CAPEX of $540,260,052 and an array OPEX of $39,959,207 would result in an LCOE of $722/MWh.

Bell Creek baseline seismic survey conducted in 2012. The raster layers represent a map of the RMS amplitude slice between the horizons Springen Ranch and the Skull Creek (Muddy Formation) enclosing the Bell Creek sand reservoir at the Bell Creek oil field. This gridded dataset was interpolated within ArcGIS based upon seismic amplitude values measured across the study area. Baseline2012 contains 3 rasters: -Clpbase2012 is the baseline survey. -Clp2012ovr14 is the baseline survey clipped down to where it overlaps the 2014 monitor survey. -Clp2012ovr15 is the baseline survey clipped down to where it overlaps the 2015 monitor survey. Additional information regarding this data and interpretations can be found in the following document: Salako, O., Livers., A.J., Burnison, S.A., Hamling, J.A., Wildgust, N., Gorecki, C.D., Glazewski, K.A., and Heebink, L.V., 2017, Analysis of Expanded Seismic Campaign: Plains CO2 Reduction (PCOR) Partnership Phase III draft Task 9 Deliverable D104 for U.S. Department of Energy National Energy Technology Laboratory Cooperative Agreement No. DE-FC26-05NT42592, Grand Forks, North Dakota, Energy & Environmental Research Center, June.

Project baseline levelized cost of energy (LCOE) model for the Centipod WEC containing annual energy production (AEP) data, a cost breakdown structure (CBS), model documentation, and the LCOE content model. This baseline was built for comparison with the resultant LCOE model, built after implementation of the model predictive control (MPC) controller.

As part of the geophysical characterization suite for the first EGS Collab tesbed, here are the baseline cross-well seismic data and resultant models. The campaign seismic data have been organized, concatenated with geometry and compressional (P-) & and shear (S-) wave picks, and submitted as SGY files. P-wave data were collected and analyzed in both 2D and 3D, while S-wave data were collected and analyzed in 2D only. Inversion models are provided as point volumes; the volumes have been culled to include only the points within source/receiver array coverage. The full models space volumes are also included, if relevant. An AGU 2018 poster by Linneman et al. is included that provides visualizations/descriptions of the cross-well seismic characterization method, elastic moduli calculations, and images of model inversion results.

This is an LCOE (levelized cost of energy) baseline assessment for the Wave Carpet.

This folder contains the input data for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) source water baselines studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. There are also eight other separate DAMS submissions, one per source water, that include the model results for the published studies. In this data submission, all model inputs across the eight baselines are included. The data structure and content are described in a README.txt file. For more details on how to use the data in WaterTAP3 please refer to the model documentation and GitHub site found at "WaterTAP3 Github" linked in the submission resources.

Description: This folder contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. The data structure and content are described in a README.txt file. For more details on how to use the data and interpret the results please refer to the model documentation and GitHub site linked in the submission.

Policysupport.org is home to a range of web-based policy support systems developed, since 2003, collaboratively by AmbioTEK CIC, and applied by King's College London and a range of other partners as specified for each system. The systems are based on the common ecoengine framework for developing web based policy support systems (AmbioTEK) and SimTerra databases (AmbioTEK) but are very varied in their applications (King's College London). Applications in the Policy Support Suite include: WaterWorld: a testbed for the development and implementation of land and water related policies for sites and regions globally, enabling their intended and unintended consequences to be tested in silico before they are tested in vivo. WaterWorld can also be used to understand the hydrological and water resources baseline and water risk factors associated with specific activities under current conditions and under scenarios for land use, land management and climate change. It incorporates detailed spatial datasets at 1-square km and 1 hectare resolution for the entire world, spatial models for biophysical and socio-economic processes along with scenarios for climate, land use and economic change. A series of interventions (policy options) are available which can be implemented and their consequences traced through the socio-economic and biophysical systems. The model integrates with a range of geobrowsers for immersive visualisation of outcomes. AguAAndes: a testbed for the development and implementation of land and water related policies in the Andes, enabling intended and unintended consequences to be tested in silico before they are tested in vivo . It incorporates detailed spatial datasets at 1-square km and 1 hectare resolution for the entire Andes, spatial models for biophysical and socioeconomic processes along with scenarios for climate, land use and economic change. A series of interventions (policy options) are available which can be implemented and their consequences traced through the socio-economic and biophysical systems. CompAndes: a web based tool based on AguAAndes and is developed as a Negotiation Support System (NSS) for negotiations around benefit sharing mechanisms for water. This NSS is a testbed for negotiations around benefit sharing mechanisms for water focusing on sustaining equitable flows of water for all through appropriate land, ecosystem and water management. It is focused on enabling the intended and unintended consequences of benefit sharing mechanisms to be tested in silico before they are tested in vivo. Co$ting Nature: a web based tool for natural capital accounting and analysing the ecosystem services provided by natural environments (i.e. nature's benefits), identifying the beneficiaries of these services and assessing the impacts of human interventions. This PSS is a testbed for the development and implementation of conservation strategies focused on sustaining and improving ecosystem services. MENARA: a web based policy support system for understanding strength, weakness, opportunity and threat (SWOT) at scales from pixel through regional to national considering environment, water, energy, food, economy and population. It is an horizon scanning tool to identify material threats, opportunities and choke points that may precipitate conflict and is designed to help to think through locally appropriate policy responses. FIESTA-FOGINT: a research model to quantify fog inputs in absolute terms and as a proportion of rainfall. Commonly applied to tropical montane cloud affected forests. Also maps the distribution of these forests. EcoActuary: a testbed for the development and implementation of green and grey infrastructure investments focused on reducing the risk to insured assets of multi-hazard risks, including flooding and drought. It incorporates detailed spatial datasets at 1-square km and 1 hectare resolution for the entire world, spatial models for biophysical and socioeconomic processes along with scenarios for climate, land use and economic change. A series of investments can be implemented and their consequences traced through the socio-economic and biophysical systems. An actuary determines the probability (and financial consequences) of risks. They work with accountants, underwriters (and catastrophe modellers) to set insurance rates (premiums). The Eco:Actuary determines mitigation of risk by specific configurations of green infrastructure (GI) and by asset adaptation. It helps understand the asset value protected by GI, alongside other GI co-benefits (ecosystem services). The Eco:Actuary helps advise risk reduction, resilience to avoid losses.